Lightning Round Breakout Sessions
Designing Low-Resource Program Evaluations, Wyatt Beckman
Evaluation is key to understanding and informing non-profit programs and services but can be challenging for small and low-resource nonprofits. This session will walk through key components of program evaluation, helping participants build a foundation for their own evaluation efforts.
Generative AI: Opportunities to Leverage for Everyday Work, Tatiana Lin
Artificial Intelligence has been around for many years but gained widespread attention with the launch of OpenAI’s ChatGPT in 2022. This session will explore how ChatGPT can be leveraged to support and enhance a wide range of tasks within nonprofit organizations. Beyond just exploring its potential, we’ll tackle important ethical questions and offer participants a hands-on opportunity to learn how this tool can make meaningful impact on their work.
Transforming Data into Actionable Insights, Wen-Chieh Lin
Ever find yourself searching for data? Or are you being overloaded with data and trying to find a way to synthesize the information? Join us to explore health data sources and turn them into actionable insights! Bring your data and your questions. Share your experience with us!
Practical Strategies for Integrating Equity in Your Work, Sheena Schmidt
Learn about practical strategies for incorporating equity into your work! The strategies are based on guides developed by KHI and stakeholders across Kansas. Whether it is understanding how to include lived experience in programs, or ensuring research is inclusive, these checklists provide a blueprint for doing so!
Legislative Monitoring: Keeping Up with Health Legislation, Linda Sheppard
Every year the Kansas Legislature considers many health-related bills and listens to testimony from a wide variety of voices. During this session, participants will have a chance to hear about the value of legislative monitoring and learn about a few tools and techniques so your organization can stay informed and contribute in the policymaking process.