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Jakub Tyc M.Arch. Architekt AKNW. He works currently at the Institute of Architectural Sciences of TU Wien in the department of Digital Architecture and Planing. His interests are focused towards embedding photogrammetry into computational design process to develop point cloud based, context aware architectural design process in the age of data driven design.
Recovery of land knowledge can help to advance the understanding of socio-ecological systems like traditional sustainable agricultural systems. Such efforts require transdisciplinary inquiry, data acquisition and analysis, as well as the development of data-integrated design processes for implementing recovered knowledge in the design of such syste...
Rapid urbanization and related land cover and land use changes are primary causes of climate change, and of environmental and ecosystem degradation. Sustainability problems are becoming increasingly complex due to these developments. At the same time vast amounts of data on urbanization, construction and resulting environmental conditions are being...
Urban areas are facing significant challenges regarding degradation of environments and ecosystems, species loss, and increased vulnerability to climate hazards, all of which impact negatively upon human health and well-being.Focusing on building envelopes can offer an effective approach to the regeneration of urban ecosystems, by providing new spa...
Understanding socio-ecological systems and the discovery, recovery and adaptation of land knowledge are key challenges for sustainable land use. The analysis of sustainable agricultural systems and practices, for instance, requires interdisciplinary and transdisciplinary research and coordinated data acquisition, data integration and analysis. Howe...
This contribution reports the activities carried out by LamoLab, a non-governmental organization for multi-domain and multi-scale research applied to cultural terraced landscapes. Terracing and dry-stone walling have been internationally recognized as carriers of cultural values and traditional knowledge. Lamole in Chianti (Italy) has served as a p...
Application of Machine Learning (ML) in the field of architecture is a worthwhile topic to discuss in the context of digital architecture. Authors propose to extend this discussion, presenting an integrated ML pipeline built with the state-of-the-art data science tools. To investigate the affordances of such pipelines, an ML model being able to pre...
ECOlogical building enveLOPES: a game-changing design approach for regenerating urban ecosystems ECOLOPES is an innovative HORIZON 2020 funded research project proposing a radical change for city development: instead of minimizing the negative impact of urbanisation on nature, we aim at urbanisation to be planned and designed such that nature – including humans – can co-evolve within the city. We envisage a radically new integrated ecosystem approach to architecture that focuses equally on humans, plants, animals, and associated organisms such as microbiota. ECOLOPES will provide the technology that will help to achieve this vision. Urbanization constitutes a major environmental issue of the 21st century. Within cities, densification, the decrease of green open spaces, and a continued reliance on grey infrastructure approaches result in increasing separation of people from nature and decreased access to ecosystem services. This decreases the livability of cities and reduces human well-being. Current approaches fall short in providing breakthrough solutions, because they perpetuate the human-nature dichotomy due to anthropocentric design. In ECOLOPES we propose a radical change for city development: instead of minimizing the negative impact of urbanisation on nature, we aim at urbanization to be planned and designed such that nature – including humans – can co-evolve within the city. We envisage a radically new integrated ecosystem approach to architecture that focuses equally on humans, plants, animals, and associated organisms such as microbiota. Over the next few years, ECOLOPES will provide the technology that will help to achieve this vision. In ECOLOPES, we focus on the envelope, the building enclosure. We will transform the envelope into an ecolope, a multi-species living space for four types of inhabitants, humans, plants, animals, and microbiota. ECOLOPES will develop the core technologies for designing ecolopes in a systematic way, considering the needs of both humans, as well as of plants, animals and beneficial microbes. ECOLOPES will make biological knowledge available for the architectural design process, to find architectural solutions that enable synergies and limit conflicts between the inhabitants. The ecolopes designed by this multi-species approach will restore the beneficial human – nature relationships in cities. A key element of ECOLOPES will be an Information Model that integrates ecological and architectural knowledge, data and models into a data-integrated design recommendation system. The ECOLOPES Information Model will guide the development of the ECOLOPES Computational modelling and simulation environment, to make biological and architectural knowledge available for design. The ECOLOPES team is comprised of 6 partners, including TU Munich, TU Wien, University of Genoa, TECHNION, software technology company MCNEEL, and Studio Animal Aided Design. Project Coordinator Prof. Dr. Wolfgang Weisser Chair for Terrestrial Ecology Department of Ecology and Ecosystemmanagement Technische Universität München Hans-Carl-von-Carlowitz-Platz 2 D-85350 Freising-Weihenstephan Project related Inquiries firstname.lastname@example.org Dissemination related Inquiries email@example.com
In 2021 we are launching a new book series entitled Understanding Environments (Series Ed. Dr. Defne Sunguroglu Hensel). The series presents research on sustainable traditional agricultural systems that combine practices and constructions to a broad audience in a non-specialist manner. The selected cases in this series offer potential solutions that can be adapted to meet major challenges of our time that arise from rapid urbanization and environmental degradation. The aim is to facilitate urban ecosystems and their specific ecosystem functions and services, as well as novel approaches to urban food production.
Investigating the supervised Machine Learning methods applied for the Energy Simulations of the building facades incorporating Rhino, Grasshopper, Ladybug and Tensorflow frameworks