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SUMMARY:Data Champions Lunch Talks "AI and research data\, a new synergy"
DTSTART:20230907T123000
DTEND:20230907T140000
DTSTAMP:20260510T012920Z
UID:ec32946da1d627f410e4d1b2c72baf7f7a7e839b7cc31a83929fff96
CATEGORIES:Conferences - Seminars
DESCRIPTION:Alexander Mathis\, Simon Durr\, Roberto Castello\, Gaia Bar
 azzetti\nThe slides are available here: go.epfl.ch/dc-talks-2023\n\n------
 -------------------------------------------------------------------------\
 n\nThe EPFL Data Champions community is pleased to invite you to its tradi
 tional Lunch Talks. The next session will take place on September 7th from
  12:30pm to 2pm in CM 1 120 on the topic "AI and research data\, a new syn
 ergy". The event is free upon registration.\n\nAfter a short introduction 
 by Chiara Gabella\, Head of Research Data Management Team at EPFL Library\
 , you will have the chance to hear the following talks:\n\n	“Open-source
 \, models and data in neuroscience”\n	by Alexander Mathis\, Assistant P
 rofessor\, Head of the Mathis Group\, Computational Neuroscience & AI of E
 PFL\n	 \n	"FAIR Deployment of AI models"\n	by Simon Durr\, PhD Student E
 PFL Chemistry\, HuggingFace Fellow and EPFL Data Champion\n	 \n	"An ordin
 ary day at the SDSC\, aka how we accelerate the adoption of AI to boost yo
 ur data"\n	by Roberto Castello\, Data Scientist at SDSC\, and EPFL Data Ch
 ampion\n	 \n	"AI and research data: ethics compliance issues"\n	by Gaia B
 arazzetti\, Research Ethics Compliance Officer at EPFL Research Office\n\n
 After the talks\, you will have the opportunity to ask your questions to t
 he speakers during an open networking moment.\n\nSandwiches and drinks are
  offered for each participant by the EPFL Library.\n\nTo conclude the even
 t\, Chiara Gabella\, Francesco Varrato (EPFL RDM Team) and Noémie Maza
 ré (EPFL Open Science Unit) will moderate discussions on community overha
 ul proposals for Data Champions.\n\nThe event is open to everyone interest
 ed.
LOCATION:CM 1 120 https://plan.epfl.ch/?room==CM%201%20120
STATUS:CONFIRMED
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