The talk starts at 9 and will end at 10, with an additional 1/2 hour
for questions, so 9 to 10h30 total.
Let me know if you any additional questions,
Jean-François
On Feb 7, 2014, at 11:01 AM, zoe wrote:
> Hello Mr. Blanchette:
>
> Please advise (for those of us considering metered parking): your
> classes start at 9am. What time do they typically end? Will you be
> allowing some time for Q&A at the end of the class? Thank you, zoe
>
>
>
> On Friday, January 24,[masked]:50 PM, Jean-François Blanchette <[address removed]
> > wrote:
> Apparently, it wasn't clear that the email was meant as an
> invitation to attend the talks. Almost all of the speakers were
> recruited through this very list, so I assumed this would be of
> interest to some subscribers. Talks are free of course, except for
> parking.
>
> Jean-François
>
>
> On Jan 24, 2014, at 1:23 PM, Jean-François Blanchette <[address removed]
> > wrote:
>
>> Hello,
>> As part of the Department of Information Studies' course on 'Data
>> Entrepreneurship', representatives from Fullscreen (https://www.fullsc...
>> ) 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
>> https://is.gseis.u...
>> https://is.gseis.u...
>>
>> Data entrepreneurship course syllabus: https://polaris.gs...
>> 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
>> https://polaris.gs...
>>
>>
>>
>>
>>
>> --
>> Please Note: If you hit "REPLY", your message will be sent to
>> everyone on this mailing list ([address removed])
>> This message was sent by Jean-François Blanchette ([address removed]
>> ) from The Los Angeles User Experience Meetup.
>> To learn more about Jean-François Blanchette, visit his/her member
>> profile
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>> Set my mailing list to email me As they are sent | In one daily
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>>
>> Meetup, POB 4668 #37895 NY NY USA 10163 | [address removed]
>
> --
> Jean-François Blanchette, Associate Professeur
> Dept. of Information Studies, UCLA
> https://polaris.gs...
>
>
>
>
>
> --
> Please Note: If you hit "REPLY", your message will be sent to
> everyone on this mailing list ([address removed])
> This message was sent by Jean-François Blanchette
> ([address removed]) from The Los Angeles User Experience Meetup.
> To learn more about Jean-François Blanchette, visit his/her member
> profile
> To report this message or block the sender, please click here
> Set my mailing list to email me As they are sent | In one daily
> email | Don't send me mailing list messages
>
> Meetup, POB 4668 #37895 NY NY USA 10163 | [address removed]
>
>
>
>
>
>
> --
> Please Note: If you hit "REPLY", your message will be sent to
> everyone on this mailing list ([address removed])
> This message was sent by zoe ([address removed]) from The Los
> Angeles User Experience Meetup.
> To learn more about zoe, visit his/her member profile
> To report this message or block the sender, please click here
> Set my mailing list to email me As they are sent | In one daily
> email | Don't send me mailing list messages
>
> Meetup, POB 4668 #37895 NY NY USA 10163 | [address removed]
--
Jean-François Blanchette, Associate Professeur
Dept. of Information Studies, UCLA
https://polaris.gs...