We use quantitative and qualitative methodologies to equip historically marginalized groups with data to advocate for change.
Our projects range from investigating wage theft in the US to uncovering the legacies of apartheid in South Africa.
3 results
Centering the experiences of data workers in machine learning by using the Workers' Inquiry approach to uncover opportunities for collaborative knowledge exchange and collective organizing. Go to https://data-workers.org to find zines, reports, documentaries, podcasts and more created by 16 data workers from 4 continents.
Analyzing the impacts of South African apartheid using computer vision techniques and satellite imagery. Read our NeurIPS paper and this MIT Tech Review article, and check out our dataset and visualizations.
Analyzing the history of Black protests in the US and Canada using machine learning methods. Read our papers on Sociological Science and Mobilization to learn more.