IS428 AY2019-20T1 Assign Wendy Ng Sock Ling
VAST Challenge 2019 MC1: Crowdsourcing for Situational Awareness
|
|
|
|
|
Contents
Assignment: To be a Visual Detective
Mini-Challenge 1: Crowdsourcing for Situational Awareness
Background [1]
St. Himark has been hit by an earthquake, leaving officials scrambling to determine the extent of the damage and dispatch limited resources to the areas in most need. They quickly receive seismic readings and use those for an initial deployment but realize they need more information to make sure they have a realistic understanding of the true conditions throughout the city. In a prescient move of community engagement, the city had released a new damage reporting mobile application shortly before the earthquake. This app allows citizens to provide more timely information to the city to help them understand damage and prioritize their response.
With emergency services stretched thin, officials are relying on citizens to provide them with much needed information about the effects of the quake to help focus recovery efforts. By combining seismic readings of the quake, responses from the app, and background knowledge of the city, help the city triage their efforts for rescue and recovery.
Tasks [2]
- Analyse how neighborhoods should be prioritsed for response and find out which parts of the city are hardest hit.
- Use visual analytics to show uncertainty in the data, compare the reliability of neighborhood reports and find out which neighborhoods are providing reliable reports.
- Examine how the conditions, uncertainty in and key changes have changed over time
