EuroSciPy 2026

18th European Conference on Python in Science

The EuroSciPy meeting is a cross-disciplinary gathering focused on the use and development of the Python language in scientific research. This event strives to bring together both users and developers of scientific tools, as well as academic research and state of the art industry.

EuroSciPy 2026 takes place from Saturday, July 18th to Thursday, July 23rd in Kraków, Poland.

Conference Schedule

• Sat, July 18th: Sprints
• Sun, July 19th: Sprints
• Mon, July 20th: Talks
• Tue, July 21st: Talks
• Wed, July 22nd: Tutorials
• Thu, July 23rd: Tutorials

Call for Proposals

Presentations of scientific tools and libraries using the Python language, including but not limited to:

Computational Tools and Scientific Python Infrastructure

• Core Scientific Python Libraries
• GPU Acceleration for Scientific Computing
• Distributed Computing & Parallel Processing
• Just-in-Time Compilation
• Performance Optimization and Profiling
• Mathematical and Statistical Computing
• Visualization and Data Analysis Tools
• Numerical Simulation and Modeling Frameworks

Life Sciences and Biomedicine

• Genomic Technologies and Applications
• Computational Biology and Bioinformatics
• Protein Folding Prediction
• Personalized and Regenerative Medicine

Physical Sciences and Engineering

• Quantum Computing and Quantum Sensors
• Quantum Machine Learning
• Physics Simulations
• Energy Research and Fusion Energy
• High Energy Physics
• Astrophysics and Cosmology
• Gravitational Wave Astronomy
• Dark Matter and Dark Energy Studies
• Exoplanet Discovery and Characterization
• Materials Science

Environmental and Earth Sciences

• Climate Science
• Biodiversity and Conservation
• Ocean Acidification Studies
• Environmental Remediation

Large Language Models (LLMs), Neural Networks and AI Development

• Neural Network Architecture Design and Optimization
• Quantization Methods
• Federated Learning
• Group Relative Policy Optimization Algorithms
• Long Chain-of-Thought Reasoning Research
• LLM Training, Fine-tuning and Inference Frameworks
• Self-evolution through Reinforcement Learning
• Explainable AI Systems

Applied AI & LLM Technologies and Use Cases

• Ethical AI Frameworks and Guidelines
• Sustainable Computation for AI
• Benchmarking Frameworks and Methodologies
• Evaluation Metrics and Standards
• Datasets for LLM Training and Fine-tuning
• Hybrid System Architectures
• Retrieval-Augmented Generation System Design and Optimization
• AI Agents
• Domain-specific Model Adaptation
• Prompt Engineering and Interface Design
• Automatic Local Fine-tuning for RAG
• Tools Built on LLMs (Coding Assistants, Search)

Interdisciplinary Frontiers and other Scientific Python Applications

• Brain-Computer Interfaces
• Digital Humanities and Computational Social Sciences
• Reproducible Research and Scientific Workflows
• Smart Cities
• Bioinspired Technologies
• Space Exploration and Monitoring
• Computational Archaeology and Historical Reconstruction

Submissions open on 2026-01-22 00:00 (Poland).