Difference between revisions of "Earth Science Data Analytics/2016-8-18 Telecon"
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1. Next steps for ESDA Cluster | 1. Next steps for ESDA Cluster | ||
− | + | 2. Open Mic – What else should we be addressing? | |
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− | + | For the topic, where can ESDA Cluster go from here, the following ideas were floated, consistent with our goals: | |
− | Validate our work | + | - Validate our work |
− | Prototype | + | - Prototype |
Have a sandbox for using the tools | Have a sandbox for using the tools | ||
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Move from tabular data to data visualization | Move from tabular data to data visualization | ||
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Current EPA/ORD/Earth science related work - Infrastructure, Analytics | Current EPA/ORD/Earth science related work - Infrastructure, Analytics | ||
− | Intra-agency work/potential collaborations | + | Intra-agency work/potential collaborations: EPA/CDC ecological niche modeling of vector borne diseases potential project; NASA/NOAA/USGS/EPA CyAN project; EPA/Chesbay Conservancy automated visual recognition projects |
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− | + | Tools/techniques discussion/update | |
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Other moving forward thoughts: | Other moving forward thoughts: | ||
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- What tools /techniques can we address first? What problem to solve | - What tools /techniques can we address first? What problem to solve | ||
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- Invite and drill into projects already utilizing data analytics (e.g.,EPA Projects) | - Invite and drill into projects already utilizing data analytics (e.g.,EPA Projects) | ||
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2A. Joan: Look at what other ESIP Clusters are doing that can be helpful. For example, talk to Dave Jones, Disaster Cluster, about the data analytics he is utilizing. | 2A. Joan: Look at what other ESIP Clusters are doing that can be helpful. For example, talk to Dave Jones, Disaster Cluster, about the data analytics he is utilizing. | ||
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Shea: Brought up Chris Mattman’s SciSpark talk. | Shea: Brought up Chris Mattman’s SciSpark talk. | ||
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Can we be the conduit between ESIP ESDA tool interests (e.g., SciSPark) and heterogeneous data innsue (e.g., Disaster Data). This may be a good prototype that might experimentally benefit both groups, and be exemplary for further such prototyping. | Can we be the conduit between ESIP ESDA tool interests (e.g., SciSPark) and heterogeneous data innsue (e.g., Disaster Data). This may be a good prototype that might experimentally benefit both groups, and be exemplary for further such prototyping. | ||
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Also, let’s provde a activity slide for Annie for SciDataCon (Steve can do this) | Also, let’s provde a activity slide for Annie for SciDataCon (Steve can do this) | ||
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===Next Meeting:=== | ===Next Meeting:=== |
Revision as of 23:03, September 12, 2016
ESDA Telecon notes – 8/18/16
Known Attendees:
ESIP Hosts (Annie Burgess), Steve Kempler, Emily Northup, Beth Huffer, Byron Peters, Lindsay Barbieri, Chung-Lin Shie, Shea Caspersen, Annie Burgess, Tiffany Mathews, Angela Li, Robert Downs, Joan Aron, Tripp Corbett
Agenda:
Agenda
1. Next steps for ESDA Cluster
2. Open Mic – What else should we be addressing?
Presentations:
None
Notes:
Thank you all for attending and participating in our telecon
For the topic, where can ESDA Cluster go from here, the following ideas were floated, consistent with our goals:
- Validate our work
- Prototype
Have a sandbox for using the tools
List DA projects that people are working on
List potential problems that DA could be applied to
List challenges to doing more DA
List potential solutions to the challenges
Move from tabular data to data visualization
We can also become more involved with interagency work:
Intro/background related to Earth system science
Current EPA/ORD/Earth science related work - Infrastructure, Analytics
Intra-agency work/potential collaborations: EPA/CDC ecological niche modeling of vector borne diseases potential project; NASA/NOAA/USGS/EPA CyAN project; EPA/Chesbay Conservancy automated visual recognition projects
Tools/techniques discussion/update
Other moving forward thoughts:
- What tools /techniques can we address first? What problem to solve
- Invite and drill into projects already utilizing data analytics (e.g.,EPA Projects)
1. Tiffany: Focus on what individuals are working on that use particular ESDA techniques. Should be Use Case driven. Bring light to tool/technique via use case. Would need to choose candidates
2. Protoype: Utilize a ESDA tool to solve a data problem. Could have breakout groups to look at different tools/technique
2A. Joan: Look at what other ESIP Clusters are doing that can be helpful. For example, talk to Dave Jones, Disaster Cluster, about the data analytics he is utilizing.
Shea: Brought up Chris Mattman’s SciSpark talk.
Can we be the conduit between ESIP ESDA tool interests (e.g., SciSPark) and heterogeneous data innsue (e.g., Disaster Data). This may be a good prototype that might experimentally benefit both groups, and be exemplary for further such prototyping.
Also, let’s take the opportunity to entice others interested in ESDA technologies
Also, let’s provde a activity slide for Annie for SciDataCon (Steve can do this)
Next Meeting:
September 15, 2016
Agenda:
1. Next Steps
2. Open Mic – What else should we be addressing?
Actions:
1. All: From the Techniques/Goals/Types matrix (https://docs.google.com/spreadsheets/d/1Xg4zYqAqrfu6NMdQtTYJn50J8kXpjpQBC0exX3XYOVQ/edit#gid=0)...
Go down ESDA Type columns entitled: Data Preparation, Data Reduction, and Data Analysis, and delete the techniques (starting on row 16) that can NOT be applied to that column ESDA type. Thus, the techniques that remain, are those that CAN be applied to that column ESDA type. If you are not sure what the technique is, please see technique descriptions at the Google Spreadsheet: https://docs.google.com/spreadsheets/d/1Xv8qySG4k6p8Y3rOYLonWlahwKPT86MCuJoIT3wske8/edit#gid=0 starting on line 33.
Please ask for permission to edit. So that we don't edit over each other, please download a copy to edit, and send back to Steve, or ask Steve to send you a copy to edit.
Please spend a little time and provide back by Friday, June 24. That would be great.
Step 2 would be mapping techniques to goals. More to come on this.
2. All - For our Cluster face to face in Durham: Please identify one or two multi-data researchers who would be willing to provide insights into their experiences and needs for accessing and preparing data for co-analysis of heterogeneous data.