Workshop Schedule

Instructors Emails
Amy Winter awinter at uga dot edu
Matt Ferrari (Penn State University) mjf283 at psu dot edu

General workshop times:

July 14, Monday: 9:00 a.m. - 5 p.m. EDT

July 15, Tuesday: 9:00 a.m. - 5 p.m. EDT

July 16, Wednesday: 9:00 a.m. - 12 p.m. EDT

Important

All times are in local time EDT (Eastern Daylight Time).

Before class

Please see pre-requisites on the course website

Day 01 – Monday

Time Section
9:00 - 9:30am Welcome and Introductions
9:30 - 10am Lecture 1: Introduction to ID Models by Amy Winter
10 - 10:30pm coffee break
10:30am - 11:30 am Lecture 2: Basics of SIR Models by Matt Ferrari
11:30 - 12pm R Session 1: Intro to modeling by Matt Ferrari
12 - 1:30pm lunch on your own
1:30pm - 2:30pm R Session 1: Intro to modeling (continued) by Matt Ferrari
2:30pm - 3pm Lecture 3: Vaccination & Interventions by Matt Ferrari
3pm - 3:30pm Coffee break
3:30pm - 4:00pm Lecture 3: Vaccination & Interventions by Matt Ferrari
4:00pm - 5pm Interactive Session
5pm - 7pm SISMID-wide networking mixer

Day 02 – Tuesday

Time Section
9:00am - 10:00am Lecture 4: Heterogeneity and Age Structure by Amy Winter
10 - 10:30am Coffee Break
10:30 - 12am R Session 2: Heterogeneity and Age structure by Matt Ferrari
12 - 1:30pm lunch on your own / SISMID-wide optional professional development module
1:30 - 2:30pm Lecture 5: Parameter Estimation (estimating \(R_0\)) by Matt Ferrari
2:30 - 3:00pm R Session 3: Parameter estimation by Matt Ferrari
3pm - 3:30pm Coffee break
3:30pm - 4:00pm R Session 3: Parameter estimation by Matt Ferrari
4:00pm - 5pm Group Discussion
5pm - 7pm SISMID-wide social activity

Day 03 – Wednesday

Time Section
9:00am - 10am Lecture 6: Stochastic Models (Lecture and R session) by Matt Ferrari
10am - 10:30am Coffee break
10:30am - 11am Lecture 6: Stochastic Models (Lecture and R session) by Matt Ferrari
11am - 12am Group Discussion and additional topics

Class Ends Noon on Wednesday

Group assignments

  • Each individual should create a slide deck to address each of the following questions for each of the day’s R exercises.
  • Each group should develop consensus slides to present when we come together as a class.
  • Groups will be asked to share their intuition gained.

Questions:

  1. What were the top two take-away messages you gained from this R exercise?
  2. What was the most unexpected/non-intuitive thing you learned from this R exercise?