WEEK 1

• Informing Practice Using Evaluation Models (Melvin Mark): 3 day course, March 18–20
• Introduction to Data Analysis for Evaluators and Applied Researchers (P. Wesley Schultz): 2 day course, March 18–19
• Monitoring and Evaluation: Frameworks and Fundamentals (Ann Doucette): 2 day course, March 18–19
• Working with Evaluation Stakeholders (John Bryson): 2 day course, March 18–19
• Evaluation Research Methods: A Survey of Quantitative & Qualitative Approaches (Jason T. Siegel): 3 day course, March 20–22
• Introduction to Chat GPT4 for Evaluation and Evaluation Capacity Building (Robert Klitgaard): 2 day course, March 21–22

WEEK 2

• Applied Measurement for Evaluation (Ann Doucette): 3 day course, March 25–27
• Using Research, Program Theory, and Logic Models to Design and Evaluate Programs (Stewart I. Donaldson): 2 day course, March 25–26
• Developmental Evaluation (Michael Quinn Patton): 2 day course, March 27–28
• Introduction to Data Visualization (Alice Feng): 2 day course, March 27–28
• Utilizing Culturally Responsive and Racially Equitable Evaluation (Tracy Hilliard): 3 day course, March 27–29
• Evaluability Assessment (Debra J. Rog): 2 day course, March 28–29
• Applying an Equity Lens to Visualizing and Communicating Data (Alice Feng): 1 day course, March 29
• Utilization-Focused Evaluation (Michael Quinn Patton): 1 day course, March 29