Difference between revisions of "Earth Science Data Analytics/2014-08-21 Telecon"

Revision as of 16:08, September 5, 2014

ESDA Telecom notes – 8/21/14

Known Attendees:

ESIP Host (Erin), Steve Kempler, Ward, Chung-lin Shie, H. Joe Lee, Sara Graves, Joan Aron, Suhung Shen, Joan Aron, Seung Hee Kim, Robert Downs, Smiley

Agenda:

1 – Steve Kempler - Welcome back from Frisco

2 – Postponed to future telecon: - Guest Speakers: George Djorgovski, Cal Tech, who is interested in the roles of computation in knowledge discovery.

3 – Discussion: Descriptive Analytics

Notes:

Prior to working through the agenda, AGU sessions that pertain to Data Analytics was provided:

- Teaching Science Data Analytics Skills Needed to Facilitate Heterogeneous Data/Information Research: The Future Is Here - Session ID#: 1879

- Identifying and Better Understanding Data Science Activities, Experiences, Challenges, and Gaps Areas - Session ID#: 1809

- Advancing Analytics using Big Data Climate Information System - Session ID#: 3022

- Big Data in the Geosciences: New Analytics Methods and Parallel Algorithm - Session ID#: 3292

- Leveraging Enabling Technologies and Architectures to enable Data Intensive Science - Session ID#: 3041

- Open source solutions for analyzing big earth observation data - Session ID#: 3080

- Technology Trends for Big Science Data Management - Session ID#: 2525

As previously reported the ESDA Cluster session in Frisco was attended by people with a variety of interests... but still mostly to learn more about Data Analytics and its application to Earth science data utilized in furthering our understanding of our planet. The following observations from the Frisco session were reviewed:

- ESDA goal is to facilitate making information into knowledge

- The ESDA Cluster, attracting a lot of interest, continues to ’churn’ through the process of maturing their understanding and impacts of this new paradigm: Data Analytics and Data Science.

- Session participants were comprised of technologists and data users, with the majority of people, in attendance to ‘learn’.

- Thus, in the early stages of this Cluster life, we continue to emphasize learning, which will doubtlessly evolve into applying (shaping) the knowledge we gain into implementable techniques that facilitate the use and advancement of data analytics and data science.

More notes coming...

Next Telecon -> Meeting in Frisco:

October 16, 3:00 EST (Apologies, I will be out of the office 3 Thursdays in September)
Agenda (as of now)

- Listen and Learn - We will have 2 guest speakers to discuss their Analytics activities

- ESDA Activities - Discuss definitions for Diagnostics and Discoveritive Analytics

- Publish potential - Discuss Cluster joint paper loosely entitled: Data Analytics in Earth Science Research… but we can discuss

- Proposed Winter ESIP Meeting sessions

@@ Line 22: / Line 22: @@
 Prior to working through the agenda, AGU sessions that pertain to Data Analytics was provided:
-Teaching Science Data Analytics Skills Needed to Facilitate Heterogeneous Data/Information Research:  The Future Is Here - Session ID#: 1879
+- Teaching Science Data Analytics Skills Needed to Facilitate Heterogeneous Data/Information Research:  The Future Is Here - Session ID#: 1879
-Identifying and Better Understanding Data Science Activities, Experiences, Challenges, and Gaps Areas - Session ID#: 1809
-Advancing Analytics using Big Data Climate Information System - Session ID#: 3022
-Big Data in the Geosciences: New Analytics Methods and Parallel Algorithm - Session ID#: 3292
-Leveraging Enabling Technologies and Architectures to enable Data Intensive Science - Session ID#: 3041
-Open source solutions for analyzing big earth observation data - Session ID#: 3080
-Technology Trends for Big Science Data Management - Session ID#: 2525
+- Identifying and Better Understanding Data Science Activities, Experiences, Challenges, and Gaps Areas - Session ID#: 1809
+- Advancing Analytics using Big Data Climate Information System - Session ID#: 3022
-More coming...
+- Big Data in the Geosciences: New Analytics Methods and Parallel Algorithm - Session ID#: 3292
+- Leveraging Enabling Technologies and Architectures to enable Data Intensive Science - Session ID#: 3041
+- Open source solutions for analyzing big earth observation data - Session ID#: 3080
+- Technology Trends for Big Science Data Management - Session ID#: 2525
+As previously reported the ESDA Cluster session in Frisco was attended by people with a variety of interests... but still mostly to learn more about Data Analytics and its application to Earth science data utilized in furthering our understanding of our planet.  The following observations from the Frisco session were reviewed:
+- ESDA goal is to facilitate making information into knowledge
+- The ESDA Cluster, attracting a lot of interest, continues to ’churn’ through the process of maturing their understanding and impacts of this new paradigm: Data Analytics and Data Science.
+- Session participants were comprised of technologists and data users, with the majority of people, in attendance to ‘learn’.
+- Thus, in the early stages of this Cluster life, we continue to emphasize learning, which will doubtlessly evolve into applying (shaping) the knowledge we gain into implementable techniques that facilitate the use and advancement of data analytics and data science.
+More notes coming...