Day 1 - Research > Call for papers

An effective fight against climate change and the global deterioration of natural environments and living conditions requires new methods and the mastery of highly complex tools. Today, thanks to BIM and digitalization, our design, construction, and production processes are presented with an opportunity for transformation and new usability.

First and foremost, AI and algorithms offer unprecedented perspectives within this constrained transformation. Secondly, since Alan Turing and the cyberneticians, scientists have understood that living organizations are also materially structured by information, which is governed by mathematical laws. Moreover, life accumulates information within ecosystems, phylogenetic lineages, individual organisms, and genetic structures. This information forms a "natural noosphere." This immaterial entity is virtuously driven by chance encounters and structured by the action of natural algorithms. Life thus represents both a resource to protect, a model for managing complex phenomena, and a source of inspiration for capturing, processing, storing, or producing information.

The evolutionary potential of BIM and digital technology in construction can now be understood in the context of better knowledge of the phenomena related to the information that shapes living organizations and their evolutionary processes. By placing information processing at the heart of project processes, drawing inspiration from natural organizations, and fully embracing algorithmics and AI, BIM can reach a higher level of complexity. Thus, following this data-driven and life-inspired approach, the digital twin also strives to be a mirror of life by developing a dynamic dimension of information management.

Furthermore, renewed forms of biomimicry, driven by a deep understanding of complexity—whether natural or artificial—shed new light on BIM practices. This presents an opportunity to prepare for new uses of this approach and to create new Bionumerical cultures.

It is from this transdisciplinary perspective, at the intersection of biology and digital technology, that EDUBIM aims to explore BIM in its 2025 edition.

This edition of EduBIM includes, but is not limited to, the following themes:

• BIM and biomimicry
• BIM and computational practices: generative design, optimization, artificial intelligence, data-driven design,
• BIM and data science,
• BIM and big data;
• BIM and collaboration,
• BIM and interoperability, data dictionaries, open-source solutions;
• BIM and sustainability: energy efficiency, carbon footprint, Life Cycle Analysis, circular economy;
• BIM at urban and territorial scales, CIM and GIS;
• BIM and maintenance operations, digital twin, IoT, and HBIM;
• BIM, manufacturing and construction,
• BIM on-site, robotics, automation, and prefabrication;
• BIM and new organizations,
• BIM maturity, new skills and roles, new project practices;
• BIM and culture, computational creativity, historical and political dimensions;
• BIM and business development from the perspective of professional sociology;
• BIM and the teaching of new tools and their usage contexts;
• BIM and innovation processes, the evolution of business models;
• BIM and lean management, business processes, modeling of new business processes,
• BIM processes, and technologies;
• BIM and skills development, project management incorporating a BIM approach;
• BIM and cognitive modeling.