Extending the Outreach: From Smart Cities to Connected Communities

Abstract

Connected Communities (CCs) are socio-technical systems that rely on an information and communication technology (ICT) infrastructure to integrate people and organizations (companies, schools, hospitals, universities, local and national government agencies) willing to share information and perform joint decision-making to create sustainable and equitable work and living environments. We discuss a research agenda considering CCs from three distinct but complementary points of view: CC metaphors, models, and services.

References

1. Ernesto Damiani, Sabrina De Capitani di Vimercati, and Pierangela Samarati. 2003. Managing multiple and dependable identities. IEEE Internet Comput. 7, 6 (November 2003), 29--37. DOI:10.1109/MIC.2003.1250581.
2. Rajiv Khosla, Ernesto Damiani, and William Grosky. 2003. Human-Centered e-Business. Springer.
3. Erica Kochi. 2012. How the future of mobile lies in the developing world. TechCrunch. Retrieved from http://techcrunch.com/2012/05/27/mobile-developing-world.
4. Andrea Caragliu, Chiara Del Bo, and Peter Nijkamp. 2011. Smart cities in Europe. J. Urban Technol. 18, 2 (August 2011), 65--82. DOI:10.1080/10630732.2011.601117.
5. Alison Mathie and Gord Cunningham. 2003. From clients to citizens: Asset-based Community Development as a strategy for community-driven development. Dev. Practice 13, 5 (November 2003), 474--486. DOI:10.1080/0961452032000125857
6. Alasdair John Howard Jones, Jonathan Rowson, and Steve Broome. 2010. Connected communities: How social networks power and sustain the big society. Royal Society for the Encouragement of Arts, Manufactures and Commerce, London, UK. Retrieved from https://www.thersa.org/discover/publications-and-articles/reports/connected-communities-how-social-networks-power-and-sustain-the-big-society.
7. David Morris and Alison Gilchrist. 2011. Communities connected, inclusion, participation and common purpose. Royal Society for the Encouragement of Arts, Manufactures and Commerce, London, UK. Retrieved from https://www.thersa.org/discover/publications-and-articles/reports/communities-connected-inclusion-participation-and-common-purpose.
8. Stephen Graham. 2002. Bridging urban digital divides? Urban polarisation and information and communications technologies (ICTs). Urban Studies 39, 1 (January 2002), 33--56. DOI:10.1080/00420980220099050
9. Guanglun Michael Mu and Yang Hu. 2016. Urbanisation and Migration: Living with Vulnerabilities and Opportunities in a Migration Context. Springer, 1--23. DOI:10.1007/978-94-6300-785-6_1.
10. Stelvio Cimato, Ernesto Damiani, Fulvio Frati, Joël T. Hounsou, and Judicaël Tandjiékpon. 2015. Paying with a selfie: A hybrid micro-payment framework based on visual cryptography. In Proceedings of 7th EAI International Conference on e‐Infrastructure and e‐Services for Developing Countries (Africomm’15), Cotonou, Benin, 136--141. DOI:10.1007/978-3-319-43696-8_15.
11. Hugh Chipman, Edward I. George, and Robert E. McCulloch. 2001. The practical implementation of bayesian model selection. IMS Lecture Notes—Monograph Series 38 (July 2008), 65--116. DOI:10.1214/lnms/1215540964.
12. Manuel Herrera Joaquin Izquierdo, Rafael Pérez-Garćıa, and David Ayala-Cabrera. 2013. On-line learning of predictive kernel models for urban water demand in a smart city. In Proceedings of 12th International Conference on Computing and Control for the Water Industry (CCWI’13). 791--799. DOI:10.1016/j.proeng.2014.02.086.
13. Chao Huang, Xian Wu, and Dong Wang. 2016. Crowdsourcing-based urban anomaly prediction system for smart cities. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. 1969--1972. DOI:10.1145/2983323.2983886.
14. Steven L. Scott, Alexander W. Blocker, and Fernando V. Bonassi. 2016. Bayes and big data: The consensus Monte Carlo algorithm. Int. J. Manage. Sci. Eng. Manage. 11, 2 (February 2016), 78--88. DOI:10.1080/17509653.2016.1142191.
15. Longevity Bulletin from the Institute and Faculty of Actuaries (IFoA), Issue no. 9. 2010. Big Data in e-Health. Retrieved from https://www.actuaries.org.uk/learn-and-develop/research-and-knowledge/our-journals-and-research-publications/longevity-bulletin/longevity-bulletin-big-data-health-issue-9.
16. Mahmood Hasan Khan. 2000. Rural poverty in developing countries Finance Dev. 37, 4. Retrieved from http://www.imf.org/external/pubs/ft/fandd/2000/12/khan.htm.
17. Adetola Oredope, Aaron McConnell, Cathryn Peoples, Reena Singh, Timothy A. Gonsalves, Klaus Moessner, and Gerard P. Parr. 2013. Cloud services in mobile environments—The IU-ATC UK-india mobile cloud proxy function. In Proceedings of 19th European Wireless Conference (EW’13). 1--7. Retrieved from http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber==6582831&isnumber==6582750.
18. Md Israfil Biswas, Gerard Parr, Sally McClean, Philip Morrow, and Bryan Scotney. 2014. SLA-based scheduling of applications for geographically secluded clouds. In Proceedings of 2014 International Conference and Workshop on the Network of the Future (NOF’14). 1--8. DOI:10.1109/NOF.2014.7119800.

Index Terms

• Human-centered computing

  • Human computer interaction (HCI)

    • Interaction paradigms

      • Web-based interaction

• Social and professional topics

  • Professional topics

    • Computing and business

      • Socio-technical systems