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

teaser image of book cover - O'Reilly Media - 97 Things About Ethics Everyone in Data Science Should Know

Securing Your Data From Breaches Will Help Us Improve Healthcare

Aug 2, 2020

When you go to a new healthcare clinic in the United States, doctors and nurses pull up your patient record based on your name and birthdate. Sometimes it’s not your chart they pull up. This is not only a healthcare problem; it’s a data science problem.

Migration and Social Networks: New Insights from Novel Data

May 9, 2020

This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology

Nov 14, 2019

Information-intensive innovation: the changing role of the private firm in the research ecosystem through the study of biosensed data

Aug 16, 2019

Sensing is Believing: What People Think Biosensors Can Reveal About Thoughts and Feelings

Jun 13, 2019

The strength of long-range ties in population-scale social networks

Dec 31, 2018

Don't forget people in the use of big data for development

Dec 30, 2018

Machine Learning for the Developing World using Mobile Communication Metadata

Dec 10, 2018

The Transformation of Gender in English-Language Fiction

Feb 13, 2018

This essay explores the changing significance of gender in fiction, asking especially whether its prominence in characterization has varied from the end of the eighteenth century to the beginning of the twenty-first. The authors found that while gender roles were becoming more flexible, the space actually allotted to (real, and fictional) women on the shelves of libraries was contracting sharply.

Imputing KCs with Representations of Problem Content and Context

May 8, 2017

Data Science news

studnets sitting on steps at UC Berkeley

Postdoc Joins I School to Support Launch of Berkeley ‘Fiat Justice Scholars’ Program

Jun 25, 2021

New UC Berkeley public interest tech initiative ‘Fiat Justice Scholars’ will teach a diverse group of undergraduates both technical skills, and, how to think critically about the application of those skills.

Fellowship Recipient Uses Machine Learning to Assist Cancer Research

Jun 7, 2021

Tony Di Sera (MIDS ’21) has been awarded the Jack Larson Data for Good Fellowship for her wide-ranging contributions to genomic research using data science and visualization.

ScholarPhi: A Novel Interface for Reading Scientific Papers

May 10, 2021

ScholarPhi is an augmented reading interface that makes scientific papers more understandable and contextually rich

Emily Aiken, doctoral student at the UC Berkeley School of Information

The Economist Highlights Ph.D. Student Emily Aiken’s Research Using Machine-Learning and Mobile-Phone Data

Apr 8, 2021

An image of Arnobio Morelix and his book 'Rebooted'

New Book by Data Science Alumnus Looks at the Post-Pandemic Economy

Apr 19, 2021

Rebooted: An Uncommon Guide to Radical Success and Fairness in the New World of Life, Death, and Tech, by Arnobio Morelix, examines the opportunities and challenges that are on the horizon for businesses in the post-pandemic economy.

Alumni Win Grant To Develop EdTech Capstone Project

Apr 15, 2021

TeacherPrints, a project developed in MIDS Capstone recently won a $25,000 grant as a Catalyst Prize winner by the Futures Forum on Learning.

How Data Science and Satellite Images Are Helping One Country Hand Out Cash

Apr 1, 2021

In a short film, Professor Josh Blumenstock explains how Berkeley researchers have facilitated a high-tech way for the government of Togo to identify people who need financial help in the pandemic and send them emergency cash.

Listen: Josh Blumenstock on Using Satellite Photos and Mobile Phones to Help Distribute Cash Aid

Mar 16, 2021

Josh Blumenstock is Using Big Data to Combat Extreme Poverty in Togo

Mar 15, 2021

Blumenstock Works With Togo Government to Identify and Deliver Aid to People in Need

Feb 5, 2021

Joshua Blumenstock has worked closely with top government officials in Togo to develop an advanced data-driven system for identifying people in need and delivering financial aid.