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

Professor John Chuang and Ph.D. Student Ando Shah Work With OpenEarth Foundation

Jan 25, 2023

Fall 2022 MICS and MIDS Capstone Award Winners

Jan 23, 2023

Outstanding MICS and MIDS capstone projects.

How a Student Found Purpose Using Data Science in Journalism

Nov 28, 2022

Second-year MIMS student Ian Castro shares his experience in the new course Digital Accountability: Exploring Section 230, which provided an opportunity for data science students to communicate how technological systems work and what they mean for the public.

Ph.D. Alum Doris Lee Selected For Forbes’ 30 Under 30

Dec 12, 2022

Doris Lee (Ph.D. ’21), who is 26, was featured on Forbes’s “30 Under 30” list for enterprise technology in 2023.

Berkeley Students Use Data Science to Model Air Pollution and Pediatric Health Outcomes

Dec 12, 2022

A team of MIDS students recently presented at the Stanford Maternal & Child Health Research Institute Symposium.

This Is the Worst Time for Donald Trump to Return to Twitter

Nov 20, 2022

Apparently, the people has spoken, and they want former President Donald Trump back on Twitter. However, Hany Farid believes that this would be the worst time for him to return to the social media platform.

MIMS Student Uses Data Science to Develop Eviction Database

Nov 21, 2022

Ian Castro (MIMS ’23) is working with the Eviction Research Network, a project seeking to create an organized database on how evictions are occurring in the United States.

Data for Good Fellowship Recipient Strives to Improve Food Production Systems

Nov 9, 2022

Maria Isabel Navarro Sanchez has been awarded the Fall 2022 Data For Good Fellowship for her work using data science to improve the sustainability of fishing and farming communities.