Fast Grants for STEM Talent Identification & Development
There is growing recognition that while the seeds of talent in mathematics and the sciences are very broadly distributed, the opportunities to develop this talent are not. For example, around 4 percent of International Math Olympiad gold medalists have been female, and 0.1 percent African. This Fast Grants program is intended to – borrowing a beautiful phrase from Carina Initiatives – spur research aimed at sending more individuals from more communities to the frontiers of science and technology. More specifically, this program aims to accelerate the development of more effective tools, methods, and strategies for discovering and supporting high-potential individuals with hidden talents in STEM. For example, how effective are different methods for identifying hidden math talent, and are there individuals who are systematically missed under different approaches? What are the most effective programs for supporting exceptionally talented youth in realizing their potential?
How We Use Your Data
Digital Harbor Foundation may retain or destroy any data provided in this application. Your submission may be shared with external parties, such as outside referees, program staff, or program funders. Aggregate data about the program may be published and shared by the Digital Harbor Foundation or the project. Unless you request otherwise, Digital Harbor Foundation may reference your participation in the program.
Application
Digital Harbor Foundation does not and shall not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status, in any of its activities or operations.
If you have any questions about this application, please see our common questions section. If you do not find the answer to your question in this section, you can reach us by email at contact@fastgrants-talent.org
Fast Grants for Innovations in STEM Talent Identification and Development is a fiscally sponsored project of the Digital Harbor Foundation.