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

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
Shaping Our Tools: Contestability as a Means to Promote Responsible Algorithmic Decision Making in the Professions
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0

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

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
This Thing Called Fairness: Disciplinary Confusion Realizing a Value in Technology

Data Science news

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

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.

photo of Emma Lurie smiling
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.

Image of Allison Fox
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. 

photo of Doris Lee
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.

photo of Doris Lee
Forbes Interviews Ph.D. Alum Doris Lee on New Company Ponder
photo of Joshua Blumenstock
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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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.