GSSS 2019-Projects & Working Groups: Difference between revisions
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==POSSIBLE PROJECT TOPICS== | ==POSSIBLE PROJECT TOPICS== | ||
1. Seen a city as a network graph, correlations of components (descriptors) as weight connections. Low flow components may appear as cluster patterns in the graph, fast flow components should have a high degree of connection. | 1. Seen a city as a network graph, correlations of components (descriptors) as weight connections. Low flow components may appear as cluster patterns in the graph, fast flow components should have a high degree of connection. | ||
2. How effective are Civic behaviour characterization using small data. In order of doing these we have to measure quality of data (using some of the common dimensions). A diagrammatic framework could be formulated to understand in a common basis small data set. | |||
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[[Media:SFI GSSS Protect Themes.xlsx | GSSS Project Themes from Slack Posts]] | [[Media:SFI GSSS Protect Themes.xlsx | GSSS Project Themes from Slack Posts]] | ||
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==OTHERS== | ==OTHERS== | ||
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Revision as of 16:18, 16 July 2019
| GSSS 2019 |
POSSIBLE PROJECT TOPICS
1. Seen a city as a network graph, correlations of components (descriptors) as weight connections. Low flow components may appear as cluster patterns in the graph, fast flow components should have a high degree of connection.
2. How effective are Civic behaviour characterization using small data. In order of doing these we have to measure quality of data (using some of the common dimensions). A diagrammatic framework could be formulated to understand in a common basis small data set.
GSSS Project Themes from Slack Posts
OTHERS