User:Kbagstad: Difference between revisions
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|Cell phone member=773-236-2170 | |Cell phone member=773-236-2170 | ||
|Website member=https://www.usgs.gov/staff-profiles/kenneth-j-bagstad | |Website member=https://www.usgs.gov/staff-profiles/kenneth-j-bagstad | ||
|Working group member=Cyberinformatics and Numerics Working Group, Human Dimensions Focus Research Group, Ecosystem Dynamics Focus Research Group | |Working group member=Cyberinformatics and Numerics Working Group, Human Dimensions Focus Research Group, Ecosystem Dynamics Focus Research Group, Artificial Intelligence & Machine Learning Initiative, Modeling Platform Interoperability Initiative | ||
|Emaillist group member=yes | |Emaillist group member=yes | ||
|Description of your CSDMS-related interests member=Since 2007, I have been involved in a parallel semantic modeling project called ARIES (http://aries.integratedmodelling.org/). I'm interested in linking scientific data and models on the cloud to improve their reusability, particularly to address complex coupled human-natural systems questions. | |Description of your CSDMS-related interests member=Since 2007, I have been involved in a parallel semantic modeling project called ARIES (http://aries.integratedmodelling.org/). I'm interested in linking scientific data and models on the cloud to improve their reusability, particularly to address complex coupled human-natural systems questions. | ||
|Memberagreement=I have read and agree to the Privacy Policy | |||
}} | }} | ||
Latest revision as of 18:42, 10 January 2020
Ken Bagstad, website username login: Kbagstad
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Member of the following CSDMS groups
- Cyberinformatics and Numerics Working Group
- Human Dimensions Focus Research Group
- Ecosystem Dynamics Focus Research Group
- Artificial Intelligence & Machine Learning Initiative
- Modeling Platform Interoperability Initiative
Signed up for the mailing list: yes
Since 2007, I have been involved in a parallel semantic modeling project called ARIES (http://aries.integratedmodelling.org/). I'm interested in linking scientific data and models on the cloud to improve their reusability, particularly to address complex coupled human-natural systems questions.
