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: 3. Performance metrics

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

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.

Blumenstock’s AI Work Brings Cash Aid to Rural Residents in Togo

Feb 15, 2021

Dean Jennifer Chayes Dedicated to Advancing Diversity in Computing

Jan 27, 2021

Summer and Fall 2020 MIDS and MICS Award Winners

Feb 3, 2021

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

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

Jan 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.