[Esip-esda] Next ESIP ESDA Telecon - Thursday, November 20 at 3 EST

Thu Nov 20 15:40:05 EST 2014

 <http://www.meetup.com/Federal-Big-Data-Working-Group/events/217631412/> Data Science for NSF Polar Cyberinfrastructure and MIT Big Data Course

·         6:30 p.m. Welcome and Introduction (New Tutorial and Mentoring)  <http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data> Data Science for IEEE Big Data

·         6:45 p.m. Dr. Chaitan Baru, Senior Advisor for Data Science in the CISE Directorate at the National Science Foundation (confirmed)  <http://semanticommunity.info/Data_Science/Data_Science_for_IEEE_Big_Data#Slides> Slides 

·         7:10 p.m. Brief Member Introductions 

·         7:30 p.m Dr. Marco Tedesco, NSF Polar CyberInfrastructure Program Manager (invited) and Dr. Chris Mattmann, Chief Architect, Instrument Software and Science Data Systems Section (398) NASA Jet Propulsion and NSF Polar CyberInfrastructure Hackathon Organizer (confirmed)  <http://semanticommunity.info/Data_Science/Data_Science_for_NSF_Polar_Cyberinfrastructure> Data Science for NSF Polar Cyberinfrastructure

·         8:15 p.m  <http://semanticommunity.info/Data_Science/Data_Science_for_Tackling_the_Challenges_of_Big_Data> Data Science for Tackling the Challenges of Big Data and Members Who Took the Course 

·         8:30 p.m. Open Discussion 

·         8:45 p.m. Networking 

·         9:00 p.m. Depart

From: Brand Niemann [mailto:bniemann at cox.net] 
Sent: Thursday, November 20, 2014 3:30 PM
To: 'Erin Robinson'; 'Kempler, Steven J. (GSFC-5860)'
Cc: 'esip-esda at lists.esipfed.org'
Subject: RE: [Esip-esda] Next ESIP ESDA Telecon - Thursday, November 20 at 3 EST

The second slide is a framework we use in the Federal Big Data Working Group Meetup like Ethan was suggesting.:)

From: Brand Niemann [mailto:bniemann at cox.net] 
Sent: Thursday, November 20, 2014 3:21 PM
To: 'Erin Robinson'; 'Kempler, Steven J. (GSFC-5860)'
Cc: 'esip-esda at lists.esipfed.org'
Subject: RE: [Esip-esda] Next ESIP ESDA Telecon - Thursday, November 20 at 3 EST

http://semanticommunity.info/Data_Science/Data_Science_for_Big_Data_Analytics#Slides 

BrandNiemann11182014Slide1.PNG

BrandNiemann11182014Slide2.PNG

From: Esip-esda [mailto:esip-esda-bounces at lists.esipfed.org] On Behalf Of Erin Robinson via Esip-esda
Sent: Thursday, November 20, 2014 3:00 PM
To: Kempler, Steven J. (GSFC-5860)
Cc: esip-esda at lists.esipfed.org
Subject: Re: [Esip-esda] Next ESIP ESDA Telecon - Thursday, November 20 at 3 EST

Hi All - Here is the link to join the meeting directly: https://esipfed.webex.com/esipfed/e.php?MTID=m5ba72671410a21eca10307f144edfeff

E

On Fri, Nov 14, 2014 at 8:22 AM, Kempler, Steven J. (GSFC-5860) via Esip-esda <esip-esda at lists.esipfed.org> wrote:

Hi,

Hope you are well.  Our next ESIP ESDA Telecon will be Thursday, November 20, from 3 to 4 EST.

§  WebEx:  <https://esipfed.webex.com/> https://esipfed.webex.com/ , 23136782

§  Telecon: 1-877-668-4493, 23136782#

Agenda:

1.  10 min – Recap of our last telecon on Diagnostic Analytics

2.  20 minutes – Discussion:  Descriptive and Predictive Analytics (and expand our current Data Analytics Type Comparisons Table.  For current table see:  http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics/2014-10-23_Telecon)

3.  20 minutes – Planning ahead discussion:  

- Winter ESIP Meeting ESDA Planning:  Sessions; Suggestions for guest 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

4.  10 minutes - Open Mic – Thoughts, Ideas

Please think about the following discussion points:  

- 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

For 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.

Steve

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