RSS feed source: National Science Foundation

Synopsis

The Established Program to Stimulate Competitive Research (EPSCoR) supports the mission of the U.S. National Science Foundation (NSF) by promoting nationwide scientific progress. Through this program, NSF fosters partnerships among academic institutions, government entities, industry, and non-profits. These collaborations aim to drive long-term improvements in research infrastructure, enhance R&D capacity, and boost the research competitiveness of eligible EPSCoR jurisdictions, including states, territories, and commonwealths. 

A jurisdiction’s research ecosystem is the interconnected network of institutions, organizations, researchers, trainees, community stakeholders, and resources that contribute to the process of research and innovation that advances fundamental knowledge, generates use-inspired products, and ultimately cultivates beneficial societal impacts for a jurisdiction. E-RISE supports hypothesis-driven or problem-driven research and fosters the development of research teams and products in a scientific topical area that aligns with a jurisdiction’s research ecosystem and priorities, as detailed in the jurisdiction’s Science and Technology

Click this link to continue reading the article on the source website.

RSS feed source: National Science Foundation

Synopsis

Science of Learning and Augmented Intelligence (SL) supports potentially transformative research that develops basic theoretical insights and fundamental knowledge about principles, processes and mechanisms of learning, and about augmented intelligence — how human cognitive function can be augmented through interactions with others or with technology, or through variations in context. 

The program supports research addressing learning in individuals and in groups, across a wide range of domains at one or more levels of analysis, including molecular and cellular mechanisms; brain systems; cognitive, affective and behavioral processes; and social and cultural influences. 

The program also supports research on augmented intelligence that clearly articulates principled ways in which human approaches to learning and related processes, such as in design, complex decision-making and problem-solving, can be improved through interactions with others or through the use of artificial intelligence in technology. These could include ways of using knowledge

Click this link to continue reading the article on the source website.