A Crowdsourcing-Based Platform for Better Governance

  • Vishal Chandrasekaran
  • Shivnesh V. Rajan
  • Romil Kumar Vasani
  • Anirudh Menon
  • P. Bagavathi Sivakumar
  • C. Shunmuga Velayutham
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 397)

Abstract

The world’s population has been increasing as every year passes by, and Governments across the world face a stupendous challenge of governing each country. These challenges include providing proper sanitation facilities, efficient disaster management techniques, effective resource allocation and management, etc. Crowdsourcing methodologies, which empower the common man to provide valuable information for better decision making, have gained prominence recently to tackle several challenges faced by several governments. In this paper, we introduce a crowdsourcing-based platform that makes use of information provided by the common man for better governance. We illustrate how this platform can be used in several instances to attend to the problems faced by people.

Keywords

Crowdsourcing Smart environments and applications Mobile phone Location-based services 

References

  1. 1.
    Haklay M, Weber P (2008) Openstreetmap: user-generated street maps. IEEE Pervasive Comput 7(4):12–18CrossRefGoogle Scholar
  2. 2.
    Airbnb, Inc. http://www.airbnb.com
  3. 3.
    Meier P, Brodock K (2008) Crisis mapping Kenya’s election violence. Harvard humanitarian initiative (HHI)Google Scholar
  4. 4.
    Heinzelman J, Waters C (2010) Crowdsourcing crisis information in disaster-affected Haiti. US Institute of PeaceGoogle Scholar
  5. 5.
    Barnes MD, Hanson CL, Novilla LM, Meacham AT, McIntyre E, Erickson BC (2008) Analysis of media agenda setting during and after Hurricane Katrina: implications for emergency preparedness, disaster response, and disaster policy. Am J Public Health 98(4):604CrossRefGoogle Scholar
  6. 6.
    Kaigo M (2012) Social media usage during disasters and social capital: twitter and the Great East Japan earthquake. Keio Commun Rev 34:19–35Google Scholar
  7. 7.
    Degrossi LC, de Albuquerque JP, Fava MC, Mendiondo EM (2014) Flood citizen observatory: a crowdsourcing-based approach for flood risk management in Brazil. In: Proceedings of the 26th international conference on software engineering and knowledge, pp 1–3Google Scholar
  8. 8.
    Alt F, Shirazi AS, Schmidt A, Kramer U, Nawaz Z (2010) Location-based crowdsourcing: extending crowdsourcing to the real world. In: Proceedings of the 6th nordic conference on human-computer inter-action: extending boundaries. ACM, pp 13–22Google Scholar
  9. 9.
    Von Watzdorf S, Michahelles F (2010) Accuracy of positioning data on smartphones. In: Proceedings of the 3rd international workshop on location and the web. ACMGoogle Scholar

Copyright information

© Springer India 2016

Authors and Affiliations

  • Vishal Chandrasekaran
    • 1
  • Shivnesh V. Rajan
    • 1
  • Romil Kumar Vasani
    • 1
  • Anirudh Menon
    • 1
  • P. Bagavathi Sivakumar
    • 1
  • C. Shunmuga Velayutham
    • 1
  1. 1.Department of Computer Science and Engineering, Amrita School of EngineeringAmrita Vishwa Vidyapeetham (University)CoimbatoreIndia

Personalised recommendations