NASA fdl 2019 introduction
The FDL yearly cycle starts with challenge definition. Early in the year, we bring together some of the brightest and best minds we can find, from space science, AI and technology, and on/off-Earth applications to explore our challenge areas. During the course of our day-long Big Think events in Europe and the US, we aim to identify some broad challenges, which the FDL research teams could tackle in the summer.
Through a process of iteration with a PI (principal investigator) leading each challenge, we refine and narrow those challenge areas until we have identified one, or several, tightly articulated questions to resolve.
FDL challenges must represent a clear and present scientific problem, for which there is available data, that could be significantly advanced by AI tools and techniques. It is these challenges that the research teams further narrow in the opening weeks of the FDL research sprint to refine their own particular concept approach. The broad challenge areas we start the year with move from provisional to confirmed as we understand how, and when, they meet these criteria.
Living with Our Star
How can AI improve our ability to predict solar activity - especially energetic solar phenomena?
EXPANDING THE CAPABILITIES OF NASA’S SOLAR DYNAMICS OBSERVATORY
SUPER-RESOLUTION MAPS OF SOLAR MAGNETIC FIELD COVERING 40 YEARS OF SPACE WEATHER EVENTS
ENHANCES PREDICTABILITY OF GNSS DISTURBANCES
The Moon for Good
How might AI support the goal of establishing a permanent presence on the Moon?
LUNAR RESOURCE MAPPING / SUPER RESOLUTION
Mission Control for Earth
How might we utilise AI and Earth observation data to support improved decision making to protect the planet?
DISASTER PREVENTION, PROGRESS AND RESPONSE
How can AI support medical care in space?
GENERATION OF SIMULATED BIOSENSOR DATA
You can read about the FDL Europe 2019 challenges by following this link.