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In recent years, data science has emerged in industry and academia as a result of the so-called data deluge. Companies and researchers are inundated with data of many different kinds, from many different sources, and they have to make sense of these data for purposes such as policy- and decision-making, strategizing, marketing, and hypothesis testing. Researchers and developers have created numerous tools to work with new, complex datasets, and statisticians have advanced corresponding methods of visualization and analysis. Increasingly, people across academia and industry are using these tools and methods to the benefit of their research, products, and services.
The UC Merced Data Science Summit will bring together representatives from industry and academia to discuss the latest trends and issues in data science, and the variety of current and future career paths related to data science. The day will open and close with keynote presentations, along with six brief talks plus Q&A, and a wrap-up panel discussion. There will also be ample time for networking and small group discussions during meals, breaks, and a reception at the end of the day.
Schedule:
8:30 AM Check in and Light Breakfast
9:00 AM Welcome: Provost Tom Peterson & Graduate Studies Dean Marjorie Zatz
9:30 AM Opening Keynote: Sudha Ram, University of Arizona Eller College of Management MIS
10:30 AM Talk 1: Tracy Teal – Data Carpentry
11:00 AM Talk 2: Ernestine Lee - Five Prime Therapeutics
11:30 AM Break
12:00 PM Talk 3: Daryl Pereira - IBM
12:30 PM Talk 4: Esteban Arcaute - Facebook
1:00 PM Lunch
2:00 PM Talk 5: Marisol Gamboa – Lawrence Livermore National Labs
2:30 PM Talk 6: Scott Le Grand- Amazon /A9
3:00 PM Break
3:30 PM Panel Discussion
4:30 PM Closing Keynote
5:30 PM Networking Reception
