Computational Modeling in Coexistence with Urban Data Streams
Event details
| Date | 08.06.2015 |
| Hour | 11:00 › 12:00 |
| Speaker | Vahid Moosavi, Chair for Computer Aided Architectural Design (CAAD), ETH Zurich |
| Location | |
| Category | Conferences - Seminars |
With the democratization of computational technologies from the last decades and the ever-growing access to urban data streams, the computational modeling has been established as an orthogonal discipline to classical fields of applied research. Nevertheless, we think that a proper research question in this new field should be: how rather than merely automating classical modeling processes, how we should cultivate and promote fundamentally different concepts to the field of scientific modeling, which are only feasible through an appropriate level of “computational and data literacy”.
Toward this goal, from an abstract point of view to the main issues of scientific modeling, we introduce the concept of “modeling in coexistence with data streams” as an alternative to the state of the art in computational modeling and simulation. Upon this conceptual framework, in a technical level we discuss the potentials of a series of mathematical techniques such as Self Organizing Maps (SOM) and Markov Chains.
Further, as the proposed modeling ideas are very generic, we present three experimental applications in different domains, including transportation dynamics, urban air pollution modeling and a new notion of geographic mapping, called contextual mapping.
Toward this goal, from an abstract point of view to the main issues of scientific modeling, we introduce the concept of “modeling in coexistence with data streams” as an alternative to the state of the art in computational modeling and simulation. Upon this conceptual framework, in a technical level we discuss the potentials of a series of mathematical techniques such as Self Organizing Maps (SOM) and Markov Chains.
Further, as the proposed modeling ideas are very generic, we present three experimental applications in different domains, including transportation dynamics, urban air pollution modeling and a new notion of geographic mapping, called contextual mapping.
Practical information
- General public
- Free
Organizer
- IMAC
Contact
- Gaudenz Moser