SLM4IE is an ARIS-funded postdoctoral research project focused on developing computationally efficient Small Language Models (SLMs) for zero-shot information extraction in European languages. The project addresses key limitations of current large language models — high computational costs for on-premise deployment, training data gaps for sensitive domains and low-resource languages, and inconsistent outputs in information extraction tasks.

datachart is a Python package for creating data visualizations, built on top of matplotlib and designed to be simple to use and highly customizable. Charts for trends, comparisons, distributions, relationships, and flows are each created with a single function call from plain lists of dicts, and can be composed into panels with overlaid charts or nested grids. Predefined themes and a global configuration make it easy to change the look and feel of every chart at once.

PREPARE is a Horizon Europe project aimed at improving the lives of people with chronic noncommunicable diseases by developing tools that enable patients and healthcare providers to select optimal therapy strategies. The project transforms rehabilitation through personalized care approaches, combining advances in clinical research, socio-behavioral science, data science, and AI methods to overcome challenges in patient stratification and outcome prediction.