Data Science

Related Faculty

Morgan G. Ames

Morgan Ames

Associate 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
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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
Climate informatics; biosensory computing; incentive-centered design

Recent Publications

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
A convolutional neural network (CNN) based ensemble model for exoplanet detection
Analyzing some elements of technological singularity using regression methods
Score-Based Classifiers for Welfare-Aware Machine Learning, International Conference on Machine Learning

Data Science news

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.

Emily Aiken, doctoral student at the UC Berkeley School of Information
How AI Helped Deliver Cash Aid to Many of the Poorest People in Togo

Governments and humanitarian groups can use machine learning algorithms and mobile phone data to get aid to those who need it most during a humanitarian crisis, we found in newly published research.

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Nature Podcast: How AI Helped the Government of Togo Distribute Financial Aid.

On the Nature Podcast, Professor Blumenstock discusses his research using machine learning to help deliver aid to Togo’s poorest citizens. 

Niloufar Salehi
I School Researchers Are Using ML and AI to Explore Improvements in Medical Translation
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VentureBeat Covers the Launch of UC Berkeley Founded Data Science Startup Ponder