IDEAS home Printed from https://ideas.repec.org/a/zna/indecs/v15y2017i2p133-143.html
   My bibliography  Save this article

An Immune System Inspired Theory for Crime and Violence in Cities

Author

Listed:
  • Soumya Banerjee

    (University of Oxford, Oxford, United Kingdom
    Ronin Institute, Montclair, United States of America
    Complex Biological Systems Alliance, North Andover, United States of America)

Abstract

Crime is ubiquitous and has been around for millennia. Crime is analogous to a pathogenic infection and police response to it is similar to an immune response. The biological immune system is also engaged in an arms race with pathogens. We propose an immune system inspired theory of crime and violence in human societies, especially in large agglomerations like cities. In this work we suggest that an immune system inspired theory of crime can provide a new perspective on the dynamics of violence in societies. The competitive dynamics between police and criminals has similarities to how the immune system is involved in an arms race with invading pathogens. Cities have properties similar to biological organisms and in this theory the police and military forces would be the immune system that protects against detrimental internal and external forces. Our theory has implications for public policy: ranging from how much financial resource to invest in crime fighting, to optimal policing strategies, pre-placement of police, and number of police to be allocated to different cities. Our work can also be applied to other forms of violence in human societies (like terrorism) and violence in other primate societies and eusocial insects. We hope this will be the first step towards a quantitative theory of violence and conflict in human societies. Ultimately we hope that this will help in designing smart and efficient cities that can scale and be sustainable despite population increase.

Suggested Citation

  • Soumya Banerjee, 2017. "An Immune System Inspired Theory for Crime and Violence in Cities," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 15(2), pages 133-143.
  • Handle: RePEc:zna:indecs:v:15:y:2017:i:2:p:133-143
    as

    Download full text from publisher

    File URL: http://indecs.eu/2017/indecs2017-pp133-143.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sara Fisher Ellison & Wallace P. Mullin, 2014. "Diversity, Social Goods Provision, and Performance in the Firm," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(2), pages 465-481, June.
    2. Simon DeDeo & David C Krakauer & Jessica C Flack, 2010. "Inductive Game Theory and the Dynamics of Animal Conflict," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-16, May.
    3. Soumya Banerjee, 2016. "A biologically inspired model of distributed online communication supporting efficient search and diffusion of innovation," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 14(1), pages 10-22.
    4. Soumya Banerjee, 2016. "A biologically inspired model of distributed online communication supporting efficient search and diffusion of innovation," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 14(1), pages 10-22.
    5. Soumya Banerjee & Pascal Van Hentenryck & Manuel Cebrian, 2015. "Competitive dynamics between criminals and law enforcement explains the super-linear scaling of crime in cities," Palgrave Communications, Palgrave Macmillan, vol. 1(palcomms2), pages 15022-15022, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. repec:zna:indecs:v:19:y:2021:i:4:p:31-41 is not listed on IDEAS
    2. Soumya Banerjee, 2021. "Emergent rules of computation in the Universe lead to life and consciousness: a computational framework for consciousness," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(1), pages 31-41.
    3. Soumya Banerjee, 2020. "A framework for designing compassionate and ethical artificial intelligence and artificial intelligence and artificial consciousness," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 18(2A), pages 85-95.
    4. Soumya Banerjee, 2019. "Towards a Quantitative Model of Epidemics during Conflicts," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 17(3-B), pages 598-614.
    5. Soumya Banerjee, 2018. "Citizen Data Science for Social Good in Complex Systems," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(1), pages 88-91.

    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. repec:zna:indecs:v:15:y:2017:i:2:p:190-198 is not listed on IDEAS
    2. Soumya Banerjee, 2018. "Citizen Data Science for Social Good in Complex Systems," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(1), pages 88-91.
    3. Soumya Banerjee, 2017. "A computational technique to estimate within-host productively infected cell lifetimes in emerging viral infections," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 15(3), pages 190-198.
    4. Soumya Banerjee, 2020. "A framework for designing compassionate and ethical artificial intelligence and artificial intelligence and artificial consciousness," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 18(2A), pages 85-95.
    5. Pritha Dev & Blessing U. Mberu & Roland Pongou, 2016. "Ethnic Inequality: Theory and Evidence from Formal Education in Nigeria," Economic Development and Cultural Change, University of Chicago Press, vol. 64(4), pages 603-660.
    6. Simon DeDeo, 2016. "Conflict and Computation on Wikipedia: A Finite-State Machine Analysis of Editor Interactions," Future Internet, MDPI, vol. 8(3), pages 1-23, July.
    7. Luca Flabbi & Mario Macis & Andrea Moro & Fabiano Schivardi, 2019. "Do Female Executives Make a Difference? The Impact of Female Leadership on Gender Gaps and Firm Performance," The Economic Journal, Royal Economic Society, vol. 129(622), pages 2390-2423.
    8. Huang, Shaoxu & Liu, Xuesong & Hu, Yuhan & Fu, Xiao, 2023. "The influence of aggressive behavior on cooperation evolution in social dilemma," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    9. Trax, Michaela & Brunow, Stephan & Suedekum, Jens, 2015. "Cultural diversity and plant-level productivity," Regional Science and Urban Economics, Elsevier, vol. 53(C), pages 85-96.
    10. Didia, Lydia N. & Flasher, Renee, 2021. "Beyond the top seven firms: Gender diversity of audit firm partners and their undergraduate accounting faculty," Journal of Accounting Education, Elsevier, vol. 56(C).
    11. Soumya Banerjee, 2017. "Automated interpretable computational bilogy in the clinic: a framework to predicst disease severity and stratify patients from clinical data," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 15(3), pages 199-208.
    12. Anaïs Périlleux & Ariane Szafarz, 2022. "Women in the boardroom: a bottom–up approach to the trickle-down effect," Small Business Economics, Springer, vol. 58(4), pages 1783-1800, April.
    13. Huber, Stefanie J. & Paule-Paludkiewicz, Hannah, 2024. "Gender norms and the gender gap in higher education," Labour Economics, Elsevier, vol. 87(C).
    14. P. Schimit & B. Santos & C. Soares, 2015. "The evolution of cooperation with different fitness functions using probabilistic cellular automata," Computational Management Science, Springer, vol. 12(1), pages 35-43, January.
    15. Breuer, Matthias & Cai, Wei & Le, Anthony & Vetter, Felix, 2024. "Minority representation at work," Working Papers 343, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.
    16. Gérard Lassibille & Mª Lucia Navarro Gómez, 2020. "Teachers’ job satisfaction and gender imbalance at school," Post-Print halshs-02933493, HAL.
    17. Eleanor R Brush & David C Krakauer & Jessica C Flack, 2013. "A Family of Algorithms for Computing Consensus about Node State from Network Data," PLOS Computational Biology, Public Library of Science, vol. 9(7), pages 1-17, July.
    18. Christopher Ellis & Jon C. Thompson & Jiabin Wu, 2020. "Labor market characteristics and cultural choice," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 22(5), pages 1584-1617, September.
    19. Naveed, Amjad & Wang, Cong, 2023. "Innovation and labour productivity growth moderated by structural change: Analysis in a global perspective," Technovation, Elsevier, vol. 119(C).
    20. Ji‐Hung Choi & Hannah Oh & John Bae & Sang‐Joon Kim, 2021. "Affirmative action and team performance: An agency theoretic perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(5), pages 1183-1193, July.
    21. Dalvit, Nicolò & Patel, Aseem & Tan, Joanne, 2022. "Intra-firm hierarchies and gender gaps," Labour Economics, Elsevier, vol. 77(C).

    More about this item

    Keywords

    complex systems; immune system inspired; computational sociology; modelling socio-economic systems; artificial immune systems;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • J18 - Labor and Demographic Economics - - Demographic Economics - - - Public Policy
    • O21 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Planning Models; Planning 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:zna:indecs:v:15:y:2017:i:2:p:133-143. 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: Josip Stepanic (email available below). General contact details of provider: .

    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.