[Prevscilist] Save the Date: SDS Network Speaker April 29th

[Emily Tanner-Smith]

Dear PREV students and alumni,
Are you interested in data science, user experience research, or just interested in learning more about the role of data science methods in academic and industry research? Then please considering attending this virtual talk on April 29th, where Peter Crosta will reflect on some of his data science work at Columbia University and then at Google in their user experience division. Note that you must RSVP to receive the Zoom link to the event.
Best wishes,
Emily

From: coe-fac-bounces at lists.uoregon.edu <coe-fac-bounces at lists.uoregon.edu> On Behalf Of Education Dean
Sent: Monday, April 11, 2022 11:12 AM
To: coe_gr at lists.uoregon.edu; coe-fac at lists.uoregon.edu
Subject: coe-fac: SDS Network Speaker Series

Sent on Behalf of Emily Tanner-Smith


[https://files.constantcontact.com/e2afc7af701/349a0776-6afd-4a9a-a952-2742a2ba7396.png]


Save The Date

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

A Decade in Data Science: Highlights from Ed Tech to Big Tech

Peter M. Crosta, PhD, Senior Quantitative User
Experience Researcher, Google

Friday, April 29th, 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_1Xgr56ksobK0F8i__;!!C5qS4YX3!Vc5RB_EW08TfLxwIvqYPDl_w_JXdJTOJfcFX2M1cv3PXfvhYYdh5UnZSjGTjX5Io3w$>




Abstract: Though formally trained as an education economist, Peter Crosta has been calling himself a data scientist for at least a decade. In this talk, he’ll discuss some of the problems he’s tackled from academia to industry and how data science methods and tools supported the efforts. The talk will conclude with a discussion of some useful frameworks that can be combined with data science for conducting user experience research.



[https://files.constantcontact.com/e2afc7af701/bc1a041e-8108-4419-9cfc-d89dc81b7003.png]

Dr. Peter M. Crosta is a Senior Quantitative User Experience Researcher on the Travel team at Google who is always excited to talk about quantitative research and data science. He spent his early career studying postsecondary education at Columbia University's Teachers College, has led data science teams at two education technology startups, and has consulted for several Fortune 500 companies. He is an avid R user and is currently studying Bayesian statistics. Peter holds a BA in economics from Cornell University and a PhD in economics and education from Columbia University.



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