Predictive Analytics and Neighborhood Health

Using predictive analytics, GovEx helped to keep neighborhoods in Kansas City healthy. Please join us in September to learn about how data science is helping to change government.

Agenda

6:30 PM -- Networking & Food

7:00 PM -- Greetings

7:05 PM -- Predictive Analytics and Neighborhood Health - Matt Pazoles, Chief Data Scientist, GovEx

Location

Shafler Auditorium
Bloomberg Center for Physics and Astronomy
San Martin Dr, Baltimore, MD 21210

The event will be held in the Bloomberg Center (interactive campus map can be found at https://www.jhu.edu/maps-directions/) in the Shafler Auditorium (https://krieger.jhu.edu/pa-intranet/facilities/schafler-auditorium/), which is next to the main entrance on Floor 2.

For parking, the best option is the San Martin Garage near the intersection of San Martin Drive and Bowman Drive. It’s pretty close to the Bloomberg Center. If you walk north up San Martin Drive to the Space Telescope Science Institute, there’s a staircase between the Bloomberg Center and the STSI parking garage that leads you right to the front door.

Talk

Predictive Analytics and Neighborhood Health
After the 2008 recession, Kansas City, MO, experienced waves of unemployment and foreclosures that led many properties to fall into disrepair. Faced with this growing issue during a period of decreased funding, the city’s code enforcement officials were unable to keep up with the workload, creating an enormous backlog and doubling the workload for each inspector. Together with the JHU Center for Government Excellence (GovEx), the city developed an algorithm to predict how long a given violation will take to resolve based on internal and public data that will help inspectors proactively schedule follow-up inspections and connect more serious cases to community programs earlier.

Speakers

Matt is the Chief Data Scientist at the Johns Hopkins University Center for Government Excellence, where he and his team help governments apply data to performance challenges and improve the quality of life of their constituents. Prior to joining GovEx, Matt led the data, GIS, and targeting programs for national and state political campaigns, labor unions, and non-profits as they sought to register, persuade, and motivate voters. He was also the lead GIS analyst for Delaware’s State House of Representatives redistricting project in 2010. Matt can be emailed at pazoles@jhu.edu.

Company

GovEx’s mission is to help governments use data to make informed decisions and improve people’s quality of life. More information can be found at https://govex.jhu.edu

Newsletter

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