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  • OzCHI Smart Donations

    Rights statement: © ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in OzChi'20: Proceedings of the 32nd Australian Conference On Human-Computer Interaction, 2020 http://doi.acm.org/10.1145/3441000.3441014

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Smart Donations: Event-Driven Conditional Donations Using Smart Contracts On The Blockchain

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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Publication date4/12/2020
Host publicationOzChi'20: Proceedings of the 32nd Australian Conference On Human-Computer Interaction
Place of PublicationNew York
PublisherACM
Pages546-557
Number of pages12
ISBN (print)9781450389754
<mark>Original language</mark>English

Abstract

Recent work has questioned the largely unconditional nature of charitable donations and explored the value of conditional giving with contemporary donors. In this paper, we extend this work by exploring how to operationalise features of conditionality in charitable giving, situated in the context of large international non-governmental organisations (NGOs). Building on prior engagements with international aid organisations, we present design considerations and a conceptual architecture supporting real-time, conditional giving for individual and institutional donations. Our architecture leverages properties of distributed-ledger technologies (DLT) to empower donors to (i) attach conditions to their donation, (ii) store funds in a secure, decentralised escrow and (iii) automatically release funds once conditions are met. Unlike prior work that envisions radical disintermediation and the removal of intermediate NGOs using DLT, our work recognises the expertise of NGOs in tackling complex global problems and instead investigates compelling new way for charities to increase transparency and accountability by introducing dynamic pledge controls.

Bibliographic note

© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in OzChi'20: Proceedings of the 32nd Australian Conference On Human-Computer Interaction, 2020 http://doi.acm.org/10.1145/3441000.3441014