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

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

Impacts of heuristic parameters in PSO inverse kinematics solvers

May 16, 2022

Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples

May 15, 2022

During the pandemic in the United States, there has been considerably more interest in home abortions than in minimally or nonclinically supported self-abortions. As access barriers to in-person abortion care increase due to legal restrictions and COVID-19–related disruptions, individuals may be turning to the internet for information and services on out-of-clinic medication abortions. Google searches allow us to explore timely population-level interest in this topic and assess its implications.

Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications

May 1, 2022

Data Science news

Joshua Blumenstock Addresses Housing Insecurity in the Wake of COVID-19

May 1, 2020

Professor Josh Blumenstock is leading a team that has received a grant to investigate and address eviction spikes and displacement risks related to COVID-19.

Meet Our 2020 Award-Winning Junior Faculty

Apr 29, 2020

Several young faculty have receive presitigous awards and fellowships in 2020: Aditya Parameswaran, Josh Blumenstock and David Bamman.

Ashkan Soltani Joins Electronic Frontier Foundation’s Advisory Board

Mar 23, 2020

Josh Blumenstock Awarded NSF Career Award for ‘Welfare-Centric’ Machine Learning

Mar 18, 2020

The award will support Blumenstock’s work on a new paradigm of algorithmic decision-making that prioritizes social impact.

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.