Computation Modeling

Training for Students and Professionals

1st Annual Computational Modeling Workshop

May 15 - 19, 2017

Our workshop is designed to introduce students and health professionals to the emerging field of quantitative modeling as it relates to the dynamics of infectious diseases. Through a combination of lecture and laboratory practicums, students are exposed to the advanced techniques of statistics, computer science, and mathematics to help them frame biological questions in mathematical parlance, embark on analyses of these models, and work with a diverse array of data using advanced computational methods. Upon completion, attendees should be able to:

 

  • Write code in R to perform research analysis
  • Create reproducible workflows
  • Extend understanding through independent study using web-based resources
  • Express hypotheses as mathematical models
  • Manipulate and analyze diverse data types

 

Participants may choose to register for one or both of our two-and-a-half day modules:

 

  • Introduction to Scientific Programming
  • Modeling Infectious Diseases

 

Enrollment is open to the public for a fee (see below). To register, please click on the button to your right. Complete information regarding registration deadlines, payment options, and our cancellation policy are also detailed there.

Modules

Schedule & Location

Instructors

Tuition & Registration

Module I: Introduction to Scientific Programming

 

Monday, May 15-Tuesday, May 16 from 8:00-5:00 and

Wednesday, May 17 from 8:00-12:00

Location: Warnell School of Forestry and Natural Resources | Computer lab 201

Instructor(s): John Drake and Andrew Park

 

This module introduces the principles and practice of scientific computing with special emphasis on analysis of infectious disease data. Programming will be done in R. Students will be taught how to create reproducible research documents using R and R Markdown and to use git/Github for collaborative and individual projects. An introduction to scientific programming will teach basic operations and classes of base R, installation and use of R packages, data import and transformation, flow control with loops, writing functions, calculating summary statistics, data visualization, and basic mapping. The module will alternate between lectures and computer labs.

 

Background Reading (optional): Hadley Wickham and Garret Grolemund. R for Data Science. 2017. O’Reilly. Online. http://r4ds.had.co.nz/

 

Module II: Modeling Infectious Diseases

 

Wednesday, May 17 from 1:00-5:00 and

Thursday, May 18 - Friday, May 19 from 8:00-5:00

Location: Warnell School of Forestry and Natural Resources | Computer lab 201

Instructor(s): John Drake and Pejman Rohani

 

This module covers the principles of dynamic models of infectious diseases. The module will focus on the dynamics of compartmental models such as the susceptible-infected-recovered (SIR) model and variants (SI,SIRS, and SEIR). Topics include incorporating different types of heterogeneities in transmission (resulting from age-structure, behavior or, seasonality), exact stochastic birth-death models, sensitivity analysis, and fitting of simple models to data. The module will alternate between lectures and computer labs. Programming will be done in R.

 

Background Reading (optional): Matt J. Keeling and Pejmani Rohani. Modeling Infectious Diseases in Humans and Animals. 2007. Princeton University Press.

The workshop will be held at the Warnell School of Forestry and Natural Resources | Computer lab 201 |

180 E Green Street, Athens, GA 30602

Introduction to Scientific Programming - Module One

Monday, May 15

    8:00 – 12:00: Instruction

    12:00 – 1:00: Lunch break

    1:00 – 5:00: Instruction

 

Tuesday, May 16

    8:00 – 12:00: Instruction

    12:00 – 1:00: Lunch break

    1:00 – 5:00: Instruction

 

Wednesday, May 17

    8:00 – 12:00: Instruction -

             End of Module One

    5:30 – 7:00: Workshop Reception (Odum School of Ecology)

Modeling Infectious Diseases - Module Two

Wednesday, May 17

    1:00 - 5:00: Instruction

    5:30 - 7:00: Workshop Reception (Odum School of Ecology)

 

Thursday, May 18

    8:00 – 12:00: Instruction

    12:00 – 1:00: Lunch break

    1:00 – 5:00: Instruction

 

Friday, May 19

    8:00 – 12:00: Instruction

    12:00 – 1:00: Lunch break

    1:00 – 5:00: Instruction -

           End of Module Two

 

John Drake

John M. Drake is a Professor of Ecology and the Director of the Center for the Ecology of Infectious Diseases at the University of Georgia. His research seeks to understand the dynamics of biological populations and epidemics, focusing on how to bring experimental and observational data together with mathematical theory.

Lab Website

Courses Led: Modeling Infectious Diseases and Introduction to Scientific Programming

Andrew Park

Andrew Park is an Associate Professor of Ecology and Infectious Diseases at the University of Georgia. He develops theory to explain and predict population and evolutionary biology of host-parasite interactions.

Lab Website

Courses Led: Introduction to Scientific Programming

Pej Rohani

Pej Rohani is a Professor of Ecology and Infectious Diseases at the University of Georgia. His research is focused on using mathematical and computational approaches to study the population biology of infectious diseases.

Lab Website

Courses Led: Modeling Infectious Diseases

Fee Structure

 

For all non-UGA students, postdocs, and faculty, please refer the the pricing key below to determine your price point.

Academic/Gov't

Early

Regular

$655*

$505

$605

$755

General Registration

*Each amount listed above is per module.

Travel and Accommodations

 

For information regarding accommodations, transportation, directions, and local eateries, please see our PROGRAM GUIDE.

General Questions

 

For immediate assistance, please contact us directly at IDEAS@uga.edu.

Registration

 

  • UGA graduate students: please use Athena to register. The CRN for Module I (Intro to Scientific Programming) is 59511. The CRN for Module II (Modeling Infectious Disease) is 59512. If you experience any registration difficulties, contact IDEAS@uga.edu. Please provide your 810/811 number to expedite your request.
  • UGA faculty and postdocs: please contact IDEAS@uga.edu directly to reserve
  • your slot.
  • Non-UGA participants: please register through the UGA's eStore.

Policies

 

Early registration deadline: April 24, 2017 at 11:59 PM

 

Cancellation Policy:

 

  • Cancellations made on or before May 1 will be subject to a $25 processing fee.
  • Cancellations made after May 1 will be subject to a $200 processing fee.
  • Pre-registrants who fail to attend are liable for the full registration fee.

 

You may substitute another person in your place. However, you must contact our office if you would like to arrange for a substitute.

 

If the program is cancelled by the University of Georgia, you will receive a 100% refund. However, The University of Georgia will not be responsible for any cancellation changes or charges assessed by airlines, travel agencies, or third party entities related to your travel plans.

 

If you are using an international credit card, please notify your card issuer that you will be authorizing a charge in the United States BEFORE registering online.

 

For registration assistance, please contact the IDEAS administrative office at (706) 542-1930 or email us at IDEAS@uga.edu.

 

From byte to benchtop to biosphere