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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131 to 140 of 1,193 Results
Mar 11, 2025 - Reuse Compendium
MS Excel Spreadsheet - 68.8 KB - MD5: d5bf40202a4d07bf8bee430e335e3c18
This .xlxs file contains the list of reuse references with links and sources to reference projects or articles. The references are organized by three categories, focus (i.e. architecture, research, statistics, building technology, art and design), area (i.e. historical, contemporary etc.), and material (i.e. brick, wood, metal, concrete etc.).
Tabular Data - 832.5 KB - 95 Variables, 500 Observations - UNF:6:6vGHB/B0ukeyj7my+koQow==
Final version of the dataset used in the corresponding publication.
OpenOffice Spreadsheet - 218.3 KB - MD5: 0878addcb07b413ec26119f308ef442a
This file contains both the list of research articles with the corresponding analysis and classification.
Plain Text - 363.5 KB - MD5: 76019336a35fb727de682fd23abcedc0
This file contains both the list of research articles with the corresponding analysis and classification.
MS Excel Spreadsheet - 185.1 KB - MD5: 91bfd9d5db7008087beaa1f4054cf272
This file contains both the list of research articles with the corresponding analysis and classification.
EXC IntCDC Associated Project 30 'Towards Human-Robot Co-Agency'(University of Stuttgart, Max Planck Institute for Intelligent Systems)
EXC IntCDC Associated Project 30 'Towards Human-Robot Co-Agency' logo
Jan 21, 2025
AP30: Towards human-robot co-agency: AI and feminist technoscience perspectives for diversity, demography and democracy on human-robot collaboration in architecture.
ZIP Archive - 30.2 MB - MD5: e62ec07d4611b56151be9bcb669f3c1f
MS Excel Spreadsheet - 20.8 KB - MD5: 62eece909d7be94b298f74e508a11c9e
This file contains the updated list of 99 multi-storey timber buildings in the DACH region with basic data including the location, number of stories, construction year, as well as the basic stakeholder constellation and the identified innovation trajectory.
Tabular Data - 71.9 KB - 34 Variables, 99 Observations - UNF:6:LpBDStdiB1fyEfbULY7JjQ==
This file contains the full updated list of 99 buildings in the DACH region with analyzed and classified data which includes the construction year, location, height (number of stories), program (use of the building), structural system (type), structural materials used, massing and internal spatial organization, as well as the stakeholder constellat...
Tabular Data - 20.6 KB - 10 Variables, 256 Observations - UNF:6:3UHHQ86HoMgX/+ZxV/QL0g==
This file contains the full updated list of 258 stakeholders involved in the design and construction of the 99 projects in the DACH region. The data includes links to stakeholder websites, headquarter location, and the related projects ID's.
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