Pandemic! Control a Pandemic Disease before it Runs Rampant
SessionStudent Programming
DescriptionRegister here for the event by creating an account at https://www.designsafe-ci.org/ using your institutional email address prior to 7th November 2022.
Experience a slice of the computational research world, take the role of a computational scientist tasked with understanding a pandemic currently spreading through a community and researching solutions to keep the community safe
The SC22 Student Programming will host a workshop that will introduce students to a slice of that computational research cycle. The workshop will be taught by Charlie Dey and Je’aime Powell from the Texas Advanced Computing Center (TACC).
Computational research begins with an observation of a natural occurrence, then transitions to developing a model which mathematically describes that occurrence, to using advanced computing techniques to solve that model, then generating, verifying, and validating the data against observational data, and repeating the cycle: building and expanding, solving, generating, verifying and validating. The end goal is to build a system, accurately representing a scientific process, which you can run "what if" scenarios against when a real world experiment is not attainable.
It starts with a simple scientific process, using simple probability to get a "person" sick. Then expand that simple process into a computational model to simulate a disease propagating through a set population. Students will be broken into teams and given a set of challenges, requiring the teams to update and expand their computational models to meet.
Experience a slice of the computational research world, take the role of a computational scientist tasked with understanding a pandemic currently spreading through a community and researching solutions to keep the community safe
The SC22 Student Programming will host a workshop that will introduce students to a slice of that computational research cycle. The workshop will be taught by Charlie Dey and Je’aime Powell from the Texas Advanced Computing Center (TACC).
Computational research begins with an observation of a natural occurrence, then transitions to developing a model which mathematically describes that occurrence, to using advanced computing techniques to solve that model, then generating, verifying, and validating the data against observational data, and repeating the cycle: building and expanding, solving, generating, verifying and validating. The end goal is to build a system, accurately representing a scientific process, which you can run "what if" scenarios against when a real world experiment is not attainable.
It starts with a simple scientific process, using simple probability to get a "person" sick. Then expand that simple process into a computational model to simulate a disease propagating through a set population. Students will be broken into teams and given a set of challenges, requiring the teams to update and expand their computational models to meet.
Event Type
Students@SC
TimeSunday, 13 November 20222:30pm - 5:30pm CST
LocationD227
