IDEAS home Printed from https://ideas.repec.org/a/wly/isacfm/v25y2018i4p190-196.html
   My bibliography  Save this article

DNA Mining and genealogical information systems: Not just for finding family ethnicity

Author

Listed:
  • Daniel E. O'Leary

Abstract

The primary expected use of DNA and genealogy sites has been their ability to help users find their family, find their ethnicity and to help them connect with distant relatives. In so doing such sites help users to “learn more about themselves.” Such systems have also been proposed to have the broader goals of helping connect mankind and show people how their similarities are greater than their differences. However, the use of DNA and genealogy information recently turned away from just finding family connections, ethnicity and origins. Recently it was announced that the “Golden State Killer” had been caught using information generated from using DNA and consumer genealogical websites. This paper investigates some of the questions and unanticipated consequences raised by this alternative use of these technologies and their impact on individuals, organizations and society. As part of that analysis we analyze some of the immediate consequences on the firm from which the DNA information was gathered, the new emerging approach used by law enforcement, some privacy concerns and provide a network game formulation as a means to model user behavior. Finally, we examine some potential emerging research issues.

Suggested Citation

  • Daniel E. O'Leary, 2018. "DNA Mining and genealogical information systems: Not just for finding family ethnicity," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(4), pages 190-196, October.
    • Handle: RePEc:wly:isacfm:v:25:y:2018:i:4:p:190-196
    DOI: 10.1002/isaf.1439
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/isaf.1439
    Download Restriction: no
    File URL: https://libkey.io/10.1002/isaf.1439?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jack Hirshleifer, 1983. "From weakest-link to best-shot: The voluntary provision of public goods," Public Choice, Springer, vol. 41(3), pages 371-386, January.
    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. Subhasish M. Chowdhury & Iryna Topolyan, 2013. "The Attack-and-Defence Group Contests," University of East Anglia Applied and Financial Economics Working Paper Series 049, School of Economics, University of East Anglia, Norwich, UK..
    2. Camacho, Carmen & Hassan, Waleed, 2023. "The dynamics of revolution: Discrimination, social unrest and the optimal timing of revolution," Economic Modelling, Elsevier, vol. 128(C).
    3. Atallah, Shadi S. & Huang, Ju-Chin & Leahy, Jessica & Bennett, Karen, 2020. "Preference Heterogeneity and Neighborhood Effect in Invasive Species Control: The Case of Glossy Buckthorn in New Hampshire and Maine Forests," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304623, Agricultural and Applied Economics Association.
    4. Luca Dall’Asta & Paolo Pin & Abolfazl Ramezanpour, 2011. "Optimal Equilibria of the Best Shot Game," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 13(6), pages 885-901, December.
    5. Alejandro Caparrós & Michael Finus, 2020. "Public good agreements under the weakest‐link technology," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(3), pages 555-582, June.
    6. Le Maux, Benoit & Rocaboy, Yvon, 2012. "A simple microfoundation for the utilization of fragmentation indexes to measure the performance of a team," Economics Letters, Elsevier, vol. 116(3), pages 491-493.
    7. Conybeare, John A C & Murdoch, James C & Sandler, Todd, 1994. "Alternative Collective-Goods Models of Military Alliances: Theory and Empirics," Economic Inquiry, Western Economic Association International, vol. 32(4), pages 525-542, October.
    8. Kamijo, Yoshio, 2016. "Rewards versus punishments in additive, weakest-link, and best-shot contests," Journal of Economic Behavior & Organization, Elsevier, vol. 122(C), pages 17-30.
    9. Rémy Delille & Jean-Christophe Pereau, 2014. "The Seawall Bargaining Game," Games, MDPI, vol. 5(2), pages 1-13, June.
    10. Louis Rouanet, 2024. "On the tendency of revolutions to devour their own children," Public Choice, Springer, vol. 200(3), pages 603-626, September.
    11. Alessandra Cepparulo & Luisa Giuriato, 2012. "Global Challenges and Country-Specific Responses through Aid Financing of Global Public Goods," Working Papers in Public Economics 156, Department of Economics and Law, Sapienza University of Roma.
    12. Henrik Orzen, 2005. "Fundraising through Competition: Evidence from the Lab," Discussion Papers 2005-04, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    13. Ziyi Chen & Kaiyan Dai & Xing Jin & Liqin Hu & Yongheng Wang, 2023. "Aspiration-Based Learning in k -Hop Best-Shot Binary Networked Public Goods Games," Mathematics, MDPI, vol. 11(14), pages 1-19, July.
    14. Todd Sandler, 2009. "Intergenerational Public Goods: Transnational Considerations," Scottish Journal of Political Economy, Scottish Economic Society, vol. 56(3), pages 353-370, July.
    15. Nikolai Kukushkin, 2015. "The single crossing conditions for incomplete preferences," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(1), pages 225-251, February.
    16. Stefanie Gerke & Gregory Gutin & Sung-Ha Hwang & Philip Neary, 2019. "Public goods in networks with constraints on sharing," Papers 1905.01693, arXiv.org, revised Jun 2023.
    17. Jean Hindriks & Yukihiro Nishimura, 2021. "Taxing multinationals: The scope for enforcement cooperation," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 23(3), pages 487-509, June.
    18. Hausken, Kjell, 2024. "Fifty Years of Operations Research in Defense," European Journal of Operational Research, Elsevier, vol. 318(2), pages 355-368.
    19. Kai A. Konrad & Florian Morath, 2018. "To Deter Or To Moderate? Alliance Formation In Contests With Incomplete Information," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1447-1463, July.
    20. Subhasish M. Chowdhury & Dongryul Lee & Iryna Topolyan, 2016. "The Max‐Min Group Contest: Weakest‐link (Group) All‐Pay Auction," Southern Economic Journal, John Wiley & Sons, vol. 83(1), pages 105-125, July.

    More about this item

    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:wly:isacfm:v:25:y:2018:i:4:p:190-196. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/1099-1174/ .

    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.