Assessing risk assessment in cases of domestic abuse

评估家庭暴力案件中的风险评估

LSE: Public lectures and events

2026-03-26

1 小时 14 分钟
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Domestic abuse affects roughly one-third of women worldwide and carries serious consequences for victims, their children, and society at large. This lecture presents findings from three studies examining the risk assessment process which has been used across England since 2009 to help police identify victims at high risk of serious repeat abuse and connect them with protective services.
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  • Welcome to the LSE events podcast by the London School of Economics and Political Science.

  • Get ready to hear from some of the most influential international figures in the social sciences.

  • Hi everybody, welcome to today's public event lecture.

  • I'm Steve Machen, I'm a professor in the economics department here at LSE and I'm a director of the Centre

  • for Economic Performance also at LSE.

  • I'm really pleased to be here to welcome our speaker.

  • Jeff Gogger and our audience here today and our online audience to be talking in the old theatre.

  • So we're delighted to have Jeff come and give this public lecture.

  • We're particularly delighted because he's here visiting us in the Economics Department and CEP as a visiting professor.

  • And he's also.

  • It got a continuing relationship with us in terms of doing research and policy-related work

  • at the Center for Economic Performance.

  • So Jeff Groger is the Irving Harris Professor in Urban Policy at the Harris School

  • of Public Policy at the University of Chicago.

  • He's written extensively many scholarly articles focusing on a number of.

  • A number of pertinent issues, often surrounding low-income populations, about crime, about immigration, about education,

  • about issues to do with racial inequalities, a lot of issues to do with social problems.

  • Often in the US, but not exclusively so, in terms of his work.

  • He's an applied economist, an applied microeconomist.

  • One of the trailblazers actually in using administrative data amongst economists back in the 1990s,