NSF Org:	SES Divn Of Social and Economic Sciences
Recipient:	VILLANOVA UNIVERSITY IN THE STATE OF PENNSYLVANIA
Initial Amendment Date:	August 30, 2020
Latest Amendment Date:	June 17, 2022
Award Number:	2017495
Award Instrument:	Continuing Grant
Program Manager:	Reginald Sheehan rsheehan@nsf.gov  (703)292-5389 SES  Divn Of Social and Economic Sciences SBE  Direct For Social, Behav & Economic Scie
Start Date:	September 1, 2020
End Date:	August 31, 2024 (Estimated)
Total Intended Award Amount:	$350,000.00
Total Awarded Amount to Date:	$350,000.00
Funds Obligated to Date:	FY 2020 = $68,703.00 FY 2021 = $90,195.00 FY 2022 = $191,102.00
History of Investigator:	Brett Frischmann (Principal Investigator) brett.frischmann@law.villanova.edu Madelyn Sanfilippo (Co-Principal Investigator) Katherine Strandburg (Co-Principal Investigator) Michael Madison (Co-Principal Investigator)
Recipient Sponsored Research Office:	Villanova University 800 E LANCASTER AVE VILLANOVA PA  US  19085-1603 (610)519-4220
Sponsor Congressional District:	05
Primary Place of Performance:	Villanova University 800 Lancaster Avenue Villanova PA  US  19085-1603
Primary Place of Performance Congressional District:	05
Unique Entity Identifier (UEI):	EYNYSU6L8ZX6
Parent UEI:	HJEPRMTQMMR4
NSF Program(s):	Law & Science
Primary Program Source:	01002021DB NSF RESEARCH & RELATED ACTIVIT 01002122DB NSF RESEARCH & RELATED ACTIVIT 01002223DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	9178, 9179
Program Element Code(s):	128Y00
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.075

ABSTRACT

Knowledge commons refer to the institutionalized community governance of sharing, creating, and curating a wide range of intellectual and cultural resources. This project will establish a Research Coordination Network (RCN) designed to build a research community that will advance these scientific principles. In doing so it will aid in the development of empirical and theoretical insights into commons governance of shared knowledge, information, and data resources.

This RCN will assemble researchers from law, the social and behavioral sciences, computer science, and engineering to communicate, coordinate and integrate their research and educational activities across disciplinary and organizational boundaries. Convergence is critical to cross-disciplinary and cross-contextual learning and generalization across disciplines, sectors, cultures, and contexts. The project will facilitate a series of focused working conferences, each organized around a specific subject matter, as well as a convergence conference. The RCN will include convergence of field-building, support of research infrastructure, and dissemination of research knowledge to the public through open access formats.

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.

Please report errors in award information by writing to: awardsearch@nsf.gov.