Skip to main content
SpringerLink
Log in

The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation

  • Conference paper
  • First Online:
Internet Science (INSCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10750))

Included in the following conference series:

Abstract

PoliVisu is a new Research and Innovation project specifically designed to utilise stakeholder knowledge by creating a more collaborative policy making process. By harnessing visualisation technologies, PoliVisu begins to close data gaps that have long impeded effective policymaking. As problems are illuminated, policy-making can become more targeted, with attention appropriately and efficiently directed; more tailored, so that responses fit divergent needs; more nimble, able to adjust quickly to changing circumstances; and more experimental, with real-time testing of how problems respond to different strategies. This paper outlines the theory behind the design of PoliVisu and the expected impact of this new policy modelling approach.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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.

    https://www.researchgate.net/figure/260579927_fig1_Fig-1-Policy-Analysis-Cycle-Patton-and-Sawicki-1993.

  2. 2.

    http://datasmart.ash.harvard.edu/news/article/analytics-excellence-roadmap-866.

  3. 3.

    Network Design and Optimization for Smart Cities, Chap. 7, p. 45

  4. 4.

    Independent, December 2016 http://www.independent.co.uk/news/world/europe/paris-pollution-increase-air-smog-france-capital-car-limits-fossil-fuels-weather-a7500426.html.

  5. 5.

    https://www.ordnancesurvey.co.uk/business-and-government/products/mastermap-products.html.

  6. 6.

    http://www.esri.com/industries/federal/policy-making.

  7. 7.

    http://www.geosparc.com/.

  8. 8.

    http://webglayer.org.

  9. 9.

    http://www.opentransportnet.eu.

  10. 10.

    https://micka.geology.cz.

  11. 11.

    http://www.truthnest.com.

  12. 12.

    http://www.warp10.io.

  13. 13.

    https://www.macq.eu/macq_images/static/images/Macq-brochure-M3-EN.pdf.

  14. 14.

    http://www.senslog.org.

  15. 15.

    https://inspire-reference.jrc.ec.europa.eu/apps/open-transport-map-otm.

  16. 16.

    Achieving Excellence Via Data Driven Decision Making in Government https://issuu.com/govsummit/docs/achieving_excellence_via_data-drive.

  17. 17.

    http://www.eu.gov.hk/en/index.html.

  18. 18.

    http://www.transportation.wv.gov/highways/programplanning/plan_conf/Documents/2011PC/GTI__Section.pdf.

  19. 19.

    http://cleancluster.dk/wp-content/uploads/2015/05/Co-creating-the-cities-of-tomorrow.pdf.

  20. 20.

    www.ask-project.eu.

  21. 21.

    http://www.igi-global.com/article/citizens-collaboration-creation-public-service/70075.

  22. 22.

    www.puzzledbypolicy.eu

  23. 23.

    http://www.wegov-project.eu/.

  24. 24.

    http://www.ocopomo.eu/results/presentations/crossroad-ws-ifip-egov-2010/files/ocopomo.pdf.

  25. 25.

    http://is.jrc.ec.europa.eu/pages/EAP/CROSSROAD.html.

  26. 26.

    http://www.participatedb.com/projects/15.

  27. 27.

    https://www.tableau.com.

  28. 28.

    http://www.computerworld.com/article/2497304/.

  29. 29.

    http://www.d3technologies.com/.

  30. 30.

    http://leafletjs.com/plugins.html.

  31. 31.

    https://carto.com.

  32. 32.

    https://www.mapbox.com/.

  33. 33.

    http://www.itf-oecd.org/sites/default/files/docs/15cpb_bigdata_0.pdf.

References

  1. Ghorbani, A., Deschene, F., Dignum, V., Jonker, C.: Enhancing ABM into an inevitable tool for policy analysis. J. Policy Complex Syst. 1, 61–77 (2014). https://doi.org/10.18278/jpcs.1.1.3

    Article  Google Scholar 

  2. Bektaş, T., Crainic, T.G., Van Woensel, T.: From managing urban freight to smart city logistics network (Chap. 7). In: Network Design and Optimization for Smart Cities, p. 45. World Scientific Publishing (2017)

    Google Scholar 

  3. Shehab, K.: Paris Suffers Worst Pollution for at Least a Decade. Independent, December 2016. http://www.independent.co.uk/news/world/europe/paris-pollution-increase-air-smog-france-capital-car-limits-fossil-fuels-weather-a7500426.html

  4. Wiseman, J.: Analytics Excellence Roadmap: A Four-Stage Maturity Model for Data-Driven Government. Harvard Kennedy School Ash Center for Democratic Governance and Innovation (2016)

    Google Scholar 

  5. Ordnance Survey Master Map. https://www.ordnancesurvey.co.uk/business-and-government/products/mastermap-products.html

  6. ESRI Policy Making. http://www.esri.com/industries/federal/policy-makin

  7. Achieving Excellence in Data Driven Decision Making in Government. Peppers & Rogers Group. UAE Governance Summit (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. 21c Consultancy Ltd., 33 Churchfield Road, London, UK

    Susie Ruston McAleer & Pavel Kogut

  2. Agency Informatie Vlaanderen, Boudewijnlaan 30, Brussels, Belgium

    Lieven Raes

Authors
  1. Susie Ruston McAleer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Pavel Kogut
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lieven Raes
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Susie Ruston McAleer .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Thessaloniki, Greece

    Sotiris Diplaris

  2. Information Technologies Institute, Thessaloniki, Greece

    Anna Satsiou

  3. SINTEF, Oslo, Norway

    Asbjørn Følstad

  4. National Center for Scientific Research, Agia Paraskevi, Greece

    Michail Vafopoulos

  5. SINTEF, Trondheim, Norway

    Thomas Vilarinho

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

McAleer, S.R., Kogut, P., Raes, L. (2018). The Case for Collaborative Policy Experimentation Using Advanced Geospatial Data Analytics and Visualisation. In: Diplaris, S., Satsiou, A., Følstad, A., Vafopoulos, M., Vilarinho, T. (eds) Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10750. Springer, Cham. https://doi.org/10.1007/978-3-319-77547-0_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-77547-0_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-77546-3

  • Online ISBN: 978-3-319-77547-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation