Predict project risks using NASA’s lessons from the past. Design a project management tool that extracts past project risk information and uses AI/ML to predict risks on future projects.
RISKY SPACE BUSINESS: NASA AI RISK PREDICTION CHALLENGE
If you’re an AI/ML specialist or someone who is great at extracting data from past project reports, this challenge is for you! The Risky Space Business Challenge is looking for White Papers and algorithms to help NASA predict risks on future projects. If you’re up to the challenge, you could win a share of the $50,000 purse.
To participate in this challenge, you must describe or show how you would:
1. Extract risk data from past project reports
2. Create a template for future project reporting
3. Create a taxonomy of risks for future use
4. Use AI/ML to identify potential risks in future projects using past project reports. Winning solutions will be used to help NASA, and potentially anyone managing a project, improve their ability to identify risks before they become real issues.
All project plans are created with the hope that everything will go to plan. However, that rarely happens; schedules slip, costs increase, and components can’t be built as planned. If only you could use all the knowledge from past projects to help you assess risk on future projects. That is what NASA’s Game Changing Development (GCD) Program hopes to do through the Risky Space Business Challenge.
GCD is looking for competitors who can solve one or more or all of the following:
– an algorithm to extract risk data from past project reports
– a template for reporting project data that provides data structures suitable for AI/ML
– new ways of categorizing risk and creating data structures to enable AI/ML
a plan to put it all together to use AI/ML to identify project risks
For this challenge, whether you choose to address all or part of it, you will need to write a White Paper and provide algorithms, if available, describing or demonstrating your solution.
Being able to identify and manage risk is essential to effectively run any development project. The goal of this Challenge is to move GCD from recognizing and reporting risk during a project and after the project is completed, to being able to identify potential risks by comparing project documentation on active projects to historical data and information available from other GCD projects.
Total Purse: $50,000
Up to 3 prizes will be awarded to the top solvers that achieve the requirements of the challenge for a total of $35,000. The best solution will be awarded $20,000, second place will be awarded $10,000, and third place will be awarded $5,000. Another $15,000 in prizes may be awarded for innovative solutions in data extraction, data formatting, or risk prediction with a minimum prize amount of $2,500. These additional prizes can be given to solutions that place in the top three, or to other submissions that are exceptional in these areas. If fewer solutions meet the criteria for a prize, the money will be redistributed among the qualified winners.