About

The presentation of the results of a mathematical analysis can often be done in different ways. Since “small data” leads or should lead to decisions/actions, the presentation plays an important role. Small data sets may not contain “a lot of data”, but they do contain “many possible interpretations”. The final conference covers the aspects of “interpretation, explanation and knowledge gain”. Mathematical, methodical representations are sought that depict the wealth of possible interpretations. Here again (as within the previous semester activities), an interface or cooperation between different disciplines must be constructed.

Program (Preliminary)

 

Monday 11.3.2024

Venue: Zuse Institute Berlin, Takustraße 7, 14195 Berlin

 

09:00 – 10:00    Welcome / Onsite Registration

10:00 – 10:30    Introduction – Marcus Weber (ZIB)

10:30 – 11:15    Decision Theatre – Sarah Wolf (FU Berlin)

11:15 – 12:00    Learning from Small Data by Patch Normalizing Flow Regularization – Fabian Altekrüger (HU Berlin)

12:00 – 13:30    Lunch Break

13:30 – 14:15    Small Data and AI for Exploring Chemical Space  – Christopher Secker, Konstantin Fackeldey (TU Berlin)

14:15 – 15:00    MaRDI, NFDI, and knowledge graphs – Karsten Tabelow & Thomas Kubrucki (WIAS), Marco Reidelbach (ZIB)

15:00 – 15:30    Coffee Break

15:30 – 16:15    Geometric learning for quantitative analysis of stone tool reduction sequences – Christoph von Tycowicz, Elodie Maignant, & Julius Mayer (ZIB)  

16:15 – 17:00    Get-Together

 

Tuesday 12.3.2024

Venue: Villa Engler, Altensteinstein 2, 14195 Berlin

09:00 – 10:30    3 Parallel Sessions

• Small Data Analysis – Marcus Weber
• Decision Theatre in action – Sarah Wolf
• Learning from Small Data – Fabian Altekrüger

10:30 – 12:00    3 Parallel Sessions

• Exploring Chemical Space with AI
• MaRDMO demonstration – Marco Reidelbach
• Geometric Learning – Christoph von Tycowicz

12:00 – 13:00    Lunch Break

13:00 – 14:00    Keynote – David A. Smith (Northeastern U) and Ryan Charles Cordell (U Illinois)

ALL DATASETS ARE SMALL (IF YOU ZOOM FAR ENOUGH)

14:00 – 14:30    Keynote – Youssef Nader (FU Berlin)

RESURRECTING ANCIENT SCROLLS WITH AI

14:30 – 15:30    Fish-Bowl-Discussion

15:30 – 17:00    “Goodbye Thematic Einstein Semester“