Research discoveries often take years to reach routine practice. Implementation science seeks to understand and address this gap by studying how evidence-based interventions can be adopted, implemented, and sustained in real-world settings. In this introductory workshop, Dr. Reisinger will provide an overview of the core concepts, questions, and methods of implementation science, including implementation frameworks, strategies, and outcomes. Participants will also learn about resources available through the University of Iowa Implementation Science Center to support implementation science research, training, and collaboration.

This workshop is an introduction to social network analysis. Participants will discuss core concepts (e.g., density and transitivity) as well as descriptive and inferential techniques, such as community detection, that can be used to understand and analyze networks. All coding will be done in R. Familiarity with R is encouraged but not required to participate in the workshop.

This workshop will cover the fundamental concepts of programming using Python. Using demonstrations and hands-on exercises, participants will learn how to write simple scripts, understand basic syntax, and work with core concepts like variables, loops, and data types. By the end of the session, they will have the foundation and be able to continue exploring Python on their own. The workshop is designed for undergraduate students, graduate students, and staff from non-computer science backgrounds, but anyone with no or limited experience with Python is encouraged to attend. The workshop will use Google Colab, so no software installation is required.