Data Science

Related Faculty

Morgan 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.

David Bamman

Associate Professor

Natural language processing, computational social science, machine learning, digital humanities

Coye Cheshire

Professor

Trust, social exchange, social psychology, and information exchange

John Chuang

Professor

Biosensory computing; climate informatics; information economics and policy

Aditya Parameswaran

Associate Professor (I School and EECS)

Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science

Recent Publications

Mitigating bias in radiology machine learning: 2. Model development

Aug 23, 2022

Impacts of heuristic parameters in PSO inverse kinematics solvers

May 16, 2022

Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples

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.

Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications

May 1, 2022

Machine learning and phone data can improve targeting of humanitarian aid

Mar 16, 2022

Here we show that data from mobile phone networks can improve the targeting of humanitarian assistance.

A Novel Cloud Architecture for Internet of Space Things (IoST)

Jan 18, 2022

Micro-Estimates of Wealth and Poverty for all Low- and Middle-Income Countries

Jan 3, 2022

Self-organizing maps and Bayesian regularized neural network for analyzing gasoline and diesel price drifts

Jan 3, 2022

A sentiment-based modeling and analysis of stock price during the COVID-19: U- and Swoosh-shaped recovery

Dec 26, 2021

Leveraging Differential Privacy While Attending to Social and Political Commitments

Dec 15, 2021

Data Science news

David Bamman Awarded NSF Career Award

Mar 6, 2020

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

Aditya Parameswaran Awarded Sloan Research Fellowship

Feb 12, 2020

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

Chris Hoofnagle Explains Shoshana Zuboff’s ‘Surveillance Capitalism’

Dec 11, 2019

“Data for Good” Fellowship Awardee Fights Climate Change with Data Science Communications

Nov 6, 2019

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.

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

Sep 30, 2019

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

Sep 27, 2019

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

Sep 18, 2019

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

Marti Hearst is a 2019 Bloomberg Data Science Research Grant Winner

Jun 11, 2019

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

Josh Blumenstock Uses Phone Data to Reveal Socioeconomic Status

Feb 23, 2019

Josh Blumenstock at the Artifical Intelligence for Economic Development conference

Josh Blumenstock Honored for Research in the Public Interest

Apr 16, 2019

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