The vision of the Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) is to harness the full potential of digital technologies in order to rethink design, fabrication and construction based on integration and interdisciplinarity, with the goal of enabling game-changing innovation in the building sector as it can only occur through highly integrative fundamental research in an interdisciplinary, large-scale research undertaking.

The Cluster aims to lay the methodological foundations for a profound rethinking of the design and building process and related building systems by adopting an integrative computational approach based on interdisciplinary research encompassing architecture, structural engineering, building physics, engineering geodesy, manufacturing and system engineering, computer science and robotics, social sciences and humanities. We aim to bundle the internationally recognised competencies in these fields of the University of Stuttgart and the Max Planck Institute for Intelligent Systems to accomplish our research mission.

The Cluster’s Industry Consortium will ensure direct knowledge exchange, transfer and rapid impact. Taking into account the significant difference between the building industry and other industries, we will tackle the related key challenges of achieving a higher level of integration, performance and adaptability, and we will address the most important building typologies of multi-storey buildings, long-span buildings, and the densification of urban areas.

The Cluster’s broad methodological insights and interdisciplinary findings are expected to result in comprehensive approaches to harnessing digital technologies, which will help to address the ecological, economic and social challenges that current incremental approaches cannot solve.

We envision IntCDC to significantly shape the future of architecture and the building industry through a higher-level integration of computational design and engineering methods, effective cyber-physical (tightly interlinked computational and material) robotic construction processes and new forms of human-machine collaboration, efficient and sustainable next-generation building systems, and socio-cultural and ethical reflection. Thus, the Cluster will have significant impact on creating the conditions required for a liveable and sustainable future built environment, high-quality yet affordable architecture and a novel digital building culture.
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Comma Separated Values - 1.4 KB - MD5: 58e60a32698db8ae1756ff568b19184e
Tabular Data - 5.2 MB - 10 Variables, 25601 Observations - UNF:6:2mOzkWp9ROZK4p/1vVuPog==
application/x-BibTeX - 28.8 KB - MD5: f284742088351215a4f5e590f460e90f
Literature File
EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Associated Project 47 'Optimisation and Machine Learning for Climate-Friendly Design' logo
Oct 15, 2024
AP47: Multi-objective optimisation and machine learning for climate-friendly building design
Aug 26, 2024 - EXC IntCDC Research Project 10 'Co-Design from Architectural, Social and Computational Perspectives'
Öney, Seyda; Abdelaal, Moataz; Kurzhals, Kuno; Betz, Paul; Kropp, Cordula; Weiskopf, Daniel, 2024, "Supplemental Material for: Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts", https://doi.org/10.18419/DARUS-4448, DaRUS, V1, UNF:6:acOzV3rGb0G3gj7FIA/o4w== [fileUNF]
These documents contain supplemental material for the paper "Testing the Test: Observations When Assessing Visualization Literacy of Domain Experts" which was conditionally accepted at the BELIV 2024 Workshop in conjunction with the IEEE VIS 2024 Conference. The CSV file contains the summaries of the important parts of the interview, each assigned...
Tabular Data - 51.3 KB - 5 Variables, 307 Observations - UNF:6:acOzV3rGb0G3gj7FIA/o4w==
Aug 15, 2024 - EXC IntCDC Research Project 18 'Holistic Quality Model for Extension of Existing Buildings'
Di Bari, Roberta; Lauer, Anja Patricia Regina; Schlopschnat, Christoph; Treml, Simon; Opgenorth, Nils; Skoury, Lior; Stark, Tim; Bechert, Simon; Göbel, Monika; Wagner, Hans Jakob; Wood, Dylan; Leistner, Philip; Knippers, Jan; Menges, Achim; Sawodny, Oliver; Wortmann, Thomas, 2024, "Computational design and robotic fabrication for high environmental quality timber constructions: the livMatS Biomimetic Shell case study", https://doi.org/10.18419/DARUS-4434, DaRUS, V1
The dataset includes the raw data and the corresponding report for the life cycle assessment of the building demonstrator 'livMatS Biomimetic Shell' (Website). The pressure on the construction industry to reduce its environmental impact is leading practitioners to investigate the use of more sustainable materials, such as timber. Still, due to its...
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