Information, Communication + Data Science
Roadmap for teachers: U-M free online learning platform paves the way
K-5 teachers and students throughout Michigan are building thriving learning communities online by using free deeply-digital, standards-aligned curricula and platform developed by the U-M Center for Digital Curricula.
Open-source software helps youth with disabilities develop scheduling independence
The system can add more flexibility to task management apps to help learning users make informed decisions about their time.
Computer scientists employ AI to help address COVID-19 challenges
Five multidisciplinary research teams are working on projects to assist with the coronavirus outbreak and to help find solutions to pressing problems.
Researchers to use brain scans to understand gender bias in software development
The team will use fMRI to identify some of the underlying processes that occur when a code reviewer weighs in on a piece of software and its author.
Big data, small footprint
How changing the rules of computing could lighten Big Data’s impact on the internet.
COVE: a tool for advancing progress in computer vision
Centralizing available data in the intelligent systems community through a COmputer Vision Exchange for Data, Annotations and Tools, called COVE.
Shadows in the Dark WebSecrets lurk in the dark web, the 95 percent of the internet that most of us can't see. One U-M professor is bringing some of those secrets to light, making the digital and the real world a little safer.
Google, U-M to build digital tools for Flint water crisis
CSE students and faculty will collaborate as a part of a larger team to help respond to the crisis.
Walter Lasecki and collaborators win Best Paper at W4A
The paper explores how automated speech recognition and crowd-sourced human correction and generation of transcripts can be traded off to improve accuracy and latency.
Michael J. Cafarella selected for Sloan Research Fellowship
He has built software systems for information extraction, database integration, and feature engineering and applied these to problems in the social sciences.
Barzan Mozafari receives NSF CAREER Award to improve predictability of database systems
Prof. Mozafari is passionate about building large-scale data-intensive systems that are more scalable, more robust, and more predictable.
Censys enables fast searching of actionable internet data
The software enables users to ask questions about the hosts and networks that compose the Internet and get an immediate reply.
Michigan Researchers Win Best Paper Award at VLDB 2015
The paper proposes an interactive natural language interface for relational databases, which enables novice users to construct complex queries.