Record of Contributions#

The contributors.md file and the contributors table in the README file together form the record of contributions in The Turing Way.

Contributions to The Turing Way may include but are not limited to, bug fixing, chapter planning, writing, editing, reviewing, idea generation, presentation, project management, and maintenance. We recognise all these contributions and acknowledge our community members fairly. For example, using all contributors bot we update the contributors table with each person’s name, where the emoji keys indicate the different tasks they have done (see the README file). We understand that different contributions mean different things to people and may translate differently towards their personal interest, skill development, value exchange and advancement of their careers. Therefore, we also offer the contributors.md file as a dedicated location to capture personal highlights from The Turing Way community members.

Individual contributors are welcome to provide their details under the section β€œPersonal Highlights from The Turing Way Contributors”. Organisational support and collaborations are listed in the section, β€œCollaborating Organisations”. Each organisation name and details will be listed separately followed by contribution details of each individual contributor from that organisation.

Please see the community handbook for details on how you can be fairly acknowledged for your work.

Personal Highlights from The Turing Way Contributors#

Please use this section to highlight your personal experiences in The Turing Way project and community. You can also describe the impact The Turing Way may have on you or your team members such as in promoting reproducible, ethical, collaborative and inclusive research practices.

This record can be used in your personal or professional portfolio (profile, CV, resume) by describing features you have enhanced, goals you have accomplished, skills you gain, opportunities you receive, personal connections you make, individuals you support and values you create through your involvement in The Turing Way.

See this entry as an example by Kirstie Whitaker, the project lead:

Kirstie Whitaker#

I’m the lead of Tools, Practices and Systems research Programme at the Alan Turing Institute. I have a PhD in Neuroscience from the University of California at Berkeley and conducted my postdoctoral research at the University of Cambridge in the Brain Mapping Unit. I am a Mozilla fellowship (2016) and Fulbright scholarship (2007) alumna.

  • Personal highlights:

I am the lead of The Turing Way. I’ve done a lot of advocacy for changing research culture to make our work more efficient and effective, and I’ve noticed that we need to address the power structures in academia if we are to truly make research reproducible by default. I’m excited to build the Turing Way to both inspire the people who DO the research to make all their outputs as accessible as possible, and to nudge everyone else in the ecosystem to care about the work required to do so.

  • More information:

I’m really passionate about the concept of making science β€œopen for all”. I take that to mean we should share all of our outputs - the data, code and protocols that we develop - whether they’re β€œsignificant” or not. But it also includes making those outputs FAIR - findable, accessible, interoperable and reusable. I am an advocate for greater diversity in STEM and in data science and particularly passionate about improving the ways we reward collaborative and supportive working. Finally, I’d like to pivot to having data science project be developed in the open from the beginning and with a decision making governance process that is inclusive and community-lead.

Contributors names are added alphabetically

A#

Achintya Rao#

Achintya is the Community Manager for the AI for Science and Government research programme at The Alan Turing Institute. He has a BSc in physics and an MA in science journalism. Prior to joining The Turing, he spent over a decade as a science communicator at CERN, the European Organization for Nuclear Research, in Geneva. He is also wrapping up a PhD in science communication from UWE Bristol.

  • Personal highlights:

It was a joy helping people who had never used GitHub before file their first issues and make their first pull requests. I also familiarised myself with the structure of the book and can hopefully help other members of the community make contributions to it in the future! It was a lot of fun co-working with so many wonderful people in a shared virtual space.

  • More information:

I love that the TTW repo is a place not just to contribute but also to learn, so I wasn’t afraid of making mistakes in commits and pull requests. It’s helpful that so many knowledgeable members of the community are there to help!

  • Personal Quote:

The Turing Way is an ideal place to gather collective knowledge from diverse experiences in data science and open research, and to learn by doing.

Aditi Dutta#

I am a PhD researcher in Politics at the University of Exeter (Q-Step Centre), working on the dynamics of online misogyny. I enjoy working collaboratively on different projects, such as the Turing Way handbook. My research interests include working on natural language processing, data science, political social science, gender politics, computational methods, and social data analysis. I love working in interdisciplinary fields and bringing out the best in all the fields involved. My profile on the university website: https://eprofile.exeter.ac.uk/aditidutta/

  • Personal highlights:

  • Meeting amazing people and connecting with them through the event! (This was my first Book Dash event. Can’t wait to join many more in the future!)

  • Creating a new chapter on β€˜Research Ethics for Social Data’ and adding more information in different sections of the book.

  • Working with Scriberia artist to get a drawing of the β€˜Research Ethics for Social Data’ chapter.

  • I can now call myself (kind of) proficient in using GitHub(?) (Just to let you know, there’s no substantive evidence to support my claim, so it’s just a self-reflection for now!)

Aida Mehonic#

  • Roles:

    • Project Member: Staff (2021-Present)

    • Book Dash Attendee 2021, 2022

  • GitHub id: AidaMehonic

  • Short bio:

I am a Senior Researcher in the Tools, Practices and Systems Programme and I am leading on Research Applications at The Alan Turing Institute. My focus is making sure that research outputs are not just openly available but that they meet stakeholder needs. I am leading a growing team of Research Application Managers (RAMs) whose goal is to increase the reach and maximise the positive impact of research outputs. The role of a RAM has been inspired by that of a product manager in a tech firm, but adapted for research purposes.

  • Personal highlights:

I get a lot of joy when I think about how far I have personally come in learning about and adopting open research practices over the past 1.5 years. The Turing Way community has been central to my education and general empoweremed in this area.

  • More information:

I’m passionate about making research outputs relevant for a wide range of communities.

Alejandro Coca#

  • Role:

    • Translation and Localisation Co-lead (2021-Present)

    • Book Dash Participant 2021, 2022

  • GitHub id: acocac

  • ORCID: 0000-0002-9264-1539

  • Short bio:

Alejandro completed his PhD in Physical Geography at King’s College London in September 2020. He is currently affiliated as a Postdoctoral Research Associate at the Alan Turing Institute working on a project aiming to build and deploy open-source toolkits and demonstrators for Environmental Data Science. He is also contributing to scivision, a generic framework for scalable image analysis led by the Turing in collaboration with the open-source community.

  • Personal highlights:

I’m so glad to join the Turing Way community. I’ve met a large and very active community contributing to a common goal, Open, Inclusive and Collaborative Science. My participation in the Book Dash 2021 was a fantastic experience to learn, discuss, collaborate and network with a wide variety of TTW contributors. My particular contribution during the 2021 book dash was to improve the documentation of translation within the Community Handbook. The documentation summarises learnings and experiences from the Spanish Translation team relevant to future translations.

  • More information:

Thanks to the TTW and the Open Life Science training programme, I’m considerably improving a prototype of online and community-driven e-book on Environmental Data Science, named the Environmental AI book.

  • Quotes:

There’s always hope!

Alexander Morley#

  • Role:

    • Core Contributor - Infrastructure Maintainer (2018 - 2019)

    • Previous Project Member

  • GitHub id: alexmorley

  • Short bio:

I am a Mozilla Fellow (2018-) and a PhD Candidate at the MRC Brain Network Dynamics Unit at the University of Oxford (2015-). I also receive support from the Software Sustainability Institute Fellowship programme (2018) and Microsoft/Research Software England Cloud Computing Fellowship programme (2018). My undergraduate degree was in Medicine at the University of Oxford (2012-2015).

  • Personal Highlight:

As a core contributros I want to share β€œWhy I care about the Turing Way?: When people don’t use best practices in data science its almost always because they either don’t know about them, or feel they don’t have time. Advocates will tell people that the time is saved in the long-term, but it’s a hard sell. By providing concrete, incremental, but authoritative, guidance I believe the Turing Way could provide the nudge that allows people to realise the benefits for themselves, and lowers the barrier for more researchers to acquire these highly valued skills.

  • More information:

I really want research to be accessible, but in a much broader sense than the word is often used. I would love to see a world where re-mixing research is a common thing, whether that be re-mixing figures to make them easier to understand, re-using data to generate new insights, or testing new methods to see how our theories might need to change. Slightly less on topic, but just as important, I am also passionate about the development and adoption of best-practices in governance. Safe and inclusive spaces are all too rare in academia, and I think some part of that can be solved by doing away with our laissez-faire attitude towards governance and management.

Aman Goel#

  • Role: Book Dash 2022 participant

  • GitHub ID: @amangoel185

  • ORCID: 0000-0003-3567-2096

  • Short bio:

I am a recent gradute in computer science and mathematics from the University of Delhi. I am an Open Life Science mentee and project leader where I am working on the project β€œThe Undergraduate’s Guide To Research Software Engineering”. I am deeply passionate about Open Science and Research Software, and am exploring their applications while being an open source contributor. I am also an active member of the HEP Software Foundation Training Group and am a certified Carpentries Instructor.

  • Personal highlights:

It was my first Book Dash and it was a wonderful experience. I especially loved the Community Share-out and the session with the Scriberia artist. I loved meeting so many new and interesting people and becoming a part of the community.

Andrea Sanchez Tapia#

Andrea (she/her) is a Colombian ecologist with a a background in Biodiversity Informatics and Plant Ecology. She was based for more than a decade in Rio de Janeiro, where she earned a MSc in Ecology and a PhD in Botany, working in vegetation ecology and nurturing a growing interest in learning and teaching about Open Science, Reproducibility in academic and non-academic communities. She has been saved countless times by R communities of practice and is a member of R-Ladies, a Certified Carpentries Instructor, and part of Forwards, the R Foundation taskforce for diversity, equity, and inclusion.

  • Personal highlights:

I joined forces with Batool and Alejandro to help rethink the workflows for deploying translated versions of The Turing Way and working with them was amazing! The task is a little bit daunting, but we are on the right way. I was thinking mostly about what to do with the Spanish translation branch (Spoiler: don’t rebase!) and checking the workflow and requirements when new language teams start to translate a new language in Crowdin, using Portuguese as an example. I loved the illustration session, the two thematic conversations I could join, the abundant note-taking.

Andreea Avramescu#

I am a PhD student at the Alliance Manchester Business School, the University of Manchester (supervised by Dr. Richard Allmendinger and Dr. Manuel López-IbÑñez) and an Engage@Turing/Enrichment Student at The Alan Turing Institute. My research interests lie in the fields of personalised medicine, optimisation and data science, and how all these can be used together to improve the availability and accessibility of targeted treatments worldwide. I have an MSc in Data Science and have previously worked on various research problems from within the fields of social sciences, law, computer science, and operations research.

  • Personal highlights:

Throughout the week I had the chance to improve a chapter on project design and review existing PRs. i also engaged in discussions with the team around the general challenges encountered in reproducible research and project design.

  • Quotes:

The 2021 May Book Dash was an exciting and inspiring opportunity. The events throughout the week were extremely well organised and the inclusive environment was very welcoming.

Ankur Kumar#

Ankur is a research associate at the department of genetics, University of Cambridge. He is trying to create shareable and reproducible software infrastructure for building the next generation of life sciences research platforms by leveraging advances in modern cloud technology. He is always happy to talk about the challenges and opportunities that these distributed systems present. Apart from computers, he is also interested in synthetic biology. One can often find him at related events and seminars around Cambridge.

  • Personal highlights:

I want to thank the organisers for allowing me to join the book dash. I also want to congratulate them for creating such a friendly community around the Turing Way project. I worked on a chapter with the working title of β€œReproducible analysis pipelines”. I had wonderful conversations about the topic with fellow participants and @KirstieJane . I also reached out to some of the leaders in the field. I’ll soon be interviewing them to add their experiences as case studies. All my interactions with the Turing Way community helped me to achieve a better understanding of the topic. I also feel more confident in writing and I am now thinking of starting my blog!

  • More Information

I’ll continue to keep working on the chapter and submit a PR as soon as possible. I am also thinking of improving some technical aspects of the book. I’ll hopefully get around doing these soon as well.

  • Quotes:

May the force be with β€œThe Turing Way”

Anna Krystalli#

I’m a Research Software Engineer at the University of Sheffield helping researchers do more with their code and data. I’m also an editor for rOpenSci, a community of users and developers, Creating technical infrastructure of peer-reviewed R software tools for working with scientific data sources on the web.

  • More information:

I care about reproducible research in R! I learnt to code during my PhD in Marine Macroecology and was instantly hooked. Building on past experience as a quality assurance auditor, my experiences made me interested in how we practice science and specifically how we can do more out of the real workhorses of modern research, our code and data. Working in The Turing Way is a fantastic opportunity to take stock of the great work that has already been done in this space, aggregate and distill it to templates, checklists and best practices guidelines that are immediately useful to researchers. It’s an opportunity to set standards and harness the power of convention, especially with ECRs that have an opportunity to set up good practices from the start! Indeed, I hope the Turing Way will very much become the β€œSheffield Way” too!

Anne Fouilloux#

  • Role: Book Dash 2022 participant

  • GitHub id: annefou

  • ORCID: 0000-0002-1784-2920

  • Short bio:

Anne is a Research Software Engineer. She is working in the field of Climate Science with the Earth System Modelling community. She is also developing training materials and teaching basic-to-advanced research computing skills to students, researchers, Research Software Engineers from all disciplines to advance FAIRness of Software management and development practices so that research groups can collaboratively develop, review, discuss, test, share and reuse their codes.

  • Personal highlights:

While working on adding a new chapter on Research Object with Alejandro Coca-Castro, I really enjoyed the discussions on where to place this new chapter in the book. Communication in an Open Science context is such an interesting topic!

  • Quotes:

There is so much to learn from The Turing Way handbook and Book Dashes’ particpants.

Anne Lee Steele#

  • Role:

    • Community Manager (2022-Present)

    • Book Dash Planning Committee 2022

    • Book Dash Participant 2022

  • Github id: aleesteele

  • ORCID: 0000-0002-9262-8641

  • Short bio:

Anne is the Community Manager for The Turing Way project, where she facilitates a collaborative resource for reproducible data science, and supports an open source community in developing practices for researchers and practitioners around the world.

She has worked on a variety of projects in the open ecosystem, including at the Internet Society, Wikimedia Deutschland, and Open Knowledge Foundation, and is passionate about the capacity for open source practices to make research more accessible, collaborative, and inclusive. Previously, she worked in the data journalism and education fields.

She holds a BA from Columbia University, and an MA from The Graduate Institute of International and Development Studies in Geneva, both in anthropology and sociology.

  • Personal highlights:

After coming to The Turing Way from other stars in the β€˜open universe’ (as I tend to call it), I’m keen to get to know the world of open scholarship & open science, and to learn how to support the community here. I’m particularly interested in helping to develop systems of inclusive governance, project sustainability, involving more perspectives from my own fields (of anthropology and sociology!), and tying the project more closely to other open communities who work on issues of ethics, diversity, and inclusion through data-driven practices.

Arielle Bennett#

  • Role:

    • Project Member: Staff (2021-Present)

    • Book Dash Planning Committee 2021

    • Book Dash Participant 2020

  • GitHub id: Arielle-Bennett

  • ORCID: 0000-0002-0154-2982

  • Short bio:

Arielle Bennett is the Programme Manager for Tools, Practices & Systems at the Alan Turing Institute. A biologist by training, she has worked in a number of different industries from science publishing to biotech start ups, as well as being an Open Life Science mentor for multiple cohorts and a 2019 Community Engagement Fellow with the Center for Scientific Collaboration & Community Engagement. Arielle advocates for the growing number of research infrastructure roles in academia as well as encouraging researchers to consider their roles as activists alongside ethical reflections, and writes about these topics for The Turing Way.

  • Personal highlights:

Before participating in the Turing Way, I didn’t know what a pull request was, nevermind how to make one! Now I have contributed to several different parts of the five guides, including co-writing the initial chapters on activism for researchers and given presentations on the topic at conferences. I also now mentor other community contributors on how to create pull requests, contribute to existing chapters, review others work, and draft new ideas. The May 2021 Book Dash was an amazing opportunity to engage with the community and get excited about the project all over again! I came away from it feeling enthused and proud of the contributions people made with my support - it will be brilliant to see how these evolve over the coming months into content and chapters. In the November 2021 Book Dash week we have merged a new chapter on research infrastructure roles - the people who do critical tasks to keep research going, open, reproducible, collaborative and reusable! It’s great to be able to promote the visibility of roles like mine to the wider community. I am also incredibly proud of all our first attendees who have done brilliant work this week revising old chapters and writing new ones. In May 2022 Book Dash, I’ve loved the spontaneous chats we’ve had about art, changing workplaces, leadership styles that break the mold & more. Always a highlight, when someone merges their first PR to the Guide!

  • More information:

The research infrastructure roles chapter in the Guide for Ehical Research is not finished! We are hoping that people will contribute overviews of more roles in this space, or share their career trajectory and background as case studies in the future.

  • Personal Quote:

It’s always a joy to work with The Turing Way participants, experienced and new, to create something amazing. The Book Dash is an incredible experience for both newer and established community members. It is joyful work to spend focused time on developing content for the Turing Way and supporting people from across the globe to contribute. I feel lucky to have been able to take part and take on a more prominent role as part of the organising committee.

B#

Batool Almarzouq#

  • Role:

    • Translation and Localisation Co-Lead (2021-Present)

    • Infrastructure Maintainer (2021-2022)

    • Book Dash Planning Committee 2021

    • Book Dash Participant 2021

  • ORCID: 0000-0002-3905-2751

  • Twitter: @batool664

  • Short bio:

Batool is a computational biologist affiliated with KAIMRC in Saudi Arabia and an honorary research fellow at the University of Liverpool. I’m also an RWeekly member and part of the R-Ladies Global committee. As an advocate for Open Science and its role in improving scientific and economic outputs in the Middle east, I recently established an Open Science Community in Saudi Arabia (OSCSA). OSCSA aims to create significant value towards Saudi Arabia’s Vision 2030, which focus on enhancing knowledge and improving equal access to education in the Kingdom.

  • Personal highlights:

In May 2021 Book Dash, I co-developed a chapter on β€œCI services”. In the previous Book Dash, I have helped upgrade the Jupyter Book Infrastructure and add hypothes.is to enable collaborative annotation of The Turing Way chapters. I have also translated the README.me chapter in Arabic. Although November 2021 Book Dash week was hectic (homeless twice while looking for a hotel in a foreign country) but looking back it was a fascinating week. I’m always grateful to be part of such a community - in the past week, I was inspired by everyone’s work and very thankful for the Book Dash Planning Committee who are always patient with me. I was also so lucky to work with the wonderful Andrea Sanchez Tapia and Alejandro Coca on a new workflow for the translation.

  • Quote:

Being part of The Turing Way community not only nourish my skills but miraculously treat my anxiety and depression. I always feel grateful for being here. Thank you so much to everyone I met in this Book Dash event :heart:.

Becki Green#

I am a PhD student at King’s College London (supervised by Dr Petroula Proitsi & Professor Marcus Richards) and Engage student at The Alan Turing Institute. My PhD project aims to identify early mechanisms and biological markers of dementia, and I am currently also working on the DECOVID project at the Institute.

  • Personal highlights:

Working alongside such wonderful people and learning so much! A truly enriching and rewarding experience - I look forward to contributing in future events. A further highlight was gaining experience in working collaboratively on a large project, including reviewing my first pull request!

  • Quotes:

A welcoming and enriching environment. Collaborating with others was really valuable and has provided me with tools to apply to my research and share with others.

Becky Arnold#

I’m an astrophysics PhD student at the University of Sheffield and I do computer simulations of star forming regions. I’m a 2018 Software Sustainability Institute fellow using the funds to organise talks and workshops about various issues surrounding good programming practise.

  • More information:

I am passionate about Science. All over the world humans come together to try and figure out how the universe works and that’s amazing, just as amazing as the answers themselves. I’m also passionate about how we actually do that science, making sure it’s accurate and reproducible. If it isn’t both of those things we haven’t moved forwards much, or worse still end up going in circles. I care deeply about changing the culture of academia, in which abuse of power (both minor and major) is all too common. I’ve met so many people that want to code well and follow best practise, which will benefit science enormously, but struggle to know how to do so. While there are lots of fantastic resources out there they’re often scattered and The Turing Way can improve that. I also hope that it can convince people that don’t consider themselves capable of being good programmers that there are steps they can take to drastically improve their coding.

Benjamin Mummery#

While studying Astrophyics, Benjamin was the first speaker at, and later organizer of, Liverpool PubHD (Facebook, Twitter) - a monthly cross-discipline event that challenged PhD students to β€œexplain their research in 10 minutes, while enjoying a pint.” During this time he also developed and delivered multiple more official outreach events including presenting to both the public and airforce commanders at RAF Cosford Airshow, and frequent activities for schools. Now a Research Software Engineer at the Hartree Centre, he has continued his engagement with outreach, most recently in collaboration with Tim Powell designing a LEGO version of the Centre’s iconic supercomputer Scafell Pike. He can frequently be found banging on about fictional time travel.

  • Personal highlights:

I collaborated with a group of researchers from The Alan Turing Institute to draft a chapter of scientific outreach.

C#

Camila Rangel Smith#

  • Role:

    • Translation and Localisation Co-Lead (Spanish) (2020 - Present)

    • Book Dash May 2019 Attendee

  • GitHub id: crangelsmith

  • ORCID id: 0000-0002-0227-836X

  • Short bio:

I am a Research Data Scientist at The Alan Turing Institute. I hold a PhD in Particle Physics from UniversitΓ© Paris Diderot where I worked on the ATLAS experiment at the Large Hadron Collider at CERN. During my PhD I participated on the discovery of the Higgs Boson particle announced by CERN in 2012. I continued working on ATLAS as a postdoc with Uppsala University where I focused on searches for physics beyond the Standard Model of Particle Physics. Right before joining the Turing, I worked as Data Scientist in the EdTech sector developing innovative products focused on the assessment process in education. Currently I’m working in collaboration with researchers from the Global Systems Institute at University of Exeter called Data science for Sustainable Development. In this project we are using remote sensing to monitor the resilience of patterned vegetation from semi-arid dryland ecosystems in the Sahel.

  • Personal highlights

I think The Turing Way is an excellent resource that can change the way science is done (I wish I had it when I started my PhD!). Although the international language of science is English, I know for a fact that not everyone in places like Latin-American have the time and resources to learn it, so I think we must do everything we can to break those barriers and improve the accessibility of knowledge for everyone. This is my motivation to translate the book to Spanish, and I hope that the Spanish version will be used as an important resource on the master course we are developing in LA-CoNGA physics project.

  • More information

I’m from Venezuela, and although I have done most of my career in Europe I’ve been always keen to stay connected to the academic and scientific wold back in Latin-America. I’m the co-founder of the CEVALE2VE project (http://www.cevale2ve.org/en/home/), which of a virtual learning community that aims to tackle the serious issue of brain-drain in some Latin-American countries by bringing back the knowledge in a digital/online platform. More recently that project has become consolidated into LA-CoNGA physics (http://laconga.redclara.net/), an EU Erasmus+ funded project with a mission to create a Latin American and European Community for Advanced Physics. In this project I’m helping to build a data science module that will be thought in an online master course.

E#

Elisa Rodenburg#

  • Role: Book Dash 2021 participant

  • GitHub id: @Elisa-on-GitHub

  • ORCID: 0000-0001-6068-9792

  • Short bio:

I’m a Research Data Steward in the University Library of Vrije Universiteit Amsterdam. I support researchers with questions about Research Data Management and Open Science, and I try to write some good guidance for them as part of this. With a team of IT colleagues, I’m also trying to build tools that support researchers with RDM. With @Karvovskaya and other colleagues I built two RDM- and Open Science-themed Escape Rooms, hoping that they teach the player something nice and let them have fun.

  • Personal highlights:

Working together with the Scriberia artist Adrien Liard; meeting more of the community; creating my first pull request and having it merged; start contributing to this wonderful project.

  • More information:

In my free time, I bake :cake: and swim :swimming_woman: (not always in that order)

  • Quotes:

The Turing Way is not only a guidebook, but also a lovely community of creative, talented and welcoming professionals. It was great to have the chance to join the Book Dash and contribute to the project. I hope to be back the next time!

Emma Karoune#

  • Role:

    • Project Member: Staff (2021-Present)

    • Book Dash Participant 2020-2022

    • Book Dash Planning Committee 2021-2022

  • GitHub id: EKaroune

  • ORCID: 0000-0002-6576-6053

  • Short bio:

I’m a Research Associate and Community Manager of DECOVID at The Alan Turing Institute. I’m also a post-doctoral researcher working in the field of Environmental Archaeology and Palaeoecology. I have a PhD in Palaeoecology from the Institute of Archaeology, University College London. I am leading a project to improve the FAIRness of phytolith data. I am also working on a project with Historic England concerning the development of novel methodologies in phytolith research for application to British Archaeological remains.

  • Personal highlights:

I have really enjoyed working in such a collaborative way during the Book Dash. I have had interesting discussions concerning the accessibility of The Turing way, collaboration, communication and research in general with other contributors. I have further developed my Github skills by working in collaboration with @paulowoicho, @malvikasharan and @KirstieJane to develop a chapter on β€˜Getting started on Github’. This improvement in my skills will really benefit my own personal research to develop my own collaborative working groups and teach others how to use these research tools. At the May 2021 Book Dash, I enjoyed mentoring new contributors contributions, reviewing pull requests and helping to run sessions during the Book Dash. It was great to work collaboratively to improve and publish a new chapter on β€˜Communicating with wider audiences’ in the Guide for Communication. I’ve been the lead author and organiser of the academic authorship chapter. At the November 2021 Book Dash, I have been hosting sessions and helping to review pull requests #2160, #1919 and #2167. I’ve also worked with @MariaEriksson to plan and start writing an overview about sensitive data.

  • More information:

I try to work as openly as possible and a large part of my current research is developing easy and accessible to all collaborative and open ways of working. I am also working hard to bring together specialists in my field into a working group for Open Science so that we can work collaboratively towards subject-specific FAIR guidelines for phytolith data.

  • Quotes:

Such a great week! Supportive collaborative environment to produce some really quality contributions to this wonderful project.

Eric Daub#

  • GitHub id: edaub

  • Short bio:

Eric is a data scientist and geophysics researcher, has appeared on several television programs and podcasts to discuss his research on earthquake occurrence in the Central United States. One challenge for presenting earthquake research is the tendency to overhype results on the topic of earthquake prediction. Eric used these media appearances to highlight the difficulties inherent in predicting earthquakes, and explain why no reliable method exists to predict earthquakes accurately enough for societal actions to take place. From that discussion about overhyped results, he transitioned to explaining how his research showed that the chances of an earthquake had not changed due to recent changes in activity, as the fluctuations were exactly in line with what would be expected for a simple baseline level of risk. This outreach activity helped improve the understanding of the target audience on a complex, technical subject and debunk some of the commonly held assumptions about earthquake prediction and risk management.

  • Personal highlights:

I collaborated with a group of researchers from The Alan Turing Institute to draft a chapter of scientific outreach.

H#

Hannah Nicholls#

I am a PhD student contributing to The Turing Way to develop writing about reproducible research practices. I have a BSc in biomedical science and a background in wet-lab cardiovascular research. My PhD is in applying machine learning to prioritise most likely causal disease genes from genome-wide association studies.

  • Personal highlights:

Collaborating with others to build something new as a contribution to The Turing Way, and collaborating with others to review and support their work. Understanding the inner workings of The Turing Way via navigating within its GitHub. Also getting to help and watch a really cool illustration being made!

  • Quotes:

Taking part in the Turing Way Book Dash was one of the first times I’ve done collaborative working over an extended period of time and it was such a great experience! It allowed me to try out new skills and really build confidence in what I was doing, I feel really encouraged to continue contributing to The Turing Way!

Heidi Seibold#

I lead a group on Open AI in Health at the Helmholtz Zentrum Munich. I develop machine learning methods to figure out which patients react well to certain treatments and implements these methods in R. My passion for open and reproducible research has led me to join the Turing Way community. I am involved in meta-research projects (research about research), I support, teach and contribute to open projects such as The Turing Way. My work for the Journal of Statistical Software includes reproducibility checks. We only publish papers which are fully computationally reproducible. I also work on making our machine-learning software more user-friendly, reusable and extensible. Together with a PhD student I am thinking about how to use data from hospitals to help doctors and patients find the right treatment for each individual patient.

  • Personal highlights:

I work in data science and open and reproducible research are the things I think and care about the most. So to me it only made sense to get involved. Plus: the community seemed amazing! To me The Turing Way is a role model when it comes to collaborative, distributed work. I learned so much just by participating in the book sprint and seeing how Malvika, Kirstie and everyone else contributed to providing an extremely welcoming and at the same time productive space. I took what I learned and tried to apply it in other contexts such as teaching. I will continue to do so. The Turing Way also inspired me to think about new ways we could teach people about open and reproducible (data) science. I am currently thinking a lot about how we could use the content from The Turing Way and turn it into a course. This idea was also part of an application, where I proposed to start a new group on Open AI. Specifically, I have co-authored these chapters: Research Compendia, File Naming Convention, and reviewed many contributions. I regularly recommend The Turing Way as a resource. Both for learning more about reproducible data science and also when discussing specific topics. I think that people are taking it on and reading it :)

  • More information:

First, I would like to continue to help create content, review others content and be helpful in any way I can. Sometimes I like to look at really old issues and pull requests for example. Reviving such old, often almost finished bits, is very rewarding. Apart from that I also have a bigger, long term idea for The Turing Way. I personally am not a huge fan of reading. So books are not my favorite way to learn. In the past years I learned a lot by listening to others in talks, podcasts, videos, and of course conversations. So for me it is only a natural next step for The Turing Way to become more than a book. It could be an ecosystem, with the book at its basis. And – if we decide to go that route – I would like to be a part of it.

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Iman Al Hasani#

  • Role:

    • Book Dash 2022 participant

  • GitHub id: Imanalhasani

  • ORCID: 0000-0001-9998-772X

  • Short bio:

Iman Al Hasani is interested in the computational applied statistics. She is particularly interested in computational statistics including statistics in digital marketing, statistical modeling, statistical machine learning, simulation, data mining and data visualization. She was the main supervisor 3 projects: β€’ Opinion Mining and Sentiment Analysis for Arabic Tweets about Unemployment Issue in Oman. β€’ A comparison of Term weighting schemes with application to Thesis classification. β€’ Propensity Score Modelling for Marketing Campaigns

  • Personal highlights:

I am impressed with the Turing Way project and its collaborative principle. I enjoyed working with Arabic translation team using Crowdin and creating mini Arabic version of the Turing Way book. My special thanks to the super-talented lady Batool. I’m so glad I’ve got to know her. Through her, I knew Rstats communities, open-sciences communities and amazing, talented and innovative people; So Grateful!

  • More information:

Grateful working with some science/tech/Rstats communities.

  • Quotes:

The Turing Way Project and Thinking illustration with Scriberia are AMAZING. Very thankful had a chance this year to attend the Book Dash!

Irene K#

  • Role: Book Dash Participant 2020

  • GitHub id: irenekp

  • Short bio:

I’m an undergraduate student majoring in Information Science and Engineering. While short, my journey with Data Science and Data Management has been varied and I’ve loved watching how a single concept can mould into so many different disciplines! I have been able to work with data science as an RA for a couple of projects that focused on different aspects of Social Network Analysis. I’ve also been able to follow data management and related practices during my internships at a fintech and a telecom company.

  • Personal highlights:

Turing Way was my first foray into Open Source, and I have found it extremely helpful in learning both about general github and open source practices as well as being part of a moving and collaborative community. I especially loved being part of an extremely multidisciplinary group of people, really shows me the real span of Data Science! The ethics book has been a great source of interest for me as it encompasses many of the issues I both grappled with, debated and deliberated upon extensively during my own data science projects. During my time working on the Data Anonymization Chapter (Issue: #1578 , Pull Request: #1579 ) I managed to read more extensively about anonymization and I found answers to many of the questions that had previously bothered me. I really hope that the work we’ve done here to consolidate all these ethical guidelines will help make practicing data science with a strong ethical basis and clear moral conscience more easy and accessible.

  • More information:

In line with my contributions so far, I am extremely passionate about working on an ethical framework for Data Science, seeing as a lot of it focuses on exposing patterns that could easily be invasive, I really think an ethical approach to it is the only way to keep practicing it sustainably in the long term. Science Communication is an other one of my key areas of interest, I’ve been combining it with my love for sustainable practices (be it data science or water resource management) so far to research upon and write articles that I hope would inform and educate more people! I hope to add Data Visualization to this combination soon! I intend to keep working at the cross roads of Data Science and Sci-Comm for the foreseeable future!

Ismael Kherroubi Garcia#

Former Ethics Research Assistant at the Alan Turing Institute. I have a BSc in Business Management and Administration and have studied philosophy of the social sciences at the Lonson School of Economics & Political Science.. I am also an associate member of the Chartered Institute of Personnel and Development (CIPD).

  • Personal highlights:

Since my undergraduate degree, I have worked in sales in fintech, HR in arts charities, and in research. I think my highlight is that I’ve got a great background as a very adaptable generalist! I really enjoyed working alongside Laura Carter and Sophia Batchelor to build a community around the Guide for Ethical Research. Personal quote: β€œResearch Ethics is complex, and two related concepts are Responsible Research and Innovation (RRI) and Research Integrity. Depending on whether we wear an RRI hat or research integrity goggles, we will encounter different research ethics questions. But it is important to wear the two at all times. I call this Steampunk Research Ethics.”

  • More information:

I am really fascinated by philosophical discussions about the social sciences, so I love the thought of questioning what an open science culture looks like and how to get there! You might find me putting some of my learnings to work in an online book on the history of research ethics.

J#

Jennifer Ding#

  • Role:

    • Book Dash 2022 participant

    • Project Member: Staff (2022-Present)

  • GitHub id: dingaaling

  • ORCID: 0000-0002-8266-4358

  • Short bio:

Jennifer is a Research Application Manager in the AI for Science and Government programme at the Alan Turing Institute, where she focuses on Digital Twins projects in Data-Centric Engineering and Urban Analytics. She is also a data scientist, with experience conducting R&D and creating applied AI products at startups such as Thresher and Numina, which acquired her first startup ParkIT. Her research interests lie in AI ethics and privacy by design, and she has a personal interest in small data projects and data visualisation.

  • Personal highlights:

Working collaboratively with Book Dashers and artists from different countries! Contributing to a translation update was particularly cool, as this will make the Turing Way available to even more people around the world.

Jessica Scheick#

  • Role:

    • Core Contributor (2021-Present)

    • Book Dash Participant 2021

  • GitHub id: @JessicaS11

  • ORCID: 0000-0002-3421-4459

  • Short bio:

Jessica is a glaciologist, open*(science, software, source) enthusiast, remote sensor, and lifelong lover of snow, winter, and the outdoors. She is currently a Research Assistant Professor at the University of New Hampshire (US), where she works on glaciological research, research-enabling open-source software projects, and climate justice and diversity, equity, and inclusion initiatives. She is the lead developer and maintainer for the icepyx library and regularly helps run Hackweeks with the University of Washington’s eScience Institute.

  • Personal highlights:

I was thrilled when I first discovered The Turing Way and delighted to have the opportunity to contribute during the Nov 2021 Book Dash after attending Collaboration Cafes for about a year. I ended up working on a few different projects with multiple collaborators, but I think the highlight of the whole experience was brainstorming a visualization and then watching the Scriberia artist bring our idea to life!

Johanna Bayer#

Johanna is a PhD candidate in computational neuroscience at the University of Melbourne, Australia and also and undergrad student in computer science at the University of Hagen, Germany. Johanna’s PhD projects focus on the identification of neuroimaging biomarkers for depression in large structural neuroimaging data using a machine learning brain charting method. She also works on developing additional methods to make those analyses more reproducible by compensating for biases caused by hard- and software differences in neuroimaging scanners. Johanna is also secretary of the open science group of the Organisation for Human Brain Mapping and she has helped organising brain-related hackathons in Australia and Asia

  • Personal highlights:

working collaboratively via zoom, the discovery of the cocoo clock (already introduced to my lab), meeting people from all over the worlds and learning about their lives and what brought them to the Turing Way.

  • More information:

Loves cats & coffee

  • Quotes:

It was totally worth staying up late!

JosΓ© MarΓ­a FernΓ‘ndez#

  • Role: Book Dash Participant 2020 (BioHackathon-EU)

  • GitHub id: @jmfernandez

  • ORCID: 0000-0002-4806-5140.

  • Short bio:

I’m a senior research engineer from INB coordination unit, BSC, ELIXIR Spain. With an MSc in Computer Science, I have been working in bioinformatics since 1999, involved in very disparate projects along these years. Currently, I’m very involved in technical and scientific benchmarking, reproducibility and workflow execution abstractions, among other topics.

  • Personal highlights:

I have really enjoyed meeting so warming and the dynamic community around The Turing Way! I have mostly contributed to reviewing open Pull requests and networking with the community members.

Julien Colomb#

Former neuro-geneticist (10 year of research on fruit fly memory and behavior), I have been more recently interested in data analysis and management, as a specialisation for my interests in open science (open research). I am presently working on ways (technical and social) to implement the principles of FAIR and open data in the lab workflow and ways to foster collaboration between researchers via the SmartFigure Gallery project.

  • Personal highlights:

structure of the book and its RDM part, debugging figure views, content: version control for datasets + git for the whole research project data.

K#

Kim De Ruyck#

Since 2016, I am managing the Belgian ELIXIR Node (we pursue FAIRification of research data and facilitating reproducible analysis, through activities in data management and analysis as well as training; we also focus on domain specific services in plant sciences, human health and proteomics). I was trained as a Bioscience engineer, have a PhD in Medical Sciences and performed medical genetics research for many years.

  • Personal highlights:

I started familiarizing myself with the GitHub environment and learned how to collaborate through it. It was especially nice to meet the vibrant community working together on the Turing Way! Specifically, I have authored a subchapter on Research Data Management Toolkit.

L#

Laura Acion#

I am a Biostatistician who transitioned to Data Science. I work at the University of Buenos Aires (Argentina). I specialize in several areas of Health Sciences. I am passionate about changing the way applied stats is taught and practiced. I have so much to learn and do; it seems I will need extra lives to accomplish all. More about me here.

  • Personal highlights:

I am currently co-developing a chapter on β€œLeadership in Data Science” and supporting Spanish community in translating and getting involved in the project. I hope this is my first of several Book Dashes! It was an outstanding experience. Thank you so much, Malvika and Kirstie, for brilliantly organizing and coordinating this event! ✨ πŸ’–

Laura Carter#

I’m a PhD candidate in the Human Rights Centre at the University of Essex, UK, researching the human rights implications of the use of data-driven technologies in the UK public sector, focusing on gender stereotyping and gender discrimination. Prior to my PhD, I worked as a human rights researcher for almost a decade, specialising mostly in human rights, sexual orientation and gender identity. I carried out field research in Europe and sub-Saharan Africa covering topics including homophobic and transphobic hate crimes, criminalisation of homosexuality and of sex work, legal gender recognition for trans people, and health rights for intersex people.

  • Personal highlights:

I’m really enjoying learning more about Open Science practices and communities! I’m excited to be part of an OLS-2 mentee cohort alongside Ismael Kherroubi Garcia and Sophia Batchelor, working on the Guide to Ethical Research: if you’re interested in building a community of thoughtful, reflective, ethical data scientists, please come and join us!

  • More information:

I’m interested in feminist and queer research methodologies and in interrogating structures of power and systems of categorisation. Throughout my career, most of my work has been on understanding these systems, how they work, and how they harm: so that they can be dismantled! More information about me on my website.

  • Personal Quote:

β€œI’m not from a tech field but I’ve learned so much about github as a tool for collaborative working: thanks so much for everyone who was part of the November 2020 book dash for all your useful advice!”

Lena Karvovskaya#

  • Role:

    • Project Member: Volunteer (2021-Present)

    • Book Dash Participant 2021

    • Book Dash Planning Committee Member 2022

  • GitHub id: karvovskaya

  • Twitter: @LangData

  • ORCID: 0000-0001-7777-5603

  • Short bio:

Lena Karvovskaya is the Community Manager for Research Data Management and Open Science at the Vrije Universiteit Amsterdam (VU Amsterdam). She works with support staff and researchers to facilitate the organizational change towards reproducible and transparent research culture.

  • Personal highlights:

I’ve been excited about the Turing Way for a long time. I am so happy and grateful that I could take part in the book dash. The wonderful team made me feel that every second of my time there was very well spent. With some help, I managed to do with my first proper pull request! Yay! I loved our interactions, our pomodoro sprints, the sharing of personal stuff. A special highlight was an opportunity to work with an artist to visualize my ideas. I feel proud that I contributed to this amazing project.

  • More information:

I will be carrying on working on the Peer Review chapter and hope to collaborate with @vhellon @EstherPlomp and other participants

Liz Hare#

  • Role: BookDash November 2022 participant

  • GitHub ID: @LizHareDogs

  • ORCID: 0000-0002-3978-2543

  • Short bio:

I work on genetics and general statistical analysis for working dog programs and do most of my work in R. As a blind person I’ve become interested in R and open science, working to ensure inclusivity on many levels but particularly accessibility for scientists with disabilities.

  • Personal Highlights:

I’m a first-timer so it was a great chance to get a more intensive introduction to how the Turing Way Project works. Terrific, collaborative discussions on how to make the book, the process of making and maintaining the book, and open science in general, more inclusive. Also planning a Guide to Accessibility – scoping out and outlining what it would cover.

Louise Bowler#

I’m a Research Data Scientist in the Alan Turing Institute’s Research Engineering Group. I have a degree in Physics from Imperial College London, after which I joined the Life Sciences Interface Doctoral Training Centre at the University of Oxford. I worked on an interdisciplinary PhD project that combined mathematical modelling, cardiac electrophysiology and safety pharmacology, and moved over to the Turing afterwards. Since then, I’ve worked on a range of projects spanning synthetic data, data visualisation, and of course, the Turing Way!

  • Personal highlights:

I got involved with The Turing Way via case studies of reproducibility in academic projects - essentially, I was a reproducibility detective during the initial phase of the project! :female_detective: The Turing Way was my first experience of working with collaborators from so many different institutions, and the community around this project has been a real highlight for me. My official time on the Turing Way has come to an end, but I still enjoy keeping in touch through the Book Dashes and other events.

  • More information:

As scientists, we share our work via papers and talks, but the intricacies of precisely how we implement an analysis pipeline or novel algorithm can be very difficult to convey in those formats. We’re currently seeing changes in the default way we want to publish our papers through the open access movement, and I’d love to see a similar change in mindset happen about the data that we collect and the code that we develop so that others can reproduce, learn from and build upon our work. I want to ensure that the route to sharing these types of research output is open to everyone, regardless of their level of programming experience - the route might not always be straightforward, but it’s a great opportunity to share and learn from our experiences! So many research projects now contain computational elements, yet it is easy to forget that not everyone has access to training in software engineering, or has a group of colleagues with such interests. If we say that we want people to make their research open and reproducible, we need to give them the tools they need to be confident in doing so. I see the Turing Way as the means of bridging that gap, by providing a friendly, practical and helpful guide for researchers at all stages of their careers.

M#

Mahwish Mohammad#

  • Role: Book Dash Participant 2022

  • GitHub id: Rainiefantasy

  • Short bio:

I am a Data Wrangler based at The Alan Turing Institute.

  • Personal highlights:

It’s been a wonderful experience contributing to The Turing Way while meeting inspiring people from diverse backgrounds along the way. I really enjoyed the opportunity to work closely with my colleague Rachael Stickland to reflect and encapsulate our image of a β€˜Data Wrangler’ in our own Data Wranglers Overview sub-chapter. These Book Dashes are a great way to encourage open collaboration, sharing ideas and working on helpful tools to make things such as open-science and reproducibility more practical and friendlier for the wider community.

Malvika Sharan#

  • Role:

    • Co-Lead Investigator (2021-Present)

    • Previous Community Manager (2019 - 2021)

    • Book Dash Participant 2019-2022

  • GitHub id: malvikasharan

  • ORCID: 0000-0001-6619-7369

  • Short bio:

I am the community manager of The Turing Way at The Alan Turing Institute. I work with the community of diverse members to develop resources and ways that can make data science accessible for a wider audience. After receiving my Ph.D. in Bioinformatics and I worked at European Molecular Biology Laboratory, Germany, that helped me solidify my values as an Open Researcher and community builder. I co-founded the Open Life Science mentoring program in 2019 to help enhance access to Open Leadership tools for individuals interested in building communities around their work. I am also a fellow of the Software Sustainability Institute and a board member of the Open Bioinformatics Foundation.

  • Personal highlights:

As a community manager, I appreciate the opportunities for facilitating the work our contributors carry out in this community space while learning new skills and ideas from them. Through my talks, panel sessions, and workshops, I like to interact with members across different research domains, who I otherwise will never get a chance to meet. Besides connecting with members from diverse perspectives, my highlights in The Turing Way are co-developing community governance, acknowledgment pathways, and community resources in the Community Handbook for our members. I enjoy designing training resources around leadership in research in collaboration with Open Life Science.

Margaret Wanjiku#

Margaret graduated with an MSc in bioinformatics in July 2021. She is a project lead at the Bioinformatics Hub of Kenya Initiative (BHKi), a training and networking platform for aspiring and established bioinformaticians. Its goal is to empower researchers with skills and tools in open science and bioinformatics. In addition to capacity development, she is also interested in genomics and big data analysis. Margaret dabbles in writing stories too!

  • Personal highlights:

This was my first time contributing to TTW! I enjoyed listening to and reading what fellow participants were working on as I made my contribution. I learnt more about GitHub and research data management as I conducted my research.

  • More information:

I look forward to making more contributions to TTW soon, including but not limited to updating the documentation and metadata subsection.

  • Quotes:

Creativity is intelligence having fun!

MarΓ­a Nanton#

I’m a Data Analyst with a social communications background experienced in data analysis, reporting, and dashboarding in marketing, social and health data. I’m currently a Data Analyst at the Health Information and Statistics Office, part of the Ministry of Health of the Buenos Aires City Government. I’m also a TA at the University of Buenos Aires, a RLadies Buenos Aires organizer, and a social data analytics and data visualization instructor at EANT.

  • Personal highlights:

It was great to work on chapter 3 of the Guide of Communications and also managing to solve some Issues and review simple PRs related to other chapters along the way.

  • Quotes:

This was my first Book Dash and I can’t imagine a better environment to do some serious, challenging, and fun collaborative work. I’m immensely grateful to everyone I encountered this week, and I can’t wait to share the tools I’ve learned with fellow coworkers and members of data and research communities in Argentina.

Mariana Vivas#

  • Role: Book Dash Participant 2021

  • GitHub id: marianaiv

  • Short bio:

I’m an undergrad physics student at the Central University of Venezuela. Working on my thesis and trying to do it reproducible.

  • Personal highlights:

Working on the introductory chapter for the Project Design Guide was incredible. I really enjoyed collaborating with Malvika in writing it. I’m also very happy to had an illustration made specifically for the chapter.

  • Quotes:

This Book Dash was my first time doing collaborative work. I really enjoyed meeting everyone - such a welcoming environment, I really appreciate it! I enjoyed collaborating with a chapter for The Turing Way, couldn’t be happier!

Marta Mangiarulo#

I am a teaching fellow/Research Assistant in the School of Psychology at the University of Leicester. Before moving to the UK, I earned a MSc in Social Psychology and a PhD in Cognitive and Brain Sciences. I am interested in reasoning, judgment, and decision making topics and passionate about scientific communication and outreach.

  • Personal highlights:

In the November 2020 book dash, I used GitHub for the first time! I helped fix some small bugs (grammar and syntax, typos, formatting) and, I proposed two chapters on data visualisation and on study pre-registration. I started familiarising myself with the GitHub environment and learned how to collaborate through it to provide valuable contributions to the project. My work during these 5 days has mostly been individual, but I would really love to collaborate with others to work on the two chapters I suggested! In the May 2021 book dash, I was very happy to start where I had left off in the previous bookdash. I believe I made small but relevant contributions and I have a clear idea of where I would like to go next which is much more than what I was hoping for! In the November 2021 Book Dash (my third one!), I was invited to lead a discussion on data visualisation, which sparked a very interesting conversation. I also started a dedicated section in the book and I am looking forward to developing it! On November 25th, I will talk about my experience with The Turing way during one of the Leicester ReproducibiliTEA meetings!

  • More information:

I am passionate about science communication and research dissemination and interested in replicability, open science issues, and the interface between cognitive and social aspects in social psychology topics like intergroup relations and impression formation. At the moment I am particularly fascinated by data visualisation and infographics.

  • Quote:

I loved taking part in the bookdash, it is such a rewarding experience above and beyond its material outputs.

Martin O’Reilly#

I’m Principal Research Software Engineer and Deputy Head of the Research Engineering Group at the Alan Turing Institute. My focus is on using good software engineering practices to increase the impact of research software by making it reusable, reliable and robust I also have a strong interest in reproducible research, and am working to improve the tools and working practices at the Turing to make it easier for our researchers to work reproducibly I’ve moved back and forth between industry and academia over the years, gaining an MSc in Artificial Intelligence and a PhD in Computational Neuroscience along the way.

  • More information:

I feel strongly that researchers have a responsibility to ensure that the outcomes of their research are made available to all - researchers, practitioners and the public. These outcomes should be made available in a way that allows others not just to reproduce them, but also to re-use and build upon them. An awful lot of researcher and practitioner time is spent getting to the point they can usefully evaluate whether some research is of use to them, or in re-discovering unpublished negative results. This seems extremely wasteful and I’m convinced we can and should do better. In particular, I feel a lot can be done to improve the effective re-use of data produced by research projects. While there has been significant progress in recent years in the amount of data published alongside research articles, there is still a wide gulf between open data and re-usable data. In terms of research areas, I’m fascinated by the brain and especially the approach of understanding the brain by β€œfaking it” (i.e. modelling and simulation). I’m particularly interested in robots as a way of embodying these models in the real world. I believe the Turing Way can impact positively in both these areas. By providing recommended working practices and guidance on associated tooling, we can make it easy for researchers to do the right thing. By publishing this with the weight of the Turing brand, we can apply social pressure for the adoption of these practices as new norms in the research communities we operate in.

Martina G. Vilas#

  • Role:

    • Core Contributor (2020 - 2021)

    • JupyterBook Infrastructure Maintainer (2020)

    • OLS-2 for Turing mentor

    • Book Dash Participant/Mentor 2020

  • GitHub id: martinagvilas

  • ORCID: 0000-0002-1097-8534

  • Short bio:

I’m currently finishing my PhD in Neuroscience at the Max-Planck-Institute AE in Frankfurt, Germany. I study how the brain processes conceptual knowledge analyzing neural recordings with computational modelling techniques. As an advocate of open-research, I also work on improving the reproducibility of neuroscientific-analyses and enjoy contributing to open-source software projects.

  • Personal highlights:

Since the Book Dash in February 2020, I help with the maintenance of The Turing Way infrastructure and its reliance on Jupyter Book. The Turing Way is not only a great guide for conducting reproducible research, but it also provides a wonderful entry point into open-source contribution in general and connects you to a variety of open data-science communities. I’m also a mentor at the OLS-2 program and I have also worked with the pandas core-contributors in providing guidance to people from underrepresented groups in technology on making their first open-source contribution. I have co-led and developed the tutorial on Creating a Jupyter Book with The Turing Way (Github repo). During the Book Dash (November 2020), I worked with @BatoolMM on the upgrade of the Jupyter Book that allows for annotation (PR #1516). I facilitated mentored contributions (in spanish as well πŸ‡¦πŸ‡· πŸ‡§πŸ‡΄ ) I also gave a talk about The Turing Way and computational reproducibility at the Brainhack Donostia 2020 (slides here)

  • More information:

More information about me can be read on my website.

N#

Nina Di Cara#

  • Role: Book Dash Participant/Helper 2020

  • GitHub id: ninadicara

  • ORCID: 0000-0002-6179-1067

  • Short bio:

I am a PhD student at the University of Bristol, working on data science for mental health using social media data. I also have a masters degree in family social work, and was trained as a social worker before starting my PhD. I co-organise the Data Ethics Club, and am really interested in how we can understand the way we approach data analysis as a function of our lived experiences and positionality.

  • Personal highlights:

I started to design and draft a new chapter about self-reflection for data scientists, and was really excited to meet lots of fascinating and kind people who are also working on the Guide for Ethical Research!

  • Quotes:

Being part of the Book Dash has been a great reminder of how team-based science can be such a joyful and fun experience! An especially well-timed reminder after spending a year working from my flat!

P#

Patricia Herterich#

Patricia Herterich is an information professional working on research data issues. She is a Software Sustainability Fellow 2019, Open Life Science mentor, and member of the Hidden REF committee. She holds a MA in Library and Information Science from Humboldt University of Berlin, Germany (2013) and has over ten years of experience in research data management working at CERN’s Scientific Information Service and Higher Education institutions in the UK.

  • Personal highlights:

Reminding myself of my technical skills and how I love proper GitHub workflows. Thank you for trusting me with the facilitation of a discussion session on leadership and the wonderful input from everyone. It was great coming back and contributing to the Turing Way.

  • More information:

I crochet during meetings as it helps me to stay focused. Probably too much into vegan cake and pastries for my own good. Love dance-based exercise.

Paul Owoicho#

I am a Technical Writer / Google Season of Docs (GSoD) Participant working to make The Turing Way consistent, sustainable, and accessible. I have a BSc in Software Engineering from the American University of Nigeria. Thereafter, I worked as a Research Analyst in the Fintech & Innovation Division of Guaranty Trust Bank, Nigeria and helped to drive the Bank’s push to become a platform by creating innovative digital products. I completed a Master’s in Data Science from the University of Glasgow and starting my PhD in January 2021 studying conversational information-seeking systems. I spent two years as a Research Analyst at Guaranty Trust Bank in Lagos, Nigeria helping to build innovative digital products to meet the Bank’s customer objectives.

  • Personal highlights:

The Turing Way is my first foray into open source and has been a fantastic learning experience. Not only have I gained a deeper understanding and appreciation for how GitHub works, but I am also learning to prioritise sustainability and empowerment in the work that I do. Although The Turing Way is my first open source project, I thoroughly enjoyed the experience and learned a lot along the way. Before the GSoD program, I only used Github to β€˜store’ my projects. Now, I am much more proficient at using Github for collaborative endeavours and I am more adept at working with tools such as Markdown, Jupyter Book, and Sphinx. In addition, I gained familiarity with setting up and working with web analytics software. You can see the full report from GSoD participation here. The BookDash November 2020 was great! It was awesome to meet, collaborate, and share ideas with people from around the world. Beyond the Book Dash, The Turing Way is the very first open-source project I have ever worked on. The experience has been fantastic, and I intend to stick around as a contributor after the Google Season of Docs program ends. I also see myself getting involved in other open-source projects.

  • Personal Quote:

Asides technical skills, I developed a deep appreciation for what working on an open source project entails. My mentors helped me realise that the value I left behind from the GSoD program was not in the amount of work I did, but how I enabled other contributors to also do the work I was doing. As a result, I learned to contribute as a Technical Writer in a manner that was reproducible, sustainable, accessible, and inclusive.

R#

Rosie Higman#

I am a Research Data Librarian at the University of Manchester, co-leading the research data management support service. My focus is on data sharing, training and encouraging researchers to engage in Open Research. My background is in the social sciences and I have recently started a PhD with the British Library and the University of Sheffield looking at Open Access and the role of the National Library.

  • More information:

I am passionate about Supporting researchers! Making it as easy as possible for researchers to make their research reproducible and open, and for this to be easier than undertaking research in a closed manner. I try to help researchers make small improvements in making their research open, on the basis that some progress is better than none! Working in research data management I’m naturally concerned that data is not taken seriously as an independent research output and the reward system in academia is so heavily geared towards β€˜high impact’ journal articles. As someone from a non-STEM background I’m also interested in how we can make reproducible research as accessible as possible. This will be the first project where I’ve worked directly in GitHub and I’m excited to get more confident in using it! I spend much of my time talking to researchers about the overarching principles of why reproducible and open research is a good idea and am excited by the idea of giving people practical guidance on how to do this. Messy code is frequently cited in these discussions as a reason for not sharing code so if we could produce something which helps people get past this barrier would be great. I hope that the Turing Way will be something we can also use at the University of Manchester and other Turing universities around the country!

Rachael Ainsworth#

I am the Research Software Community Manager at the Software Sustainability Institute. Previously, I worked as a Research Associate and Open Science Champion at the Jodrell Bank Centre for Astrophysics at the University of Manchester. My research involved observing jets from young stars with next-generation radio telescopes to investigate the physical processes that assemble stars like our Sun, and am currently working to make data from the radio telescope facilities at Jodrell Bank more accessible to all. I am also a FOSTER certified Open Science Trainer, Mozilla Open Leader, and Organiser for the women in data meetup group HER+Data MCR.

  • Personal highlights:

I have promoted The Turing Way through many presentations, notably at the Open Science Fair 2019 where I presented a poster and delivered 3 demonstrations of the project to attendees, one of which was recorded as part of the ORION Open Science Podcast. Through The Turing Way project I have gained valuable skills in open project management and met truly inspiring individuals working hard to promote openness and reproducibility in research.

  • More information:

I am passionate about promoting openness, transparency, reproducibility, wellbeing and inclusion in STEM and facilitating cross-stakeholder conversations in order to change research culture for the better. I also love space exploration. The Turing Way goal of ensuring that reproducible data science is β€œtoo easy not to do” really resonates with me. I find that it can be difficult to get researchers to engage with reproducibility and sharing their research outputs because they perceive that it will take too much time and effort with very little reward - when the opposite is true! Ensuring results are reproducible not only benefits research as a whole and increases efficiency, but working this way also offers researchers more opportunities for impact and collaboration.

Rachael Stickland#

I am a Data Wrangler based at The Alan Turing Institute. See my profile here for more information.

  • Personal highlights:

Joining the Nov 2022 BookDash was a real pleasure - I met lots of great people with brilliant ideas, and I enjoyed learning more about The Turing Way. I am new to this community but felt welcomed and included. Working with the Scriberia artist on visualising the β€˜Data Wrangler’ job role was a really interesting and useful experience, and it encouraged our wider team, based at The Alan Turing Institute, to reflect on our roles as Data Wranglers and how to explain this role to others. My contribution to the book was working with my colleague Mahwish Mohammad on adding a sub-chapter β€˜Data Wranglers’ to the Research Infrastructure Roles section, and starting (or joining) discussions with others in this community about Research Infrastructure Roles in general. I hope more collaborations will come out of these discussions, specifically content added to the book which compares and contrasts different Research Infrastructure Roles, and reflects on how to decide which role(s) would be needed for a specific research project.

Reshama Shaikh#

Reshama Shaikh is the Executive Director of Data Umbrella. She is also on the Triage Team for scikit-learn and an organizer for NYC PyLadies. Reshama is a statistician/data scientist with skills in Python, R and SAS. She earned her M.S. in statistics from Rutgers University. She earned her M.B.A. from NYU Stern School of Business where she studied strategy, business analytics and technology management.

  • Personal highlights:

Reshama participated in The Turing Way Book Dash and collaborated to discuss plans and draft for a chapter on research impact in data science, with a case study from training events that she organises through Data Umbrella.

S#

Samuel Guay#

I’m a PhD student in Cognitive Neuroscience at the University of Montreal, Canada, researching the effects of repetitive head impacts inactive and retired athletes with a neuroimaging perspective. In parallel, I’ve started the Open Science UMontreal initiative to equip early-career scientists with better knowledge and tools to implement more open science in their workflow. The OSUM community members are really awesome :rocket:. Specifically, I have been working to set a process to translate The Turing Way in French. I contributed to adding hypothes.is to The Turing Way.

  • Personal highlight:

The whole November 2020 Book Dash was my highlight. I got to know a welcoming community and amazing humans throughout the week. It was amazing to witness so much progress in that tiny amount of time.

Sarah Gibson#

  • Role:

    • Project Member: Volunteer (2021-Present)

    • Previous Project Member: Staff (2010-2021)

    • OLS for Turing mentor

    • Book Dash Participant/Mentor 2020

  • GitHub id: sgibson91

  • ORCID: 0000-0003-0356-2765

  • Short bio:

Sarah Gibson is an Open Source Infrastructure Engineer at 2i2c, an open source contributor and advocate. She holds more than two years of experience as a Research Engineer at a national institute for data science and artificial intelligence, as well as holding a core contributor role in the open source projects Binder, JupyterHub, and the Turing Way. She is a member of the mybinder.org operating team and maintains infrastructure supporting a global community in sharing reproducible computational environments.

  • Personal highlights:

Being invited to join the mybinder.org operating team after working with them through The Turing Way and helping people get up-and-running on mybinder.org through From Zero to Binder workshops.

  • More information:

Sarah is passionate about working with domain experts to leverage cloud computing in order to accelerate cutting-edge, data-intensive research and disseminating the results in an open, reproducible and reusable manner. She also holds a Fellowship with the Software Sustainability Institute and advocates for best software practices in research.

Saranjeet Kaur Bhogal#

Saranjeet Kaur Bhogal is a Statistician based in India. She is interested to learn about open source and open science and likes to remain involved with open science community work. In early 2021, she wrote the first draft of the R Development Guide through a project funded by the R Foundation. Furthermore, she co-lead the work on the outreach of the R Development Guide at the Digital Infrastructure Incubator at Code for Science & Society. Recently, she is working as a Technical Writer with The R Project at the Google Season of Docs 2022 for a project to β€œExpand and Reorganize the R Development Guide”. Previously, she has also worked with the Julia Language organization for Google Summer of Code 2020. In early 2022, she was selected as the founding committee of NumFOCUS Project Incubator. She co-founded the Research Software Engineering (RSE) Asia Association during my participation in the Cohort 4 of the Open Life Science programme, to promote the RSE community and profession in the Asia region. She is also participating in the Pilot Mentorship Programme of the Society of Research Software Engineering to further build the RSE Asia community.

  • Personal highlights:

Sharing the RSE Asia formation story through an open interview & collaborating with Adrien Liard (Scriberia artist)!

  • More information:

I like creating zines & cartoons!

Shern Tee#

I am working as a postdoctoral researcher in Brisbane focused on molecular dynamics software and methodology. As a research software engineer (RSE) I want academia and institutions to recognize the invaluable work we do and support us better!

  • Personal highlights:

Upgrading the TTW chapter on RSEs, and getting to know a whole new group of wonderful people!

Sophia Batchelor#

I am a PhD student at the University of Leeds studying sensorimotor learning with the Center for Immersive Technologies. My research focuses on understanding how how our brains interprets, and responds to both our physical reality, and a constructed reality (AR/VR). I do this through a deep love of the brain and emerging technologies. We will soon be existing in the future that we are creating now; so when we build with a β€œpeople first” (or a brain first) philosophy, we end up building a space that allows people to flourish.

  • Personal highlights:

MY FIRST CONTRIBUTION TO THE TURING WAY! It’s an absolute honor to join The Turing Way community as we look towards an open, ethical, and accessible future. After having such a mixed STEM and non-STEM background, I’m thrilled to have joined this community as it grows and guides my thinking about how and what it means to do research.

  • More information:

I’m a fierce advocate for ethical and open research, and those beliefs tend to carry into everything I do. I previously worked on Brain Computer Interfaces after finishing my undergrad at UC Berkeley where I saw the incredible work that can be done through collaborative, crossdisciplinary science. I’m now part of Open Life Science’s second cohort learning how to implement the teachings of The Turing Way because when good science and good practice meets, great things can happen.

T#

Tim Powell#

Tim is an Astrophysicist turned Research Software Engineer, who has always had a passion for sharing science. From attending public lectures and getting involved as an attendee at outreach events based around Cambridge as a teenager to building a miniature supercomputer, Tim has a long history of outreach activities. Whilst at university Tim became a STEM Ambassador with the Physics Society, where he used the tools provided to introduce groups of children to scientific concepts. Tim also participated in 4 British Science Weeks showcasing many different aspects of Physics and Remote Sensing. When Tim joined STFC’s Hartree Centre he built a miniature supercomputer, called HPiC. HPiC is the Hartree Centre’s Raspberry Pi Cluster. It was created to demonstrate supercomputing techniques and show some of the expertise of the Hartree Centre. HPiC has been showcased at numerous technical conferences and public outreach events not just across the UK but also internationally. As well as presenting technical posters and talks at various conferences Tim also enjoys taking his experience of outreach and presenting what he has learnt and how that is applicable to teaching. Tim presented at the ISC 2019 HPC Education and Training for Emerging Technologies Workshop and was on SIGHPC Best Practices for HPC Training and Education Panel at Supercomputing 2019. One of Tim’s proudest projects was collaborating with Benjamin Mummery on a LEGO version of the Hartree Centre’s iconic supercomputer Scafell Pike!

  • Personal highlights:

I collaborated with a group of researchers from The Alan Turing Institute to draft a chapter of scientific outreach.

Timothy Sum Hon Mun#

Former software engineer at a startup and former actuary at an insurance company. My research interests are on the intersection of AI with different areas such as healthcare and finance as well as to improve their reliability and interoperability when being deployed. I am also more recently interested in open science, open source collaboration, and reproducible research. My current research work involves the application of deep-learning to develop novel predictive biomarkers of tumour response using real-world imaging data of soft-tissue sarcomas. My research is funded as part of the international Sarcoma Accelerator, funded by Cancer Research UK, which will collect one of the largest repositories of multi-center sarcoma datasets.

  • Personal highlights:

Working together with the translation team (Batool, Iman, Alejandro), having interesting discussions with other participants of the Book Dash on different topics, contribute to the automation of the TW release workflow, meeting Batool again!

  • Quotes:

Memorable experience with the Turing Way and Scriberia!! Great to have a chance to attend the Book Dash and collaborate with so many talented individuals.

V#

Vicky Hellon#

  • Role:

    • Project Member: Staff (2021-Present)

    • Book Dash Participant 2021

  • GitHub id: vhellon

  • Twitter: @vickyhellon

  • Short bio:

Vicky Hellon is the Community Manager at the Alan Turing Institute for the Turing-Roche Partnership. She will be working closely with both organisations to build an engaged and sustainable community around the partnership, with a focus on supporting researchers to embrace and embed Open Science practices. She has a BSc in Biomedical Science from the University of Sheffield and previously had roles in Open Access publishing. She is passionate about supporting forward-thinking changes to the academic publishing system and engaging with researchers from a range of backgrounds.

  • Personal highlights:

This was a great introduction to the Turing Way and the community. I loved seeing how collaborative everyone was and also the scale of what everyone managed to produce during the dash! I feel proud that I managed to do my first proper pull request to make a tangible contribution and navigated myself round Github to review others work too.

  • More information:

I will be carrying on working on the Open Access chapter and hope to collaborate with others such as @EKaroune @Karvovskaya to potentially expand a β€˜publishing’ chapter/section

  • Quotes:

If you want to do β€˜community’ then you can’t get a better example than the Turing Way

W#

Winny Nekesa#

  • Role: Book Dash 2022 participant

  • GitHub id: @WinnyNekesa

  • Short bio:

I am the Head, Library and Documentation Centre at the Public Procurement and Disposal of Public Assets Authority where I oversee the provision of Library, Registry and other Knowledge Management Systems, ensuring that the information storage and retrieval needs of PPDA staff and stakeholders are met. I hold a Masters degree in Information, Postgraduate diploma in Demography and Statistics and Bachelors degree in Library and Information Science from Makerere University, Kampala-Uganda. I am currently the Africa Regional Secretary of the International Association for Social Science Information Service and Technology (IASSIST) and member of the carpentries community.

*** Personal highlights:**

It was such a great opportunity to participate in the 2022 BookDash. It was also a great o fantastic and exciting experience for me to further my understanding of GitHub, and participate and contribute my first chapter of data curation in the Research Data Management book. <With more practice and contribution I will become proficient with GitHub and I hope to adopt it for my institution for collaborative purposes.
<I enjoyed working with fellow participants and the amazing Turing Team to successful have my first chapter. <The 2022 Book Dash was such a fantastic amazing experience and look forward to continue contributing.

  • Quotes:

Being part of this year’s Book Dash has not only made me appreciate using GitHub and how Turing Way is contributing to data science, it has provided me with necessary skills to use GitHub, which I didn’t have at all. < I have learnt how to contribute using GitHub. < I hope more colleagues from Africa can also have an opportunity to participate and contribute in these project.

All Contributors#

✨Using all-contributors specification, The Turing Way recognises all contributors, not just the ones who push code. ✨

Contributors#

Thanks goes to these wonderful people (emoji key):

Aakash Raj
Aakash Raj
🌍		 Aasiyah Rashan
Aasiyah Rashan
πŸ€” πŸ–‹		 Abel Siqueira
Abel Siqueira
πŸ‘€		 Achintya Rao
Achintya Rao
πŸ› πŸ‘€		 Adina Wagner
Adina Wagner
πŸ–‹		 Aditi Dutta
Aditi Dutta
πŸ› πŸ–‹ πŸ€”		 Aditi Shenvi
Aditi Shenvi
πŸ€”
Afzal Ansari
Afzal Ansari
πŸ›		 Ago3
Ago3
πŸ€”		 Ahmed Essam
Ahmed Essam
πŸ›		 Aida Mehonic
Aida Mehonic
πŸ€”		 Albert Hornos Vidal
Albert Hornos Vidal
πŸ‘€ πŸ›		 Alden Conner
Alden Conner
πŸ› πŸ”§		 Alejandro Β©
Alejandro Β©
πŸ–‹ πŸ€” 🚧 πŸ“– πŸ‘€
Aleksandra Zaforemska
Aleksandra Zaforemska
πŸ€” πŸ–‹		 Alex Bird
Alex Bird
βœ… πŸ‘€		 Alex Chan
Alex Chan
πŸ€”		 Alex Clarke
Alex Clarke
πŸ“–		 Alexander Morley
Alexander Morley
πŸ’¬ πŸ‘€ πŸ€” ⚠️ πŸš‡ 🚧		 Ali Seyhun Saral
Ali Seyhun Saral
πŸ“–		 Ali Seyhun Saral
Ali Seyhun Saral
πŸ‘€
Ambreen Masud
Ambreen Masud
πŸ€” πŸ–‹		 Andrea PierrΓ©
Andrea PierrΓ©
πŸ›		 Andrea SΓ‘nchez-Tapia (she/her)
Andrea SΓ‘nchez-Tapia (she/her)
πŸ–‹ πŸ€” πŸ› ️️️️♿️		 Andreea Avramescu
Andreea Avramescu
πŸ–‹		 Andrei Alexandru
Andrei Alexandru
πŸ› πŸ‘€		 Andrei Leonard Nicusan
Andrei Leonard Nicusan
πŸ–‹		 Andrew Stewart
Andrew Stewart
βœ…
Andrian Nobella
Andrian Nobella
🌍		 AngelikaKerlin
AngelikaKerlin
πŸ›		 Angelo Varlotta
Angelo Varlotta
🌍		 Aniketh Varma
Aniketh Varma
πŸ›		 AnkitaGarg95
AnkitaGarg95
πŸ–‹		 Ann-Marie Mallon
Ann-Marie Mallon
πŸ€”		 Anna Hadjitofi
Anna Hadjitofi
πŸ–‹ 🌍 βœ…
Anna Krystalli
Anna Krystalli
πŸ’¬ πŸ’‘ πŸ‘€ πŸ€” βœ…		 Anna Zanchetta
Anna Zanchetta
🌍		 Annabel Elizabeth Whipp
Annabel Elizabeth Whipp
πŸ€”		 Anne Fouilloux
Anne Fouilloux
πŸ€” πŸ–‹		 Anne Lee Steele
Anne Lee Steele
πŸ‘€ πŸ› πŸ“‹		 Aras Selvi
Aras Selvi
πŸ–‹		 Arduin
Arduin
πŸ€” πŸ–‹
Arielle-Bennett
Arielle-Bennett
πŸ€” πŸ‘€ πŸ–‹		 Arron Lacey
Arron Lacey
πŸ‘€		 Aryan nath
Aryan nath
πŸ›		 Asma Kacem
Asma Kacem
πŸ›		 Augustinas Sukys
Augustinas Sukys
πŸ€”		 Barbara Vreede
Barbara Vreede
πŸ–‹		 Batool
Batool
πŸ€” πŸ–‹ 🌍 πŸš‡ πŸ‘€ 🚧 πŸ“–
Becki Green
Becki Green
πŸ€” πŸ–‹		 Becky Arnold
Becky Arnold
πŸ’¬ πŸ’» πŸ“– πŸ€” πŸ‘€		 Benjamin Mummery
Benjamin Mummery
πŸ€” πŸ–‹		 Beth Montague-Hellen
Beth Montague-Hellen
πŸ“–		 Bouwe Andela
Bouwe Andela
πŸ–‹ πŸ‘€		 Brandon Lee
Brandon Lee
πŸ›		 Brian O'Neil
Brian O'Neil
πŸ›
Brigitta SipΕ‘cz
Brigitta SipΕ‘cz
πŸ–‹		 Bruno Camino
Bruno Camino
πŸ–‹		 Callum Mole
Callum Mole
πŸ€” πŸš‡ 🚧		 Cameron Trotter
Cameron Trotter
πŸ€”		 Camila Rangel Smith
Camila Rangel Smith
πŸ“– 🌍 🚧		 Cari Hyde-Vaamonde
Cari Hyde-Vaamonde
πŸ€” πŸ–‹ πŸ›		 Carlos Martinez
Carlos Martinez
πŸ› πŸ‘€ πŸ–‹
Carlos Vladimiro GonzΓ‘lez Zelaya
Carlos Vladimiro GonzΓ‘lez Zelaya
πŸ€”		 CarlosMFerr
CarlosMFerr
πŸ–‹		 Cassandra Gould van Praag
Cassandra Gould van Praag
πŸ€” πŸ“– πŸ‘€		 Cem Ulus
Cem Ulus
🌍		 Chad Gilbert
Chad Gilbert
πŸ›		 Chandler Klein
Chandler Klein
πŸ›		 Chanuki Illushka Seresinhe
Chanuki Illushka Seresinhe
πŸ“–
Charlotte Watson
Charlotte Watson
πŸ€”		 Chris Hartgerink
Chris Hartgerink
πŸ“‹		 Chris Holdgraf
Chris Holdgraf
πŸ’¬ πŸ€”		 Chris Markiewicz
Chris Markiewicz
πŸ€”		 Chris Tomlinson
Chris Tomlinson
πŸ€”		 Christina Hitrova
Christina Hitrova
πŸ€”		 Christopher Lovell
Christopher Lovell
πŸš‡
Clare Liggins
Clare Liggins
πŸ“–		 ClauFischer
ClauFischer
πŸ‘€		 ClaudiaCAU
ClaudiaCAU
πŸ›		 Colin Sauze
Colin Sauze
πŸ€” πŸ–‹		 Collin Schwantes
Collin Schwantes
πŸ›		 DACNC
DACNC
πŸ€” πŸ–‹		 DDelbarre
DDelbarre
πŸ€”
DaisyParry
DaisyParry
πŸ–‹		 Dan Brady
Dan Brady
πŸ›		 Dan Hobley
Dan Hobley
πŸ“–		 Dan Kerchner
Dan Kerchner
πŸ›		 Danbee Kim
Danbee Kim
πŸ“–		 Daniel Lintott
Daniel Lintott
πŸ›		 Daniel Mietchen
Daniel Mietchen
πŸ›
Daniel NΓΌst
Daniel NΓΌst
πŸ–‹		 Danny Garside
Danny Garside
πŸ› πŸ–‹ πŸ‘€		 Danping
Danping
πŸ›		 David Foster
David Foster
πŸ‘€ πŸ›		 David Gregg
David Gregg
πŸ€” πŸ–‹		 David Stansby
David Stansby
πŸ–‹		 DerienFe
DerienFe
πŸ€”
Diego Alonso Alvarez
Diego Alonso Alvarez
πŸ€” πŸ‘€		 Dimitra Blana
Dimitra Blana
πŸ‘€ πŸ–‹		 Dinesh kumar
Dinesh kumar
πŸ›		 Dorien Huijser
Dorien Huijser
πŸ–‹		 Dr Owain Kenway
Dr Owain Kenway
πŸ–‹		 Ed Chalstrey
Ed Chalstrey
πŸ–‹ πŸ‘€		 Edwin Ajong
Edwin Ajong
πŸ›
Eirini Malliaraki
Eirini Malliaraki
πŸ“–		 Eirini Zormpa
Eirini Zormpa
πŸ› πŸ‘€ πŸ€” πŸ“‹		 Elisa Rauseo
Elisa Rauseo
πŸ–‹		 Elisa-on-GitHub
Elisa-on-GitHub
πŸ› πŸ€” πŸ–‹		 Elizabeth DuPre
Elizabeth DuPre
πŸš‡ πŸ’¬ πŸ‘€		 Em K
Em K
πŸ–‹ πŸ› πŸ“ πŸ‘€ πŸ“’		 Enrico Glerean
Enrico Glerean
πŸ›
Eric Daub
Eric Daub
πŸ“–		 Eric Leung
Eric Leung
πŸ›		 Eric R Scott
Eric R Scott
πŸ›		 Esther Plomp
Esther Plomp
πŸ› πŸ€” πŸ–‹ πŸ‘€ πŸ“’ πŸ“ 🌍 πŸ“‹		 Evelina Gabasova
Evelina Gabasova
πŸ› πŸ–‹		 Faruk D.
Faruk D.
πŸ–‹		 Federico Nanni
Federico Nanni
πŸ› πŸ–‹ πŸ‘€
Ferran Gonzalez Hernandez
Ferran Gonzalez Hernandez
πŸ€”		 Flavio Petruzzellis
Flavio Petruzzellis
πŸ›		 Florian Gilcher
Florian Gilcher
πŸ›		 Frances Cooper
Frances Cooper
πŸ–‹ πŸ€”		 Frances Madden
Frances Madden
πŸ–‹		 Froguin99
Froguin99
πŸ€” πŸ–‹		 FrozenLines
FrozenLines
πŸ›
Fuad Reza Pahlevi
Fuad Reza Pahlevi
🌍		 GabinWK
GabinWK
πŸ‘€		 Georgia
Georgia
πŸ€”		 Georgia Atkinson
Georgia Atkinson
πŸ€”		 Georgia Tomova
Georgia Tomova
πŸ€”		 Georgiana Elena
Georgiana Elena
πŸ‘€		 Gertjan van den Burg
Gertjan van den Burg
πŸ“– πŸ€” πŸ’¬
Gianni Scolaro
Gianni Scolaro
πŸ›		 Giulia Crocioni
Giulia Crocioni
🌍 πŸ‘€		 Goodnews Sandy
Goodnews Sandy
πŸ› πŸ–‹ πŸ‘€		 Graham Lee
Graham Lee
πŸ› πŸ‘€		 Greg Caporaso
Greg Caporaso
πŸ›		 Greg Kiar
Greg Kiar
πŸ“– πŸ‘€		 Guillaume Flandin
Guillaume Flandin
πŸ–‹
Gustavo Becelli do Nacimento
Gustavo Becelli do Nacimento
🌍		 Hao Ye
Hao Ye
πŸ‘€		 Heidi Seibold
Heidi Seibold
πŸ€” πŸ–‹		 Hieu Hoang
Hieu Hoang
πŸ€”		 Iain
Iain
πŸ‘€		 Ian Hinder
Ian Hinder
πŸ“–		 Ikko Ashimine
Ikko Ashimine
πŸ›
IsabelBirds
IsabelBirds
πŸ€”		 Isil Bilgin
Isil Bilgin
πŸ›		 Ismael-KG
Ismael-KG
πŸ–‹ πŸ‘€ πŸ“ πŸ€”		 JKasmire
JKasmire
πŸ›		 Jack Breen
Jack Breen
πŸ€” πŸ–‹		 Jade Pickering
Jade Pickering
πŸ“– πŸ›		 JadeHotchkiss
JadeHotchkiss
πŸ›
James Kent
James Kent
πŸ›		 James Myatt
James Myatt
πŸ“–		 James Robinson
James Robinson
πŸ€” πŸ’»		 James Thomas
James Thomas
πŸ›		 Jamie J Quinn
Jamie J Quinn
πŸ–‹		 Jannetta Steyn
Jannetta Steyn
πŸ›		 Jason Gates
Jason Gates
πŸ“– πŸ‘€
Javier Moldon
Javier Moldon
πŸ“–		 Jay Dev Jha
Jay Dev Jha
πŸ›		 Jennifer Ding
Jennifer Ding
πŸ› 🌍 πŸ‘€		 Jeremy Crampton
Jeremy Crampton
πŸ›		 Jeremy Leipzig
Jeremy Leipzig
πŸ›		 Jessica
Jessica
πŸ–‹		 Jessy Provencher
Jessy Provencher
🌍
Jez Cope
Jez Cope
πŸ“–		 Jill Wang
Jill Wang
πŸ›		 Jim Circadian
Jim Circadian
πŸ–‹ πŸ€”		 Jim Madge
Jim Madge
πŸ–‹ πŸ“– πŸ‘€		 Joanna Leng
Joanna Leng
πŸ–‹ πŸ€”		 Joe Early
Joe Early
πŸ€”		 Joe Fennell
Joe Fennell
πŸ“–
Johanna Bayer
Johanna Bayer
πŸ‘€ πŸ–‹		 Jose Urra
Jose Urra
πŸ€”		 Joshua Teves
Joshua Teves
πŸ€”		 JosΓ© MarΓ­a FernΓ‘ndez
JosΓ© MarΓ­a FernΓ‘ndez
πŸ‘€		 Julia Guiomar Niso GalΓ‘n
Julia Guiomar Niso GalΓ‘n
🌍 πŸ‘€		 Julien Colomb
Julien Colomb
πŸ–‹ πŸ‘€		 K-C-Martin
K-C-Martin
πŸ‘€
KarolineLeiberg
KarolineLeiberg
πŸ€”		 Katherine Dixey
Katherine Dixey
πŸ€”		 Katriona Goldmann
Katriona Goldmann
πŸ–‹		 Kelly Barnes
Kelly Barnes
πŸ›		 Kelly-dot
Kelly-dot
πŸ€”		 Kesson Magid
Kesson Magid
πŸ€”		 Kevin Kunzmann
Kevin Kunzmann
πŸ“– πŸ€” πŸ›
Kim De Ruyck
Kim De Ruyck
πŸ›		 Kim De Ruyck
Kim De Ruyck
πŸ–‹		 Kirstie Whitaker
Kirstie Whitaker
πŸ’¬ πŸ“– 🎨 πŸ“‹ πŸ” πŸ€” πŸ‘€ πŸ“’		 Kristijan Armeni
Kristijan Armeni
πŸ›		 Krunal Rank
Krunal Rank
πŸ›		 Lachlan Mason
Lachlan Mason
πŸ€” πŸ“– πŸ’»		 Laura Acion
Laura Acion
️️️️♿️ 🌍 πŸ–‹
Laura Carter
Laura Carter
πŸ‘€ πŸ› πŸ€” πŸ–‹		 Laura Mugeha
Laura Mugeha
πŸ›		 Lenka
Lenka
πŸ“ πŸ–‹		 Liberty Hamilton
Liberty Hamilton
πŸ›		 Lion-admin
Lion-admin
πŸ›		 LizHareDogs
LizHareDogs
πŸ€”		 Louise Bowler
Louise Bowler
πŸ’¬ πŸ’» πŸ“– πŸ’‘ πŸ€” πŸ“‹ πŸ‘€
Lovkush
Lovkush
πŸ›		 Luca Bertinetto
Luca Bertinetto
🌍		 Luigi Scalzone
Luigi Scalzone
🌍		 Luis Santos
Luis Santos
πŸ€” πŸ‘€		 Luisa Orozco
Luisa Orozco
πŸ–‹		 Luke Conibear
Luke Conibear
πŸ›		 Luna
Luna
🌍
Lupe CaMay
Lupe CaMay
πŸ‘€		 MLeston2022
MLeston2022
πŸ€” πŸ–‹		 Mahwish M
Mahwish M
πŸ–‹ πŸ€”		 Malvika Sharan
Malvika Sharan
πŸ“– πŸ“‹ πŸ€” πŸ“† πŸ‘€ πŸ“’ 🚧 πŸ“Ή		 Marcos Ellys Rocha Honorato
Marcos Ellys Rocha Honorato
🌍 πŸ‘€		 Maria Eriksson
Maria Eriksson
πŸ› πŸ–‹		 Maria del Mar Quiroga
Maria del Mar Quiroga
πŸ–‹ πŸ›
Mariam-ke
Mariam-ke
πŸ›		 Mariana V.
Mariana V.
πŸ› πŸ–‹		 Mariona
Mariona
πŸ–‹		 Mark Woodbridge
Mark Woodbridge
πŸ€” πŸ–‹		 Markus LΓΆning
Markus LΓΆning
πŸ‘€ πŸ–‹		 Marta-MM
Marta-MM
πŸ› πŸ–‹ πŸ‘€		 Martin Jean
Martin Jean
πŸ›
Martin O'Reilly
Martin O'Reilly
πŸ’¬ πŸ”§ πŸ€”		 Martina G. Vilas
Martina G. Vilas
πŸš‡ ⚠️ πŸ“’ πŸ“Ή βœ…		 Mateus Harrington
Mateus Harrington
πŸ›		 Mateusz Kuzak
Mateusz Kuzak
πŸ› πŸ“‹ πŸ€” πŸ‘€ πŸ–‹		 Matthew Evans
Matthew Evans
πŸ›		 Max Joseph
Max Joseph
πŸ‘€		 Mayya Sundukova
Mayya Sundukova
πŸ“‹
Melissa Black
Melissa Black
πŸ‘€ πŸ–‹		 Michael Grayling
Michael Grayling
πŸ“–		 Miguel Rivera
Miguel Rivera
πŸ›		 Muhammad Radifar
Muhammad Radifar
πŸ‘€		 Mukilan
Mukilan
πŸ€”		 Mustafa Anil Tuncel
Mustafa Anil Tuncel
πŸ›		 Nadia Soliman
Nadia Soliman
πŸ“–
Naomi Penfold
Naomi Penfold
πŸ‘€ πŸ€”		 Natacha Chenevoy
Natacha Chenevoy
πŸ€”		 Natalie Thurlby
Natalie Thurlby
πŸ’» ⚠️		 Nathan Begbie
Nathan Begbie
πŸ› πŸ€”		 Neha Moopen
Neha Moopen
πŸ‘€ πŸ–‹		 Neil Chue Hong
Neil Chue Hong
πŸ€”		 Nick Barlow
Nick Barlow
πŸ› πŸ–‹
Nico
Nico
πŸ€”		 NicolΓ‘s Alessandroni
NicolΓ‘s Alessandroni
πŸ€”		 Nina
Nina
πŸ‘€		 Nomi Harris
Nomi Harris
πŸ‘€		 NotActuallyACat
NotActuallyACat
πŸ€”		 Obi Thompson Sargoni
Obi Thompson Sargoni
πŸ€”		 Oleg Lavrovsky
Oleg Lavrovsky
πŸ–‹
Oliver Clark
Oliver Clark
πŸ“–		 Oliver Forrest
Oliver Forrest
πŸ“– πŸ€” πŸ–‹ πŸ‘€		 Oliver Hamelijnck
Oliver Hamelijnck
πŸ€”		 Oliver Strickson
Oliver Strickson
πŸ’¬ πŸ“– βœ…		 Oscar Corcho
Oscar Corcho
πŸ–‹ πŸ‘€		 Oscar Giles
Oscar Giles
πŸ“–		 Pablo RodrΓ­guez-SΓ‘nchez
Pablo RodrΓ­guez-SΓ‘nchez
πŸ–‹
Patricia Herterich
Patricia Herterich
πŸ’¬ πŸ“– πŸ‘€ πŸ€” πŸ–‹ πŸ“‹		 Patrick Bos
Patrick Bos
πŸ‘€		 Patrick Mineault
Patrick Mineault
πŸ›		 Paul Dominick Baniqued
Paul Dominick Baniqued
πŸ€”		 Paul Owoicho
Paul Owoicho
πŸ€” πŸ‘€ πŸ› πŸ“–		 Paul Watson
Paul Watson
πŸ€”		 Paula Andrea Martinez
Paula Andrea Martinez
πŸ€” πŸ‘€
Pedro Pinto da Silva
Pedro Pinto da Silva
πŸ€”		 PeterC-ATI
PeterC-ATI
πŸ€”		 Philip Darke
Philip Darke
πŸ€”		 Philip Durbin
Philip Durbin
πŸ–‹		 Phillip Crout
Phillip Crout
πŸ›		 Phome95
Phome95
πŸ€” πŸ–‹		 Pierre Grimaud
Pierre Grimaud
πŸ›
Pooja Gadige
Pooja Gadige
πŸ“– πŸ‘€		 Pradeep Eranti
Pradeep Eranti
πŸ›		 Pranav Mahajan
Pranav Mahajan
πŸ–‹		 Priyanshu Agarwal
Priyanshu Agarwal
πŸ›		 Przemek Dolata
Przemek Dolata
🌍		 Rabea Müller
Rabea MΓΌller
πŸ›		 Rachael Ainsworth
Rachael Ainsworth
πŸ“– πŸ“‹ πŸ€” πŸ’¬ πŸ‘€ πŸ“’
Rachael Stickland
Rachael Stickland
πŸ–‹ πŸ€” πŸ‘€		 Radka Jersakova
Radka Jersakova
πŸ› πŸ–‹		 Radovan Bast
Radovan Bast
πŸ‘€		 Rafaela Queiroz
Rafaela Queiroz
🌍		 Rahul Thakare
Rahul Thakare
🌍		 Raniere Silva
Raniere Silva
πŸ–‹ πŸ›		 Raul Palma
Raul Palma
πŸ€” πŸ–‹
Reina Camacho Toro
Reina Camacho Toro
🌍		 Reinder Radersma
Reinder Radersma
πŸ›		 Remi Gau
Remi Gau
πŸ› πŸ–‹		 Reshama Shaikh
Reshama Shaikh
πŸ› πŸ–‹		 Richard Gilham
Richard Gilham
πŸ“– πŸ€”		 Richard James Acton
Richard James Acton
πŸ€” πŸ–‹		 Richard Plant
Richard Plant
πŸ–‹
Richie
Richie
πŸ€” πŸ–‹		 Risa Ueno
Risa Ueno
πŸ€”		 Robert Precious
Robert Precious
️️️️♿️		 Robin Long
Robin Long
πŸ“–		 Rohit Midha
Rohit Midha
πŸ“–		 Romero Silva
Romero Silva
🌍		 Rose Sisk
Rose Sisk
πŸ€”
Rosie Higman
Rosie Higman
πŸ’¬ πŸ“‹ πŸ‘€ πŸ€”		 Rosti Readioff
Rosti Readioff
πŸ“–		 SYU-NING
SYU-NING
πŸ€”		 Samuel Guay
Samuel Guay
🌍		 Samuel Nastase
Samuel Nastase
πŸ›		 Sander
Sander
πŸ›		 Sangram K Sahu
Sangram K Sahu
πŸ€”
Sara King
Sara King
πŸ›		 Sara Villa
Sara Villa
πŸ–‹		 Sarah Gibson
Sarah Gibson
πŸ’¬ πŸ’» πŸ“– πŸ”§ πŸ‘€ πŸ“’ πŸ€” βœ… πŸ“Ή		 Sarah Jones
Sarah Jones
πŸ–‹		 Sarah Miller
Sarah Miller
πŸ€” πŸ–‹		 Sarah Stewart
Sarah Stewart
πŸ“– πŸ€”		 Sarah Young
Sarah Young
πŸ›
SarahAlidoost
SarahAlidoost
πŸ–‹		 Saranjeet Kaur
Saranjeet Kaur
πŸ€” πŸ–‹		 Sean Hughes
Sean Hughes
πŸ‘€		 Sebastian Spier
Sebastian Spier
πŸ›		 Sedar Olmez
Sedar Olmez
πŸ€”		 Sergi
Sergi
🌍 πŸ‘€		 Shankho Boron Ghosh
Shankho Boron Ghosh
πŸ›
Sharana Shivanand
Sharana Shivanand
πŸ›		 Shashank
Shashank
πŸ›		 Shern Tee
Shern Tee
πŸ–‹		 Shreya Dimri
Shreya Dimri
πŸ‘€ πŸ–‹		 Sian Bladon
Sian Bladon
πŸ€”		 SianC
SianC
πŸ›		 Siba Smarak Panigrahi
Siba Smarak Panigrahi
πŸ›
Simon Christ
Simon Christ
πŸ› πŸ€” πŸ–‹		 Simon Duerr
Simon Duerr
πŸ› πŸ‘€		 Siphiwe
Siphiwe
πŸ› πŸ‘€		 Solon
Solon
πŸ€”		 Sophia Batchelor
Sophia Batchelor
πŸ‘€ πŸ€” 🚧 πŸ“’ ⚠️ πŸ“‹ πŸ›		 Sophie J Mann
Sophie J Mann
πŸ€” πŸ–‹		 Sparkler
Sparkler
🌍
Srishti Nema
Srishti Nema
πŸ› πŸ–‹		 Stefan Janssen
Stefan Janssen
🌍		 Stefan Radic Webster
Stefan Radic Webster
πŸ›		 Stefan Verhoeven
Stefan Verhoeven
πŸ–‹		 Stephan Druskat
Stephan Druskat
πŸ“– πŸ–‹ πŸ€”		 Stephen Eglen
Stephen Eglen
πŸ‘€		 Sumera Priyadarsini
Sumera Priyadarsini
πŸ›
Susanna-Assunta Sansone
Susanna-Assunta Sansone
πŸ“–		 Sven van der Burg
Sven van der Burg
πŸ–‹		 Tania Allard
Tania Allard
πŸ€” πŸ’¬		 Tanya Yankelevich
Tanya Yankelevich
πŸ–‹		 Tarek Allam
Tarek Allam
πŸš‡ πŸ“–		 Tess Gough
Tess Gough
πŸ€”		 Thomas Sandmann
Thomas Sandmann
🌍
Thya van den Berg
Thya van den Berg
πŸ“‹		 Tim Head
Tim Head
πŸ’¬ πŸ€”		 Tim Myers
Tim Myers
πŸ›		 Tim Powell
Tim Powell
πŸ€” πŸ–‹		 Tony Yang
Tony Yang
πŸ“– 🌍 πŸš‡		 Trish
Trish
πŸ€” πŸ–‹		 TueloNtlotlang
TueloNtlotlang
πŸ›
Tushar Rohilla
Tushar Rohilla
πŸ› πŸ–‹		 Varachkina
Varachkina
πŸ–‹ πŸ›		 VatsalNagelia
VatsalNagelia
πŸ–‹		 Veronika Cheplygina
Veronika Cheplygina
πŸ€” πŸ–‹		 Vicky Smith
Vicky Smith
πŸ–‹		 Victoria
Victoria
πŸ€”		 Victoria Dominguez del Angel
Victoria Dominguez del Angel
πŸ›
WNekesa
WNekesa
πŸ–‹		 Warrick Ball
Warrick Ball
πŸ€” πŸ–‹		 Wiebke Toussaint
Wiebke Toussaint
πŸ›		 Will Hulme
Will Hulme
πŸ“–		 Wolmar Nyberg Γ…kerstrΓΆm
Wolmar Nyberg Γ…kerstrΓΆm
πŸ‘€		 Xiaoqing Chen
Xiaoqing Chen
πŸ€”		 Yanina Bellini Saibene
Yanina Bellini Saibene
πŸ–‹ 🌍 πŸ‘€ πŸ€”
Yash Varshney
Yash Varshney
πŸ›		 Yini
Yini
🌍		 Yo Yehudi
Yo Yehudi
πŸ“– πŸ‘€ πŸ€”		 Yu-Fang Yang
Yu-Fang Yang
πŸ›		 Zeena-Shawa
Zeena-Shawa
πŸ–‹		 ZoeIngr
ZoeIngr
πŸ–‹		 abrown41
abrown41
πŸ€” πŸ–‹
acork25
acork25
πŸ€”		 acrall
acrall
πŸ›		 akira-endo
akira-endo
πŸ€”		 alessandroragano
alessandroragano
πŸ€”		 alihumayun
alihumayun
πŸ› πŸ‘€		 andreabecsek
andreabecsek
πŸ€”		 andrealuppi
andrealuppi
πŸ€”
annarae13
annarae13
πŸ–‹		 ashatitus
ashatitus
πŸ‘€ πŸ–‹		 beccawilson
beccawilson
️️️️♿️		 benkrikler
benkrikler
πŸ€” πŸ–‹		 brynnelliott
brynnelliott
πŸ›		 caroldutra3
caroldutra3
πŸ€” πŸ›		 ceciledebezenac
ceciledebezenac
πŸ€”
claudia-belardi
claudia-belardi
πŸ‘€		 daniguariso
daniguariso
πŸ€”		 dumei00
dumei00
πŸ€” πŸ–‹		 ghuangcazza
ghuangcazza
πŸ€” πŸ–‹		 giuliaok
giuliaok
πŸ€”		 glumand
glumand
🌍		 grczh
grczh
πŸ–‹
griff-rees
griff-rees
πŸ›		 harisood
harisood
πŸ› πŸ–‹		 hlnicholls
hlnicholls
πŸ–‹ πŸ‘€		 iramosp
iramosp
πŸ›		 irenekp
irenekp
πŸ–‹		 jonnyhorsley
jonnyhorsley
πŸ€”		 keneuoe
keneuoe
πŸ€” πŸ–‹
kgrieman
kgrieman
πŸ€”		 kkaryono
kkaryono
πŸ€” πŸ–‹		 l-gorman
l-gorman
πŸ€”		 lakillo
lakillo
πŸ€” πŸ–‹		 leavanh
leavanh
πŸ›		 lottycoupat
lottycoupat
πŸ› πŸ–‹		 lukehare
lukehare
πŸš‡ 🚧
mahmoud-elsherif
mahmoud-elsherif
πŸ–‹		 mcnanton
mcnanton
πŸ› πŸ–‹		 meliimming
meliimming
πŸ›		 mengyucui123
mengyucui123
πŸ€”		 merlijn-de-smit
merlijn-de-smit
πŸ›		 mingyuzhuu
mingyuzhuu
πŸ€” πŸ–‹		 mishkanemes
mishkanemes
πŸ“‹
mjcasy
mjcasy
πŸ€” πŸ–‹		 mkhslaa
mkhslaa
πŸ–‹		 msanter01
msanter01
🌍 πŸ“’		 oxpeter
oxpeter
πŸ›		 pascalflohr
pascalflohr
πŸ›		 peterrhysstrong
peterrhysstrong
πŸ€”		 rabbits99
rabbits99
🌍
rachelzwalker
rachelzwalker
πŸ€” πŸ–‹		 raptorchief
raptorchief
πŸ›		 rickdkk
rickdkk
πŸ–‹		 robbykha
robbykha
πŸ–‹		 russellmartin321
russellmartin321
πŸ›		 sallyob123
sallyob123
πŸ€”		 sethsh7
sethsh7
πŸ€”
sgichuki
sgichuki
πŸ–‹ πŸ›		 sliaqat3
sliaqat3
πŸ‘€		 smasarone
smasarone
πŸ€”		 snehashish-ghosh98
snehashish-ghosh98
πŸ›		 srtmohan
srtmohan
πŸ€” πŸ–‹		 swalkoAI
swalkoAI
πŸ€”		 takuover
takuover
πŸ€”
timothy22000
timothy22000
🌍 πŸ–‹ πŸš‡		 tpronk
tpronk
πŸ›		 tugceoruc
tugceoruc
πŸ€”		 vasilisstav
vasilisstav
πŸ€”		 vcpope
vcpope
πŸ“’		 vhellon
vhellon
πŸ‘€ πŸ–‹		 yaseminturkyilmaz
yaseminturkyilmaz
πŸ“ πŸ€”

This project follows the all-contributors specification. Contributions of any kind welcome!

Collaborating Organisations and Projects#

The Turing Way community receives in-kind contributions from members supported by their employers, projects or organisations for their participation. Such contributions are applicable when one or multiple members from a project or organisation collaborate to build and maintain resources in The Turing Way. These contributions also include projects that build upon The Turing Way resources or collaborate with The Turing Way team members in various capacities. We acknowledge each of these contributing members individually and list their profiles under β€œCollaborating organisations and projects”.

Delft University of Technology - Faculty of Applied Sciences#

The Faculty of Applied Sciences is the largest of Delft University of Technology and focuses on finding innovative solutions to some of the problems faced by society. Development of the fundamental knowledge needed to underpin technical developments that can be widely used throughout society. In ensuring that this knowledge can be shared efectively with the wider society, the Faculty values the sharing of data and code and has a Research Data Management policy in place since 2020. In this effort, the contributions from the Faculty of Applied Sciences have mainly focused on the Reproducible Research Chapter of The Turing Way.

Esther Plomp#

  • Roles:

    • Project Memebr (2020-Present)

    • Book Dash Participant 2020

    • Book Dash Planning Committee 2021

    • Semi regular co-working call crasher

  • GitHub id: EstherPlomp

  • ORCID: 0000-0003-3625-1357

  • Twitter: @PhDToothFAIRy

  • Short bio:

I’m a Data Steward at the Delft University of Technology, Faculty of Applied Sciences, in the Netherlands, where I support researchers with their data management and open science practices. For my PhD research, I analysed human teeth for their isotopic/chemical composition in order to say something about human mobility patterns (fields of forensics, archaeology, osteology). Next to the Turing Way I’m also involved with other teams, such as the Open Research Calendar (follow the calendar on Twitter!), IsoArcH and I was an OLS3 mentor! I’m also interested in anything related to physical samples in research, and I’m a co-chair of the Research Data Alliance Physical Samples Interest Group.

  • Personal highlights:

Thanks to the Turing Way I really learned how to work collaboratively using GitHub. The book dash in February 2020 was a great kick start to actually practice and directly apply these skills, which now allows me to contribute more confidently to other projects as well! I primarily contributed to the Reproducible Research Chapter, to the Research Data Management section, and to the Research Infrastructure Roles. I reviewed existing content and I’m working on adding a section on Data Management Plans and how to handle personal data. I also made a The Turing Way poster that I presented during a conference. I hope to pay it forward and facilitate others in learning how to work with GitHub through The Turing Way or The Carpentries workshops. I’m very grateful to be part of this great and inclusive community!

  • More information:

I think scientific research should be accessible to anyone that would like to learn and contribute. I’m hoping to bring together specialists from my research field to establish guidelines for isotopic data from human remains and guidelines for how to handle and document physical samples. I’m a co-chair of the Research Data Alliance group Physical Samples and Collections in the Research Data Ecosystem IG. Please do get in touch if you work with physical samples and would like to get involved! I’m part of the Open Research Calendar Team. This is a calendar that you can use to stay up to date with open research events, or add your own events to in order to increase visibility. Visit us at the Open Research Calendar Website or follow the calendar on Twitter!

  • Quote:

Being a part of the organising committee for the online Book Dashes was an exciting opportunity for me to look behind the organisation scenes and to be a part of an amazing team. The BookDashes themselves are absolutely amazing, especially the discussions and the β€˜show and tell’ sessions!

Netherlands eScience Center#

The Netherlands eScience Center is the Dutch national hub for the development and application of domain overarching software and methods for the scientific community. Their main goal is to enable scientists with varying computing experience to fully utilize the potential of the available e-infrastructure and allow them to achieve otherwise unreachable scientific breakthroughs. The Netherlands eScience Center is primarily funded by the national research council (NWO) and the national e-infrastructure organization (SURF) of the Netherlands.

The Netherlands eScience center maintains its own guide for reproducible software development. The focus of the eScience center guide has a big overlap with The Turing Way and therefore it makes sense to avoid duplicating efforts. The eScience center contributes to The Turing Way in the areas which are relevant for the eScience guide. The eScience guide points to The Turing Way in when information would otherwise be duplicated.

Details of each members with their contributions have been listed alphabetically.

Carlos Martinez Oritz#

  • Role:

    • Project Memebr (2020-Present)

    • Book Dash Participant 2020

    • Book Dash Planning Committee 2021

    • Community Manager for eScience Center

  • GitHub id: c-martinez

  • ORCID: 0000-0001-5565-7577

  • Short bio:

Carlos obtained his PhD in Computer Science at the University of Exeter. Afterwards he worked on various research projects at the University of Exeter and Plymouth University. At the eScience Center, he has worked as an engineer in diverse projects in digital humanities and life sciences, developing expertise in natural language processing, linked open data and software sustainability. He is also a certified Software Carpentry instructor and is frequently involved in organising trainings.

  • Personal highlights:

We always advocate for software reuse and collaborative development of software. I love that we can do the same for software development guidelines: reuse content from the eScience guide and collaboratively develop with The Turing Way community!

  • More information:

I am a big advocate of improving software quality. I am really glad that the eScience center is collaborating with The Turing Way in providing guidelines and helping build better research software.

Mateusz Kuzak#

  • Role:

    • Project Memebr (2020-Present)

    • Book Dash Participant/Helper 2020

  • GitHub id: mkuzak

  • ORCID: 0000-0003-0087-6021

  • Short bio:

Mateusz obtained his master degree in Biotechnology with specialization Biophysics, at the Jagiellonian University, Krakow, Poland. In September 2019 Mateusz joined the Netherlands eScience Center in the role of Community Officer with the focus on communities and training around Research Software Engineering, software best practices and sustainability, and the role of software in open science and reproducible research. Since 2015, Mateusz has been involved in the Carpentries community, first as an instructor, later contributor, mentor, Executive Council member and instructor trainer. He is also leading the Dutch chapter of the Carpentries and is on the core team of nl-RSE community.

  • Personal highlights:

I have personally contributed to The Turing Way by drafting chapters in the guide for Reproducible Research, reviewed other contributor’s Pull Requests and mentored contributions from Netherlands eScience Center.

FAIR Cookbook#

FAIR Cookbook is an online resource that helps researchers and data managers professionals make their data Findable, Accessible, Interoperable and Reusable (FAIR). FAIRPlus Cookbook builds on The Turing Way project and community models, and provides chapters as β€œrecipes” according to the FAIR elements, audience type, reading time, and level of difficulty.

The Turing Way team members and project’s editorial board members, Susanna-Assunta Sansone and Philippe Rocca-Serra, collaborate to ensure an interoperability between the two resources and exchange experiences as open source project developers. FAIR Cookbook features relevant chapters from The Turing Way. Similarly, The Turing Way features the project and provides an impact story titled From FAIR Co-Author to FAIR Doer by Susanna-Assunta Sansone (a co-lead of the FAIR Cookbook project). You can find more details and background in the chapter Leveraging the Turing Way Book.

Susanna-Assunta Sansone#

Susanna-Assunta Sansone is an Associate Director and Principal Investigator at the Oxford e-Research Centre, and an Associate Professor in the Department of Engineering Science of the University of Oxford. She is also a Consultant for Springer Nature, and Founding Honorary Academic Editor of the Scientific Data journal.

  • Personal highlights:

TBA

  • More information:

Susanna-Assunta Sansone’s motto is β€œBetter data for better science”. With her group of brilliant research software & knowledge engineers, she researches and develops methods and tools to improve data reuse; they work for data transparency, research integrity and the evolution of scholarly publishing. She also conducts research-on-research, to improve how research is practiced and shared. Specifically, she strives to make digital research objects, including data, Findable, Accessible, Interoperable and Reusable, FAIR, for humans and for machines.

Philippe Rocca-Serra#

Philippe Rocca-Serra received a PhD in Molecular Biology from the University of Bordeaux, moving to the field of bioinformatics upon joining the Microarray Informatics Team at the EMBL-EBI, Cambridge. There, working at establishing ArrayExpress, he became an active member of several standardisation efforts aimed at promoting the vision for open data and open science. As part of several EU projects in toxicogenomics and nutrigenomics, he coordinated the development of the ISA project [1], which now continues at the University of Oxford e-Research Centre.

  • Personal highlights:

TBA

Open Life Science#

Under the collaboration name OLS-4 for Turing, The Turing Way collaborates with Open Life Science (OLS), a programme that helps individuals and stakeholders in research to become Open Science ambassadors. This programme is cofounded by BΓ©rΓ©nice Batut, Malvika Sharan and Yo Yehudi. This collaboration offers training and mentoring to interested members from Turing and The Turing Way communities to join the OLS programme individually or in teams. They develop Open Science aspects in the projects that they either already have been working on or want to develop in the near future.

You can see the projects that participated in the second round - OLS-2 and the third round - OLS-3. This collaboration was awarded the Turing Online Training grant to support Turing projects in the fourth round (OLS-4) and share materials openly in the Turing training network.

Remote Computational Project Resource#

This resource was started by Isabel Birds during the COVID-19 pandemic to support students transferred from wet to remote dry lab projects at short notice. This project includes links to (1) general tutorials for the complete beginner, (2) tutorials for specific analyses or pipelines, (3) free online textbooks, and (4) places to ask for help.

Isabel Birds#

Isabel is a PhD candidate at University of Leeds working on dissecting the function and molecular evolution of long non-coding RNAs Supervised by Dr Julie Aspden, Dr Mary J O’Connell and Dr David Westhead. She has been interested in molecular evolution and the applications of bioinformatic techniques throughout her degree, and developed these interests while undertaking research projects in the Aspden and O’Connell labs.
She also has experience of scientific research from a funders perspective, gained during her year in industry and numerous summer internships with Yorkshire Cancer Research.

  • Personal highlights:

After learning about the Turing Way I was inspired to create a site aimed at a wider audience. The Turing Way tutorials helped me to set up my first Jupyter Book, helped me to create the site in a way that is open to contributions, and made sharing my work openly less scary! The Turing Way also pops up a few times in the resources listed. The aim of the resource is to make starting a computational project less overwhelming by curating links to tutorials and online textbooks. Skills such as file management or asking for help effectively are also highlighted, along with entertaining things like podcasts as a reminder that research can be fun!