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 Computer Science)

Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science

Recent Publications

A study on the sentiments and psychology of twitter users during COVID-19 lockdown period

Jun 14, 2021

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Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance

May 13, 2021

(Machine) Learning What Policymakers Value

May 10, 2021

A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis

May 5, 2021

Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales

May 1, 2021

A convolutional neural network (CNN) based ensemble model for exoplanet detection

Feb 15, 2021

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

Data Science news

Blumenstock’s Research Cited in Article About How AI Helped to Deliver Aid in Florida

Oct 10, 2022

MIDS Student Uses Data Science in Service of At-Risk Communities

Oct 12, 2022

Lee Gary has been awarded the Summer 2022 Jack Larson Data For Good Fellowship for his work using data science to assist at-risk communities.

Summer 2022 MICS and MIDS Capstone Award Winners

Aug 23, 2022

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

photo of incoming 5th Year MIDS student Noor-Ul-Ain Ali smiling

Fellowship Recipient Aims To Effect Change in Education for Underrepresented Students

Aug 4, 2022

Noor-Ul-Ain Ali, ’22, was chosen to receive the Sharon X. Lin and Andrew R. Bullen Graduate Fellowship in Data Science for 2022–23. This fellowship supports one incoming 5th Year Master of Information and Data Science (MIDS) student who shows a commitment to gender equity within the program.

image of a person on a couch holding a laptop with someone wearing a physician's coat on the screen, and icons indicating a call

UC Berkeley Researchers Use Google Search Data To Examine Interest in At-Home Abortions

May 31, 2022

Berkeley researchers, including Prof. Coye Cheshire, used Google search data to explore interest in at-home abortion and assess its implications.

Dean Chayes: California’s Proposal for New K-12 Math Framework is “Fundamentally Flawed”

May 12, 2022

Jennifer Chayes and Tsu-Jae King author an op-ed for the LA Times: California’s math education needs an update, but not the one proposed.

Ph.D. Student Emma Lurie Recognized for Outstanding Mentorship

Apr 20, 2022

Ph.D. student Emma Lurie is the recipient of a 2022 Outstanding Graduate Student Peer Mentor Award from the UC Berkeley Graduate Division and Graduate Assembly.