News: Corrections Prisons Justice
More than 60 people attended each of four recent Town Hall meetings on key election issues with University of Wisconsin–Madison faculty members. The meetings in Appleton, Madison, Milwaukee, and suburban St. Paul, Minnesota, were sponsored by UW–Madison’s La Follette School of Public Affairs and Department of Political Science along with the Wisconsin Alumni Association.
Wisconsin Attorney General Brad Schimel named Peter Tempelis (MPA, JD ’06) an assistant attorney general in the Medicaid Fraud Control & Elder Abuse Unit of the Wisconsin Department of Justice.
La Follette School of Public Affairs alum Peter Tempelis is Wisconsin’s 2015 Assistant District Attorney of the year.
The Wisconsin District Attorneys Association presented a plaque to La Follette School student Scott Wood April 10 to recognize his contributions to the interests of justice and public safety in Wisconsin.
An analysis by La Follette School students that could help the state of Illinois reduce its corrections costs is available online as a working paper.
Rather than being incarcerated, at-risk teen boys are learning how to grow and sell organic vegetables, practice good financial skills, and market and sell products, thanks in part to Katie Herrem's work with the Wisconsin Department of Corrections.
Two dozen La Follette School students descended on Chicago November 6 for a whirlwind career exploration visit, the second such event sponsored by the school in the past year.
Twenty-nine La Follette School students are going to Chicago on Thursday, November 6, for a career development visit that culminates with an alumni reception from 5:30 to 7 p.m. at the Chicagoland Chamber of Commerce in the Wrigley Building, Suite 900, 410 N. Michigan Avenue.
La Follette School student Sierra Fischer is promoting strong and safe communities by helping the National Council on Crime and Delinquency calculate how many probation and parole agents, supervisors and support staff are needed at the Wisconsin Department of Corrections and predict future workload demand.