The investigators will bring together diverse researchers who work in the field of collective and emergent behavior. Collective and emergent behavior is the study of complex biological and social systems, ranging from bacterial colonies to human groups. The hackathon-style workshop draws researchers around identifying best practice mechanisms for sharing data, communicating methods of data analysis, and reusing publicly available data. The investigators propose a series of two workshops where teams of 2-5 participants work on a specific project during the duration of the 3-day event. An objective of the workshop is to foster novel collaborations between researchers in biology, data science, mathematics, computer science and physics, all of whom have an interest in collective behavior.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Agency
National Science Foundation (NSF)
Institute
Division of Advanced CyberInfrastructure (ACI)
Type
Standard Grant (Standard)
Application #
1839022
Program Officer
Martin Halbert
Project Start
Project End
Budget Start
2018-10-01
Budget End
2021-09-30
Support Year
Fiscal Year
2018
Total Cost
$25,000
Indirect Cost
Name
University of Texas Austin
Department
Type
DUNS #
City
Austin
State
TX
Country
United States
Zip Code
78759