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Mission Wildlife is a research collaboration between San Diego Zoo Global and the MIT Center for Civic Media to explore the pot...
The Gender Shades project pilots an intersectional approach to inclusive product testing for AI.Algorithmic Bias PersistsGender Shades is...
Action Path is a mobile app to help people learn about and engage with issues in their community. The app uses push notifications tied to...
In September 2014, 150 parents, engineers, designers, and healthcare practitioners gathered at the MIT Media Lab for the "Make the Breast...
All people are created equal, but in the eyes of the algorithm, not all faces are just yet.A new study from MIT and Microsoft r...
A new review of face recognition software found that, when identifying gender, the software is most accurate for men with light skin...
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.
New research out of MIT’s Media Lab is underscoring what other experts have reported or at least suspected before: facial recognition tec...
POWERSTRUCTURES : the urban form of regulations, Noyman, Ariel, Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2015.; Cataloged from PDF version of thesis.; Includes bibliographical references (pages 232-236).
Ho, P. H., Miller, G. A., Wang M. Y., Haleftiras, N., Zuckerman, E. 2017. Mission Wildlife: An Augmented Reality Approach to Engaging People About Threats to Endangered Species at a Zoo. In proceedings of Unobtrusive User Experiences with Technology in Nature (NatureCHI'17) at the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI'17).
Biomolecules to biopolitics: hormones with institutional biopower! Open Source Estrogen combines do-it-yourself science, body and gender ...
Facebook volunteers and work-at-home moms might be making city planning decisions, thanks to AI research conducted by MIT scientists. Res...
Using computer vision to examine Google Street View, the researchers analyzed how streets and blocks have changed in five American cities.
Tested with five American cities, Streetchange quantifies the physical improvement or deterioration of neighborhoods.
A recently published paper in the Proceedings of the National Academy of Sciences (PNAS) looks at factors that predict neighborhood change.
Researchers have used machine learning to quantify the physical improvement or deterioration of neighborhoods in five American cities.
Joy Buolamwini's TED Talk
Algorithms used by the police are better at identifying some racial groups than others. Why is hardly anyone studying this?
On April 26, 2017, Erhardt Graeff spoke about "Designing for Monitorial Citizenship" at The Impact of Civic Technology Conference (TICTeC...
Graef, E. "Action Path: A Location-based Tool for Civic Reflection and Engagement"
Graeff, Erhardt and J. Nathan Matias. 2015. ‘Making Drones Civic: Values and Design Principles for Civic Technology.’ Presented during the “Unmanned Rights: Drone Use By Civil Society” panel at ISA 56th Annual Convention, New Orleans, Feb 20.
Graeff, Erhardt. 2016. ‘Strike Debt and the Rolling Jubilee—Building a Debt Resistance Movement.’ In Gordon, E. & Mihailidis, P., eds., Civic Media: Technology, Design, Practice. Cambridge, MA: MIT Press, pp. 137–146.
How to bring the programmability of the digital world to the physical world.
Everyone in the city is an expert on their own experience of that city. So how might we integrate new forms of citizen input into the pla...