Building Information Modelling (BIM) is the science and technology of digitally organising Built Environment products and processes. It is concerned with the theory, design and implementation of data structures, cloud architectures and algorithms that can generate, store and exchange Built Environment data as well as methods to exploit it.
This online winter school will run from 7-11 December 2020.
This Building Information Modelling School is the first in a series of training events sponsored by the Cloud BIM European Training Network (CBIM ETN). It serves a dual purpose: (i) a broad introduction to BIM fundamentals and research methods; (ii) a bonding opportunity/community-development exercise for early stage researchers and practitioners. The first part of this training event will familiarise students with BIM as a product and as a process, BIM tools, data models (e.g. the Industry Foundation Classes), BIM data exchange and cross-sector interoperability. The second part of this training event focuses on research methods training, PhD project management, and ethics contextualised to the BIM area. Tutorials require students to get hands-on experience in collecting data and working with BIM models.
The school aims to provide a stimulating opportunity for early stage researchers (MS or PhD level), industry practitioners, post-doctoral research associates and interested faculty members alike. The participants will benefit from direct interaction and discussions with world leaders in BIM, who will deliver the online lectures covering both theoretical and practical aspects of real BIM problems as well as examples of their successful use in practice.
Instructors
- Ioannis Brilakis, University of Cambridge, UK
- Ryan Cronin, University of Cambridge, UK
- Ross Dentten, Bentley Systems, UK
- Timo Hartmann, Technische Universitat Berlin, DE
- Ying Hong, University of Cambridge, UK
- Kim Jung, LocLab Consulting, DE
- Thomas Liebich, AEC3, DE
- Adam Locke, Laing O’Rourke, UK
- Ilka May, LocLab Consulting, DE
- Kim Nyberg, Trimble, FI
- James O’Donnell, University College Dublin, IE
- Brenden Roche, Bentley Systems, UK
- Dimitrios Rovas University College London, UK
- Rafael Sacks, Technion Israel Institute of Technology, IL
-
Mahendrini Ariyachandra, University of Cambridge, UK