Improve Society Using Risk and Insurance

<p>Joan Schmit, professor of risk and insurance at the Wisconsin School of Business, talks about risk management in business. As the program lead of Creative Destruction Lab-Wisconsin Risk Stream (CDL Risk), Professor Schmit discusses the objectives of the program, and gives examples of how connecting mentors and entrepreneurs through it is helping to improve society.</p><p><i><strong>In this episode, you’ll learn:</strong></i></p><p><strong>7:58</strong> What’s the role of startups and founders in shaping the future of risk management</p><p><strong>13:18</strong> Benefits of CDL Risk mentorship to entrepreneurs focused on risk and insurance</p><p><strong>17:56</strong> How can you participate in CDL’s mentorship program? Who are the mentors?</p><p><strong>Non-profit</strong> organization that Joan is passionate about: <a href="https://wck.org/?utm_source=the-sure-shot-entrepreneur-podcast&utm_medium=Episode-89&utm_campaign=risk-and-insurance">World Central Kitchen</a></p><h3>About Guest Speaker</h3><p>Professor Joan Schmit holds the American Family Insurance Distinguished Chair in Risk Management and Insurance at the University of Wisconsin, Madison, where she has been on the faculty since 1988. Professor Schmit has published extensively in insurance and legal journals. Among her areas of expertise include insurance regulation, microinsurance, reputation risk, enterprise risk management, and the interaction of law and economics in an insurance and risk management context. She is a lead with the Creative Destruction Lab-Risk, focusing on the Risk stream. With a goal of “transforming society’s ability to manage risk,” the stream is designed for seed-stage organizations with ventures focused on risk.</p><h3>About Creative Destruction Lab</h3><p><a href="https://creativedestructionlab.com/?utm_source=the-sure-shot-entrepreneur-podcast&utm_medium=Episode-89&utm_campaign=risk-and-insurance">Creative Destruction Lab</a> is a nonprofit organization that delivers an objectives-based program for massively scalable, seed-s