Unlocking Healthcare in Germany: From Problem to Prototype in a Fragmented Market

  Germany’s healthcare system is large but highly fragmented, with diverse hospital operators, state-specific data protection rules, Medical Device Regulation (MDR), complex reimbursement structures, and long procurement cycles. These conditions create significant challenges for developing and implementing healthcare solutions. What participants will do Participants will explore healthcare challenges in Germany and develop prototype ideas or […]

Preprocessing EHR Data: Common Pitfalls and Best Practices

Public datasets such as MIMIC provide de-identified electronic health records (EHRs) that are essential for accessible and reproducible healthcare research. Yet even subtle decisions in the preprocessing pipeline can compromise the validity of a study. Temporal leakage, feature–task misalignment, biased imputation, data drift, and limited reproducibility can all lead to models that appear successful while […]

Forecasting the Last Mile of Power Grids with Time Series Foundation Models

Reliable time-series forecasting is essential for operating a secure electricity system based on renewable energy. While forecasts at the level of countries or large regions benefit from the aggregation of many individual effects, forecasting becomes much more difficult at the “last mile” of the power grid. At the low-voltage level, where only a small number […]

Skills Set for Founders

Turning a research idea into a startup requires more than technical expertise. Founders need to understand the problem they are solving, communicate their value clearly, build effective teams, engage with users and partners, and navigate the early decisions that shape a young company. This workshop invites participants to explore the skills and mindsets that support […]

Small Language Models in Practice

Small Language Models are gaining traction as a practical alternative to large, cloud-hosted models. They can run on local hardware, provide greater control over sensitive data, and be adapted efficiently to specialised tasks. This presentation introduces Vision Language Models and shows how they can be deployed on local systems without relying on external APIs. It […]