[Esip-esda] Next ESIP ESDA Telecon - October 23 at 3 EST

Wed Oct 15 08:17:40 EDT 2014

My Story and Slides for the upcoming November 18-19th Symposium on
Predictive Analytics For Defense and Government:

http://semanticommunity.info/Data_Science/Data_Science_for_Big_Data_Analytic
s

Our response to the new NOAA RFI based on our Data Science for NOAA Big Data
research:

http://semanticommunity.info/Data_Science/Data_Science_for_NOAA_Big_Data 

We would welcome ESIP participation at our upcoming Meetup to discuss this:

http://www.meetup.com/Federal-Big-Data-Working-Group/events/213175262/

From: Esip-esda [mailto:esip-esda-bounces at lists.esipfed.org] On Behalf Of
Kempler, Steven J. (GSFC-5860) via Esip-esda
Sent: Tuesday, October 14, 2014 11:44 AM
To: Kempler, Steven J. (GSFC-5860); esip-esda at lists.esipfed.org
Cc: George Djorgovski
Subject: [Esip-esda] Next ESIP ESDA Telecon - October 23 at 3 EST

Hi,

Hope you are all doing well.

Reminder:  Our next ESIP ESDA Telecon will be Thursday, October 23, from 3
to 4 EST.

After our discussion at Frisco and our last telecon,  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 - Recap of our last telecon on Descriptive ANalytics

2.  15 min - Guest Speakers:  George Djorgovski, Cal Tech, who is interested
in the roles of computation in knowledge discovery.

3.  20 minutes - Discussion:  Diagnostic Analytics (and how it compares to
Descriptive Analytics

4.  15 minutes - Planning ahead discussion:  

- December Breakouts:  Suggestions or quest speakers

- Are we starting to learn enough to write a paper on the Types of Data
Analytics Utilized in (the various phases of) Earth Science

Please think about the following and come to discuss:  

- What Diagnostic Analytics can mean in practice, and bound our
'definition'.

- Possible (or real) examples or exemplary situations

- Issues faces in implementing/utilizing Diagnostic Analytics

- Potential Solutions?

- What kind of data users would utilize Diagnostic 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.
Discoverative 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!

Comments always welcome.  More to come.

Looking forward to talking with you all.

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