iarpa.gov | Adaptive reasoning and problem-solving are increasingly valuable for
information-oriented workplaces, where inferences from sparse,
voluminous, or conflicting data must be drawn, validated, and
communicated—often under stressful, time-sensitive conditions. In such
contexts, one’s ability to accurately update one’s mental models, make
valid conclusions, and effectively deploy attention and other cognitive
resources is critical. Accordingly, optimizing an analyst’s adaptive
reasoning could pay large dividends in the quality of their analytic
conclusions and information products. Given adaptive reasoning tests’
high predictive value for performance and productivity, proven methods
for strengthening adaptive reasoning and problem-solving could have
significant benefits for society in general, as well as for individuals
whose work is both analytical and cognitively demanding. Intriguingly,
some recent research suggests that these capabilities may be
strengthened, even among high-performing adults. Despite some promising
results, however, there are methodological and practical shortcomings
that currently limit the direct applicability of this research for the
Intelligence Community.
Therefore, the Strengthening Human Adaptive Reasoning and
Problem-Solving (SHARP) Program is seeking to fund rigorous,
high-quality research to address these limitations and advance the
science on optimizing human adaptive reasoning and problem-solving. The
goal of the program is to test and validate interventions that have the
potential to significantly improve these capabilities, leading to
improvements in performance for high-performing adults in
information-rich environments.
The research funded in this program will use innovative and promising
approaches from a variety of fields with an emphasis on collecting data
from a set of cognitive, behavioral, and biological outcome measures in
order to determine convergent validity of successful approaches. It is
anticipated that successful teams will be multidisciplinary, and may
include (but not be limited to) research expertise in cognitive and
behavioral neuroscience; psychology and psychometrics; human physiology
and neurophysiology; structural and functional imaging; molecular
biology and genetics; human subjects research design, methodology, and
regulations; mathematical statistics and modeling; data visualization
and analytics
Video - John Marco Allegro in an interview with Van Kooten & De Bie. TSMATC | Describing the growth of the mushroom ( boletos), P...
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