FDL 2018

FDL 3.0 was expanded to include nine teams studying four core topics. The teams will explore challenges within the following disciplines: space resources, exoplanets, space weather, astrobiology and Earth observation (at FDL Europe).

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ASTROBIOLOGY: From Biohints to Confirmed Evidence of Life

ASTROBIOLOGY: Co-Evolution of Extraterrestrial Atmopshere & Alien Biosphere

SPACE RESOURCES: Mission Planning for Cooperative Multi-Agent Systems

Multi-agent system deployments have the potential to vastly improve upon conventional single-agent operations. Indirect cooperation, such as sharing knowledge and collaborative problem solving, offer to improve the robustness, capabilities and the overall value of Lunar missions.

SPACE RESOURCES
LOCALIZATION : MERGING ORBITAL MAPS WITH SURFACE-PERSPECTIVE IMAGERY

A significant challenge faced during the execution of lunar or planetary surface missions is that of localizing a perspective with respect to satellite imagery - something we on Earth take for granted in the age of GPS.

EXOPLANETS
INCREASE THE EFFICACY AND YIELD OF EXOPLANETS DETECTION FROM TESS AND CODIFY THE PROCESS OF AI DERIVED DISCOVERY

Flooding is the most common natural disaster in the US and is the deadliest weather related disaster, with over 82 deaths a year on average. Flood waters often conceal sewerage, sharp objects and downed power lines. Urban developments are more vulnerable to floods as impermeable surfaces reduce the ability of flood waters to be absorbed by the landscape.

Can AI improve our capabilities to forecast and respond to floods using orbital imagery to better predict the permeability of surfaces, the likelihood of flash flooding or a burst river? Can ML techniques coupled with USGS ground observations and social data be used to better understand how to save lives in terms of better predictive models before and during a flooding event?

SPACE WEATHER: Extreme Ultraviolet Solar Spectral Irradiance

SPACE WEATHER: Forecasting GNSS disruptions