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On Thursday 9th of July, the 4th RISIS POLICYMAKERS SESSION entitled “Mapping R&D to policy goals and societal challenges” took place online on the GoToMeeting platform with the participation of 40 people among experts, policy analyst and academics. The conference begun with an Opening (First presentation) of Dr Alessia Fava, Research Institute on Sustainable Economic Growth, National Research Council of Italy, mainly focused on RISIS dissemination and communication ongoing activities. The 4th Policymakers Session focused on the results of study conducted by CWTS, Leiden University titled Reavealing dynamics, structure, and societal connections. How advanced bibliometrics support science policy analyses. Dr Ismael Rafols introduced the study (Second Presentation). The team took into consideration the example of cancer research as reported by Dr Alfredo Yegros Yegros (Third Presentation) to illustrate the potential of bibliometric data to reveal information beyond counting publications and citations, and specifically to gain insights into the dynamics of a research field or organization, its structure and its different ways in which research is connected to societal processes. The bibliometric analyses have been conducted using the RISIS CWTS publication Dataset as Dr Ed Noyons illustrated (Fourth Presentation). The second part of the conference was dedicated to the contribution of three discussants Dr Michael M. Hopkins (Fifth presentation) Hopkins (SPRU, The Science Policy Research Unit, University of Sussex, UK), Dr Jarno Hoekman (Sixth presentation) Hoekman (Universiteit Utrecht) and Dr Lennart Stenberg (Seventh presentation) Stenberg (VINNOVA, Sweden’s innovation agency) and on how advanced bibliometrics analyses reveal the scientific production, the medical innovation and the various funding system.
Based on Policy Brief, Issue 4/Revealing dynamics, structure, and societal connections. How advanced bibliometrics support science policy analysis https://zenodo.org/record/3939190#.Xwic7CgzY2w
mapping R&D, policy analysis, mapping R&D, societal goals, advanced bibliometrics, CWTS Publication Database, cancer research
mapping R&D, policy analysis, mapping R&D, societal goals, advanced bibliometrics, CWTS Publication Database, cancer research
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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