Skip to main content

Science Policy and the Challenges for Modeling Science

  • Chapter
  • First Online:
Models of Science Dynamics

Abstract

This book seeks to advance the modeling science to improve our collective understanding of the functioning of science systems and of the dynamics of science. It also attempts to make the modeling of science relevant from the perspective of societal use – an issue that is increasingly important in scientific research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    For example, the center for Science System Assessment in the Netherlands, the Institute for Research Information and Quality Assurance (IFQ) in Germany, the NSF Science of Science and Innovation Policy program in the US, the former Prime Network of Excellence in the EU.

  2. 2.

    URL: http://www.citeulike.orghttp://www.citeulike.org.

  3. 3.

    URL: http://www.mendeley.comhttp://www.mendeley.com.

  4. 4.

    URL: http://www.vivoweb.orghttp://www.vivoweb.org.

  5. 5.

    URL: http://www.collexis.comhttp://www.collexis.com.

  6. 6.

    URL: http://scholarometer.indiana.eduhttp://scholarometer.indiana.edu.

  7. 7.

    URL: http://www.authormapper.comhttp://www.authormapper.com.

  8. 8.

    URL: http://www.mendeley.com/groups/586171/alt-metricshttp://www.mendeley.com/groups/586171/alt-metrics.

References

  1. Berners-Lee T, Fischetti M (1999) Weaving the web: The original design and ultimate destiny of the World Wide Web by its inventor. Harper, San Francisco, SF

    Google Scholar 

  2. Berners-Lee T, Hendler J, Lassila O (2001) The semantic web. Scientific Am 284(5):28–37

    Article  Google Scholar 

  3. Börner K (2010) Atlas of science: Visualizing what we know. MIT Press, Cambridge, MA

    Google Scholar 

  4. Börner K, Contractor N, Falk-Krzesinski HJ, Fiore SM, Hall KL, Keyton J, Spring B, Stokols D, Trochim W, Uzzi B (2010) A multi-level systems perspective for the science of team science. Sci Transl Med 2(49):49cm24, 5 pp (doihttp://dx.doi.org/10.1126/scitranslmed.3001399DOI: 10.1126/scitranslmed.3001399), also available online at the URL: http://ivl.slis.indiana.edu/km/pub/2010-borner-et-al-multi-level-teamsci.pdfhttp://ivl.slis.indiana.edu/km/pub/2010-borner-et-al-multi-level-teamsci.pdf

  5. Executive Office of the President of the United States (2008) The science of science policy: A federal research roadmap: Report on the science of science policy to the Subcommittee on Social, Behavioral and Economic Sciences, Committee on Science, National Science and Technology Council, Office of Science and Technology Policy. Report DOE/SC-106. Executive Office of the President of the United States, Washington, DC, available online at the URL: http://www.whitehouse.gov/files/documents/ostp/NSTCReports/39924_PDFProof.pdf http://www.whitehouse.gov/files/documents/ostp/NSTC Reports/39924_PDF Proof.pdf

  6. Gilbert N (1997) A simulation of the structure of academic science. Sociol Res Online 2(2), available online at the URL: http://www.socresonline.org.uk/2/2/3.htmlhttp://www.socresonline.org.uk/2/2/3.html

  7. Heath T, Bizer C (2011) Linked data: Evolving the web into a global data space. Synthesis Lectures on the Semantic Web: Theory and Technology, vol 1. Morgan & Claypool, San Rafael, CA (doihttp://dx.doi.org/10.2200/S00334ED1V01Y201102WBE001DOI: 10.2200/S00334ED1V01Y201102WBE001)

  8. Payette N (2012) Agent-based models of science. In: Scharnhorst A, Börner K, van den Besselaar P (eds) Models of science dynamics.Springer, Berlin, Ch 4, pp 127–158

    Google Scholar 

  9. van den Besselaar P (2011) Postexcellente wetenschap. Inaugural lecture for the Chair “Organisatie en Dynamiek van de Wetenschap”. VU University, Amsterdam, to be published (request manuscript from author)

    Google Scholar 

  10. Wallace ML, Lariviére V, Gingras Y (2009) Modeling a century of citation distributions. J Informetr 3(4):296–303 (doihttp://dx.doi.org/10.1016/j.joi.2009.03.010DOI: 10.1016/j.joi.2009.03.010), also available as arXiv preprint http://arxiv.org/abs/0810.1426arXiv:0810.1426

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter van den Besselaar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

van den Besselaar, P., Börner, K., Scharnhorst, A. (2012). Science Policy and the Challenges for Modeling Science. In: Scharnhorst, A., Börner, K., van den Besselaar, P. (eds) Models of Science Dynamics. Understanding Complex Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23068-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23068-4_8

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23067-7

  • Online ISBN: 978-3-642-23068-4

  • eBook Packages: Physics and AstronomyPhysics and Astronomy (R0)

Publish with us

Policies and ethics