Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Reducing Costs in HSM-Based Data Centers Read chapter Read first chapter

2017 | OriginalPaper | Chapter

A Digital Knowledge Ecosystem to Increase Participation in Emergency Warnings and Alerts Management

Authors : Paloma Díaz, Teresa Onorati, Ignacio Aedo

Published in: Green, Pervasive, and Cloud Computing

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Early warning contributes to reduce the damages when updated and reliable information is collected before a hazard happens, so that early response can be orchestrated. Integrating volunteers and citizens into data collection can help to get a better picture of the situation, since they are intelligent sensors equipped with mobile devices that can be used everywhere to collect and share information. In this paper we discuss the architecture of a digital knowledge ecosystem to support such participatory early warning process. This DKE deals with a complex knowledge coproduction problem by separating information according to its meaning, quality and reliability. The use of technological tools is aimed at supporting a self-organized, scalable and sustainable process. The different agents and interactions involved and some design requirements are drawn from a use case in the context of the Spanish early warning system.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Human-Centered Design of a Personal Medication Assistant - Putting Polypharmacy Management into Patient’s Hand!
next chapter An Intelligent Framework for Predicting State War Engagement from Territorial Data
Literature
1.
Briscoe, G.: Complex adaptive digital ecosystems. In: Proceedings of the International Conference on Management of Emergent Digital EcoSystems, pp. 39–46. ACM (2010)
2.
Petak, W.J.: Emergency management: a challenge for public administration. Publ. Adm. Rev. 45, 3–7 (1985)CrossRef
3.
Oliver-Smith, A., Hoffman, S.M.: Theorizing disasters: nature, power and culture. In: Oliver-Smith, A. (ed.) Catastrophe and Culture: The Anthropology of Disaster. School of American Research Press, Santa Fe (2002)
4.
Turoff, M., Chumer, M., Van de Walle, B., Yao, X.: The design of a dynamic emergency response management information system (Dermis). J. Inf. Technol. Theory Appl. (JITTA) 5(4), 1–36 (2004)
5.
Waugh, W.L., Streib, G.: Collaboration and leadership for effective emergency management. Public Adm. Rev. 66(s1), 131–140 (2006)CrossRef
6.
Principles of Emergency Management. FEMA, Washington DC (2007)
7.
Goodchild, M.F.: Citizens as sensors: the world of volunteered geography. GeoJournal 69(4), 211–221 (2007)CrossRef
8.
Palen, L., Anderson, K.M., Mark, G., Martin, J., Sicker, D., Palmer, M., Grunwald, D.: A vision for technology-mediated support for public participation & assistance in mass emergencies & disasters. In: Proceedings of the 2010 ACM-BCS Visions of Computer Science Conference, p. 8. British Computer Society (2010)
9.
Díez, D., Díaz, P., Aedo, I.: virtual communities of practice: design directions for technology-mediated collaboration in the early warning activity. In: Proceedings of 7th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2010) (2010)
10.
Silvertown, J.: A new dawn for citizen science. Trends Ecol. Evol. 24(9), 467–471 (2009)CrossRef
11.
Norris, F.H., Stevens, S.P., Pfefferbaum, B., Wyche, K.F., Pfefferbaum, R.L.: Community resilience as a metaphor, theory, set of capacities, and strategy for disaster readiness. Am. J. Commun. Psychol. 41(1–2), 127–150 (2008)CrossRef
12.
Dynes, R.R.: Social capital dealing with community emergencies. Homel. Secur. Aff. 2, 1–26 (2006)
13.
Díaz, P., Carroll, J.M., Aedo, I.: Coproduction as an approach to technology-mediated citizen participation in emergency management. Future Internet 8(3), 41 (2016)CrossRef
14.
French, S., Niculae, C.: Believe in the model: mishandle the emergency. J. Homel. Secur. Emerg. Manag. 2(1), Article No. 1 (2005)
15.
Hildreth, P.M., Kimble, C.: The duality of knowledge. Inf. Res. 8(1), 1–18 (2002)
16.
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRef
17.
Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)CrossRef
18.
Mathieson, K., Peacock, E., Chin, W.W.: Extending the technology acceptance model: the influence of perceived user resources. SIGMIS Database 32(3), 86–112 (2001)CrossRef
19.
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)CrossRef
20.
Aedo, I., Díaz, P., Carroll, J.M., Convertino, G., Rosson, M.B.: End-user oriented strategies to facilitate multi-organizational adoption of emergency management information systems. Inf. Process. Manag. 46(1), 11–21 (2010)CrossRef
21.
Zhang, P., Li, N., Sun, H.: Affective quality and cognitive absorption: extending technology acceptance research. In: Proceedings of the 39th Annual Hawaii International Conference on System Sciences, HICSS 2006, vol. 8, p. 207a. IEEE (2006)
22.
O’Brien, H.L., Toms, E.G.: What is user engagement? A conceptual framework for defining user engagement with technology. J. Am. Soc. Inf. Sci. Technol. 59(6), 938–955 (2008)CrossRef
23.
Stallings, R.A., Quarantelli, E.L.: Emergent citizen groups and emergency management. Public Adm. Rev. 45, 93–100 (1985)CrossRef
24.
Ginige, A., Paolino, L., Romano, M., Sebillo, M., Tortora, G., Vitiello, G.: Information sharing among disaster responders-an interactive spreadsheet-based collaboration approach. Comput. Support. Coop. Work 23(4–6), 547–583 (2014)CrossRef
25.
Sutton, J., Palen, L., Shklovski, I.: Backchannels on the front lines: emergent use of social media in the 2007 Southern California fire. In: Proceedings of Information Systems for Crisis Response and Management Conference (ISCRAM), Washington DC (2008)
26.
Endsley, M.R.: Design and evaluation for situation awareness enhancement. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 32(2), pp. 97–101. SAGE Publications (1988)
27.
Malizia, A., Bellucci, A., Diaz, P., Aedo, I., Levialdi, S.: eStorys: a visual storyboard system supporting back-channel communication for emergencies. J. Vis. Lang. Comput. 22(2), 150–169 (2011)CrossRef
28.
Diaz, P., Onorati, T., Olmo Pueblas, S.: Analyzing and visualizing emergency information in a multi device environment. In: Díaz, P., Bellamine Ben Saoud, N., Dugdale, J., Hanachi, C. (eds.) ISCRAM-med 2016. LNBIP, vol. 265, pp. 181–194. Springer, Cham (2016). doi:10.​1007/​978-3-319-47093-1_​16 CrossRef
29.
Keim, D.A., Mansmann, F., Schneidewind, J., Ziegler, H.: Challenges in visual data analysis. In: Tenth International Conference on Information Visualization, (IV 2006), pp. 2–7 (2006)
30.
de León, J.C.V., Bogardi, J., Dannenmann, S., Basher, R.: Early warning systems in the context of disaster risk management. Entwicklung Ländlicher Raum 2, 23–25 (2006)
31.
Onorati, T., Díaz, P.: Giving meaning to tweets in emergency situations: a semantic approach for filtering and visualizing social data. SpringerPlus 5(1), 1782 (2016)CrossRef
Metadata
Title
A Digital Knowledge Ecosystem to Increase Participation in Emergency Warnings and Alerts Management
Authors
Paloma Díaz
Teresa Onorati
Ignacio Aedo
Copyright Year
2017
Book
Green, Pervasive, and Cloud Computing

Print ISBN: 978-3-319-57185-0

Electronic ISBN: 978-3-319-57186-7

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-57186-7_50

Premium Partner

    Image Credits