future of our city - smart cities and knowledge maps
DESCRIPTION
The European Student Parliament organizes debates around different topics. Smart cities is one of them. What is behind the Smart City concept, how a Smart City can become MyCity, and how a map of this Smart City would look like - those are topics of the expert hearing and the follow-up debateTRANSCRIPT
DANS is an institute of KNAW and NWO
Data Archiving and Networked ServicesData Archiving and Networked Services
Future of our city
Andrea Scharnhorst
June 21, 2014
Expert hearing at the European student parliament
Andrea Scharnhorst – “science located”
•Head of Research&Innovation at DANS: Data Archiving and Networked Services Institute•Scientific coordinator of the Computational Humanities programme at the eHumanities group of the Royal Netherlands Academy of Arts and Sciences (KNAW)
20012000 2010
@scharnhorstaResearchGate; Mendeley; Academics.edu; LinkedIn
www.knowescape.org
Cities as complex systemsBatty, M. (2005). Cities and complexity: Understanding cities with cellular automata, agent-based models, and fractals. Cambridge, Mass: MIT Press.
Schweitzer, F. (2003). Brownian agents and active particles: Collective dynamics in the natural and social sciences. Berlin: Springer.
Pictures reproduced from Frank Schweitzer’s book
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Cities and social movement
1895-1993 Source: Wikipedia Dan Linsey
Comprehensiveknowledge
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http://amsterdamsmartcity.com/
ANALYZING THE DYNAMICS OF INFORMATION ANALYZING THE DYNAMICS OF INFORMATION AND KNOWLEDGE LANDSCAPES AND KNOWLEDGE LANDSCAPES
Browse a collection or a database
Map size, structure, composition and evolution of the collection
Locate your search on such an interactive knowledge map
• Domain overview for students, interdisciplinary teams, lay experts and funding agencies
• Tools for scholars of history and philosophy of science and bibliometrics
• Overview of BigData collections (incl. social media)
Given the explosion of information how to navigate to find what is needed?
Information professionals•Collections, Information retrieval•WG 1 Phenomenology of knowledge spaces• WG 4 Data curation & navigation
Social scientists•Simulating user behavior•WG 2 Theory of knowledge spaces•WG 4 Data curation & navigation
Computer scientists •Semantic web, data models•WG 1 Phenomenology of Knowledge Spaces•WG 4 Data curation &navigation
Physicists, mathematicians
Digital humanities scholars•Collections, interactive design•WG 3 Visual analytics – knowledge maps•WG 4 Data curation & navigation
Participating communitiesParticipating communities
• Structure & evolution of complex knowledge spaces, big data mining
• WG 2 Theory of knowledge spaces
• WG 3 Visual analytics – knowledge maps