Overview

SciCoCo.nrw is open to all topics connected with computer-based research, spanning from Research Software Engineering (RSE), over Research Data Managemenent (RDM), Data Literacy (DL), and High-Performance Computing (HPC) to Artifical Intelligence (AI).

The thematic groupings are not intended to imply final track decisions but rather to facilitate community engagement and feedback and a first classification for reviewing contributions.

The final SciCoCo.nrw program will be curated from your contributions.
 

Important Dates:

• Abstract Submission Deadline: Jun 15, 2026
• Notification of Acceptance: Jun 19, 2026
   

Topics

Topics of your contributions may be, but are not limited to the following topics:

Machine Learning & Artificial Intelligence

• AI strategies and models for science
• Generative AI & Agents
• LLMs and Foundation Models for science
• AI hardware and technologies
• AI and Vibe coding tools
• AI applications for data science
• AI supported simulations
• Distributed training

FDM & Data Literacy

• Data visualisation and analysis
• Computational workflows
• Policies and legal frameworks
• Digital literacy in research
• Reproducibility: of performance, of results
• Open source research software, licensing, and distribution
• Research Data management and NFDI
• Computational workflows
• Community, Policy, & Career Development

High-Performance Computing

• HPC Systems & Architectures
• Parallel Programming & Performance
• HPC Software Engineering
• Data-Intensive Workflows
• AI & Machine Learning on HPC
• HPC, Cloud & Hybrid Infrastructures
• Security, Access & Multi-User Environments
• Scientific Applications & Use Cases
• Reproducibility & Portability in HPC
• HPC Operations & User Support
• Sustainability & Green HPC
• Community, Training & Outreach

Research Software Engineering

• Best practices for research software development
• Software Engineering, Project planning, project management in Science
• RSE education
• Research Software usability and support
• Research Software sustainability and management plans
   

Formats

Posters

Poster Sessions showcase practical insights, innovative approaches, and transferable experiences from across disciplines. Rather than cutting-edge research alone, posters can highlight a specific scenario, challenge, or solution in areas such as HPC, ML/AI, RSE, RDM, or Data Literacy that significantly advanced or transformed your research practice. The goal is to share lessons learned, spark cross-domain dialogue, and inspire others with approaches that can be adapted to new contexts.

Posters are used to present an overview of an idea, a project, a collaboration, etc. in compact form. Posters must be in portrait orientation and maximally up to A0 size (max. height: 1189mm; max. width: 841mm).

Community Meet-up or Birds-of-a-feather Session

Community Meet-up / Birds-of-a-Feather (BoF) Sessions are informal, participant-driven gatherings that bring together attendees who share common interests, challenges, or passions. These sessions are all about open discussion, idea sharing, and collaboration—no slides or formal presentations required. Whether you're building a new network, exploring emerging topics, or brainstorming solutions with peers, a BoF or meet-up invites everyone to join in and shape the conversation. Propose a session to spark connections, exchange experiences, and strengthen the community!

Hackathon

Hackathon Sessions are hands-on, high-energy spaces where participants come together to collaborate, experiment, and build something tangible in a short amount of time. Centered around a shared challenge or theme, hackathons encourage creativity, rapid prototyping, and teamwork across disciplines and experience levels. Whether you're coding, designing, or conceptualizing, these sessions are about learning by doing, exchanging ideas, and turning inspiration into action. Propose a hackathon to spark innovation, foster collaboration, and create something meaningful together!

Skill-ups or Training

Skill-Up / Training Sessions are interactive, hands-on learning experiences designed to help participants actively build new skills and deepen their understanding. Rather than passive listening, these sessions emphasize engagement through exercises, discussions, and real-time practice. Participants are encouraged to ask questions, collaborate, and apply what they learn in a supportive environment. Whether introducing new tools, methods, or concepts, Skill-Up sessions empower attendees to learn by doing and leave with practical knowledge they can immediately use.

Live Problem Solving

Live Problem-Solving Sessions invite participants to tackle real-world challenges together in an open, collaborative setting. These sessions center on analyzing a concrete problem—technical, strategic, or organizational—and working through potential solutions as a group. Facilitators guide the discussion, but the room drives the insights through active participation, creative thinking, and constructive debate. The goal is not just to talk about ideas, but to co-create actionable solutions and learn from each other’s approaches in real time.
 

Who should submit?

We encourage a diverse program from people at different stages in their career and different backgrounds. We want to bring together people in science with different viewpoints on using computers for research.

• Researchers and software developers at any career stage who develop software for research purposes
• Anyone working with software in a research context whatever their job title or field
• Everyone interested in advancing the understanding of how best to use and maintain research software and data, e.g. with respect to openness, reproducibility, sustainability or scalability and performance
• People from any organisation providing tools, platforms, or services that benefit computer-based research, such as IT infrastructure providers or computing and data centres.
   

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