[Esip-esda] WebEx/Telecon info included: Next ESIP ESDA Telecon - August 21 (today) at 3 EST

Thu Aug 21 15:01:36 EDT 2014

Hi All -

Here is the link to join webex with no password:
https://esipfed.webex.com/esipfed/e.php?MTID=m0db50051047ee9069382f32538972353

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On Thu, Aug 21, 2014 at 12:14 PM, Kempler, Steven J. (GSFC-5860) via
Esip-esda <esip-esda at lists.esipfed.org> wrote:

>
>    -
>    -
>    - WebEx: https://esipfed.webex.com/ , 23136782
>    - Telecon: 1-877-668-4493, 23136782#
>
>
>   From: <Kempler>, Goddard DAAC <Steven.J.Kempler at nasa.gov>
> Date: Thursday, August 21, 2014 10:02 AM
> To: Goddard DAAC <Steven.J.Kempler at nasa.gov>, "esip-esda at lists.esipfed.org"
> <esip-esda at lists.esipfed.org>
> Subject: Reminder: Next ESIP ESDA Telecon - August 21 (today) at 3 EST
>
>   Looking forward to hearing you.
>
>
>   Hi,
>   Hope you are all doing well.
>
>  Reminder:  Our next ESIP ESDA Telecon will be Thursday, August 21, from
> 3 to 4 EST.
>
>  After our discussion at Frisco (see notes at:
> http://commons.esipfed.org/node/2352), let's review the outcomes of the
> meeting noted.  2 prime outcomes that I saw was:
>
>   1.  We need to address providing more information about the scope of
> Data Analytics, for folks who are learning about this new field
>  2.  We need to continue to refine, and further define, what data
> analytics means in Earth Science
>
>  Other thoughts?
>
>  Agenda:
>
>  1.  5 min - Welcome back from Frisco
>
>  2.  Postponed to future telecon:   20 min - Guest Speakers:  George Djorgovski,
> Cal Tech, who is interested  in the roles of computation in knowledge
> discovery.
>
>   3.  45 minutes – Discussion:  Descriptive Analytics
>
>   We have identified 5 types of Data Analytics.  Let's fully characterize
> each, one at a time.  Thus, at this telecon, let us  address the first
> type, Descriptive Analytics,.  This working discussion is intended to flush
> out what  exactly Descriptive Data Analytics means in Earth
> science  research.
>
>   Please think about the following and come to discuss:
>  - What Descriptive Analytics can mean in practice, and bound our
> 'definition'.
>  - Possible (or real) examples or exemplary situations
>  - Issues faces in implementing/utilizing Descriptive Analytics
>  - Potential Solutions?
>  - What kind of data users would utilize Descriptive Analytics
>
>  Reference:
>
> *Types of Data Analytics*
>
> *Descriptive Analytics:*  You can quickly understand "what happened"
> during a given period in the past and verify if a campaign was successful
> or not based on simple parameters.
> *Diagnostic Analytics:  *If you want to go deeper into the data you have
> collected from users in order to understand "Why some things happened," you
> can use … intelligence tools to get some insights.
> *Discovery Analytics:  *The use of data and analysis tools/models to
> discover information
> *Predictive Analytics:  *If you can collect contextual data and correlate
> it with other user behavior datasets, as well as expand user data … you
> enter a whole new area where you can get real insights.
> *Prescriptive Analytics:  *Once you get to the point where you can
> consistently analyze your data to predict what's going to happen, you are
> very close to being able to understand what you should do in order to
> maximize good outcomes and also prevent potentially bad outcomes. This is
> on the edge of innovation today, but it's attainable!
>
>  Also:  Descriptive Analytics --> hindsight
>
>  Comments always welcome.  More to come.
>
>  Looking forward to talking with you all.
>
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>
>
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