Methodology: Data Science and Engineering

Overview

Data Science and Engineering develops methods for systematic analysis of large amounts of data and extracting structures, models and forecast of such data. This also includes the handling of large amounts of data that are generated with high bandwidth in distributed sensor environments. The science field is methodologically located at the interfaces between statistic data analysis, database-based data management, networked system and the methods of machine reading and artificial intelligence.

Projects

Duration Funding provided by Topic
2026-2028 BMFTR Adaptives System zur Unterstützung der Entscheidungsfindung (ADAPTI-M)
2025-2028 BMWE Robustheit von Large Language Models in industriellen Anwendungen (Show2Instruct)
2025-2027 DFG Explorative Modeling and Simulation of Cognitive Agents (E-MoSi-CA)
2023-2026 BMWK Datengetriebene Simulation Manueller Prozesse in der Logistik (Data4Sim)