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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.

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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.

NatalieZelenka
NatalieZelenka

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Nina
Nina

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Conor Houghton
Conor Houghton

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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

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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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Claire Haworth
Claire Haworth

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Susana Roman Garcia
Susana Roman Garcia

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Yasmin Dwiputri
Yasmin Dwiputri

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Huw Day
Huw Day

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Melanie I Stefan
Melanie I Stefan

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Euan Bennet
Euan Bennet

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Emma Kuwertz
Emma Kuwertz

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Phil Clatworthy
Phil Clatworthy

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SamCallaghan
SamCallaghan

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kateliddell
kateliddell

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Dylan246456
Dylan246456

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stefgrs
stefgrs

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Harriet Sands
Harriet Sands

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Joanne Parkes
Joanne Parkes

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loki maelorin
loki maelorin

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Mukilan Suresh
Mukilan Suresh

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mcnanton
mcnanton

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Emma Kuwertz
Emma Kuwertz

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CeilidhWelsh
CeilidhWelsh

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Oliver Davis
Oliver Davis

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David C Sterratt
David C Sterratt

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Nicola RomanΓ²
Nicola RomanΓ²

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LΓ©o Gorman
LΓ©o Gorman

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Ben Cooper
Ben Cooper

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JennyBunn
JennyBunn

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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.

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