Themes of SCAI 2006
Analysing Interdisciplinarity
Interdisciplinarity can be defined as a type of academic collaboration in which specialists from two or more disciplines work together. Examples of interdisciplinary efforts include research in cognitive science, science and technology studies, nanotechnology, quantum information processing, language technology and bioinformatics.
This special session has two main themes: 1) What is the relationship between artificial or computational intelligence and associated fields from the point of view of interdisciplinarity, and 2) What kind of computational and analytical methods can be used to analyze and simulate interdisciplinarity. Relevant topics include but are not limited to:
- artificial intelligence in relation to cognitive science, philosophy, experimental psychology and brain research
- quantitative and conceptual rigor versus communicational efficiency and ability to grasp broader dimensions of problem solving
- text mining of interdisciplinary or interprofessional corpora
- social network analysis in interdisciplinary contexts
- simulation of collaborative pattern formation in interdisciplinary networks
- relationship between qualitative and quantitative research from the point of view of modeling and problem solving
- analysis and support of communication between laypersons and experts in the domain of medicine, law or computer science
- educational, professional and computational tools for supporting interdisciplinary research and interprofessional work
For more information, please contact the session chair,
Dr. Timo Honkela, firstname.lastname@tkk.fi