Data Science

Related Faculty

Morgan G. Ames
Assistant Professor of Practice
Alumni (MIMS 2006)
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science
Daniel Aranki
Assistant Professor of Practice
Predictive medicine; artificial intelligence; machine learning; tele-health; information disclosure; privacy; security.
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Associate Professor
Natural language processing, computational social science, machine learning, digital humanities
Coye Cheshire
Professor
Trust, social exchange, social psychology, and information exchange
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Professor
Biosensory computing; climate informatics; information economics and policy
Photo of Aditya Parameswaran
Associate Professor (I School and Computer Science)
Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science

Recent Publications

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May 15, 2022

During the pandemic in the United States, there has been considerably more interest in home abortions than in minimally or nonclinically supported self-abortions. As access barriers to in-person abortion care increase due to legal restrictions and COVID-19–related disruptions, individuals may be turning to the internet for information and services on out-of-clinic medication abortions. Google searches allow us to explore timely population-level interest in this topic and assess its implications.

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Data Science news

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Outstanding MICS and MIDS capstone projects, and distinguished teaching awards.

Mahdieh Taher

Mahdieh Taher (MIDS ’20) has been awarded the Jack Larson Data for Good Fellowship for her work as a data engineer dedicated to improving medical diagnoses in rural areas.

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Ph.D. student Lucy Li Awarded Best Paper by the American Educational Research Association

Doris Lee

Lee aims to design systems that provide automated recommendations in visual data exploration and machine learning

David Bamman

David Bamman’s BookNLP project will receive funding from the National Endowment for Humanities (NEH) to expand its scope to include German, Japanese, Russian and Spanish languages.

Daniel Alvarez

MIDS student Daniel Alvarez developed text-based similarity algorithms for the UN World Food Programme to support cash-based relief delivery.

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