Hello,

As part of the Department of Information Studies' course on 'Data Entrepreneurship', representatives from Fullscreen (http://www.fullscreen.net) will give a talk on Tuesday January 28, 9am, at UCLA in the GSE&IS building, room 111. 

"How Fullscreen leverages data to help YouTubers build their audiences"

Sean Stavropolous, Director of Engineering, Matthew Amick, Lead Data Scientist, Jay Stakelon, VP Product Design, Fullscreen. 

Abstract: Fullscreen is an innovation- and technology-driven media company that uses data in tons of ways to enhance its core business, working with over 28k YouTube channels. For example, (a) Using demographics and audience similarity metrics to programmatically recommend collaborations between channels in the Fullscreen network (b) Examining trends in viewership and earnings data to optimize the core business; (c) Experimenting with using viewership to find and predict patterns of engagement and audience loyalty across sets of YouTube channels. 

In this talk, we'll start by looking at how our data science team finds opportunities in the relatively chaotic day-to-day landscape of a rapidly-growing startup. We'll go through how we consume, store and access data from third-party sources, a few visualization techniques that we use to make that data accessible to the business, and finally how that data helps us understand audiences on YouTube and how we can optimize behaviors to attract those audiences. 

Again, the talk will take place at UCLA in the GSE&IS building, room 111, on Tuesday, January 28 at 9am.

Parking information + map

http://is.gseis.ucla.edu/about/location/parking.htm

http://is.gseis.ucla.edu/about/location/area_map.pdf

Data entrepreneurship course syllabus: http://polaris.gseis.ucla.edu/blanchette/DE/syllabus.pdf

Upcoming talks in the same series:

February 4: Meg Buzzi, UCLA Opus Project, “Standardization of Faculty Data.”

February 11: Fawn Kazati, Content Strategy Director & Trisha Mitra, Business Intelligence Director, Saatchi & Saatchi, Los Angeles: “Using Big Data to Persuade Purchase—Loyalty Cards, Predictive Advertising, Quantifying Emotions to enable Automotive Purchases."

Abstract: “How a large advertising agency (Saatchi and Saatchi) uses data, how we distill numbers into insights and ultimately,  how this furthers customer intent for Toyota purchases. Our source material will come from the collective knowledge gathered from a cumulative 30 years in advertising / analytics as well as case studies for our current work with Toyota.”

February 18: Douglas Cohen, Maker Studios.

February 25: Alberta Soranzo, UCLA Center for Health Policy Research, “Taxonomies and Meaningful Metadata"

March 4: Tim Gallati, Qualcomm Library, "Search Log Analysis--Surfacing Information Seeking Trends & Narratives."

Abstract: We are currently leveraging internal data from company search engines, information seeking and consumption data within the library, and related metrics to develop an internal version of the Google Zeitgeist.  The deliverable is a summary of the information seeking trends within the company which carries implications in  knowledge management, resource development, internal research priorities, company networks, and thinking about ‘the next big thing in R&D.’

--
Jean-François Blanchette, Associate Professeur
Dept. of Information Studies, UCLA
http://polaris.gseis.ucla.edu/blanchette

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