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Purdue Global launches free COVID-19 contact tracing class

by Betsy Foresman • 1 month ago

The online course will train students in contact-tracing protocols, legal requirements, effective risk communication and how to analyze collected data.

As learning moves online, higher ed needs more data insights

by EdScoop Staff • 1 month ago

Universities need tools to better aggregate and collect data around their services — and in turn, make distance learning more effective, says a Splunk white paper.

Bellevue University starts fully online data science degree program

by Betsy Foresman • 1 month ago

As demand for employees with skills in data science rises, Bellevue University in Nebraska announces a new program that focuses on using "data to tell a story."

UCLA model predicts U.S. COVID-19 cases will peak June 1

by Betsy Foresman • 1 month ago

As one of 13 prediction models used by the CDC, UCLA's machine-learning tool can help measure the efficacy of public policies like stay-at-home orders.

U. North Texas students model COVID-19 spread using AI

by Betsy Foresman • 2 months ago

Thirty teams at UNT are among 400 teams participating in Kaggle's COVID-19 Global Forecasting challenge.

AI can help higher ed, but biased data can harm, warns data scientist

by Betsy Foresman • 2 months ago

Algorithms help predict how students, faculty and institutions can succeed, but the data they rely on can harm stakeholders, data scientist Cathy O'Neil said during a recent online conference.

U. Arizona launches text-message system for coronavirus screening

by Betsy Foresman • 2 months ago

The new platform, called AZCOVIDTXT, asks users to report the health conditions of household members and directs them to resources as needed.

UC Irvine tracks coronavirus infections through new mobile app

by Betsy Foresman • 2 months ago

By tracking users' movements, the app can alert individuals who may have come in contact with the virus.

U. Maryland's new coronavirus tool grades social distancing efforts

by Jake Williams • 3 months ago

Anonymized and aggregated location data from mobile devices shows how well people in each state are complying with stay-at-home orders.