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.
HTMLNOASSERTION
Stargazers
- 73616e646572@CentreForDigitalHumanities @UtrechtUniversity
- ansuzcryptography.dog
- asset-web@ilrt
- Bergam0tUniversity of Exeter
- caifand
- chrisdburr@alan-turing-institute
- Copium-Enjoyer
- d-morrisonUniversity of California, Davis
- DanGoldwater1
- dsmukilanNewcastle upon Tyne, UK
- galaris
- Ismael-KGLondon School of Economics & Political Science
- jcwomackUniversity of Bristol
- JosephTrevorrowUniversity Of Bristol
- jqdqData Analyst @ pomagam.pl
- keliiveWise
- Lextuga007@nhs-r-community
- lspopeBristol, UK
- maelorinAdelaide, Australia
- martintoreilly@alan-turing-institute
- maverick-escape-ordinary-coding
- mcnantonBuenos Aires, Argentina
- MelanieIStefanUniversity of Edinburgh
- moebg@ironclad
- NatalieZelenka@denaxaslab
- neelsoumyaUniversity of Cambridge
- nick-ulleUC Davis DataLab (@ucdavisdatalab)
- ninadicaraUniversity of Bristol
- Owain-S
- phil-6Ryalto
- reblakeIntertidal Agency
- Susana465University of Edinburgh
- SyndesiGermany
- varlottaangItaly