“A new predictive analytics capability is helping the Equal Employment Opportunity Commission understand the state of employment discrimination during the coronavirus pandemic, according to the agency’s chief data officer.”
“Chris Haffer, EEOC’s chief data officer, said during a Wednesday webinar predictive analytics is new to EEOC, but it’s already helping the agency ensure it has the right personnel in the right places to help prevent or remedy employment discrimination during the economic downturn caused by COVID-19.”
“’We have some preliminary evidence suggesting that we anticipate the number of discrimination charges will increase over the next six to 12 months, triggered by the economic downturn,’ Haffer said.”
“In addition to using data to make these kinds of forecasts, EEOC also is performing a monitoring function during the pandemic. The agency uses data from discrimination charge filings to identify groups of the population that may be at the highest risk for employment discrimination. EEOC is looking at demographic, geographic and industry segment trends as well as trends by type of alleged discrimination to perform this analysis, Haffer said.”
“Haffer added that over the last few years, EEOC has progressed its data practices from simple processing to a much higher level of capability, allowing it to do this kind of predictive analytics work…” Read the full article here.
Source: EEOC Turns to Predictive Analytics to Understand How Pandemic Affects Employment Discrimination – By Mila Jasper, October 1, 2020. Nextgov.