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

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

Jan 3, 2022

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

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

Jennifer Chayes on How To Fight Hate Online

Oct 27, 2021

UC Berkeley Researchers Win $2M Grant for Criminal Justice Datasets

Sep 8, 2021

Data for Good Fellowship Recipient Uses Data Science to Help Fight Human Trafficking

Oct 14, 2021

5th Year MIDS student Ben Chu has been awarded the Summer 2021 Jack Larson Data Science for Good Fellowship for his work on improving supply chain transparency to end human trafficking and forced labor.

UC Berkeley Researchers Receive $2 Million Grant to Build Criminal Justice Big Data Tools

Sep 7, 2021

I School Professors Aditya Parameswaran and Niloufar Salehi are among a group of UC Berkeley researchers that recently won a 3-year, $2 million National Science Foundation grant to improve the useability of big criminal justice datasets for public defenders and others.

August 2021 MICS and MIDS Capstone Award Winners

Sep 7, 2021

Outstanding MICS, MIDS, and 5th Year MIDS capstone projects.

Ph.D. Student Doris Lee on Data Exploration with a New Python Library

May 27, 2021

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.