Name: FAIR-DI European Conference on Data Intelligence 2024
Start: 2024-10-27T15:00:00+01:00
End: 2024-10-30T14:00:00+01:00
Location: Achat Hotel Karlsruhe City

FAIR-DI European Conference on Data Intelligence 2024

from Sunday, October 27, 2024 (3:00 PM) to Wednesday, October 30, 2024 (2:00 PM)

Monday, October 21, 2024
Tuesday, October 22, 2024
Wednesday, October 23, 2024
Thursday, October 24, 2024
Friday, October 25, 2024
Saturday, October 26, 2024
Sunday, October 27, 2024

4:30 PM

4:30 PM - 6:30 PM

6:30 PM

6:30 PM - 8:00 PM

8:00 PM

8:00 PM - 9:00 PM

Monday, October 28, 2024
8:45 AM
8:45 AM - 10:30 AM
Contributions

8:45 AM Machine-learning assisted discovery and characterization of materials - Miguel Marques

9:25 AM C01

9:45 AM C02

10:05 AM C03
10:30 AM

10:30 AM - 11:00 AM
11:00 AM
11:00 AM - 1:00 PM
Contributions

11:00 AM Auto-generated Materials Databases and Language Models - Jacqui Cole

11:40 AM C04

12:00 PM C05

12:20 PM C06

12:40 PM C07
1:00 PM

1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 4:00 PM
Contributions

2:00 PM From the Roots of Data Science to Machine Learning of Materials’ Microstructures and Properties - Stefan Sandfeld

2:40 PM C08

3:00 PM C09

3:20 PM C10

3:40 PM C11
4:00 PM

4:00 PM - 4:30 PM
4:30 PM
4:30 PM - 6:30 PM
Contributions

4:30 PM Transforming chemistry with transformers - Kevin Jablonka

5:10 PM C12

5:30 PM C13

5:50 PM C14

6:10 PM C15
6:30 PM

6:30 PM - 8:00 PM

8:00 PM

8:00 PM - 9:00 PM
Tuesday, October 29, 2024
8:45 AM
8:45 AM - 10:30 AM
Contributions

8:45 AM Machine-learning you can trust: interpretability and uncertainty quantification in chemical machine learning - Michele Ceriotti

9:25 AM C16

9:45 AM C17

10:05 AM C18
10:30 AM

10:30 AM - 11:00 AM
11:00 AM
11:00 AM - 1:00 PM
Contributions

11:00 AM AI-ready materials science data - Jose Marquez (Humboldt University of Berlin)

11:40 AM C19

12:00 PM C20

12:20 PM C21

12:40 PM C22
1:00 PM

1:00 PM - 2:00 PM
2:00 PM
2:00 PM - 4:00 PM
Contributions

2:00 PM Correlative characterization and data science in functional materials - Francesca Toma

2:40 PM C23

3:00 PM C24

3:20 PM C25

3:40 PM C26
4:00 PM

4:00 PM - 4:30 PM
4:30 PM
4:30 PM - 6:30 PM
Contributions

4:30 PM The Role of Data Intelligence in Chemistry Research Data Infrastructures - Nicole Jung

5:10 PM C27

5:30 PM C29

5:50 PM C30

6:10 PM C28
6:30 PM

6:30 PM - 8:00 PM

8:00 PM

8:00 PM - 9:00 PM
Wednesday, October 30, 2024
8:45 AM
8:45 AM - 10:30 AM
Contributions

8:45 AM Active learning for data-efficient optimisation of materials and processes - Milica Todorovic

9:25 AM C31

9:45 AM C32

10:05 AM C33
10:30 AM

10:30 AM - 11:00 AM
11:00 AM
11:00 AM - 1:00 PM
Contributions

11:00 AM Accelerating formulation design by understanding the physical properties of complex molecular ensembles - William Robinson

11:40 AM C34

12:00 PM C35

12:20 PM C36

12:40 PM C37
1:00 PM

1:00 PM - 2:00 PM