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.
dbimg_0.jpg

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
chuang2019.jpg

John Chuang

Professor
Biosensory computing; climate informatics; information economics and policy

Recent Publications

A sentiment-based modeling and analysis of stock price during the COVID-19: U- and Swoosh-shaped recovery
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
screen-shot-2019-10-23-at-4.10.23-pm.png
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

Data Science news

photo of Doris Lee
Ph.D. Alum Doris Lee Selected For Forbes’ 30 Under 30

Doris Lee (Ph.D. ’21), who is 26, was featured on Forbes’s “30 Under 30” list for enterprise technology in 2023.

I School headshot Ian Castro
How a Student Found Purpose Using Data Science in Journalism

Second-year MIMS student Ian Castro shares his experience in the new course Digital Accountability: Exploring Section 230, which provided an opportunity for data science students to communicate how technological systems work and what they mean for the public.

I School headshot Ian Castro
MIMS Student Uses Data Science to Develop Eviction Database

Ian Castro (MIMS ’23) is working with the Eviction Research Network, a project seeking to create an organized database on how evictions are occurring in the United States. 

Photo of Hany Farid smiling
This Is the Worst Time for Donald Trump to Return to Twitter

Apparently, the people has spoken, and they want former President Donald Trump back on Twitter. However, Hany Farid believes that this would be the worst time for him to return to the social media platform. 

Headshot of Isa
Data for Good Fellowship Recipient Strives to Improve Food Production Systems

Maria Isabel Navarro Sanchez has been awarded the Fall 2022 Data For Good Fellowship for her work using data science to improve the sustainability of fishing and farming communities.

selfie style photo of Lee Gary
MIDS Student Uses Data Science in Service of At-Risk Communities

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.

photo of Joshua Blumenstock
Blumenstock’s Research Cited in Article About How AI Helped to Deliver Aid in Florida
capstonewinners-aug21-teaser_0.png
Summer 2022 MICS and MIDS Capstone Award Winners

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

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

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