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
Arrival & Coffee
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1
Welcome & Overview
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2
NFDI4DS at a Glance
Introduction to NFDI4DataScience and it's task areas and working groups
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a) TA1 Community and Training
Task Area 1: Community and Training
Speaker: Anna-Lena Lorenz (TIB) -
b) TA2 Research Knowledge Graphs
Task Area 2: Research Knowledge Graphs
Speaker: Peter Mutschke (GESIS) -
c) TA3 Infrastructure and Services
Task Area 3: Infrastructure and Services
Speaker: Leyla Jael Garcia-Castro (ZB MED) -
d) TA4 Transfer and Application
Task Area 4: Transfer and Application
Speaker: Raia Abu Ahmad (DFKI) -
e) WG1 Shared Tasks
Working Group 1: Shared Tasks
Speaker: Raia Abu Ahmad (DFKI) -
f) WG2 Metadata
Working Group 2: Metadata
Speaker: Peter Mutschke (GESIS)
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3
Collaborators
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a) OpenAIRE
OpenAIRE
Speaker: Natalia Manola (OpenAIRE) -
b) Cluster of Excellence: Machine Learning - New Perspectives for Science
Cluster of Excellence: Machine Learning - New Perspectives for Science
Speaker: Tilmann Gocht (Uni Tübingen) -
c) FAIR Research Data Management with PIDs: Insights from PID4NFDI
FAIR Research Data Management with PIDs: Insights from PID4NFDI
Speaker: Jana Böhm (GWDG, PID4NFDI) -
d) The BERD Services
The BERD Services
Speaker: Ulrich Krieger (Uni Mannheim, BERD@NFDI) -
e) Introduction to NFDIxCS
Introduction to NFDIxCS - National Research Data Infrastructure for and with Computer Science
Speaker: Anh Duc Vu (GI, NFDIxCS)
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4
Questions & Discussion
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10:30 AM
Coffee Break
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5
NFDI4DS Deep Dive 1
Deep Dive into the NFDI4DataScience Task Areas
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a) Dive into TA 1 Community and TrainingSpeaker: Anna-Lena Lorenz (TIB)
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b) Dive into TA 2 Research Knowledge GraphsSpeaker: Peter Mutschke (GESIS)
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c) Dive into TA 3 Infrastructure and ServicesSpeaker: Leyla Jael Castro (ZB MED Information Centre for Life Sciences)
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d) Dive into TA 4 Transfer and ApplicationSpeaker: Raia Abu Ahmad (DFKI)
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6
NFDI Science Slam
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a) Overview of NFDI
NFDI Overview
Speaker: Cord Wiljes (NFDI e.V.) -
b) The Fairytale of Base4NFDI
The Fairytale of Base4NFDI
Speaker: Franziska Fritsche (GESIS, Base4NFDI)
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7
Questions & Discussion
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12:15 PM
Lunch Break
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8
NFDI4DS Deep Dive 2
Deep Dive into NFDI4DataScience Working Groups
Talks to specialized topics
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a) Dive into WG 1 Shared TasksSpeaker: Raia Abu Ahmad (DFKI)
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b) Dive into WG 2 MetadataSpeaker: Peter Mutschke (GESIS)
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c) FAIR principles for Machine Learning models
FAIR principles for Machine Learning models
Speaker: Fidan Limani (ZBW, NFDI4DS) -
d) Extracting Machine Learning Model and Dataset Mentions from Large Bibliographic Corpora
Extracting Machine Learning Model and Dataset Mentions from Large Bibliographic Corpora
Speaker: Sharmila Upadhyaya (NFDI4DS)
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9
Questions & Discussion
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10
Panel Discussion
Meet our Panelists
TBD
Questions and moderation by Sonja Schimmler (Fraunhofer FOKUS & TU Berlin, NFDI4DS)
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11
Outlook & Goodbye
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3:00 PM
Coffee & Departure
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8:30 AM