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--- working_groups:computational_earth_sciences:ai4es:meetings [2020/02/28 14:44]
cgome1 [Journal club]
+++ working_groups:computational_earth_sciences:ai4es:meetings [2020/08/07 11:13]
cgome1
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 ===== Meetings =====
-  * The first AI4ES brainstorming session was held in January 2020. The  {{ :working_groups:computational_earth_sciences:ai4es:ai4es_kickoff_slides.pdf |slides can be found here}}. Some of the possible actions that were discussed during the meeting:
+  * Meeting with the ESS group to discuss potential usages of AI to be explored in the coming months. A summary of the ideas can be found {{https://docs.google.com/document/d/1GMHRio9mFRrWPNy_uWaA7iMDdyPyBqySNug3zYOXzhs/edit#heading=h.9woicgy8bnb2|here}}.
-    * Meeting with Operations to talk about the needs for computing and AI //[DONE]//
-    * Meeting with Life sciences to explore collaborations and common needs //[SCHEDULED]
+  * The first AI4ES brainstorming session was held in January 2020. The  {{ :working_groups:computational_earth_sciences:ai4es:ai4es_kickoff_slides.pdf |slides can be found here}}.
-//
-    * Journal club, with biweekly meetings //[SCHEDULED]//
-    * Shared library (from my own Zotero one), papers about AI and AI4ES //[DONE]//
-    * Training about AI/ML for the BSC-ES department //[BEING PREPARED]//
-    * Coordinate work with current CES members. Possible hiring in 2021
-    * Continue the conversation with group leaders about potential projects //[CONTINUOUS]//
   * [[working_groups:computational_earth_sciences:ai4es:old_presentations|Old presentations (circa 2017)]]
-===== Journal club =====
-The AI4ES Journal Club will be scheduled on Tuesdays at 12:30 on the weeks when there is not a BSC-ES internal seminar. So in principle we will try to organize biweekly sessions.
-The first session of the AI4ES Journal Club will take place the 3rd of March 2020 at the "aula formación". Find below a detailed list of the sessions and the references discussed.
-==== Sessions ====
-  * 2020-03-03 [Carlos Gomez]: //"WeatherBench: A benchmark dataset for data-driven weather forecasting"// ([[https://arxiv.org/pdf/2002.00469.pdf|Arxiv]], [[https://github.com/pangeo-data/WeatherBench/|GitHub]])

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