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

Blumenstock Works With Togo Government to Identify and Deliver Aid to People in Need

Feb 5, 2021

Joshua Blumenstock has worked closely with top government officials in Togo to develop an advanced data-driven system for identifying people in need and delivering financial aid.

Blumenstock’s AI Work Brings Cash Aid to Rural Residents in Togo

Feb 15, 2021

Dean Jennifer Chayes Dedicated to Advancing Diversity in Computing

Jan 27, 2021

Summer and Fall 2020 MIDS and MICS Award Winners

Feb 3, 2021

Outstanding MICS and MIDS capstone projects, and distinguished teaching awards.

Data For Good Fellowship Recipient Wants to Empower Rural Healthcare Providers with AI

Jan 21, 2021

Mahdieh Taher (MIDS ’20) has been awarded the Jack Larson Data for Good Fellowship for her work as a data engineer dedicated to improving medical diagnoses in rural areas.

Blumenstock’s Research Brings Cash Aid to to Togo’s Poorest

Dec 11, 2020

Charity Worked with Josh Blumenstock to Identify Aid Recipients in Togo Using Mobile Phone Data

Dec 11, 2020

Jennifer Chayes at NeurIPS ’20: ML Community Must Work With Interdisciplinary Experts

Dec 14, 2020

Prof. Blumenstock’s Technology Brings Covid Aid to Togo

Dec 17, 2020