Why a Scientific Jam Session?

Traditional academic conferences have their essential role: communicating results, rigorously validating research, and exchanging best practices. Yet they unfold within a fragmented logic — each specialist remains confined to their own discipline, with precise objectives and limited applications. In a world marked by complexity and interdependence, this approach is no longer sufficient.

What is missing today:

• There are no spaces where marginal hypotheses, conceptual explorations, and radical questions are placed at the center.
• Paradigm breakthroughs do not arise from formal presentations, but from informal dialogue, intuition, and cognitive interference.
• The education of young researchers remains disciplinary and utilitarian, without training in transdisciplinary thinking or creative exploration.

What the Scientific Jam Session brings:

• A living and provocative space that stimulates imagination and intuition through its architecture (mind-map exhibitions, visual challenges, interactive installations).
• A co-creation methodology inspired by musical improvisation and design thinking, turning researcher interaction into an emergent process.
• A collective outcome: not immediately applicable solutions, but fertile questions and new directions that can inspire future research and academic formation.

Why is it necessary now?

• Because education and research must move from disciplinary to transdisciplinary, from utilitarian to visionary.
• Because innovation without creativity remains applicable, but not paradigmatic.
• Because young researchers need a framework where they can practice heutagogy and complex thinking, not just reporting results.
• Because the future of science depends on fertile questions, not easy solutions.

The INSPIRE session brings together visionary doctoral students and emerging scholars to explore how intelligent systems — powered by AI, machine learning, and smart technologies, are reshaping the landscape of academic research and educational practice. This session serves as a dynamic platform for presenting cutting-edge projects, exchanging interdisciplinary ideas, and fostering collaboration across fields such as computer science, cognitive science, pedagogy, and digital humanities.

Participants will delve into how intelligent systems can personalize learning experiences, enhance research methodologies, and support inclusive, data-driven decision-making in education. The session encourages bold thinking, ethical reflection, and the pursuit of innovation that empowers both learners and educators.

This session invites doctoral students to explore the transformative potential of artificial intelligence and smart technologies in redefining personalized education. From adaptive learning platforms and intelligent tutoring systems to data-driven curriculum design and emotion-aware interfaces, participants will engage with cutting-edge research and visionary applications that challenge traditional pedagogical models.

The INSPIRE session brings together visionary doctoral students and emerging scholars to explore how intelligent systems — powered by AI, machine learning, and smart technologies, are reshaping the landscape of academic research and educational practice. This session serves as a dynamic platform for presenting cutting-edge projects, exchanging interdisciplinary ideas, and fostering collaboration across fields such as computer science, cognitive science, pedagogy, and digital humanities.

Participants will delve into how intelligent systems can personalize learning experiences, enhance research methodologies, and support inclusive, data-driven decision-making in education. The session encourages bold thinking, ethical reflection, and the pursuit of innovation that empowers both learners and educators.

This session invites doctoral students to explore the transformative potential of artificial intelligence and smart technologies in redefining personalized education. From adaptive learning platforms and intelligent tutoring systems to data-driven curriculum design and emotion-aware interfaces, participants will engage with cutting-edge research and visionary applications that challenge traditional pedagogical models.

Mones, Adriano; Phoenix Contact E-Mobility/Spain

"Innovation, Sustainability, and University Talent: Three Flagship Projects from the University of Oviedo"

Hohenberger, Pierre; Carinthia University of Applied Sciences/Austria

"Digital Twin-Based PLC Learning Environment"

Patimakan, Patchara; Sungkrom, Patcharapong; Roatlertkitja, Chitsanupong; Jitngernmadan, Prajaks; Burapha University/Thailand

"AI-Vision Log Grading System: Automated Wood Classification for Smart Timber Processing"

Skraparli, Georgina; Aristotle University of Thessaloniki/Greece

"FieldGuide XR: Fostering Immersive Env-Linked Digital Guidance XR"

Kosara, Gabriel; OTH Regensburg/Germany

"Comparison of a Proven Airless Spraying Technology with a Robot-Assisted Spraying Process Using Digital Simulation and Experimental"

García Carro, Gonzalo; de Abol-Brasón Vázquez de Prada, Juan Antonio; Michelena Colina, Miguel Enrique; Bobes Álvarez, César; University of Oviedo/Spain

"4SPACE Uniovi - From Classroom Theory to Space-Grade Engineering"

Zhao, Zirui; Wang, Dengke; Li, Wenbo; Fu, Mingshen; Rui De International School/China

"Design and Implementation of a PLC-Based Intelligent Staggered Power-Supply Control System"

Simulation tools are of great importance in industry, economy, medicine, biology, because they can mimic possible real situations or functionalities in the case of some applications, without consuming materials, resources, without danger in patients monitoring, or energy consumption, for physical demonstrators. There are industrial domains where testing a final product would be extremely expensive, such as in the microelectronics industry, nanotechnologies, biotechnologies, nanomedicine, construction, space flights, agriculture, surrounding environment, even in the finance-banking area.

Already some software tools have proven their usefulness, such as PSpice in electronic circuit design, Verilog in digital circuit design, Oracle in financial predictions, MATLAB in biomedical engineering, GROMOS as GROningen MOlecular Simulation computer program package for biomolecules, Artificial Intelligence AI in Art and Painting and many other domains. 

Often, many software tools are created for specific or punctual applications: determining the energy losses of a house or a car, predicting investments with minimal risks, and many other that are all the more interesting since only a very small group of people use or apply this tool.

Therefore, especially these punctual tools are welcome to be presented in this session. The topic will be presented below, with indicative value, and it is not strictly limited to the directions described, but it is opened to your proposals.

LINK for online attendees: https://teams.microsoft.com/l/team/19%3AFuOZpy75_Gy-K1jDm4DoZrofHkZlzuQ8W1C1bBLoEdU1%40thread.tacv2/conversations?groupId=7c67bb24-0e96-412e-8c11-0e16105dade3&tenantId=2d8cc8ba-8dda-4334-9e5c-fac2092e9bac 

Cross-reality laboratories (XR labs), integrating digital media, remote access, and virtual/augmented reality, are increasingly shaping laboratory-based teaching and learning across all study levels in STEM education. These environments not only foster subject-specific knowledge but also support the development of collaborative and agile learning skills essential for the future of work. With the rapid emergence of AI-based natural language processing (NLP) systems, however, new competence demands arise that go far beyond traditional laboratory education.

The Special Session builds on the ongoing project KICK 4.0, which explores how human–AI collaboration can be embedded into STEM laboratories to empower students both technically and reflexively. The aim of the session is twofold: first, to highlight innovative pedagogical designs that enable students to critically and productively interact with AI in laboratory contexts; second, to open a discussion on the broader implications of integrating XR labs and AI for higher STEM-education and vocational teacher training.  Contributions are invited that present empirical findings, conceptual frameworks, or practical implementations related to XR-enhanced, AI-supported laboratory teaching. 

We aim to discuss the strengths of XR- and AI-enhanced labs, the weaknesses and limitations that challenge their effectiveness, the opportunities for fostering new forms of competence development, and the threats or risks that may arise from their broader implementation. Importantly, the session also invites perspectives from educators who may not wish to integrate such systems themselves yet but whose students nevertheless use them. These viewpoints can provide valuable insights into the challenges, tensions, and opportunities that arise when institutional teaching practices and students’ self-directed technology use diverge.

By bringing together researchers, educators, and practitioners, this Special Session aims to advance the debate on how digital transformation, XR labs, and human–AI collaboration can be systematically aligned with the goals of competence development, reflexivity, and sustainable innovation in STEM education

The MusicAI section showcases the transformative potential of artificial intelligence in the world of music. Participants will discover innovative tools that support creative and technical processes—from generating musical ideas and mastering tracks to creating backing accompaniments, separating stems, and designing entirely new sounds.

AI can generate melodies, harmonies, and rhythms tailored to specific genres, preferences, or moods, serving as an inspiring starting point for fresh compositions. Through advanced techniques such as spectral compression and professional-grade mastering, AI systems can produce realistic vocal performances from MIDI inputs or craft unique vocal samples and instrument-like sounds from human voices. Beyond creation, AI enhances the entire music production ecosystem: it offers lyrical inspiration, restores archival recordings, analyzes listening behavior to recommend playlists, predicts emerging trends, and provides data-driven insights valuable to artists, marketers, and record labels alike.

This session invites participants to explore the boundless opportunities of integrating artificial intelligence and smart technologies into music. Both existing solutions and visionary concepts will be presented—encouraging innovation, experimentation, and new ways of thinking about the art and science of music creation.

Cross-reality laboratories (XR labs), integrating digital media, remote access, and virtual/augmented reality, are increasingly shaping laboratory-based teaching and learning across all study levels in STEM education. These environments not only foster subject-specific knowledge but also support the development of collaborative and agile learning skills essential for the future of work. With the rapid emergence of AI-based natural language processing (NLP) systems, however, new competence demands arise that go far beyond traditional laboratory education.

The Special Session builds on the ongoing project KICK 4.0, which explores how human–AI collaboration can be embedded into STEM laboratories to empower students both technically and reflexively. The aim of the session is twofold: first, to highlight innovative pedagogical designs that enable students to critically and productively interact with AI in laboratory contexts; second, to open a discussion on the broader implications of integrating XR labs and AI for higher STEM-education and vocational teacher training.  Contributions are invited that present empirical findings, conceptual frameworks, or practical implementations related to XR-enhanced, AI-supported laboratory teaching. 

We aim to discuss the strengths of XR- and AI-enhanced labs, the weaknesses and limitations that challenge their effectiveness, the opportunities for fostering new forms of competence development, and the threats or risks that may arise from their broader implementation. Importantly, the session also invites perspectives from educators who may not wish to integrate such systems themselves yet but whose students nevertheless use them. These viewpoints can provide valuable insights into the challenges, tensions, and opportunities that arise when institutional teaching practices and students’ self-directed technology use diverge.

By bringing together researchers, educators, and practitioners, this Special Session aims to advance the debate on how digital transformation, XR labs, and human–AI collaboration can be systematically aligned with the goals of competence development, reflexivity, and sustainable innovation in STEM education

The MusicAI section showcases the transformative potential of artificial intelligence in the world of music. Participants will discover innovative tools that support creative and technical processes—from generating musical ideas and mastering tracks to creating backing accompaniments, separating stems, and designing entirely new sounds.

AI can generate melodies, harmonies, and rhythms tailored to specific genres, preferences, or moods, serving as an inspiring starting point for fresh compositions. Through advanced techniques such as spectral compression and professional-grade mastering, AI systems can produce realistic vocal performances from MIDI inputs or craft unique vocal samples and instrument-like sounds from human voices. Beyond creation, AI enhances the entire music production ecosystem: it offers lyrical inspiration, restores archival recordings, analyzes listening behavior to recommend playlists, predicts emerging trends, and provides data-driven insights valuable to artists, marketers, and record labels alike.

This session invites participants to explore the boundless opportunities of integrating artificial intelligence and smart technologies into music. Both existing solutions and visionary concepts will be presented—encouraging innovation, experimentation, and new ways of thinking about the art and science of music creation.