Data Science

Related Faculty

Morgan G. Ames

Morgan Ames

Alumni (MIMS 2006)
Assistant Professor of Practice
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science
Daniel Aranki

Daniel Aranki

Assistant Professor of Practice
Predictive medicine; artificial intelligence; machine learning; tele-health; information disclosure; privacy; security.
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David Bamman

Associate Professor
Natural language processing, computational social science, machine learning, digital humanities
Coye Cheshire

Coye Cheshire

Professor
Trust, social exchange, social psychology, and information exchange
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John Chuang

Professor
Biosensory computing; climate informatics; information economics and policy

Recent Publications

Data Science news

Josh Blumenstock
Josh Blumenstock Awarded NSF Career Award for ‘Welfare-Centric’ Machine Learning

The award will support Blumenstock’s work on a new paradigm of algorithmic decision-making  that prioritizes social impact.

David Bamman
David Bamman Awarded NSF Career Award

Assistant Professor David Bamman was honored for for his research designing computational methods for natural language processing for fiction.

Aditya Parameswaran
Aditya Parameswaran Awarded Sloan Research Fellowship

The Sloan Research Fellowship is given to the brightest up-and-coming scientists in the United States.

Jennifer Chayes
Jennifer Chayes, Hany Farid Named 2020 Spark + AI Summit Keynote Speakers
Chris Hoofnagle
Chris Hoofnagle Explains Shoshana Zuboff’s ‘Surveillance Capitalism’
Ben Arnoldy
“Data for Good” Fellowship Awardee Fights Climate Change with Data Science Communications

MIDS student Ben Arnoldy has been awarded the Fall 2019 Jack Larson Data Science for Good Fellowship for his work involving the use of data science to educate the public on climate change and pollution.

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Zach Pardos is Using Machine Learning to Broaden Pathways from Community College

Assistant Professor Zachary Pardos and his team have developed a machine learning approach that promises to help more community college students position themselves to transfer and succeed at four-year colleges and universities. 

Parameswaran accepts the 2019 VLDB Early Career Research Contributions Award.
Democratizing Data Science: Parameswaran Receives the 2019 VLDB Award

Assistant professor at the Berkeley School of Information, Aditya Parameswaran, has been awarded the 2019 Very Large Data Bases Early Career Award.

Santamaria Ots locating cities in need of relief supplies.
“Data for Good” Fellowship Awardee Aims to Empower Puerto Rican Citizens

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

Professor Marti Hearst
Marti Hearst is a 2019 Bloomberg Data Science Research Grant Winner

Professor Marti Hearst is one of six recipients of a Bloomberg Data Science Research Grant for research on Unsupervised Abstractive News Summarization.