Data Science

Related Faculty

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

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

Recent Publications

Inferring Personal Information from Demand-Response Systems

February 2, 2010

Indexing and Searching Tera-Scale Grid-Based Digital Libraries

November 15, 2006

Universal Access to Information

October 1, 2005

Data Science news

Data For Good Fellowship Recipient Wants to Empower Rural Healthcare Providers with AI

January 21, 2021

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.

Prof. Blumenstock’s Technology Brings Covid Aid to Togo

December 17, 2020

Jennifer Chayes at NeurIPS ’20: ML Community Must Work With Interdisciplinary Experts

December 14, 2020

Charity Worked with Josh Blumenstock to Identify Aid Recipients in Togo Using Mobile Phone Data

December 11, 2020

Blumenstock’s Research Brings Cash Aid to to Togo’s Poorest

December 11, 2020

Pioneering NLP Research Examines Representation in Texas Textbooks

October 28, 2020

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

Ph.D. Student Doris Lee Awarded 2020 Facebook Fellowship in Systems for Machine Learning

September 11, 2020

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

David Bamman Wins National Endowment for Humanities Grant

August 13, 2020

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.

Berkeley Student Develops Text-Based ID Strategies to Support UN’s Cash Assistance Programs

July 28, 2020

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

Satellite Images, Phone Data Help Guide Pandemic Aid In At-Risk Developing Countries

June 2, 2020

In recent weeks, Prof. Joshua Blumenstock has worked with policymakers in Togo, Nigeria, and Bangladesh to focus the power of advanced technology on pandemic relief.