FAIR-DI European Conference on Data Intelligence 2024
Wann
27. bis 30. Oktober 2024
Wo
Karlsruhe
Veranstaltet von
FAIR-DI e.V.
Vortragende Person/Vortragende Personen:
verschiedene
Building on the success of previous editions, we are pleased to announce the upcoming FAIR-DI European Conference on Data Intelligence 2024. Following the remarkable achievements and insightful discussions at the 2020 and 2022 Conferences on a FAIR Data Infrastructure for Materials Genomics, we are excited to continue the discussion and further collaboration and innovation in this growing field with the theme of Data Intelligence.
Conference topics:
- The “NFDI Cosmos”
- Data management, stewardship & databases (FAIR research, repositories, ontologies, error quantification, etc.)
- Machine learning (ML) applications using existing data repositories
- New strategies for materials synthesis based on ML-approaches
- Developing strategies for scale-bridging workflows in computational materials science
- Digital twins
- High-throughput simulation
- Automation (autonomous experimentation)
The conference aims at exploring these and related topics, bringing the community closer together, and fostering discerning discussions and new collaborations. The conference program will include invited talks, contributed talks, and two poster sessions.
Link to abstract submission and registration.
FAIR-DI European Conference on Data Intelligence 2024
Wann
27. bis 30. Oktober 2024
Wo
Karlsruhe
Veranstaltet von
FAIR-DI e.V.
Vortragende Person/Vortragende Personen:
verschiedene
Building on the success of previous editions, we are pleased to announce the upcoming FAIR-DI European Conference on Data Intelligence 2024. Following the remarkable achievements and insightful discussions at the 2020 and 2022 Conferences on a FAIR Data Infrastructure for Materials Genomics, we are excited to continue the discussion and further collaboration and innovation in this growing field with the theme of Data Intelligence.
Conference topics:
- The “NFDI Cosmos”
- Data management, stewardship & databases (FAIR research, repositories, ontologies, error quantification, etc.)
- Machine learning (ML) applications using existing data repositories
- New strategies for materials synthesis based on ML-approaches
- Developing strategies for scale-bridging workflows in computational materials science
- Digital twins
- High-throughput simulation
- Automation (autonomous experimentation)
The conference aims at exploring these and related topics, bringing the community closer together, and fostering discerning discussions and new collaborations. The conference program will include invited talks, contributed talks, and two poster sessions.
Link to abstract submission and registration.
FAIR-DI European Conference on Data Intelligence 2024
Wann
27. bis 30. Oktober 2024
Wo
Karlsruhe
Veranstaltet von
FAIR-DI e.V.
Vortragende Person/Vortragende Personen:
verschiedene
Building on the success of previous editions, we are pleased to announce the upcoming FAIR-DI European Conference on Data Intelligence 2024. Following the remarkable achievements and insightful discussions at the 2020 and 2022 Conferences on a FAIR Data Infrastructure for Materials Genomics, we are excited to continue the discussion and further collaboration and innovation in this growing field with the theme of Data Intelligence.
Conference topics:
- The “NFDI Cosmos”
- Data management, stewardship & databases (FAIR research, repositories, ontologies, error quantification, etc.)
- Machine learning (ML) applications using existing data repositories
- New strategies for materials synthesis based on ML-approaches
- Developing strategies for scale-bridging workflows in computational materials science
- Digital twins
- High-throughput simulation
- Automation (autonomous experimentation)
The conference aims at exploring these and related topics, bringing the community closer together, and fostering discerning discussions and new collaborations. The conference program will include invited talks, contributed talks, and two poster sessions.
Link to abstract submission and registration.