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Short Course Materials for Forecasting for Decision-Making: An Epidemiological & Ecological Perspective

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Overview

Welcome! This repository contains all materials from the Canadian Ecological Forecasting Initiative short course on Forecasting for Decision-Making: An Epidemiological & Ecological Perspective. The course took place at the Fields Institute in Toronto, ON from July 24th - 28th.

In the spirit of having this course be as open as possible, we have put all the course materials here on this GitHub page, including lectures, exercises and forecast modelling materials for three case studies: Infectious Disease Control, Fisheries Management, Water Quality Monitoring. For a description of the course's overall objectives, please see here.

How to Use This Repository

All code and documentation herein is free to use! If you were unable to make it to the course in person, or simply want to go through this material on your own time, please feel free. This repository is structured into 3 main sections.

Lectures

First, is the Lectures folder, where the various lecture materials can be found for the course. These lectures were recorded, and the recording videos can be found on the CEFI website.

first-slide

Here is the course schedule. We suggest you roughly follow along with the order of lectures here.

Schedule

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

Exercises

There are a series of exercises in the Exercises folder for you to work through. Instructions are in the README_EXERCISES.md file in that directory for how to make use of those.

There are a number of exercises that span a couple of programming approaches to the current course content.

Case Studies

Perhaps most importantly, we have our four case studies. A focal point of this course is having students take a case study of interest, and work on building and expanding a forecast for a focal system. In this iteration of the course there are four case studies, one on fisheries, one on water quality, and two on COVID-19. Each of the COVID-19 case studies are from different locations (Ontario and BC respectively) and take slightly different approaches.

There are extensive documentation for each of the case studies in their respective folders, along with troubleshooting tips. Please take the time to read through each case study before starting, as each of them have slightly different software requirements.

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