Oak Ridge Associated Universities (ORAU) 2024 Innovation Partnerships Program (formerly Events Sponsorship Grant Program)

Limit: 2 // Tickets Available: 1

 H-J. Kim (Civil Engineering)

Institutions can receive only two awards each year and can submit a limit of two applications per year.
*The ORAU Innovation Partnerships Grant Program is a single fiscal year award for events held between September 1, 2023 and September 30, 2024.

Event or conference sponsorship is often beneficial to the Oak Ridge Associated Universities (ORAU) Council of Sponsoring Institution Members, whether as a means of fostering collaboration among Council members, gaining new and important information for a proposal or business plan, and more. Up to $4,000 may be requested to support an in-person or virtual event that involves participants from more than one ORAU member institution, including students. Innovation Partnership applications should focus on focused workshops/conferences that highlight your university’s strategic STEM research and education growth areas, and where collaborations with other member universities would add value. We are specifically interested in events that can bring more thought leadership in building a national strategy for STEM education and workforce development. Member universities are encouraged to collaborate around this topic in anticipation of federal funding initiatives. 

FY 2024 Innovation Partnerships Grant Focus Areas:

• Climate and Environment - sustainability, environmental justice, clean energy, resilience to climate hazards, emerging technologies, measurement and impact assessment, diversity and inclusion, policy, and data science and analytics
• Health Equity - telemedicine, telehealth, health literacy, health communication, behavioral and mental health, health disparities, diversity and inclusion, policy, and data science and analytics
• Future of the STEM Workforce - new ways of teaching and learning (K-16), transformative workforce capacity building and mentoring, diversity and inclusion, policy, data science, machine learning, and artificial intelligence