Difference between revisions of "IS428 AY2019-20T1 Assign Chew Hui Ling"
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[[File:MC1-2019.jpg|165px]] | [[File:MC1-2019.jpg|165px]] | ||
| − | <b><font size = 6; color="#8B4513"> VAST Challenge 2019 | + | <b><font size = 6; color="#8B4513"> VAST Challenge 2019 MC 1: Crowdsourcing for Situational Awareness</font></b> |
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| − | {|style="background-color:# | + | {|style="background-color:#D3D3D3;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" | |
| − | | style="font-family:Century Gothic; font-size:100%; solid #000000; background:# | + | | style="font-family:Century Gothic; font-size:100%; solid #000000; background:#D3D3D3; text-align:center;" width="20%" | |
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| − | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling|<b><font size=" | + | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling|<b><font size="4"><font color="#8B4513">Background</font></font></b>]] |
| − | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:# | + | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#D3D3D3; text-align:center;" width="20%" | |
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| − | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Data_Preparation|<b><font size=" | + | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Data_Preparation|<b><font size="2"><font color="#BC8F8F">Data Analysis and Preparation</font></font></b>]] |
| − | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:# | + | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#D3D3D3; text-align:center;" width="20%" | |
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| − | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Visualization|<b><font size="2"><font color="#BC8F8F"> | + | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Visualization|<b><font size="2"><font color="#BC8F8F">Visualization</font></font></b>]] |
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| + | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Insights|<b><font size="2"><font color="#BC8F8F">Insights</font></font></b>]] | ||
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[[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Conclusion| <b><font size="2"><font color="#BC8F8F">Conclusion</font></font></b>]] | [[IS428_AY2019-20T1_Assign_Chew_Hui_Ling_Conclusion| <b><font size="2"><font color="#BC8F8F">Conclusion</font></font></b>]] | ||
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| + | <font size="5"><font color="#8B4513">'''Overview'''</font></font> | ||
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| + | St. Himark is a vibrant community located in the Oceanus Sea. Home to the world-renowned St. Himark Museum, beautiful beaches, and the Wilson Forest Nature Preserve, St. Himark is one of the region’s best cities for raising a family and provides employment across a number of industries including the Always Safe Nuclear Power Plant. Well, all that was true before the disastrous earthquake that hits the area during the course of this year’s challenge. Mayor Jordan, city officials, and emergency services are overwhelmed and are desperate for assistance in understanding the true situation on the ground and how best to deploy the limited resources available to this relatively small community. | ||
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| + | <font size="5"><font color="#8B4513">'''Problem Statement'''</font></font> | ||
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| + | 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. | ||
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| + | 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. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners. Note: the shake maps are from April 6 and April 8 respectively. | ||
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| + | 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. | ||
Latest revision as of 22:42, 14 October 2019
VAST Challenge 2019 MC 1: Crowdsourcing for Situational Awareness
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Overview
St. Himark is a vibrant community located in the Oceanus Sea. Home to the world-renowned St. Himark Museum, beautiful beaches, and the Wilson Forest Nature Preserve, St. Himark is one of the region’s best cities for raising a family and provides employment across a number of industries including the Always Safe Nuclear Power Plant. Well, all that was true before the disastrous earthquake that hits the area during the course of this year’s challenge. Mayor Jordan, city officials, and emergency services are overwhelmed and are desperate for assistance in understanding the true situation on the ground and how best to deploy the limited resources available to this relatively small community.
Problem Statement
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. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners. Note: the shake maps are from April 6 and April 8 respectively.
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.
