[Prevscilist] Reminder: SDS Network Speaker Event June 6th from 11-12

[Emily Tanner-Smith]

Just a friendly reminder – please join us for this SDS Network guest speaker event next Monday, June 6th from 11am-12pm via Zoom. You must RSVP to receive the Zoom link. Please share widely with any of your colleagues interested in data science!
Best,
Emily




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Save The Date

SDS Network Speaker Series<https://blogs.uoregon.edu/sdsnetwork/>

The Future of Data Science: Automation, Accessibility,
and Accountability

Kelsey Gray, Insight Policy Research

Monday, June 6, 2022 from 11a.m. - 12 p.m. PST via Zoom
(Zoom link to follow)

RSVP<https://urldefense.com/v3/__https:/oregon.qualtrics.com/jfe/form/SV_3LeYKlhKJFd5Vae__;!!C5qS4YX3!BtQ2VYJ7-tsrT1OvIbczpM518bjEqlwKjaRfauMV1vYUwhxe3Idr-4M74OZfaQ-U1ESSVFt0eqlJlq9gmkmycc7b$>




Abstract: Ask 10 data scientists to define “data science” and you’ll receive 10 different answers. Data science is an interdisciplinary field that is constantly evolving. However, three core characteristics define the future of this field: automation, accessibility, and accountability. This talk describes how Federal and State agencies, non-profits, and foundations are using automation, expecting accessibility, and demanding accountability when it comes to the application of data science and analytic techniques. Examples are presented that demonstrate:
1.  How natural language processing techniques and report automation are routinely deployed to expedite the flow of information and insights;
2.  How data visualizations and interactive dashboards are making those results more accessible for decision makers and improving data literacy; and
3.  How users expect accountability when it comes to the use, transparency, and replicability of machine learning algorithms. Successful data science projects seamlessly integrate automation, accessibility, and accountability.



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Kelsey Gray is an associate director of Data Science and Analytics at Insight Policy Research (Insight). She brings 10 years of experience assessing social programs and policies, with a specialty in data visualization and advanced analytics. She works with Federal agencies, State governments, non-profits, and foundations to make data more accessible for decision-making. Kelsey leverages her formal training in data visualization and design principles to convey complex information in easy-to-understand formats for the end user. She currently directs projects deploying interactive dashboards for government agencies and foundations, leads work to develop machine learning algorithms to classify unstructured data, and oversees tasks to enhance the data literacy of clients and organizations. Prior to joining Insight, she was a learning engineer at Project Evident, where she led work with nonprofit service providers to implement data science techniques and dashboards. As an analyst at Mathematica Policy Research, she used simulation models to estimate the impact of policy changes on social programs. Kelsey holds an M.S. in analytics from New York University and a B.A. in public policy from the University of North Carolina at Chapel Hill. She is a certified Tableau Specialist.



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