Mapping the Dynamics of Emergent Technologies (MDET)
This project aims to deepen the understanding of how new technologies emerge. Technologies are developed in distributed epistemic networks that align and misalign to varying degrees. In the case of emergent fields, desirable technological developments are often hindered as a result of this lack of alignment. Hence there is a role for public policy for supporting the coordination of the networks. This project aims to fill this evidence gap and map how these networks develop, align and misalign.
The research combines quantitative methods for analysing social and cognitive networks using publication data, qualitative methods to capture institutional developments and novel mixed qualitative-quantitative approaches to investigate the visions, values and shared expectations of the researchers. .
MDET is a joint project by SPRU (University of Sussex), ASCOR (University of Amsterdam), and IFRIS (University of Paris-Est), funded by the ESRC and the ANR under the Open Research Area call.
Materials (only for project participants):
Mapping and assessment of research portfolios
This project (still under negotiation)will aim to develop an analytical framework for the mapping and assessment of research portfolios.
The notion of “research portfolio” is increasingly used by funding agencies. However, there is no clear understanding and very little research on how to define, map and assess a research portfolio. Here we aim to develop a multi-method approach to investigate a research portfolio of a given disease. We build on evolutionary perspectives on science dynamics, using concepts and methods from Science Technology Studies, Information Sciences and the Innovation Studies side of Evolutionary Economics.
The work plan is to sequentially investigate three case studies. For each case, we first carry out a scoping study to tentatively delineate the research on a disease. Second, we map the research lines a portfolio comprises, on the basis of publications. Third, we explore the diversity of a portfolio and the complementarities among different research lines under various analytical perspectives. Fourth, we use project databases from funding agencies in order to estimate resources associated with a given research line. Fifth, we interview stakeholders using a multi-criteria analysis tool to assess their valuation of the different research lines. This analysis produces a map of the research portfolio of a given disease, and its assessment under various criteria by stakeholders.
This research is carried out in Ingenio (CSIC-UPV), a Science, Technology and Innovation Research centre in València, coordinated by Ismael Rafols,
NSF Science of Science Policy
In collaboration with Alan Porter at the Georgia Institute of Technology, we are carrying out two projects supported by the National Science Foundation under the Science for Science and Innovation Policy Programme.
1- Methods for mapping interdisciplinary research (2008-2012, ~$392,000)
This project developed mapping techniques and measures in order to assess the degree of interdisciplinarity of scientific organisations or emerging research fields.
The most important contribution were to devise new measure of interdisciplinarity that take into account the cognitive distance between fields, and to produce freely available global maps of science. The most relevant articles are:
- Rafols, I., Porter, A.L. and Leydesdorff, L. (2010) Science overlay maps: A new tool for research policy and library management. Journal of the American Society for Information Science and Technology. 61(9), 871–1887. PDF. Interactive Maps. Overlay toolkit.
- Rafols, I. and Meyer, M. (2010) Diversity and Network Coherence as indicators of interdisciplinarity: case studies in bionanoscience. Scientometrics 82(2), 263-287. PDF
- Porter, A.L. and Rafols, I. (2009) Is Science Becoming more Interdisciplinary? Measuring and Mapping Six Research Fields over Time. Scientometrics. 81(3), 719-745. PDF, Supplement & Data
2- Revealing Innovation Pathways (2011-2014, , ~$390,000, Award #1064146)
This project aims to develop a methodological framework and associated tools (metrics; maps) to help analyze emerging technologies to help policy makers and R&D managers make decisions regarding innovation pathways. Our goal is to devise tools towards a multi-perspective mapping methodology that capture the various cognitive and social ‘landscape’ of an emergent technology alongside the visions and expectations that drive the emergence. The methodology includes: (i) qualitative investigations of the innovation system. (ii) profile and linking actors using extensive mapping tools, both classic Tech mining techniques (bibliometrics maps) and exploratory hybrid qual-quant tools (iii) Project and assess innovation pathways, via stakeholders’ workshops.
- Leydesdorff L., Rotolo D., Rafols I. (2012). Interactive Overlay Maps of Medical Innovation using the Medical Subject Headings (MeSH) of PubMed. Journal of the American Society for Information Science and Technology. In press.
- Kay, L., Newman, N., Youtie, J., Porter, A.L., Rafols, I., 2012. Patent Overlay Mapping: Visualizing Technological Distance. Journal of the American Society for Information Science and Technology Submitted.
Note: The findings and observations contained in these papers are those of the authors and do not necessarily reflect the views of the National Science Foundation.