{"response":{"award":[{"abstractText":"The Industry-University Cooperative Research Center (IUCRC) for Accessible Healthcare through AI-Augmented Decisions (AHeAD) will develop reliable and usable AI technologies, so quality care is accessible by all populations. AHeAD is a multi-university research partnership between UL Lafayette (lead), Tulane, University of Florida, and Georgia Tech. The center’s research will create validated AI-enabled systems, quality assurance frameworks, and best practices that enable healthcare organizations to offer quality care for all, reducing healthcare gaps while saving costs. By training the next-generation AI workforce and releasing open-source AI models, the center will drive innovation, create new jobs, and grow the American economy.\r\n\r\nAHeaD's goal is to develop reliable AI technologies that improve healthcare access and outcomes for all populations. Research focuses on creating privacy-preserving, interoperable, explainable, and resource-efficient AI models for healthcare. The center's multidisciplinary program includes AI/ML, data science, systems engineering, and health sciences, supported by computational infrastructure and real-world health data through industry partnerships. Research will advance reliable AI, privacy-aware data integration, behavioral context modeling, and human-AI integration. The center will foster workforce development through student training and industry collaborations, building a skilled talent pool to accelerate healthcare AI translation from research to practice. The Tulane site will focus on federated learning, personalized health visualizations, and human-centered retrieval-augmented generation models for enhanced patient-provider communication. During this planning period, Tulane will expand existing partnerships with the healthcare industry in New Orleans as well as local economic development offices in order to transfer AI research from academia into industry. AHeAD will address critical national healthcare challenges and advance U.S. competitiveness in AI-enabled healthcare. The Center creates a rich environment for training next-generation professionals through integrating industry-relevant AI applications into curriculum development and providing direct experience solving healthcare challenges with real-world data. The Center will create and maintain standardized healthcare datasets, publish open-source software and research outputs, and advance technologies with broad healthcare applications. This multifaceted approach promises to improve the health of millions of Americans while generating substantial cost savings for both government and industry.\r\n\r\nThis 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.","activeAwd":"true","agency":"NSF","awardAgencyCode":"4900","awardee":"THE ADMINISTRATORS OF TULANE EDUCATIONAL FUND","awardeeAddress":"6823 SAINT CHARLES AVE","awardeeCity":"NEW ORLEANS","awardeeCountryCode":"US","awardeeDistrict":"01","awardeeDistrictCode":"LA01","awardeeName":"Tulane University","awardeePhone":"5048654000","awardeeStateCode":"LA","awardeeZipCode":"701185665","cfdaNumber":"47.041, 47.070, 47.084","coPDPI":["Zizhan Zheng zzheng3@tulane.edu","Zhengming Ding zding1@tulane.edu","Sylvia H Ley sley@tulane.edu","Saad Hassan saadhassan@tulane.edu"],"date":"07/13/2025","dirAbbr":"CSE","divAbbr":"CST","estimatedTotalAmt":"20000","expDate":"06/30/2028","fundAgencyCode":"4900","fundProgramName":"IUCRC-Indust-Univ Coop Res Ctr","fundsObligated":["FY 2025 = $20,000.00","FY 2026 = $3,999.00"],"fundsObligatedAmt":"23999","histAwd":"false","id":"2515250","initAmendmentDate":"07/13/2025","latestAmendmentDate":"08/11/2026","managingPec":"576100","orgCodeDir":"05000000","orgCodeDiv":"05250000","orgLongName":"Directorate for Computer and Information Science and Engineering","orgLongName2":"Center Scale & Testbeds","orgUrl":"https://www.nsf.gov/cise","parentUeiNumber":"XNY5ULPU8EN6","pdPIName":"Aron Culotta","perfAddress":"6823 SAINT CHARLES AVE","perfCity":"NEW ORLEANS","perfCountryCode":"US","perfDistrict":"01","perfDistrictCode":"LA01","perfLocation":"Tulane University","perfStateCode":"LA","perfZipCode":"701185665","pi":["Aron Culotta aculotta@tulane.edu"],"piEmail":"aculotta@tulane.edu","piFirstName":"Aron","piId":"269841286","piLastName":"Culotta","poEmail":"haliu@nsf.gov","poName":"Hang Liu","poPhone":"7032925139","primaryProgram":["01002526DB NSF RESEARCH & RELATED ACTIVIT","01002627DB NSF RESEARCH & RELATED ACTIVIT"],"progEleCode":"576100","program":"INDUSTRY/UNIV COOP RES CENTERS, EXP PROG TO STIM COMP RES","progRefCode":"5761, 9150","publicAccessMandate":"1","startDate":"07/15/2025","title":"IUCRC Planning Grant: Tulane University (Partner Site): Center for Accessible Healthcare through AI-Augmented Decisions (AHeAD)","transType":"Standard Grant","ueiNumber":"XNY5ULPU8EN6"}],"metadata":{"offset":0,"rpp":25,"totalCount":1}}}