224
M. J. C. van den Homberg et al.
accessible on the very same smartphone. Ultimately, we aim at replicating the same
approach also to other flood-affected countries in Asia.
Acknowledgements This research was supported by Cordaid as part of the People Centered Interactive Risk and Information Gateway project and TNO offered internship support to Robert Monné.
The authors gratefully acknowledge Marlou Geurts, MA, the program leader from Cordaid for her
invaluable support and our interviewees who made so generously time available for providing us
with their insights.
References
Campbell, H. (2016). Coordinated data scramble. https://www.humanitarianresponse.info/
en/topics/imwg/document/coordinated-data-scramble-ppt30june2016. Accessed November 15,
2017.
Comes, T., Walle, B., Brugghemans, B., Chan, J., Meesters, K., & van den Homberg, M. J. C.
(2013). A journey into the information Typhoon Haiyan Disaster: Resilience Lab Field Report
findings and research insights: Part I-Into the Fields. The Disaster Resilience Lab.
Davies, T., & Perini, F. (2016). Researching the emerging impacts of open data: revisiting the ODDC
conceptual framework. The Journal of Community Informatics, 12(2).
Geodash. (2017). https://geodash.gov.bd/. Accessed November 15, 2017.
Gralla, E., Goentzel, J., & Van de Walle, B. (2015). Understanding the information needs of fieldbased decision-makers in humanitarian response to sudden onset disasters. In Proceedings of
the 12th International Conference on Information Systems for Crisis Response and Management
(ISCRAM).
Hallegatte, S., Vogt-Schilb, A., Bangalore, M., & Rozenberg, J. (2016). Unbreakable: Building the
resilience of the poor in the face of natural disasters. World Bank Publications.
Hristidis, V., Chen, S. C., Li, T., Luis, S., & Deng, Y. (2010). Survey of data management and
analysis in disaster situations. Journal of Systems and Software, 83(10), 1701–1714.
IFRC Emergency Items Catalogue. http://itemscatalogue.redcross.int/. Accessed November 15,
2017.
Keßler, C., & Hendrix, C. (2015). The humanitarian exchange language: Coordinating disaster
response with semantic web technologies. Semantic Web Journal, 6(1), 6–21.
Leidig, M., & Teeuw, R. M. (2015). Quantifying and mapping global data poverty. PLoS ONE,
10(11).
Meier, P. (2015), Digital humanitarians, how big data is changing the face of humanitarian response.
Taylor & Francis Press.
MIRA, Multi-Sector Initial Rapid Assessment Guidance—Revision July 2015, https://www.
humanitarianresponse.info/en/programme-cycle/space/document/multi-sector-initial-rapidassessment-guidance-revision-july-2015, Accessed November 15, 2017.
Monné, R. (2016). Determining relevant disparate disaster data and selecting an integration method
to create actionable information. M.Sc. thesis, Utrecht University.
Nissen, L.P. (2015), Keynote III Wag the Dog—Information management and decision making in
the humanitarian sector. In Palen, Büscher, Comes, & Hughes (Eds.), Introduction Proceedings
of the ISCRAM 2015 Conference—Kristiansand, May 24–27.
Pachidi, S., Spruit, M., Weerd, I. van der. (2014). Understanding users’ behavior with software
operation data mining. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital
(pp. 583–594).
Preece, G., Shaw, D., & Hayashi, H. (2013). Using the viable system model (VSM) to structure information processing complexity in disaster response. European Journal of Operational Research,
224(1), 209–218.
M. J. C. van den Homberg et al.
accessible on the very same smartphone. Ultimately, we aim at replicating the same
approach also to other flood-affected countries in Asia.
Acknowledgements This research was supported by Cordaid as part of the People Centered Interactive Risk and Information Gateway project and TNO offered internship support to Robert Monné.
The authors gratefully acknowledge Marlou Geurts, MA, the program leader from Cordaid for her
invaluable support and our interviewees who made so generously time available for providing us
with their insights.
References
Campbell, H. (2016). Coordinated data scramble. https://www.humanitarianresponse.info/
en/topics/imwg/document/coordinated-data-scramble-ppt30june2016. Accessed November 15,
2017.
Comes, T., Walle, B., Brugghemans, B., Chan, J., Meesters, K., & van den Homberg, M. J. C.
(2013). A journey into the information Typhoon Haiyan Disaster: Resilience Lab Field Report
findings and research insights: Part I-Into the Fields. The Disaster Resilience Lab.
Davies, T., & Perini, F. (2016). Researching the emerging impacts of open data: revisiting the ODDC
conceptual framework. The Journal of Community Informatics, 12(2).
Geodash. (2017). https://geodash.gov.bd/. Accessed November 15, 2017.
Gralla, E., Goentzel, J., & Van de Walle, B. (2015). Understanding the information needs of fieldbased decision-makers in humanitarian response to sudden onset disasters. In Proceedings of
the 12th International Conference on Information Systems for Crisis Response and Management
(ISCRAM).
Hallegatte, S., Vogt-Schilb, A., Bangalore, M., & Rozenberg, J. (2016). Unbreakable: Building the
resilience of the poor in the face of natural disasters. World Bank Publications.
Hristidis, V., Chen, S. C., Li, T., Luis, S., & Deng, Y. (2010). Survey of data management and
analysis in disaster situations. Journal of Systems and Software, 83(10), 1701–1714.
IFRC Emergency Items Catalogue. http://itemscatalogue.redcross.int/. Accessed November 15,
2017.
Keßler, C., & Hendrix, C. (2015). The humanitarian exchange language: Coordinating disaster
response with semantic web technologies. Semantic Web Journal, 6(1), 6–21.
Leidig, M., & Teeuw, R. M. (2015). Quantifying and mapping global data poverty. PLoS ONE,
10(11).
Meier, P. (2015), Digital humanitarians, how big data is changing the face of humanitarian response.
Taylor & Francis Press.
MIRA, Multi-Sector Initial Rapid Assessment Guidance—Revision July 2015, https://www.
humanitarianresponse.info/en/programme-cycle/space/document/multi-sector-initial-rapidassessment-guidance-revision-july-2015, Accessed November 15, 2017.
Monné, R. (2016). Determining relevant disparate disaster data and selecting an integration method
to create actionable information. M.Sc. thesis, Utrecht University.
Nissen, L.P. (2015), Keynote III Wag the Dog—Information management and decision making in
the humanitarian sector. In Palen, Büscher, Comes, & Hughes (Eds.), Introduction Proceedings
of the ISCRAM 2015 Conference—Kristiansand, May 24–27.
Pachidi, S., Spruit, M., Weerd, I. van der. (2014). Understanding users’ behavior with software
operation data mining. Computers in Human Behavior, 30, Special Issue: ICTs for Human Capital
(pp. 583–594).
Preece, G., Shaw, D., & Hayashi, H. (2013). Using the viable system model (VSM) to structure information processing complexity in disaster response. European Journal of Operational Research,
224(1), 209–218.