Maximizing Data for Problem Solving
To reduce crime and increase quality of life and safety, we need to understand the problems driving this crime. Collecting and analyzing the right data is critical to successful problem solving. This session will cover how teams can identify appropriate data and their sources, collect this data, and then analyze it to create the most effective strategies. We will discuss this in the context of a problem-solving framework. Bring your experience, ideas and willingness to learn and share.
Speaker:
Julie Wartell
Julie Wartell is a Continuing Lecturer and Staff Research Associate in the Department of Urban Studies and Planning at University of California-San Diego. In her researcher capacity, she has worked with the Homelessness Hub at UC San Diego coordinating GIS and data and working with policymakers and NGOs to advance knowledge on homelessness for more effective planning and decision-making. In addition to her work at UCSD, Julie has spent over 25 years conducting applied research on crime prevention and reduction, using geographic information systems for urban and community planning, and breweries and neighborhood change. Julie has authored, co-authored or co-edited over 40 books and articles, including several in peer-reviewed publications.
Materials:
- Introduction to Problem Solving Approach (16:21)
- Data in Problem Solving (11:34)
- Analyzing Data (4:07)
- Crime Pattern Theory (3:16)
- Analysis (19:40)
- Q&A – Elective (9:12)
- View Slides