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A Visual Multivariate Interactive Exploration Dashboard for Economic and Behavioral Studies
MAS: Media Arts and Sciences
Prof. Alex Pentland
September, 30th, 2020
Theresa Hagen: email@example.com & Mohsen Bahrami: firstname.lastname@example.org & Justin Anderson: email@example.com
This project is part of a collaborative research initiative led by the Government of South Australia in partnership and participation with MIT Connection Science, its Adelaide Living Lab, and local collaborators including University of South Australia, Adelaide University, financial institutions, and telecommunication service providers. The Living Lab is working to better understand social interactions and economic behavior within the various communities across South Australia in order to introduce new solutions to help economic growth and to contribute to employment in South Australia. This part of the project includes the design and development of a dashboard for visualizing mobility behavior and economic growth in South Australia. The basis of this dashboard is founded on the lab’s previous studies which support the notion that the diversity of amenities within a neighborhood accurately predicts human mobility ("flows") between neighborhoods and that the diversity of inflow of people accurately predicts neighborhood economic growth. This tool will be used to assist the South Australian government in pinpointing focus areas for urban development to drive greater diversity in human flow, or more interactions between people of different socio-economic backgrounds, and consequently more economic opportunities. The project involves a mix of frontend visualization, backend services, and data science. Previous experience with React and interest in data analysis and visualization would be helpful. More Information: https://dti.sa.gov.au/industry/big-data-living-lab https://connection.mit.edu/news/mit-stakes-claim-adelaide
The project involves a mix of frontend visualization, backend services, and data science. Previous experience with React and interest in data analysis and visualization would be helpful.