Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Threat Modelling for Geodata in the Humanitarian Context

Version 1 : Received: 2 August 2023 / Approved: 3 August 2023 / Online: 3 August 2023 (11:16:39 CEST)

A peer-reviewed article of this Preprint also exists.

Masinde, B.K.; Gevaert, C.M.; Nagenborg, M.H.; Zevenbergen, J.A. Group-Privacy Threats for Geodata in the Humanitarian Context. ISPRS Int. J. Geo-Inf. 2023, 12, 393. Masinde, B.K.; Gevaert, C.M.; Nagenborg, M.H.; Zevenbergen, J.A. Group-Privacy Threats for Geodata in the Humanitarian Context. ISPRS Int. J. Geo-Inf. 2023, 12, 393.

Abstract

The role of geodata technologies in humanitarian action is arguably indispensable in determining when, where and who needs aid before, during and after a disaster. However, despite the advantages of using geodata technologies in humanitarianism (i.e., fast and efficient aid distribution), several ethical challenges arise including privacy. The focus has been on individual privacy, however, in this article we focus on group privacy whose debates has recently gained attention. We approach privacy through the lens of informational harms that undermine autonomy of groups and control of knowledge over them. Using demographically identifiable information (DII) as a definition for groups, we first assess how these are derived from geodata types used in humanitarian DRRM. Secondly, we discuss four informational harm threat models: (i) biases from missing/underrepresented categories, (ii) the mosaic effect – unintentional sensitive knowledge discovery from combining disparate datasets, (iii) misuse of data (whether it is shared or not); and (iv) cost-benefit analysis (cost of protection vs. risk of misuse). Lastly, borrowing from triage in emergency medicine, we propose a geodata triage as a possible method for practitioners to identify, prioritize, and mitigate these four group privacy harms.

Keywords

geodata; group privacy; demographically identifiable information; humanitarianism; disasters, threat models

Subject

Social Sciences, Geography, Planning and Development

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.