This year, two interdisciplinary teams at the eScience Institute’s Data Science for Social Good (DSSG) program tackled timely issues, conducting projects to identify disinformation articles about the coronavirus and detect minority vote dilution resulting from geographic boundary setting in state, city, county and school board districts.
On August 19th, the DSSG student fellows presented the results of their projects, conducted with project leads and data scientists, to more than 130 people via zoom. The ten-week summer program joins student fellows from universities around the country with data and domain researchers, and real-world stakeholders, to work on collaborative projects for societal benefit. This year the program took place remotely for the first time due to the coronavirus pandemic.
Read the full article at eScience News here.
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