Skip to main content
SpringerLink
Log in
Book cover

International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation

SBP-BRiMS 2017: Social, Cultural, and Behavioral Modeling pp 329–334Cite as

A Blockchain-Enabled Participatory Decision Support Framework

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10354))

Abstract

In this “post truth” age of “fake news” and “alternative facts” uncertainty in the provenance of policy makes transparency in decision making increasingly important for evidence-based policymakers. This paper demonstrates how the convergence of Agent Based Modelling, Smart Contracts, Blockchain, and Virtual Reality (VR) technologies make possible the development of participatory decision support frameworks. The concept is demonstrated in a public health context by implementing an Agent Based Model of disease spread within a simulated population (SIR model) as a so-called Smart Contract deployed on a public Blockchain network. We demonstrate that in order to “close the loop” the simulation outcomes can be visualized using commodity VR hardware, and future extensions towards fully interactive simulations are proposed.

This is a preview of subscription content, 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

Learn about institutional subscriptions

Notes

  1. 1.

    https://vr.google.com/daydream/.

  2. 2.

    https://unity3d.com/.

References

  1. Makri, A.: Give the public the tools to trust scientists. Nature 541(7637), 261 (2017). doi:10.1038/541261a

    Article  Google Scholar 

  2. Helbing, D., Bishop, S., Conte, R., Lukowicz, P., McCarthy, J.B.: FuturICT: participatory computing to understand and manage our complex world in a more sustainable and resilient way. Eur. Phys. J. Spec. Top. 214(1), 11–39 (2012)

    Article  Google Scholar 

  3. Pentland, A.: Personal data: the emergence of a new asset class. Report, World Economic Forum (2011)

    Google Scholar 

  4. Najafi, M., Laskowski, M., de Boer, P.T., Williams, E., Chit, A., Moghadas, S.M.: The Effect of Individual Movements and Interventions on the Spread of Influenza in Long-term Care Facilities. Medical Decision Making (2017, in press)

    Google Scholar 

  5. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system (2008). http://www.bitcoin.org/bitcoin.pdf

  6. Swan, M.: Blockchain: Blueprint for a New Economy. O’Reilly Media Inc, Blockchain (2015)

    Google Scholar 

  7. Tapscott, D., Tapscott, A.: Blockchain Revolution: How the Technology Behind Bitcoin is Changing Money, Business, and the World. Penguin, New York (2016)

    Google Scholar 

  8. Buterin V.: Ethereum white paper (2013)

    Google Scholar 

  9. Kim, H.M., Laskowski, M.: Towards an ontology-driven Blockchain design for supply chain provenance. In: 26th Workshop on Information Technologies and Systems (2016)

    Google Scholar 

  10. Bonabeau, E.: Agent-based modeling: methods and techniques for simulating human systems. Proc. Natl. Acad. Sci. 99, 7280–7287 (2002)

    Article  Google Scholar 

  11. Steuer, J.: Defining virtual reality: dimensions determining telepresence. J. Commun. 42(4), 73–93 (1992)

    Article  Google Scholar 

  12. Azaria, A., Ekblaw, A., Vieira, T., Lippman, A.: MedRec: using blockchain for medical data access and permission management. In: International Conference on Open and Big Data (OBD), pp. 25–30. IEEE, 22 August 2016

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Mathematics and Statistics, York University, Toronto, Canada

    Marek Laskowski

  2. Population Medicine, University of Guelph, Guelph, Canada

    Marek Laskowski

  3. Information and Computing Technologies, Seneca College, Toronto, Canada

    Marek Laskowski

Authors
  1. Marek Laskowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marek Laskowski .

Editor information

Editors and Affiliations

  1. Penn State University, State College, Pennsylvania, USA

    Dongwon Lee

  2. University of Saskatchewan, Saskatoon, Saskatchewan, Canada

    Yu-Ru Lin

  3. University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Nathaniel Osgood

  4. United States Military Academy, West Point, New York, USA

    Robert Thomson

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Laskowski, M. (2017). A Blockchain-Enabled Participatory Decision Support Framework. In: Lee, D., Lin, YR., Osgood, N., Thomson, R. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2017. Lecture Notes in Computer Science(), vol 10354. Springer, Cham. https://doi.org/10.1007/978-3-319-60240-0_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60240-0_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60239-4

  • Online ISBN: 978-3-319-60240-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation