U.S. National Science Foundation · USA

Science of Learning and Augmented Intelligence (SL)

Offen

U.S. National Science Foundation plant Förderungen mit 550 $ pro Projekt. Die Einreichungsfrist endet am 10. Februar 2027. Antragsberechtigte Gruppen laut Quelle: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility".

Frist: 10. Februar 2027 (in 87 Tagen)
Fördersumme: 550 $ pro Projekt
Förderquote: Kein Pflicht-Eigenanteil angegeben; Förderquote nicht angegeben
Eigenanteil: Nicht erforderlich
Wahrscheinliche Antragstellende: Unternehmen, KMU / Start-ups, Gemeinnützige, Hochschulen & Forschung, Öffentliche Stellen, Einzelpersonen Aus Quellkategorien oder Programmregeln; maßgeblich ist die Ausschreibung.
Fördergeber: U.S. National Science Foundation
Referenz: PD-19-127Y
Assistance Listing (USA): 47.075 Social, Behavioral, and Economic Sciences
Zuletzt geprüft: 13. November 2026

Offizielle Ausschreibung öffnen ↗ Frist zum Kalender hinzufügen

Die offiziellen Beschreibungen sind in der Sprache des Fördergebers (meist Englisch); Zusammenfassung und Eckdaten auf dieser Seite sind auf Deutsch.

Über diese Ausschreibung

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 about human functioning to improve the design of collaborative technologies that have the capacity to learn to adapt to humans.

Vollständigen Text lesen

For both aspects of the program, there is special interest in collaborative and collective models of learning and intelligence that are supported by the unprecedented speed and scale of technological connectivity. This includes emphasis on how people and technology working together in new ways and at scale can achieve more than either can attain alone. The program also seeks explanations for how the emergent intelligence of groups, organizations and networks intersects with processes of learning, behavior and cognition in individuals.

Projects that are convergent or interdisciplinary may be especially valuable in advancing basic understanding of these areas, but research within a single discipline or methodology is also appropriate. Connections between proposed research and specific technological, educational and workforce applications will be considered as valuable broader impacts but are not necessarily central to the intellectual merit of proposed research. The program supports a variety of approaches, including experiments, field studies, surveys, computational modeling, and artificial intelligence or machine learning methods.

Examples of general research questions within scope of Science of Learning and Augmented Intelligence (SL) include:

• What are the underlying mechanisms that support transfer of learning from one context to another or from one domain to another? How is learning generalized from a small set of specific experiences? What is the basis for robust learning that is resilient against potential interference from new experiences? How is learning consolidated and reconsolidated from transient experience to stable memory?

• How do human interactions with technologies, imbued with artificial intelligence, provide improved human task performance? What models best describe the interplay of the individual and collaborative processes that lead to co-creation of knowledge and collective intelligence? In what ways do the capacities and constraints of human cognition inform improved methods of human-artificial intelligence collaboration?

• How can we integrate research findings and insights across levels of analysis, relating understanding of cellular and molecular mechanisms of learning in the neurons, to circuit and systems-level computations of learning in the brain, to cognitive, affective, social and behavioral processes of learning? What is the relationship between assembly of new networks (development) and learning new knowledge in a maturing or mature brain? What concepts, tools (including Big Data, machine learning, and other computational models) or questions will provide the most productive linkages across levels of analysis?

• How can insights from biological learners contribute and derive new theoretical perspectives to artificial…

Wer kann sich bewerben?

Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

Antragstellerkategorien sind nur ein Ausgangspunkt. Über die Antragsberechtigung entscheidet die offizielle Ausschreibung.

Themen

Science and Technology and other Research and Development

So bewerben Sie sich

Apply through the funder’s official page (link below); it states the procedure, documents and deadline.

From the call text

Who can apply: Not stated in the call text we hold — check the official page
Company stage: Not stated in the call text we hold — check the official page
Single applicant or consortium: Not stated in the call text we hold — check the official page
Where applicants must be based: Not stated in the call text we hold — check the official page
Where to apply: Not stated in the call text we hold — check the official page

Kontakt

U.S. National Science Foundation · grantsgovsupport@nsf.gov · 703-292-4203

Offizielle Quellen

Offizielle Ausschreibungsseite · Programmseite des Fördergebers

Die Angaben auf dieser Seite stammen aus der offiziellen Quelle und wurden zuletzt am 13. November 2026 geprüft. Maßgeblich sind immer die Unterlagen des Fördergebers einschließlich späterer Änderungen.