IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/49702.html
   My bibliography  Save this paper

Big data, privacy, and trusted web: What needs to be done

Author

Listed:
  • Helbing, Dirk
  • Balietti, Stefano

Abstract

This perspective paper discusses challenges and risks of the information age, and the implications for the information and communication technologies that need to be built and operated. It addresses ethical and policy issues related with Big Data and how procedures for privacy-preserving data analyses can be established. It further proposes a concept for a future, self-organising and trusted Web and discusses recommended legal regulations as well as the infrastructure and institutions needed.

Suggested Citation

  • Helbing, Dirk & Balietti, Stefano, 2011. "Big data, privacy, and trusted web: What needs to be done," MPRA Paper 49702, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:49702
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/49702/1/MPRA_paper_49702.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bajari, Patrick & Yeo, Jungwon, 2009. "Auction design and tacit collusion in FCC spectrum auctions," Information Economics and Policy, Elsevier, vol. 21(2), pages 90-100, June.
    2. Christian Schultz, 2001. "Transparency and Tacit Collusion," CIE Discussion Papers 2001-04, University of Copenhagen. Department of Economics. Centre for Industrial Economics.
    3. Kluger, Brian D. & Wyatt, Steve B., 2002. "Preferencing, Internalization of Order Flow, and Tacit Collusion: Evidence from Experiments," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 449-469, September.
    4. Ciro Cattuto & Wouter Van den Broeck & Alain Barrat & Vittoria Colizza & Jean-François Pinton & Alessandro Vespignani, 2010. "Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-9, July.
    5. Fabian Winter & Heiko Rauhut & Dirk Helbing, 2009. "How norms can generate conflict," Jena Economics Research Papers 2009-087, Friedrich-Schiller-University Jena.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lommerud, Kjell Erik & Sorgard, Lars, 2003. "Entry in telecommunication: customer loyalty, price sensitivity and access prices," Information Economics and Policy, Elsevier, vol. 15(1), pages 55-72, March.
    2. Gregory, Steve, 2012. "Ordered community structure in networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2752-2763.
    3. De Martino, Giuseppe & Spina, Serena, 2015. "Exploiting the time-dynamics of news diffusion on the Internet through a generalized Susceptible–Infected model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 634-644.
    4. Fabian Winter, 2013. "Fairness norms can explain the emergence of specific cooperation norms in the Battle of the Prisoners Dilemma," Jena Economics Research Papers 2013-016, Friedrich-Schiller-University Jena.
    5. Kobayashi, Teruyoshi & Takaguchi, Taro, 2018. "Identifying relationship lending in the interbank market: A network approach," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 20-36.
    6. Dirk Helbing, 2013. "Economics 2.0: The Natural Step towards A Self-Regulating, Participatory Market Society," Papers 1305.4078, arXiv.org, revised Jun 2013.
    7. Martin Bichler & Pasha Shabalin & Jürgen Wolf, 2013. "Do core-selecting Combinatorial Clock Auctions always lead to high efficiency? An experimental analysis of spectrum auction designs," Experimental Economics, Springer;Economic Science Association, vol. 16(4), pages 511-545, December.
    8. Fabio Caccioli & Paolo Barucca & Teruyoshi Kobayashi, 2018. "Network models of financial systemic risk: a review," Journal of Computational Social Science, Springer, vol. 1(1), pages 81-114, January.
    9. Stefano Guarino & Enrico Mastrostefano & Massimo Bernaschi & Alessandro Celestini & Marco Cianfriglia & Davide Torre & Lena Rebecca Zastrow, 2021. "Inferring Urban Social Networks from Publicly Available Data," Future Internet, MDPI, vol. 13(5), pages 1-45, April.
    10. Eugenio Valdano & Chiara Poletto & Armando Giovannini & Diana Palma & Lara Savini & Vittoria Colizza, 2015. "Predicting Epidemic Risk from Past Temporal Contact Data," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-19, March.
    11. Norris L. Larrymore & Albert J. Murphy, 2009. "Internalization And Market Quality: An Empirical Investigation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(3), pages 337-363, September.
    12. Ghahramani, Ali & Pantelic, Jovan & Lindberg, Casey & Mehl, Matthias & Srinivasan, Karthik & Gilligan, Brian & Arens, Edward, 2018. "Learning occupants’ workplace interactions from wearable and stationary ambient sensing systems," Applied Energy, Elsevier, vol. 230(C), pages 42-51.
    13. Hanjue Xia & Johannes Horn & Monika J Piotrowska & Konrad Sakowski & André Karch & Hannan Tahir & Mirjam Kretzschmar & Rafael Mikolajczyk, 2021. "Effects of incomplete inter-hospital network data on the assessment of transmission dynamics of hospital-acquired infections," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-18, May.
    14. Mark Kibanov & Raphael H. Heiberger & Simone Rödder & Martin Atzmueller & Gerd Stumme, 2019. "Social studies of scholarly life with sensor-based ethnographic observations," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1387-1428, June.
    15. Masoud Shakiba & Azam Zavvari & Nader Aleebrahim & Mandeep Jit Singh, 2016. "Evaluating the academic trend of RFID technology based on SCI and SSCI publications from 2001 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 591-614, October.
    16. Laura Ozella & Francesco Gesualdo & Michele Tizzoni & Caterina Rizzo & Elisabetta Pandolfi & Ilaria Campagna & Alberto Eugenio Tozzi & Ciro Cattuto, 2018. "Close encounters between infants and household members measured through wearable proximity sensors," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-16, June.
    17. Massimo Riccaboni & Anna Romiti & Gianna Giudicati, 2011. "Co-experience Network Dynamics: Lessons from the Dance Floor," DISA Working Papers 2011/02, Department of Computer and Management Sciences, University of Trento, Italy, revised 28 Mar 2011.
    18. Barmak, D.H. & Dorso, C.O. & Otero, M., 2016. "Modelling dengue epidemic spreading with human mobility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 129-140.
    19. Mikaela Irene D. Fudolig & Daniel Monsivais & Kunal Bhattacharya & Hang-Hyun Jo & Kimmo Kaski, 2020. "Different patterns of social closeness observed in mobile phone communication," Journal of Computational Social Science, Springer, vol. 3(1), pages 1-17, April.
    20. Tobias Regner & Gerhard Riener, 2011. "Motivational Cherry Picking," Jena Economics Research Papers 2011-029, Friedrich-Schiller-University Jena.

    More about this item

    Keywords

    big data; privacy; ethics; trusted web; future internet; information society;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • Z00 - Other Special Topics - - General - - - General
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:49702. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.