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From: UVA School of Data Science <datascience@virginia.edu>
Subject: Data Science News | April 2020
Date: April 17, 2020 at 2:54:13 PM EDT
To: <ejackson@nybg.org>
Reply-To: UVA School of Data Science <datascience@virginia.edu>
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April 2020
COVID-19 Update
The School of Data Science has responded to COVID-19 with policy changes to its academic programs, in alignment with UVA. We have also responded by diving into various research related projects, ranging from building stochastic spread models, which estimate the survival rates and infection counts, to creating models which forecast when the surge will occur in Charlottesville. Learn more about the School of Data Science's response to COVID-19 in the resource page below.
School of Data Science COVID-19 Website
Headlines
All of our MSDS students complete a capstone project. Capstone projects challenge UVA Data Science students to explore, integrate and analyze data to solve real-world problems. Project teams consist of two to four students, one or more faculty advisors, and a sponsor organization. For their capstone project, Sana, Sudeepti, and Logan are working with the Metropolitan Museum of Art to increase accessibility to art. They are using data science to improve the search of the museum’s online collection and eliminate bias. Learn more.
Charlottesville as a Global Hub of COVID-19 Information through Wikipedia
Lane Rasberry is bringing University of Virginia research to the forefront of COVID-19 global health communication through Wikipedia.Rasberry is the Wikimedian-in-Residence at the School of Data Science. Currently, Rasberry is writing, editing, and translating COVID-19 articles on Wikipedia. Learn more
How do Historic Colonial Policies Affect Current Air Pollution in Senegal?
School of Data Science Presidential Fellows Angelique Demetillo and Dallas Tatman are using data science to study the connections between historical colonial policies and current air pollution in Dakar, Senegal. They are studying satellite and nitrogen dioxide data and leveraging these datasets with ethnographic information. Learn more.
Online MSDS Student Highlights
Our MSDS online cohorts are getting their degrees from all over the country. From doctors to manufacturers, our cohorts are made up of dynamic groups of data scientists.
Want to know more about our online students? Why data science? What do they plan to do with their MSDS degree? Learn more.
Looking to grow your professional network? UVA’s School of Data Science Executive Education is creating a widespread community where you can build and grow among other pioneers and leaders of the digital future. Learn more.
The University of Virginia School of Data Science held their annual Women in Data Science Conference [WiDS] Friday, March 27-- this year in a virtual format, due to COVID-19.
The event was originally to be held in Alumni Hall, where the maximum number of people who could attend was 300. With the event moved online, 583 people registered from all over the globe, an unprecedented number for an event hosted by the School of Data Science.
Read more about WiDS and how it addressed the current COVID-19 crisis here.
If you were unable to participate in the conference, you can view all 2020 Charlottesville Women in Data Science Conference sessions below!
Introductory Remarks
Opening Keynote
Research Highlight Talks
Trust and Transparency: Preventing Bias in AI with IBM
A Panel with Women Leaders in Data Science
Closing Keynote: Mutale Nkondo
The School of Data Science would have been able to pull off an event of this magnitude without support from the 2020 Charlottesville Women in Data Science Conference sponsors.
Thank you to S&P Global, Capital One, IBM and LMI for your generous support of WiDS.
Alum Abhijith Mandya's Path to Red Hat
MSDS '18 Alum Abhijith Mandya attended Mumbai University, where he majored in biochemistry. With a taste of analytics in his first job post undergrad, he knew he wanted to pursue data science.
After graduating with his MSDS in 2018, Mandya landed a job as a Business Data Scientist at Red Hat, with help from our career services team. Now, he works with forecasting models and product development. Learn more.
Click on the articles below to read how our students, faculty, alum, and staff have been featured in the media.
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