Data Science

Related Faculty

Morgan G. Ames

Morgan Ames

Alumni (MIMS 2006)
Assistant Professor of Practice
Science and technology studies; computer-supported cooperative work and social computing; education; anthropology; youth technocultures; ideology and inequity; critical data science
Daniel Aranki

Daniel Aranki

Assistant Professor of Practice
Predictive medicine; artificial intelligence; machine learning; tele-health; information disclosure; privacy; security.
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David Bamman

Associate Professor
Natural language processing, computational social science, machine learning, digital humanities
Coye Cheshire

Coye Cheshire

Professor
Trust, social exchange, social psychology, and information exchange
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John Chuang

Professor
Biosensory computing; climate informatics; information economics and policy

Recent Publications

Leveraging Differential Privacy While Attending to Social and Political Commitments
Neural Dynamics of a Single Human with Long-Term, High Temporal Density Electroencephalography
AI Cannot Understand Memes: Experiments with OCR and Facial Emotions
Mars weather data analysis using machine learning techniques
Identifying cyber insecurities in trustworthy space and energy sector for smart grids
A study on the sentiments and psychology of twitter users during COVID-19 lockdown period
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Covert Embodied Choice: Decision-Making and the Limits of Privacy Under Biometric Surveillance
(Machine) Learning What Policymakers Value
A novel LSTM–CNN–grid search-based deep neural network for sentiment analysis
Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales

Data Science news

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Blumenstock’s Research Cited in Article About How AI Helped to Deliver Aid in Florida
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Summer 2022 MICS and MIDS Capstone Award Winners

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

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Fellowship Recipient Aims To Effect Change in Education for Underrepresented Students

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. 

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

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

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

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.

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Ph.D. Student Emma Lurie Recognized for Outstanding Mentorship

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.

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Data for Good Recipient Empowers Health Professionals Working With Infectious Diseases

MIDS student Allison Fox has been awarded the Data For Good Fellowship for her work to improve health outcomes in disadvantaged countries. 

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Ph.D. Alum Doris Lee Wants to Democratize Data Science Tools

Her start-up, Ponder, is leading the way with a $7M round of seed financing.

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Forbes Interviews Ph.D. Alum Doris Lee on New Company Ponder
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Mobile Phone Data and Machine Learning Helped Togo Government Provide Assistance

Ph.D. student Emily Aiken and Professor Joshua Blumenstock used mobile phone data and machine learning to quickly and accurately direct the Togolese government’s COVID-19 cash assistance to its poorest residents in a first-of-its-kind study published March 16 in Nature.