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UID:news184@researchdata.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20241203T160148
DTSTART;TZID=Europe/Zurich:20241118T091500
SUMMARY:Research Data Management and Artificial Intelligence
DESCRIPTION:Together we would like to discuss and explore the topic of rese
 arch data management and artificial intelligence (AI). At the beginning of
  the course\, CeDA will give a general introduction and contextualization 
 to AI. Afterwards we will explore two specific AI topics that are relevant
  for data stewards and researchers at the University of Basel.\\r\\nYou wi
 ll get an input on “FAIR use of GPT generated data” by RISE and “Ret
 rieval Augmented Generation (RAG)” by CeDA as well as the opportunity to
  discuss the two topics with your colleagues in a World Café format.\\r\\
 nWe will conclude the course with a plenary discussion about RDM\, AI and 
 possible next steps.\\r\\nContent\\r\\n 	General introduction and contextu
 alization of AI (CeDA) 	World Café 	 		Table 1: FAIR use of GPT generated
  data (RISE) 		Table 2: RAG – Retrieval Augmented Generation (CeDA) 	 	 
 	Plenary discussion and next steps \\r\\nTrainers\\r\\n 	Geoffrey Fucile &
  Rodrigo C. G. Pena (Center for Data Analytics [https://ceda.unibas.ch] Ce
 DA\, University of Basel) 	Maximilian Hindermann (Research & Infrastructur
 e Support [https://rise.unibas.ch/de/] RISE\, University of Basel) \\r\\nW
 orkshop language\\r\\n 	English \\r\\nData stewards and other members of t
 he university's RDM Network will be invited to this course by email. Other
  people who are interested in taking part in the course are asked to conta
 ct the coordination of the Data Stewardship Program (researchdata@unibas.c
 h [mailto:researchdata@unibas.ch]).
X-ALT-DESC:<p>Together we would like to discuss and explore the topic of re
 search data management and artificial intelligence (AI). At the beginning 
 of the course\, CeDA will give a general introduction and contextualizatio
 n to AI. Afterwards we will explore two specific AI topics that are releva
 nt for data stewards and researchers at the University of Basel.</p>\n<p>Y
 ou will get an input on “FAIR use of GPT generated data” by RISE and 
 “Retrieval Augmented Generation (RAG)” by CeDA as well as the opportun
 ity to discuss the two topics with your colleagues in a World Café format
 .</p>\n<p>We will conclude the course with a plenary discussion about RDM\
 , AI and possible next steps.</p>\n<p><strong>Content</strong></p>\n<ul> 	
 <li><span><span><span><span>General introduction and contextualization of 
 AI (CeDA)</span></span></span></span></li> 	<li><span><span><span><span>Wo
 rld Café</span></span></span></span> 	<ul> 		<li><span><span><span><span>
 Table 1: FAIR use of GPT generated data (RISE)</span></span></span></span>
 </li> 		<li><span><span><span><span>Table 2: RAG – Retrieval Augmented G
 eneration (CeDA)</span></span></span></span></li> 	</ul> 	</li> 	<li><span
 ><span><span><span>Plenary discussion and next steps</span></span></span><
 /span></li> </ul>\n<p><strong>Trainers</strong></p>\n<ul> 	<li><span><span
 ><span><span>Geoffrey Fucile &amp\; Rodrigo C. G. Pena (<a href="https://c
 eda.unibas.ch" title="https://ceda.unibas.ch">Center for Data Analytics</a
 > CeDA\, University of Basel)</span></span></span></span></li> 	<li><span>
 <span><span><span>Maximilian Hindermann (<a href="https://rise.unibas.ch/d
 e/" title="https://rise.unibas.ch/de/">Research &amp\; Infrastructure Supp
 ort</a> RISE\, University of Basel)</span></span></span></span></li> </ul>
 \n<p><strong>Workshop language</strong></p>\n<ul> 	<li>English</li> </ul>\
 n<p>Data stewards and other members of the university's RDM Network will b
 e invited to this course by email. Other people who are interested in taki
 ng part in the course are asked to contact the coordination of the Data St
 ewardship Program (<a href="mailto:researchdata@unibas.ch" title="research
 data@unibas.ch">researchdata@unibas.ch</a>).</p>
DTEND;TZID=Europe/Zurich:20241118T111500
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