A bonfire begins with a single match strike. The same rings true with novel ideas. Could you design a geospatial intelligence challenge that could light a fire of ideas, concepts, and capabilities that improve military, humanitarian and ecological outcomes? The Wright Brothers Institute in Dayton OH, the T-REX Innovation Center in St. Louis MO, and in conjunction with Riverside Research, we have partnered to bring real-world examples to a series of university challenges. These challenges will highlight what can be done with focused geospatial datasets to shed light on current world problems that can be impacted through humanitarian, supply chain, logistics, military, or ecological solutions.
Challenge criteria include:
1) Start with a problem that has the potential to change the course of humanitarian efforts, logistics, military, ecological information, sensor fusion, space information, etc. The initial problem can include assistance to humanitarian teams, novel uses for GEO data, etc.
2) Identify which geospatial intelligence datasets would be needed to solve the problem.
3) Suggest datasets from public, open source, or commercial sources that could be helpful in solving the problem and how the datasets would be used. This can include synthetic datasets.
4) Develop a scoring mechanism for this challenge that will determine datasets’ value in making the biggest impact.
5) Consider how these datasets can combine new technology (i.e. how could AR/VR combined help a rescue team in a natural disaster).
**Challenges cannot be ones that have already been completed (see examples of GEOINT challenges and uses listed below). Challenge submissions may then be used for subsequent challenges in this overall effort or the final Hackathon ( Date TBD).**
Your submission should include:
- A challenge definition
- The hypothetical impact
- Links to the accessible dataset(s)
- A narrative describing the data, structure, fees, licenses and amount of data needed
- Deficiencies/limitations in the data above (e.g. limited by data only collected on white cars, not public releasable, costly)
**Extra Credit**
Propose a scoring mechanism that would be used to judge the challenge winners. T-REX and WBI have access to algorithms that can judge the overlap of large datasets of outcomes to determine completeness of a solution.
For Example:
In the “Ukraine Humanitarian Crisis” challenge highlighted below, datasets of locations of hospitals and relief buildings near border crossings were compared to determine the most complete set from a series of entries with the winner being the one with the most complete set.
Awards:- $1,600
Deadline:- 25-02-2023
