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Environmental Design and Information Technology Lab
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The lab designs architectural and urban environments using data and AI.
AboutAbout the lab
Reading environments and reworking them with data and AI
The Environmental Design and Information Technology Lab studies, from the viewpoint of informatics, how to reconstruct environments in which humans, artifacts, and nature coexist.
It views environmental design as a cycle of stages (perception, evaluation, generation, and integration) and aims to establish a science of environmental design based on data and artificial intelligence.
The lab explores methods to read, evaluate, and design environments in architecture, urban planning, and civil engineering from data, using 3D measurement, digital twins, machine learning, and generative AI.
On the lab's website, it is also introduced under the name "Fukuda Lab," and it is also called "EDIT," after the initials of its English name.
Key terms
- Digital twin
- A model, like a twin, that replicates the state of real buildings or cities on a computer using data.
- Point cloud
- Data obtained from 3D measurement that represents the surface of an object as the positions of countless points.
- GNN
- Short for graph neural network. An AI that learns from data represented as points connected by lines.
NewsLab news
View More ↗ResearchResearch themes
With an eye to realizing Society 5.0 (a super-smart society), the lab rethinks the environmental design process through the structure of perception, evaluation, generation, and integration. Rather than stopping at tool development, it is characterized by advancing decision-making in environmental design through data and information technology.
*Illustrative image3D Measurement and Digital Twins
This research reads and reconstructs built environments such as buildings, using 3D measurement, point cloud processing, and digital twins.
*Illustrative imageEvaluating Environments with AI
This research uses AI, machine learning, GNNs, and related methods to evaluate the performance, safety, and comfort of environments.
*Illustrative imageDesign Support with Generative AI
The lab works on supporting and automating environmental design using generative AI and simulation.
*Illustrative imageInformation Infrastructure for Cities and Nature
The lab is building an information infrastructure to visualize and analyze urban and natural environments in an integrated way.
MembersFaculty
The members of the Environmental Design and Information Technology Lab consist of faculty members, project researchers, visiting researchers, administrative assistants, students in the doctoral program, the master's program, and the undergraduate program, and research students.As of 2026
- ProfessorTomohiro Fukuda
- Associate ProfessorTakashi Michikawa
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “3D Laser Scan of Cape Canaveral Lighthouse” Davidjirwin1970 / CC BY-SA 3.0 (cropped)
- 3D Measurement and Digital Twins: “Ouster OS1-64 lidar point cloud of intersection of Folsom and Dore St, San Francisco” Daniel L. Lu / CC BY 4.0 (cropped)
- Evaluating Environments with AI: “Loos les oliveaux rue jean zay” Velvet / CC BY-SA 4.0 (cropped)
- Design Support with Generative AI: “EXPERIMENTAL WIND TUNNEL DEVICE BUILT AT COLORADO STATE UNIVERSITY. SMOKE IS PIPED INTO THIS MODEL OF THE CITY OF... - NARA - 543737” Bill Gillette / Public domain (cropped)
- Information Infrastructure for Cities and Nature: “Ridingleaze Green Space, Lawrence Weston - geograph.org.uk - 5305890” Derek Harper / CC BY-SA 2.0 (cropped)
- Related lab (Symbiotic Urban Planning Lab): “Green Space in Surulere 01” ReoMartins / CC BY-SA 4.0 (cropped)
- Related lab (Global Circulation and Symbiosis Engineering Lab): “Global carbon stocks” Zac Kayler, Maria Janowiak, Chris Swanston / Public domain (cropped)
- Related lab (Symbiotic Environmental Assessment Lab): “air quality monitoring station in Zürich” Balise42 / CC BY 4.0 (cropped)
- Related lab (Urban Energy Systems Lab): “Smart grid” Miloš Křivan / CC0 (cropped)
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