Award Abstract # 1838955
Encouraging Data Sharing and Reuse in the Field of Collective Behavior through Hackathon-Style Collaborative Workshops

NSF Org: OAC
Office of Advanced Cyberinfrastructure (OAC)
Recipient: NEW JERSEY INSTITUTE OF TECHNOLOGY
Initial Amendment Date: August 30, 2018
Latest Amendment Date: August 30, 2018
Award Number: 1838955
Award Instrument: Standard Grant
Program Manager: Martin Halbert
OAC
 Office of Advanced Cyberinfrastructure (OAC)
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: October 1, 2018
End Date: September 30, 2020 (Estimated)
Total Intended Award Amount: $24,997.00
Total Awarded Amount to Date: $24,997.00
Funds Obligated to Date: FY 2018 = $24,997.00
History of Investigator:
  • Simon Garnier (Principal Investigator)
    garnier@njit.edu
  • Jason Graham (Co-Principal Investigator)
Recipient Sponsored Research Office: New Jersey Institute of Technology
323 DR MARTIN LUTHER KING JR BLVD
NEWARK
NJ  US  07102-1824
(973)596-5275
Sponsor Congressional District: 10
Primary Place of Performance: New Jersey Institute of Technology
NJ  US  07102-1982
Primary Place of Performance
Congressional District:
10
Unique Entity Identifier (UEI): SGBMHQ7VXNH5
Parent UEI:
NSF Program(s): NSF Public Access Initiative
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7556
Program Element Code(s): 741400
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

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.

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The objective of this project was to create new collaborative workgroups to bring together researchers working 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. It is a highly interdisciplinary field of research that integrates elements of animal behavior, sociology, statistical physics, mathematics, and computer science. The investigators organized five workgroups composed of four to six participants that were invited to participate in a 3-day hackathon-style workshop at Pioneer Works (Brooklyn, NY), a non-profit organization dedicated to promoting the intersection between art, technology, and science. The participants were nine graduate students (two of them led a group), six postdoctoral researchers (two of them led a group), four early-career researchers, four senior faculty, one engineer, and one artist (forty percent were women). In order to foster novel collaborations, most group members were coming from different disciplines and had never worked together. Moreover, with the exception of the group leaders, the other participants had little to no prior experience working on the specific research topic of their workgroup. Out of the five teams, four made significant progress during the workshop, and 69% of the participants who answered our post-workshop survey considered that the workshop was highly likely to initiate new collaborations. These four teams are still working towards exploiting and publishing the results of the collaboration initiated at the workshop. The investigators also attempted to organize a second workshop at UT Austin with a new set of workgroups but restrictions on travels and in-person meetings caused by the COVID-19 pandemic forced the cancellation of the event before the end of the grant period.


Last Modified: 08/17/2021
Modified by: Simon Garnier

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