Visual conceptualizations and models of science |
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| Authors: | Katy Börner Andrea Scharnhorst |
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| Institution: | 1. Cyberinfrastructure for Network Science Center, School of Library and Information Science, Indiana University, 10th Street & Jordan Avenue, Wells Library 021, Bloomington, IN 47405, USA;2. The Virtual Knowledge Studio for the Humanities and Social Sciences - VKS, Royal Netherlands Academy of Arts and Sciences, Cruquiusweg 31, 1019 AT Amsterdam, The Netherlands;1. Environmental Change and Governance Group, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada;2. Inter-American Institute for Global Change Research, Av. Italia 6201 – Ed. Los Tilos 102, 11500 Montevideo, Uruguay;1. School of Software, Dalian University of Technology, Dalian 116024, PR China;2. Center for Molecular Medicine, School of Life Science and Biotechnology, Dalian University of Technology, Dalian 116024, PR China;1. Departamento de Economía, Universidad Carlos III of Madrid, Spain;2. Centre for Science and Technology Studies, Leiden University, The Netherlands;1. Capital University of Economics and Business, School of Safety and Environmental Engineering, 100070 Beijing, China;2. Steinbeis Advanced Risk Technologies, 70174 Stuttgart, Germany;3. HASTAM, 35-37 High St, Barrow upon Soar, Loughborough LE12 8PY, UK;4. Safety Science Group, Delft University of Technology, Postbus 5015, 2600GA Delft, Netherlands |
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| Abstract: | This is the Guest Editor's introduction to the Special Issue on “Science of Science: Conceptualizations and Models of Science”, Journal of Informetrics. The introduction discusses challenges towards a theoretically grounded and practically useful science of science. It provides a brief chronological review of relevant work and argues for (1) the development of common frameworks for the comparison and combination of existing approaches, theories, laws, and measurements, (2) the combination of quantitative and qualitative studies of science, and (3) the operationalization of theoretical concepts in terms of measurement and empirical evidence. Next, three visual conceptualizations of science are discussed and compared. Each of them provides a framework for the comparison and combination of existing works, means to combine quantitative and qualitative data, and helps to operationalize and communicate theoretical concepts using empirical data. Last but not least, the contributions of and interlinkages among the papers included in this issue are discussed. |
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