Crowdsourcing Crisis Management Platforms: A Privacy and Data Protection Risk Assessment and Recommendations

Halder, Buddhadeb (2017) Crowdsourcing Crisis Management Platforms: A Privacy and Data Protection Risk Assessment and Recommendations, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Law, science and technology, 28 Ciclo. DOI 10.6092/unibo/amsdottorato/7802.
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Over the last few years, crowdsourcing have expanded rapidly allowing citizens to connect with each other, governments to connect with common mass, to coordinate disaster response work, to map political conflicts, acquiring information quickly and participating in issues that affect day-to- day life of citizens. As emerging tools and technologies offer huge potential to response quickly and on time during crisis, crisis responders do take support from these tools and techniques. The ‘Guiding Principles’ of the Sendai Framework for Disaster Risk Reduction 2015-2030 identifies that ‘disaster risk reduction requires a multi-hazard approach and inclusive risk-informed decision-making (RIDM) based on the open exchange and dissemination of disaggregated data, including by sex, age and disability, as well as on easily accessible, up-to-date, comprehensible, science-based, non-sensitive risk information, complemented by traditional knowledge. Addressing the ‘Priority Action’ 1 & 2, this PhD research aims to identify various risks and present recommendations for ‘RIDM Process’ in form of a general Privacy and Data Protection Risk Assessment and Recommendations for crowdsourcing crisis management. It includes legal, ethical and technical recommendations.

Tipologia del documento
Tesi di dottorato
Halder, Buddhadeb
Dottorato di ricerca
Scuola di dottorato
Scienze giuridiche
Settore disciplinare
Settore concorsuale
Parole chiave
Crowdsourcing, Disaster Management, ICT, Privacy Analysis, Security, Data Protection, Recommendations.
Data di discussione
30 Gennaio 2017

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