Technology for Developing Regions

Related Faculty

Morgan G. Ames
Assistant Adjunct Professor
Alumni (MIMS 2006)
Science and technology studies; education; anthropology; youth technocultures; ideology and inequity; critical data science
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Assistant Professor
Alumni (PhD 2012)
Development Economics, Data Science, Machine Learning, Econometrics, ICTD
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Associate Professor
technology appropriation in non-Western societies, technology and socio-economic development, qualitative research methods
AnnaLee (Anno) Saxenian
Professor
Regional economic development, Entrepreneurship, Silicon Valley.

Technology for Developing Regions news

The Charisma Machine: The Life, Death, and Legacy of One Laptop Per Child

Morgan G. Ames explores the rise and fall of the One Laptop Per Child (OLPC) project in her new book, The Charisma Machine: The Life, Death, and Legacy of One Laptop Per Child

Santamaria Ots locating cities in need of relief supplies.

In the summer of 2019, Daniel Santamaria Ots received the Jack Larson Data for Good Fellowship for his research in Puerto Rico.

Shazeda Ahmed

Ph.D. student Shazeda Ahmed writes that foreign media has painted a dystopian portrait of China’s social credit system. The reality is both less coherent and more complex.

Josh Blumenstock at the Artifical Intelligence for Economic Development conference

Prof Blumenstock received the Faculty Award for Research in the Public Interest for his research at the intersection of machine learning and development economics.

Joshua Blumenstock

Joshua Blumenstock cautions that new digital methods of approaching issues of poverty must be used as a complement to more traditional approaches.

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Dost, cofounded by alumna Sindhuja Jeyabal (MIMS ’16), is an educational nonprofit providing India’s illiterate mothers regular audio calls with instructions to prepare their children for kindergarten.

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Five School of Information students are developing a system to solve one of the biggest challenges of India’s market for household domestic workers, and to help a whole community that isn’t being served.

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