Award Abstract # 2031052
RAPID: Collaborative Research: Providing useable COVID-19 health information to linguistically underserved people

NSF Org: BCS
Division of Behavioral and Cognitive Sciences
Recipient: UNIVERSITY OF NORTH TEXAS
Initial Amendment Date: May 18, 2020
Latest Amendment Date: January 25, 2022
Award Number: 2031052
Award Instrument: Standard Grant
Program Manager: Jorge Valdes Kroff
jvaldesk@nsf.gov
 (703)292-7920
BCS
 Division of Behavioral and Cognitive Sciences
SBE
 Directorate for Social, Behavioral and Economic Sciences
Start Date: May 15, 2020
End Date: August 31, 2023 (Estimated)
Total Intended Award Amount: $85,774.00
Total Awarded Amount to Date: $85,774.00
Funds Obligated to Date: FY 2020 = $26,241.00
History of Investigator:
  • Shobhana Chelliah (Principal Investigator)
    schellia@iu.edu
  • Sara Champlin (Co-Principal Investigator)
  • Shobhana Chelliah (Former Principal Investigator)
  • Sara Champlin (Former Principal Investigator)
  • Sara Champlin (Former Co-Principal Investigator)
Recipient Sponsored Research Office: University of North Texas
1112 DALLAS DR STE 4000
DENTON
TX  US  76205-1132
(940)565-3940
Sponsor Congressional District: 13
Primary Place of Performance: University of North Texas
1155 Union Circle #305250
Denton
TX  US  76203-5017
Primary Place of Performance
Congressional District:
13
Unique Entity Identifier (UEI): G47WN1XZNWX9
Parent UEI:
NSF Program(s): Linguistics
Primary Program Source: 010N2021DB R&RA CARES Act DEFC N
Program Reference Code(s): 1311, 7914, SMET, 096Z
Program Element Code(s): 131100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.075
Note: This Award includes Coronavirus Aid, Relief, and Economic Security (CARES) Act funding.

ABSTRACT

This project uses language documentation methodology to explore effective communication of COVID-19 health-related information to linguistically underserved populations in the US. Such communities may not have access to reliable health information in their native languages. Researchers can translate information from English into other languages, but translation alone cannot ensure information is presented in ways that are culturally appropriate and therefore maximally effective. The future path and possible resurgence of this pandemic remains unknown, so it is critical to learn about group health perceptions and behaviors in order to create best practices for developing critical informational materials for these underserved populations. Scientific investigation of languages for these populations provides the bridge between health information and cultural context.

Linguists and health information experts will work with a linguistically underserved community to collect personal and group reflections, eliciting highly emotive connected speech on topics rarely collected in language documentation projects. The collected speech samples will potentially include rare vocabulary, idioms, ritual language, songs, and remembered practices that underlie beliefs and motivate health behavior. In-language interviews will be conducted by first-generation native speakers who are undergraduate students and community members. The project will create: (1) video-conferencing technology protocols for language documentation fieldwork; (2) a unique corpus of interlinear glossed texts (personal accounts, interviews, conversations) on health and wellness which can be used in future linguistic research; and (3) increased understanding of health literacy in the community. We aim to contribute to the development of broader best practices for health communication message design to underserved communities, especially during time-sensitive scenarios, as is the case with the current rapidly-changing pandemic. The documentary methods and resulting informational materials can be replicated for other non-English speaking groups within the US and internationally. All materials, including a corpus of interlinear glossed texts, will be archived and publicly-accessible at the University of North Texas Digital Library.

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.

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