Special Initiative: Artificial Intelligence
UTC has launched the CHAI Initiative to support the investigation and potential application of AI discoveries is a strategic imperative in response to our commitment to excellent education, research innovation and good stewardship of resources. The initiative also seeks to fulfill our role as a critical partner with the city of Chattanooga in providing expertise toward workforce development, economic opportunity and engaged communities.
A list of funding opportunities and additional resources are below.
If you are interested in submitting a grant proposal focused on AI, please notify ORSP immediately. Visit our Bookings page to schedule an initial consultation or reach out to one of our Pre-Award staff directly.
Funding Opportunities
Chancellor’s Innovation Fund (internal) – due by 5pm ET on February 15, annually
AI-Related Funding Opportunities (external) – a list of AI-related funding opportunities generated as of January 30, 2024.
Infrastructure
UT Verse - a chat-based, AI-powered platform furnished by the UT System
Computational Clusters
Additional Resources
CHAI Initiative
Generative AI in the Classroom
Contact
Email the CHAI team
AI-Related Funding Opportunities
Notes for use:
- Proposals focused on or incorporating AI can be submitted to many NSF Core programs, the NIH R15 program, NEH Collaborative Research program, and DOE FOAs. The programs listed below have specifically called for proposals with AI-related research plans or programming.
- This list is current as of January 30, 2024. New AI-related opportunities could become available at any time, some with short submission windows. The Department of Energy has launched an Office of Critical and Emerging Technology to coordinate research in AI and other areas, for example, so we expect more opportunities from DOE in the near future.
- Programs are listed by order of deadline. Programs with close deadlines can be considered for future competition cycles, as appropriate.
- Program descriptions are predominantly copied directly from the solicitation for each program to facilitate review by key word/discipline.
Sponsor/ Program Name | Program Description/Notes | Restrictions | Deadline(s) |
---|---|---|---|
NEH Institutes for Advanced Topics in the Digital Humanities |
Solicits proposals that bring together humanities scholars, advanced graduate students, librarians, archivists, museum staff, computer scientists, information specialists, and others to learn about new tools, approaches, and technologies, and to foster relationships for future collaborations in the humanities. Research on the ethical, legal, and societal implications of AI is highly encouraged. |
Project directors and co-directors may submit only 1 application per deadline. Up to 5 awards per competition. |
2/15/24 |
The DOE SC program in Advanced Scientific Computing Research (ASCR) hereby announces its interest in basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. |
A pre-application is required and must address one of 5 specific research topics. An individual is limited to one submission as the PI. UTC is limited to a total of 5 pre-applications as the lead applicant. Slots will be allotted on a first-come, first-served basis. Pre-apps will receive encourage/discourage response. |
Pre-app: 2/29/24
Full: 5/2/24 |
|
Supports research in mathematical biology that addresses significant biological questions by applying nontrivial mathematics or developing new theories — particularly from foundational mathematics, including artificial intelligence or machine learning. |
None |
3/11/24 |
|
NSF Collaborations in Artificial Intelligence and Geosciences (CAIG) |
Supports geoscience research, education and fellowships to advance the development and adoption of innovative artificial intelligence (AI) methods to increase scientific understanding of the Earth system. **Unclear if solicitation will be reissued after this cycle. |
Teams must consist of 2-3 interdisciplinary collaborating Senior Personnel. An individual may be designated as Senior Personnel on no more than 2 proposals per competition. |
3/15/24 |
NSF Responsible Design, Development, and Deployment of Technologies (ReDDDoT) |
Supports research, implementation and education projects involving multi-sector teams that focus on the responsible design, development or deployment of technologies. Artificial intelligence is one of the priority areas. Phase 1 is for planning grants and Phase 2 is for mature project proposals. Projects can include basic research, implementation of frameworks or use-inspired research towards the public good, develop/assess methodologies or tools, and/or build infrastructure to support education, training, and stakeholder engagement. **Unclear if solicitation will be reissued after this cycle. |
The project leadership team should include individuals with experience and expertise in topics and areas, including industry and community stakeholders. |
Phase 1: 4/8/24
Phase 2: 4/22/24 |
Supports research and education to overcome barriers and enable new manufacturing capabilities. Focuses on cybermanufacturing, eco-manufacturing and biomanufacturing. |
An investigator may participate in no more than one proposal in each track per year. PIs must have a full-time research or teaching appointment with an institution of higher education. |
4/11/24 |
|
NSF DCL: Funding Opportunities for Engineering Research in Artificial Intelligence |
The Directorate for Engineering encourages the submission of all types of research and education proposals related to AI, including fundamental engineering AI research; applications of AI to engineered systems; smart sensing and analytics; implementation of AI technologies in electronic, magnetic and optical hardware; speech, image, and video data; autonomous systems and robots; training data for engineering AI; behavior of engineered and biological materials; modeling of transport phenomena; human-AI collaboration; assistive and rehabilitation technologies; computational and AI models of physiological systems; bioimaging technologies leveraging AI; scaling of AI applications in manufacturing; and AI for resilience and sustainability of civil infrastructure and infrastructure systems. |
Must be submitted to one of the programs listed in the DCL. Proposals to programs without deadlines should be submitted by April 30, 2024 to be considered for FY24 funding. |
4/30/24 |
Supports research on engineered systems with a seamless integration of cyber and physical components, such as computation, control, networking, learning, autonomy, security, privacy and verification, for a range of application domains. |
An individual may participate in no more than 2 proposals per competition cycle. |
5/30/24 |
|
Supports research to develop fundamental knowledge about principles, processes and mechanisms of learning and about augmented intelligence — how human cognitive function can be augmented through interactions with others and technology. |
None |
8/7/24 |
|
NEH Dangers and Opportunities of Technology: Perspectives from the Humanities |
Supports research that examines technology and its relationship to society through the lens of the humanities, with a focus on the dangers and/or opportunities presented by technology. NEH is particularly interested in projects that examine the role of technology in shaping current social and cultural issues. Projects that seek to understand and address the ethical, legal, and societal implications of artificial intelligence are especially encouraged. |
Project directors and co-directors may submit only 1 application per deadline. |
9/12/24 |
NSF Experiential Learning for Emerging and Novel Technologies (ExLENT) |
Supports inclusive experiential learning opportunities that provide cohorts of diverse learners with the skills needed to succeed in emerging technology fields, including artificial intelligence. |
None. |
9/14/24 |
Supports the development of transformative advances in computer and information science, engineering, mathematics, statistics, behavioral and cognitive research to address pressing questions in the biomedical and public health communities. |
An individual may participate in no more than 1 proposal per competition cycle. Proposals may not duplicate or be substantially similar to other proposals concurrently under consideration by NSF or NIH. |
10/3/24 |
|
One of the CISE: Core programs, RI supports computational research in artificial intelligence, machine learning, computer vision, human language technologies and computational neuroscience. |
An individual can participate in no more than 2 CISE Core proposals, regardless of project class. All senior personnel must be a full-time faculty member or research associate. |
SMALL Proposals accepted anytime MEDIUM: 10/23/24 |
|
One of the CISE: Core programs, HCC supports interdisciplinary research in human-computer interaction to design technologies that amplify human capabilities and to study how human, technical and contextual aspects of computing and communication systems shape their benefits, effects and risks. |
An individual can participate in no more than 2 CISE Core proposals, regardless of project class. All senior personnel must be a full-time faculty member or research associate. |
SMALL Proposals accepted anytime MEDIUM: 10/23/24 |
|
NSF Research on Innovative Technologies for Enhanced Learning (RITEL) |
Supports early-stage research in emerging technologies such as AI, robotics and immersive or augmenting technologies for teaching and learning that respond to pressing needs in real-world educational environments. The program accepts proposals that focus on learning, teaching, or a combination of both. RITEL will not fund projects that are primarily about development of a technology. |
An individual may participate in no more than 1 proposal per competition cycle. |
11/5/2024 |
Encourages the submission of novel and high impact proposals that advance inclusive computing education that prepares preK-12 and undergraduate students for the AI workforce. Proposals must be submitted to Computer Science for All: Research Practice Partnership (CSforAll:RPP) or Improving Undergraduate STEM Education: Computing in Undergraduate Education (IUSE: CUE). **New publications are pending for both programs. |
TBD |
TBD |
|
Supports research addressing cybersecurity and privacy, drawing on expertise in one or more of these areas: computing, communication and information sciences; engineering; economics; education; mathematics; statistics; and social and behavioral sciences. Artificial Intelligence (AI) is a research priority. |
An individual can participate in no more than 4 SaTC proposals, delimited by track. PI eligibility restrictions apply. |
Proposals accepted anytime |
|
Invites research proposals to existing NSF programs focused on advancing understanding of geoscience with artificial intelligence or machine learning. A separate DCL invites AI-themed conference and RCN proposals in and across all research areas supported by the Geosciences Directorate. |
Varies by program |
Varies by program |
|
Encourages proposals from interdisciplinary teams of computer scientists; electrical engineers; mathematicians and statisticians; and social, behavioral and economic scientists to existing NSF programs to address challenges in machine learning. |
PI teams must bring together appropriate expertise in two or more disciplines. |
Varies by program |
|
This DCL welcomes supplemental funding requests and EAGER or RAISE proposals for the development or new application of AI-inspired tools and techniques, with opportunities in, but not limited to, four focus areas: (i) modeling and simulation, (ii) data and model analytics, (iii) concept discovery, and (iv) physical systems/experimentation. |
PO approval is required before submission. |
Proposals accepted anytime |
|
NSF Dear Colleague Letter: Conferences for Building Computational Literacy in Biological Sciences |
BIO encourages proposals to conduct conferences, workshops or other training events that will provide short term training opportunities to students, researchers, or teachers in order to promote computational thinking in biological research. |
PO approval is encouraged before submission. |
Proposals accepted anytime |