Data Science

Related Faculty

Morgan G. Ames
Assistant 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
Daniel Aranki
Assistant Professor of Practice
Predictive medicine; artificial intelligence; machine learning; tele-health; information disclosure; privacy; security.
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Associate Professor
Natural language processing, computational social science, machine learning, digital humanities
Coye Cheshire
Professor
Trust, social exchange, social psychology, and information exchange
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Professor
Biosensory computing; climate informatics; information economics and policy
Photo of Aditya Parameswaran
Associate Professor (I School and Computer Science)
Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science

Recent Publications

teaser image of book cover - O'Reilly Media - 97 Things About Ethics Everyone in Data Science Should Know
Aug 2, 2020

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.

Feb 13, 2018

This essay explores the changing significance of gender in fiction, asking especially whether its prominence in characterization has varied from the end of the eighteenth century to the beginning of the twenty-first. The authors found that while gender roles were becoming more flexible, the space actually allotted to (real, and fictional) women on the shelves of libraries was contracting sharply.

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Data Science news

5 women seated on chairs on a stage and one woman at a podium. Behind them is a projected slide reading "data science for science" with the Women in Data Science Berkeley logo

Joyce Shen, Dean Jennifer Chayes, and others shared advice at a panel at WiDS Berkeley.

two headshots; one man with child on shoulders, Kevin Lustig; man hiking, Ando Shah

Kevin Lustig and Ando Shah have been awarded the 2022–23 Quigley/Heffernan Family Environmental Fellowship.

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Outstanding MICS and MIDS capstone projects.

I School headshot Ian Castro

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.

photo of Doris Lee

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

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A team of MIDS students recently presented at the Stanford Maternal & Child Health Research Institute Symposium.

Photo of Hany Farid smiling

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. 

I School headshot Ian Castro

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. 

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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.

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