"Managing Marijuana: The Role of Data-Driven Regulation"
Read the article "Managing Marijuana: The Role of Data-Driven Regulation" and the following:
https://ascend.aspeninstitute.org/an-evidence-based-approach-to-child-support/
48.Aspx
Podcast: Privacy and Predictions
1. What did you find most interesting related to the use of data in the articles and podcasts?
2. Collecting information about people is part of any program evaluation. Whether it is a needs assessment (Royse, Thyer, and Padgett) or outcome evaluation, how people need, want, and use a program is of immense interest to a variety of political actors.
Question: What considerations should a program evaluator take to keep the identities of individuals private?
Sample Solution
- The use of data to track the effectiveness of marijuana regulations. The article "Managing Marijuana: The Role of Data-Driven Regulation" discusses how data can be used to track the effectiveness of marijuana regulations in terms of public health, public safety, and economic development. This is an important use of data, as it can help to inform policymakers about the best way to regulate marijuana.
Full Answer Section
- The use of data to improve child support enforcement. The article "An Evidence-Based Approach to Child Support" discusses how data can be used to improve child support enforcement. For example, data can be used to identify non-paying parents, to track the collection of child support payments, and to assess the effectiveness of different child support enforcement programs. This is an important use of data, as it can help to ensure that children receive the financial support they need from their parents.
- The use of data to protect privacy. The podcast "Privacy and Predictions" discusses the use of data to protect privacy. For example, data can be used to develop algorithms that can identify people who are at risk of being victims of identity theft or fraud. This is an important use of data, as it can help to protect people's privacy and financial security.