NSF Org:	CNS Division Of Computer and Network Systems
Recipient:	GEORGE MASON UNIVERSITY
Initial Amendment Date:	September 10, 2024
Latest Amendment Date:	September 10, 2024
Award Number:	2346334
Award Instrument:	Standard Grant
Program Manager:	Cindy Bethel cbethel@nsf.gov  (703)292-4420 CNS  Division Of Computer and Network Systems CSE  Directorate for Computer and Information Science and Engineering
Start Date:	October 1, 2024
End Date:	September 30, 2027 (Estimated)
Total Intended Award Amount:	$1,383,654.00
Total Awarded Amount to Date:	$1,383,654.00
Funds Obligated to Date:	FY 2024 = $1,383,654.00
History of Investigator:	Antonios Anastasopoulos (Principal Investigator) antonis@gmu.edu
Recipient Sponsored Research Office:	George Mason University 4400 UNIVERSITY DR FAIRFAX VA  US  22030-4422 (703)993-2295
Sponsor Congressional District:	11
Primary Place of Performance:	George Mason University 4400 UNIVERSITY DR FAIRFAX VA  US  22030-4422
Primary Place of Performance Congressional District:	11
Unique Entity Identifier (UEI):	EADLFP7Z72E5
Parent UEI:	H4NRWLFCDF43
NSF Program(s):	CCRI-CISE Cmnty Rsrch Infrstrc
Primary Program Source:	01002425DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s):	735900
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

Language technologies are promising and could have strong impact during disaster responses. they can help to triage text messages in a disaster to determine what aid to provide. Language technologies can translate vast amounts of data related to an ongoing pandemic. Responders can use these technologies to converse with victims during disaster responses. However, advances in language technologies to date are limited. They focus on a few dozen of the more than 6500 languages spoken or signed in the world today. Current language technologies neglect millions of people.  This especially impacts those who are most at risk for experiencing disasters. This project provides an infrastructure for language technology advancements for crisis response. The results will be useful for everyone, no matter the language they speak.

This project builds datasets of crisis communications using dedicated data collections and social media harvesting. These datasets will be applicable to curated crisis scenarios. They will use common language scenarios necessary to communicate with vulnerable populations. This approach helps people for whom language technologies are not typically developed. The project will bring together researchers from different disciplines. These include language technology researchers, experts in disaster relief, linguistics, and human-computer interaction.  The project will target representatives from the local speech communities to take part. To coordinate this effort, the project will organize yearly workshops and shared tasks with the communities.

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.

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