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 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
Information-intensive innovation: the changing role of the private firm in the research ecosystem through the study of biosensed data
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Sensing is Believing: What People Think Biosensors Can Reveal About Thoughts and Feelings

Data Science news

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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.

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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VentureBeat Covers the Launch of UC Berkeley Founded Data Science Startup Ponder
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MIMS Student Is Passionate About Making Data Literacy Accessible
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Joshua Blumenstock’s Research on Micro-Estimates of Wealth Data Covered by SciDev
South Hall at UC Berkeley is home to the School of Information
UC Berkeley Named #2 Online Master in Data Science Degree

The Master of Information and Data Science (MIDS) program at the UC Berkeley School of Information ranked #2 among online data science master’s degree programs by Fortune magazine, released on January 19, 2022.

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Fortune Magazine Shares Application Strategies for Master of Information and Data Science
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January 2022 Graduation Awards

The School of Information’s January 2022 commencement celebrated outstanding MIDS and MICS capstone projects and faculty and students.