This repository will contain all materials for the Short Course on Forecasting for Decision-Making: An Epidemiological & Ecological Perspective. The course is in-person and will be hosted at the Fields Institute in Toronto, ON and takes place from July 24th - 28th. The course materials include lectures, exercises and forecast modelling materials for three case studies: Infectious Disease Control, Fisheries Management, Water Quality Monitoring. All course materials will be made available online after July 28th. For a description of the course's overall objectives, please see here.
| Time Slots | Monday | Tuesday | Wednesday | Thursday | Friday | ||
|---|---|---|---|---|---|---|---|
| 9:00 - 10:00 |
Lecture 1 | Topic(s): (1) Introductions & Schedule Overview; (2) Introduction to Forecasting Lead(s): (1) KB, CRF & Instructors; (2) Mike Dietze |
Topic: Bayesian Analysis - Part 2 Instructor: Mike Dietze |
Topic: Model Assessment Instructor: Mike Irvine |
Topic: Delivering Forecasting Models to Decision Makers Instructor: Colin Daniel and Alex Filazzola |
Topic: OCAP Training Part 1 Instructor: OCAP |
|
| 10:00 - 10:20 |
Coffee Break | ||||||
| 10:20 - 11:20 |
Lecture 2 | Topic: Introduction to the Modelling Landscape Instructor: Irena Papst |
Topic: Reproducibility & Transparency Instructor: Mike Irvine |
Topic: Combining Fish Population Forecasting with Fisheries Management: an Introduction to Management Strategy Evaluation (MSE) Instructor: Brooke Davis |
Topic: Experiences Building Collaborations and Bridging Communication Instructor: Brooke Davis + Other Instructors |
(1) Group Work: Finalize Presentation (2) Overview of NEON Ecological Forecasting Challenge Lead: (2) Quinn Thomas |
|
| 11:20 - 11:30 |
Break | ||||||
| 11:30 - 12:30 |
Extra Practice or Lecture 3: |
Topic: Bayesian Analysis - Part 1 Instructor: Mike Dietze |
Exercise 2: Paired Coding Lead: Mike Dietze |
Exercise 3: MSE Exercise Lead: Brooke Davis |
Topic: Decision Analysis in Health Instructor: Beate Sander |
Group Work: Finalize Presentation Closing Remarks |
|
| 12:30 - 1:30 |
Lunch | ||||||
| 1:30 - 3:00 |
Extra Practice or Lecture 3: |
Exercise 1: Introduction to Bayesian Analysis Lead(s): Mike Dietze + Mike Irvine |
Topic(s): (1) Code Review Example; (2) Propagating, Analyzing, & Reducing Uncertainty Instructor: Mike Dietze + Irena Papst |
Group work | Exercise 4: Writing Lay Summaries Exercise Lead: Korryn Bodner and Carina Rauen Firkowski |
Group Project Presentations Part 1 |
|
| 3:00 - 3:20 |
Coffee Break | ||||||
| 3:20 - 5:30 |
Group Work | Case Study Introductions (30 mins) Case Study Overviews (in small groups) Lead(s): All Instructors |
Group work | Group work | Group work | Group Project Presentations Part 2 End at 3:50pm |
|
| 6:00 - 8:00 |
Group Dinner |