Abstract & Details
Description
Award ID: 2311182
The broader impact/commercial potential of this I-Corps project is the development of an interactive, online platform that conducts patient-led, interviewer-free, contact tracing interviews (CTI). Contact tracing is a well-established public health measure used to contain the spread of contagious diseases such as HIV, Ebola, and COVID. In its current state, interviewer-led contact tracing is costly, inefficient, and results in the omission of potentially infectious contacts, allowing the continued spread of disease. The proposed technology takes well-established, empirically validated psychological approaches from cognitive and social psychology that bolster recall and applies them to public health. This new application of existing psychological approaches to CTIs may increase interview yield by 50%. In addition, the proposed tool may be used to span multiple infectious diseases and may quickly conform to the parameters of any infectious disease and any language. This I-Corps project is based on the development of a digital platform that applies cognitive psychological techniques to improve contact tracing to combat the spread of contagious disease. The proposed digital platform removes the interviewer from the contact tracing interview without a loss of efficiency. Self-led interviews empower patients to choose the time, place, and pace of the interview. The result is fewer contacts forgotten, rapid results, and cost savings as the technology facilitates data collection through technologically driven distribution channels without hiring, training, and compensating contact tracers. In addition, the proposed platform also uses natural language processing and artificial intelligence to aggregate the data and detect patterns in contagious outbreaks. Prior research reveals that the psychological methods utilized in the proposed technology help increase the amount of information that interviewees may recall, thus helping better inform decision-making by businesses and government entities. 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.
NSF Program Director: Ruth Shuman
The broader impact/commercial potential of this I-Corps project is the development of an interactive, online platform that conducts patient-led, interviewer-free, contact tracing interviews (CTI). Contact tracing is a well-established public health measure used to contain the spread of contagious diseases such as HIV, Ebola, and COVID. In its current state, interviewer-led contact tracing is costly, inefficient, and results in the omission of potentially infectious contacts, allowing the continued spread of disease. The proposed technology takes well-established, empirically validated psychological approaches from cognitive and social psychology that bolster recall and applies them to public health. This new application of existing psychological approaches to CTIs may increase interview yield by 50%. In addition, the proposed tool may be used to span multiple infectious diseases and may quickly conform to the parameters of any infectious disease and any language. This I-Corps project is based on the development of a digital platform that applies cognitive psychological techniques to improve contact tracing to combat the spread of contagious disease. The proposed digital platform removes the interviewer from the contact tracing interview without a loss of efficiency. Self-led interviews empower patients to choose the time, place, and pace of the interview. The result is fewer contacts forgotten, rapid results, and cost savings as the technology facilitates data collection through technologically driven distribution channels without hiring, training, and compensating contact tracers. In addition, the proposed platform also uses natural language processing and artificial intelligence to aggregate the data and detect patterns in contagious outbreaks. Prior research reveals that the psychological methods utilized in the proposed technology help increase the amount of information that interviewees may recall, thus helping better inform decision-making by businesses and government entities. 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.
NSF Program Director: Ruth Shuman
| Status | Closed |
|---|---|
| Effective start/end date | 05/01/23 → 04/30/25 |
Funding
- I-Corps Teams: $50,000.00
Active Fiscal Year
- FY2024
- FY2023
- FY2025
Start Fiscal Year
- FY2023
TIP Programs
- I-Corps Teams
Key Technology Areas
- Artificial Intelligence
- (confidence score: 94%)
Technology Foci
- Artificial Intelligence (excluding ML)
- (confidence score: 88%)
Congressional District at Award
- District n. 26 of Florida
Current Congressional District
- District n. 28 of Florida
United States
- Florida
Core Based Statistical Area (CBSA)
- Miami-Fort Lauderdale-West Palm Beach, FL
County
- County: Miami-Dade, FL
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