2024 NFDI4DS ConferenceIn-Person Event
Hall
Berlin Weizenbaum Institute
2024 NFDI4DS Conference
Dear community,
we are excited to announce this year's NFDI4DS conference.
This year we are co-located with the EOSC Symposium and the EOSCxNFDI event in Berlin as well as our 2024 NFDI Science Slam.
The vision of NFDI4DS is to support all steps of the complex and interdisciplinary research data lifecycle, including collecting/creating, processing, analyzing, publishing, archiving, and reusing resources in Data Science and Artificial Intelligence.
The overarching objective of NFDI4DS is the development, establishment, and sustainment of a national research data infrastructure (NFDI) for the Data Science and Artificial Intelligence community in Germany.
Interested in giving in lightning talk? Please contact us via: nfdi4ds@fokus.fraunhofer.de
Our conference venue is the Weizenbaum Institut within walking distance to Berlin Zoo.
We look forward to seeing you at the event.
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8:30 AM
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9:00 AM
Arrival & Coffee 30m
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9:00 AM
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9:15 AM
Welcome & Overview 15m
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9:15 AM
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9:45 AM
NFDI4DS at a Glance 30m
Introduction to NFDI4DataScience and it's task areas and working groups
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TA1 Community and Training 5m
Task Area 1: Community and Training
Speaker: Anna-Lena Lorenz (TIB) -
TA2 Research Knowledge Graphs 5m
Task Area 2: Research Knowledge Graphs
Speaker: Peter Mutschke (GESIS) -
TA3 Infrastructure and Services 5m
Task Area 3: Infrastructure and Services
Speaker: Leyla Jael Garcia-Castro (ZB MED) -
TA4 Transfer and Application 5m
Task Area 4: Transfer and Application
Speaker: Raia Abu Ahmad (DFKI) -
WG1 Shared Tasks 5m
Working Group 1: Shared Tasks
Speaker: Raia Abu Ahmad (DFKI) -
WG2 Metadata 5m
Working Group 2: Metadata
Speaker: Peter Mutschke (GESIS)
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9:45 AM
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10:15 AM
Collaborators 30m
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OpenAIRE 6m
OpenAIRE
Speaker: Natalia Manola (OpenAIRE) -
Cluster of Excellence: Machine Learning - New Perspectives for Science 6m
Cluster of Excellence: Machine Learning - New Perspectives for Science
Speaker: Tilmann Gocht (Uni Tübingen) -
FAIR Research Data Management with PIDs: Insights from PID4NFDI 6m
FAIR Research Data Management with PIDs: Insights from PID4NFDI
Speaker: Jana Böhm (GWDG, PID4NFDI) -
The BERD Services 6m
The BERD Services
Speaker: Ulrich Krieger (Uni Mannheim, BERD@NFDI) -
Introduction to NFDIxCS 6m
Introduction to NFDIxCS - National Research Data Infrastructure for and with Computer Science
Speaker: Anh Duc Vu (GI, NFDIxCS)
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10:15 AM
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10:30 AM
Questions & Discussion 15m
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10:30 AM
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11:00 AM
Coffee Break 30m
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11:00 AM
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11:30 AM
NFDI4DS Deep Dive 1 30m
Deep Dive into the NFDI4DataScience Task Areas
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Dive into TA 1 Community and Training 10mSpeaker: Anna-Lena Lorenz (TIB)
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Dive into TA 2 Research Knowledge Graphs 10mSpeaker: Peter Mutschke (GESIS)
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Dive into TA 3 Infrastructure and Services 10mSpeaker: Leyla Jael Castro (ZB MED Information Centre for Life Sciences)
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Dive into TA 4 Transfer and Application 10mSpeaker: Raia Abu Ahmad (DFKI)
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11:30 AM
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12:00 PM
NFDI Science Slam 30m
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Overview of NFDI 15m
NFDI Overview
Speaker: Cord Wiljes (NFDI e.V.) -
The Fairytale of Base4NFDI 15m
The Fairytale of Base4NFDI
Speaker: Franziska Fritsche (GESIS, Base4NFDI)
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12:00 PM
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12:15 PM
Questions & Discussion 15m
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12:15 PM
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1:15 PM
Lunch Break 1h
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1:15 PM
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1:45 PM
NFDI4DS Deep Dive 2 30m
Deep Dive into NFDI4DataScience Working Groups
Talks to specialized topics
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Dive into WG 1 Shared Tasks 10mSpeaker: Raia Abu Ahmad (DFKI)
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Dive into WG 2 Metadata 10mSpeaker: Peter Mutschke (GESIS)
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FAIR principles for Machine Learning models 10m
FAIR principles for Machine Learning models
Speaker: Fidan Limani (ZBW, NFDI4DS) -
Extracting Machine Learning Model and Dataset Mentions from Large Bibliographic Corpora 10m
Extracting Machine Learning Model and Dataset Mentions from Large Bibliographic Corpora
Speaker: Sharmila Upadhyaya (NFDI4DS)
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1:45 PM
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2:00 PM
Questions & Discussion 15m
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2:00 PM
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2:45 PM
Panel Discussion 45m
Meet our Panelists
TBD
Questions and moderation by Sonja Schimmler (Fraunhofer FOKUS & TU Berlin, NFDI4DS)
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2:45 PM
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3:00 PM
Outlook & Goodbye 15m
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3:00 PM
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3:30 PM
Coffee & Departure 30m
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8:30 AM
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9:00 AM