Systemic data infrastructure for innovation policy

Hicks, Diana

doi:10.1109/acsip.2011.6064470

Cited by 2 publications

(2 citation statements)

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“…Science indicator systems have been developed by a number of nations including Australia [12,13], Canada [11], Malaysia [14], the Netherlands [15], the United Kingdom [16], and the United States [17]. Brazil is developing a data infrastructure which appears to be a model for tracking individual level contributions [18,19]. There are also equivalent indicators for the European Community of nations [20].…”

Section: Previous Workmentioning

confidence: 99%

“…Research at the country level has demonstrated some of the strongest world collaborative links. Early investigations into the world science system are offered by Francis Narin on behalf of the National Science Indicators program of the United States National Science Foundation [18]. Other researchers have explicitly examined the world context of research and development in the emerging and reforming economies, including Brazil, India, Russia, China and South Korea [21,22].…”

Section: Previous Workmentioning

confidence: 99%

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A complex network perspective on the world science system

Cunningham

Kwakkel

2011

2011 Atlanta Conference on Science and Innovation Policy

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This paper discusses capabilities for a systematic overview of world science delivered from the use of new output indicators of science and technology. The data may be usefully structured using a complex network perspective on national publication and international collaboration. This paper uses a random sample of publication data from 2009 to provide a timely update on world activities in science. A mixed predictive and descriptive approach is used in analyzing the data. A variety of methods including structural network analysis, and network regression, are used in the exploration of this sample. Insights are gained into key participants in world science, their positioning in a network of collaborative relationships, and the resultant morphology of the network which emerges from a mixture of random and geographic factors.

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Section: Previous Workmentioning

confidence: 99%

Section: Previous Workmentioning

confidence: 99%

A complex network perspective on the world science system

Cunningham

Kwakkel

2011

2011 Atlanta Conference on Science and Innovation Policy

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Foresight Evaluation: Lessons from Project Management

Соколова

Makarova

2012

SSRN Journal

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The aim of this paper is to identify ways for improvement of the Foresight evaluation framework on the basis of analysis and systematisation of accumulated experience in the field of project management. The paper is based on a detailed literature review related to an evaluation of Foresight and traditional projects. The comparison of evaluation approaches allows to provide recommendations for Foresight evaluation framework improvement. The elements which can enrich Foresight evaluation process are the following: the development of an evaluation model; the extensive use of quantitative methods; the elaboration of evaluation scales; the inclusion of economic indicators into evaluation; and the provision of more openness and transparency for evaluation results. Given the importance of Foresight evaluation procedures and the lack of a commonly applied methodological approach, the value of this paper consists in identifying a Foresight evaluation framework and enriching it with elements of project management.

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Systemic data infrastructure for innovation policy

Cited by 2 publications

References 5 publications

A complex network perspective on the world science system

A complex network perspective on the world science system

Foresight Evaluation: Lessons from Project Management

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