Difference between revisions of "Earth Science Data Analytics"
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** Third Thursday of each month (3 - 4 p.m. EST) | ** Third Thursday of each month (3 - 4 p.m. EST) | ||
** Next Telecon: March 17, 2016 | ** Next Telecon: March 17, 2016 | ||
− | ** | + | **To join the meeting from your computer, tablet or smartphone, click: |
− | ** | + | **https://www.gotomeeting.com/join/407339749 |
+ | **You can also dial in using your phone. | ||
+ | ***United States: +1 (312) 757-3121 | ||
+ | ***Access Code: 407-339-749 | ||
* '''Cluster Contacts:''' Steve Kempler, Tiffany Mathews | * '''Cluster Contacts:''' Steve Kempler, Tiffany Mathews | ||
Revision as of 07:22, March 9, 2016
Mission:
To promote a common understanding of the usefulness of, and activities that pertain to, Data Analytics and more broadly, the Data Scientist; Facilitate collaborations between organizations that seek new ways to better understand the cross usage of heterogeneous datasets and organizations/individuals who can provide accommodating data analytics expertise, now and as the needs evolve into the future; Identify gaps that, once filled, will further collaborative activities.
Objectives
- Provide a forum for ‘Academic’ discussions that allow ESIP members to be better educated and on the same page in understanding the various aspects of Data Analytics
- Bring in guest speakers to describe overviews of external efforts and further teach us about the broader use of Data Analytics.
- Perform activities that:
--- Compile use cases generated from specific community needs to cross analyze heterogeneous data (could be ESIP members or external)
--- Compile experience sources on the use of analytics tools, in particular, to satisfy the needs of the above data users (also, could be ESIP members or external)
--- Examine gaps between needs and expertise
--- Document the specific data analytics expertise needed in above collaborations
- Seek graduate data analytics/ Data Science student internship opportunities
Resources |
Get Involved
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What links here: Earth Science Data Analytics
Earth_Science_Data_Analytics