Past Offerings
Useful Links
Learning from Evidence (7520): Many legal and policy debates rest on central claims that are either true or false. Does hiring more police officers reduce crime? Does increasing the minimum wage lead to reduced employment? Do risk assessment tools help judges identify defendants with a high recidivism risk? Most of these questions have been studied extensively, but the findings are often conflicting, making it difficult to identify effective solutions to pressing, societal problems. This course is designed to help students evaluate empirical research findings and to distinguish studies that are credible from those that are less credible. We will spend a significant amount of time understanding the markers of strong research designs and how to communicate findings transparently and effectively. The course focuses exclusively on the concepts underlying (social) scientific research, not their inner machinations. Among others, this means that mathematical / statistical training is neither required nor acquired during the course. Everything we will cover will be based on plain language and intuitive, visual aids like figures and charts. Still, those with extensive technical training will sometimes have spent significant time thinking through difficult concepts like causality. To avoid the impact of potential discrepancies in student preparedness, the course is graded as a mandatory pass-fail course. Elements used in grading: Attendance, class participation, written assignments.
Sections
-
2023-2024 WinterSchedule No Longer Available
Learning from Evidence (7520): Many legal and policy debates rest on central claims that are either true or false. Does hiring more police officers reduce crime? Does increasing the minimum wage lead to reduced employment? Do risk assessment tools help judges identify defendants with a high recidivism risk? Most of these questions have been studied extensively, but the findings are often conflicting, making it difficult to identify effective solutions to pressing, societal problems. This course is designed to help students evaluate empirical research findings and to distinguish studies that are credible from those that are less credible. We will spend a significant amount of time understanding the markers of strong research designs and how to communicate findings transparently and effectively. The course focuses exclusively on the concepts underlying (social) scientific research, not their inner machinations. Among others, this means that mathematical / statistical training is neither required nor acquired during the course. Everything we will cover will be based on plain language and intuitive, visual aids like figures and charts. Still, those with extensive technical training will sometimes have spent significant time thinking through difficult concepts like causality. To avoid the impact of potential discrepancies in student preparedness, the course is graded as a mandatory pass-fail course. Elements used in grading: Attendance, class participation, written assignments.
Sections
-
2022-2023 WinterSchedule No Longer Available