Record of contributions#
The Data Hazards project exists because of the support and contributions of the many different people below. Please also note that people have also anonymously contributed ideas and resources to the project that Nina and Natalie have added on their behalf.
This page is a place where anyone who has contributed to the project can be recognised for the time, effort and expertise they have given to Data Hazards.
This page is based on a similar model used by The Turing Way for recognising contributors to open source projects.
We welcome anyone asking to be added to this page if they have made a contribution.
You can read about different ways to contribute to the project in our contributors guide.
To be added, please submit an issue, make a pull request, or send us an email which includes the following details:
Your Role and Affiliation
(Optional) ORCID ID or other persistent identifier
(Optional) Personal contact details or website
Overview of your contribution to the Data Hazards Project - please don’t be modest!
Nina Di Cara#
Along with Natalie I worked on the original idea for the Data Hazards, created resources around them (like teaching materials, slides, reflective prompts, illustrations), planned and delivered our workshops, and the website content. Jointly Natalie and I provide leadership for the project in terms of its next steps and uses. I care a lot about reducing the harm that technology can do to people who may not have power to fight back against, and hope this projects goes some way to making us all think more carefully about what we can all do as individuals to prevent harm. I am also thrilled to have been able to work with (and continue to work with) all the fantastic people who have got involved with this project!
As a co-lead of the Data Hazards project, I developed the idea for Data Hazards with Nina, wrote lesson materials and proposals and drafted papers, designed images, found funding, and did lots of planning. Me and Nina shared these leadership and organisational tasks 50-50, but we are so grateful for everyone’s contributions and support so far. I hope that - like some of the work that I’m most inspired by - these materials reduce barriers for researchers. In this case, I hope Data Hazards makes it easier for data scientists to consider the ethical implications of their work and to make those decisions together with the communities who are affected by the work they are doing.
Ismael Kherrouvi Garcia#
Role: Workshop facilitator (and huge fan!)
In September 2021, I was delighted to facilitate a workshop alongside @NatalieZelenka and @ninadicara to test the Data Hazard labels with researchers from diverse backgrounds. This meant working with Natalie and Nina to familiarise myself with the prompts they had prepared, and then keeping the conversation flowing during breakout rooms with workshop participants. I had previously gathered feedback from The Alan Turing Institute’s Ethics Advisory Group (EAG) for the Data Hazard labels. My time with the Turing’s EAG allowed me to appreciate the value of the Data Hazard labels, both in the context of training data scientists on questions of ethics, and for preparing documentation for the review of research ethics committees.
Melanie I Stefan#
Role: Early adopter
ORCID: 0000-0002-6086-7357 [https://orcid.org/my-orcid?orcid=0000-0002-6086-7357]
I was introduced to Data Hazards by the wonderful @Susana465, and it has informed my thinking and practice ever since. I helped facilitate a workhop on Data Hazards at COMBINE 2022 in Berlin, and also talked about how I use the Data Hazards framework to flag up potential issues with my own lecture materials at the [Data Hazards, Ethics and Reproducibility One-Day Symposium] (https://www.eventbrite.com/e/online-data-hazards-ethics-and-reproducibility-one-day-symposium-tickets-517490858087) at the Turing Institute in 2023. I am also involved in the discussion on the Data Hazards labels themselves.