Welcome to the Future Air Transport Decision-Making Challenge, PreCoN Task-1
Call Objective:
The primary goal of this collaborative task is to harness your insights into how modern decision-making techniques and technologies, including Machine Learning (ML), Artificial Intelligence (AI), Decision Support Systems (DSS), and other innovative tools, can be effectively employed within the realm of future air transport.
Task Description
Formation of Teams: Create teams of 2-3 people to encourage collaborative thinking and diverse perspectives.
Research and Analysis: Investigate and analyze how contemporary decision-making tools can enhance decision processes within the future air transport sector. Explore real-world examples where these tools have been or could be applied.
Content Structure (Max 1000 words):
- Introduction: Provide an introduction to the significance of decision-making in the aviation industry, especially considering the advancements in technology.
- Concept Definition: Define and explain the selected decision-making tools (ML, AI, DSS, etc.) and their potential applications in future air transport.
- Examples: Share specific examples or case studies illustrating the successful implementation of these tools in the aviation sector.
- Conclusion: Summarize key findings and insights, emphasizing the impact of these tools on decision-making within the evolving air transport landscape.
Submission:
Submit your team’s work through the form below. Ensure that your submission adheres to the word limit of 1000 words.
Review and Certification:
After the review process, a participation certificate for the NextGenATM digital learning platform will be awarded to qualifying submissions.
Deadline:
There is no deadline for this task.