Schedule

	Setup	Download files required for the lesson
00:00	1. Introductions	Instructor introductions Conceptual introduction Setup Participant intros
03:00	2. Types of multidimensional biodiversity data	What are multidimensional biodiversity data?
04:00	3. Exploring and analyzing an example dataset	How to explore multidimensional biodiversity data? What kinds of analyses can we do with MBD?
07:00	4. Wrangling and analysis of MBD	How to address common challenges in cleaning and synthesizing diverse data streams?
10:00	5. Finding and sharing MBD	Why and how should I curate my data for sharing? Where can I find shared datasets? How should I prepare my data to be shared?
13:00	6. Part 1 wrap up
14:00	7. Introduction to eco-evo process modeling	What is the theoretical/conceptual motivation for process modeling? Overview of process modeling state space Introduction to the RoLE framework
17:00	8. Hands-on with a simulation model	How to run and inspect simulation models? How do we translate biological intuition/curiosity into parameter settings and expected outcomes?
20:00	9. Using process models for inference on simulated data	How do we interpret model outcomes in terms of generative process?
23:00	10. Using process models for inference on empirical data	How do we interpret empirical data using process models?
25:00	11. Reproducible computational workflows	How do we ensure computational workflows are shareable and reproducible?
26:00	12. Part 2 wrap up
27:00	Finish

The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.