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

Analyzing some elements of technological singularity using regression methods

Jan 2, 2021

Score-Based Classifiers for Welfare-Aware Machine Learning, International Conference on Machine Learning

Dec 10, 2020

Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions

Aug 24, 2020

Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0

Aug 4, 2020

Contextual CNNs to enhance BERT

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

Data Science news

blonde woman holding phone at train station

University of California Researchers Win Grant to Study Misinformation Surrounding Reproductive Health on Social Media

Nov 16, 2023

University of California, Berkeley, School of Information professor Coye Cheshire, along with colleagues at the UC Berkeley School of Social Welfare and UC San Francisco, recently won a $300K grant from the UC Noyce Initiative on computational precision health to study the extent of the problem, and what might be done to combat it.

Summer 2023 MICS and MIDS Capstone Award Winners

Sep 4, 2023

Outstanding MICS and MIDS capstone projects.

Alum Nitin Kohli Wins iSchools Doctoral Dissertation Award for Outstanding Differential Privacy Research

May 30, 2023

Postdoctoral scholar and I School alum Nitin Kohli has been awarded the iSchools Doctoral Dissertation Award for his dissertation, “Leveraging Differential Privacy While Attending to Social and Political Commitments.”

Look for ‘Who’s Not at the Table’ and Other Advice From Female Data Scientists

Mar 14, 2023

Joyce Shen, Dean Jennifer Chayes, and others shared advice at a panel at WiDS Berkeley.

two headshots; one man with child on shoulders, Kevin Lustig; man hiking, Ando Shah

Fellowship Recipients Strive to Use Technology to Understand Climate Change

Mar 21, 2023

Kevin Lustig and Ando Shah have been awarded the 2022–23 Quigley/Heffernan Family Environmental Fellowship.

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.