Call for Proposals
The EuroSciPy 2026 Call for Proposals will open on 22nd of January. The deadline for submissions is the 8th of February 2026 at 23:59:00 CET.
Note: We offer our speakers the following:
- Up to two speakers of the accepted tutorials will receive free ticket for the entire conference (i.e. 18th to 23rd of July)
- One speaker per accepted talk will receive a free ticket for the conference days (i.e. 18th to 21st of July)
Accepted speakers will receive an acceptance notice by the end of March 2026.
Tracks
Presentations of scientific tools and libraries using the Python language, including but not limited to:
- Computational Tools and Scientific Python Infrastructure
- Life Sciences and Biomedicine
- Physical Sciences and Engineering
- Environmental and Earth Sciences
- Large Language Models (LLMs), Neural Networks and AI Development
- Applied AI and LLM Technologies and Use Cases
- Interdisciplinary Frontiers and other Scientific Python Applications
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
- 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
- Soil Science
- Geophysics
- Subsurface Fluid Dynamics
- Geothermal Applications
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 and 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
Interdisciplinary Frontiers and other Scientific Python Applications
- Brain-Computer Interfaces
- Digital Humanities and Computational Social Sciences
- Reproducible Research and Scientific Workflows
- Smart Cities
- Bio-inspired Technologies
- Space Exploration and Monitoring
- Computational Archaeology and Historical Reconstruction