very-good-science / data-hazards

Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science - and to use that vocabulary to help people understand and avoid Data Hazards.

Home Page:https://datahazards.com

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Data Hazards Project

DOI

All Contributors

A Data Hazard Label, similar to a COSSH hazard label, with text Data Science Hazard

Data Ethics Club and the Jean Golding Institute are working with interdisciplinary researchers to create the Data Hazards Project. Please see the project website for the most up-to-date information.

Aims

We are creating resources to help interdisciplinary researchers and citizens consider the worse-case scenarios of data science work together, and for these ethical concerns to be embedded in the research. For a full list of our aims and strategies to achieve them, please see our website.

Re-using our materials

We really welcome people re-using the materials we have made! This repository is licensed under a CC-BY 4.0 license. This translates to: yes, please do use, remix, and share anything you find in this repo, but you must credit us with attribution (a link to this repo is okay!).

If you'd like to work with us to use these materials in a new context, please do get in touch.

Contact us

To hear more about the project or collaborate with us contact us via email.

This project is being jointly led by:

You could consider this project a spin-off of Data Ethics Club.

Contributors

We use the all-contributors specification to celebrate all kinds of contributions to this project. Emoji key here!

If you'd like to join us as a contributor, check out our contributor's guide for ways to get involved.

NatalieThurlby
NatalieThurlby

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Conor Houghton
Conor Houghton

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Nina
Nina

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Valerio Maggio
Valerio Maggio

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Ismael-KG
Ismael-KG

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Kate Robson-Brown
Kate Robson-Brown

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Patricia Holley
Patricia Holley

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Lily Rice
Lily Rice

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ekuw
ekuw

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James Thomas
James Thomas

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Jakub Dakowski
Jakub Dakowski

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vairylein
vairylein

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Holly Fraser
Holly Fraser

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Gareth Jones
Gareth Jones

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ZoΓ« Turner
ZoΓ« Turner

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Susana Roman Garcia
Susana Roman Garcia

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Melanie I Stefan
Melanie I Stefan

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About

Data Hazards is a project to find a shared vocabulary for talking about worst-case scenarios of data science - and to use that vocabulary to help people understand and avoid Data Hazards.

https://datahazards.com

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