Design and analytics lab for urban artificial intelligence
Big data and computational algorithms have gradually become integrated with the built environment and within human’s daily lives, leading to a significant rise in Urban Artificial Intelligence (AI) research and applications. As such, the proposed Design & Analytics Lab for Urban AI (DAL) will develop digital twins and virtual/augmented reality (VR/AR) for multi-scaled simulations and scenarios for cities and regions. Further, such a platform will facilitate a collective understanding of existing urban infrastructure conditions and demonstrate innovative capabilities for how to increase urban resilience and efficacy beyond the technology integration. The DAL will develop and support free and open-source software tools for reproducible urban problem solving. We will provide contextualized modeling of cities to dynamically analyze real-time built environments and test existing and future scenarios for sustainable growth and climate action, involving eight founding members and 48 other members across nine colleges at TAMU, including Galveston campus, TEES, AgriLife Research, and TTI. We also aim to make the urban data FAIR (Findable, Accessible, Interoperable, and Reusable) through an AI-based data sharing platform.
Time: 12 PM- 1 PM, Nov 16 (Wednesday) (snack/drink are served) Location: Langford A, Room 212 (Adams Presentation Room) Abstract: In the era of the 4th industrial revolution, place and […]
Time: 12 PM- 1 PM, Oct 27 (Thursday) Location: Langford A, Room 212 (Adams Presentation Room) Abstract: Advances in artificial intelligence (AI) and ubiquitous social data are securing a bright […]
The codes developed by our lab is hosted on GitHub. Please visit there for more information.