Data Science

Related Faculty

Morgan 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.

David Bamman

Associate Professor

Natural language processing, computational social science, machine learning, digital humanities

Coye Cheshire

Professor

Trust, social exchange, social psychology, and information exchange

John Chuang

Professor

Biosensory computing; climate informatics; information economics and policy

Aditya Parameswaran

Associate Professor (I School and EECS)

Data management, interactive or human-in-the-loop data analytics, information visualization, crowdsourcing, data science

Recent Publications

Application of NLP in total joint arthroplasty: opportunities and challenges

Aug 21, 2023

An overview of machine learning in orthopedic surgery: an educational paper

Aug 18, 2023

Differential Privacy for Black-Box Statistical Analyses

May 22, 2023

Monkeypox Outbreak Analysis: An Extensive Study Using Machine Learning Models and Time Series Analysis

Mar 30, 2023

Survivability of industrial internet of things using machine learning and smart contracts

Mar 1, 2023

SDN and application layer DDoS attacks detection in IoT devices by attention‐based Bi‐LSTM‐CNN

Mar 1, 2023

A transfer learning approach for detecting offensive and hate speech on social media platforms

Feb 2, 2023

Time series analysis and anomaly detection for trustworthy smart homes

Sep 11, 2022

Exchange and the Creation of Trust and Solidarity across Cultures

Sep 6, 2022

Mitigating bias in radiology machine learning: 2. Model development

Aug 23, 2022

Data Science news

Jennifer Chayes, Hany Farid Named 2020 Spark + AI Summit Keynote Speakers

Feb 3, 2020

David Bamman Awarded NSF Career Award

Mar 6, 2020

Assistant Professor David Bamman was honored for for his research designing computational methods for natural language processing for fiction.

Aditya Parameswaran Awarded Sloan Research Fellowship

Feb 12, 2020

The Sloan Research Fellowship is given to the brightest up-and-coming scientists in the United States.

Chris Hoofnagle Explains Shoshana Zuboff’s ‘Surveillance Capitalism’

Dec 11, 2019

“Data for Good” Fellowship Awardee Fights Climate Change with Data Science Communications

Nov 6, 2019

MIDS student Ben Arnoldy has been awarded the Fall 2019 Jack Larson Data Science for Good Fellowship for his work involving the use of data science to educate the public on climate change and pollution.

Zach Pardos is Using Machine Learning to Broaden Pathways from Community College

Sep 30, 2019

Assistant Professor Zachary Pardos and his team have developed a machine learning approach that promises to help more community college students position themselves to transfer and succeed at four-year colleges and universities.

Parameswaran accepts the 2019 VLDB Early Career Research Contributions Award.

Democratizing Data Science: Parameswaran Receives the 2019 VLDB Award

Sep 27, 2019

Assistant professor at the Berkeley School of Information, Aditya Parameswaran, has been awarded the 2019 Very Large Data Bases Early Career Award.

Santamaria Ots locating cities in need of relief supplies.

“Data for Good” Fellowship Awardee Aims to Empower Puerto Rican Citizens

Sep 18, 2019

In the summer of 2019, Daniel Santamaria Ots received the Jack Larson Data for Good Fellowship for his research in Puerto Rico.

Marti Hearst is a 2019 Bloomberg Data Science Research Grant Winner

Jun 11, 2019

Professor Marti Hearst is one of six recipients of a Bloomberg Data Science Research Grant for research on Unsupervised Abstractive News Summarization.

Josh Blumenstock Uses Phone Data to Reveal Socioeconomic Status

Feb 23, 2019