Open fontikar opened 1 week ago
I know it's not exactly what you are looking for (this is more data about gender bias, than about data bias), yet: the 2024 edition of the Pacific Data Viz (https://pacificdatavizchallenge.org/en) has been about Gender (in)equality. At the bottom of the page there is a list of relevant datasets we at the Pacific Community | Communauté du Pacifique (www.spc.int) have identified (some are dissemintated through our data portal).
Happy to help with the project however possible.
WOW @gvdr these look incredible! Sorry I was not clear what I meant by data bias, I suppose gender bias is a form of data bias so you are correct! Thanks so for much for sharing! All applications highlight the importance of education, workforce and health biases!
I am posting the links to the applications directly here
Also came across this while I was scrolling through
I guess the goals for this very undeveloped project would be to:
There was a really striking case study in the book Invisible Women https://www.londonreconnections.com/2019/mind-the-gender-gap-the-hidden-data-gap-in-transport/ about transport patterns that vary across the population which affects urban planning! I think that data would be hard to come by, but maybe not impossible and would be a really cool visualisation that can draw attention to the issue.
Cool stuff! If you are interested, see #12 and related issues (#11 , #13 , #14 ) for some call for help from us :-)
Hi! Thanks for the topic suggestion.
To help us prepare for the hackathon event it would be great to prepare a quick 30-60 sec overview of the topic to introduce it to the group on the day and seek interested collaborators. You can use the below prompts to help with this:
Came across these reports for data to show bias againest Women in Australia: https://genderequality.gov.au/status-women-report-cards/2024-report-card https://www.health.gov.au/sites/default/files/2024-03/endgenderbias-survey-results-summary-report_0.pdf https://www.wgea.gov.au/publications/australias-gender-equality-scorecard https://www.wgea.gov.au/data-statistics/data-explorer
A little bummed that the data is not shared but maybe compiling the data for this type data would be useful
The Gender Indictors seem to give you an option to download data for particular plots as csv but inconsistent across indicators https://www.abs.gov.au/statistics/people/people-and-communities/how-australians-use-their-time/2020-21 https://www.abs.gov.au/statistics/people/people-and-communities/how-australians-use-their-time/2020-21#data-downloads
Idea: Extract data with metaDigitise
Research paper showing bias against females in research funding success: https://elifesciences.org/reviewed-preprints/97613
NZ and AU are featured
Data not open :(
Another data explorer but data is not available
Ministry of Women has a nice data explorer: https://www.women.govt.nz/tools/whats-my-gender-pay-gap/occupation/technicians-and-trade-workers I don't see the option to download data but worth exploring extraction
Hi! Thanks for the topic suggestion.
To help us prepare for the hackathon event it would be great to prepare a quick 30-60 sec overview of the topic to introduce it to the group on the day and seek interested collaborators. You can use the below prompts to help with this:
What is the headline idea?
Open Data for Gender Biases in Oceania
What is the (realistic) outcome being aimed for during the event?
Compiled list and possible workflows on obtaining data from existing sources.
What types of contributions would be welcomed (i.e. specific skills, tasks)?
This looks like a great tool: https://sdd.spc.int/topic/gender Gives options to explore and download
This is impressive: https://pacificdata.org/data/dataset/?organization=un-women&tags=development-programming
This is not a fully formulated idea but it is inspired by the books Invisible Women and Queer Data which discusses the data biases again women and queer folks. Biases are prevalent from policy, urban design, AI training, workplace, healthcare and more. Most of the studies are from the North Hemisphere.
This idea can definitely be split into seperate ideas but I am putting them collectively here as they both have a common goal is of identifying biases.
Perhaps a minimal viable product for would be to compile data sources that can be used to identify data biases. (ABRS, healthcare data, meta-analyses?)
Mid term goal could be workflows on how to wrangle, clean the data from different sources to prep for analysis.
A long term goal maybe a interactive application to host and explore these data sources