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

Trotter, Ludwig, Harding, Mike, Elsden, Chris, Abadi, Aydin, Davies, Nigel, Vines, John, Shaw, Peter, Speed, Chris and Hallwright, Josh (2020) Smart Donations: Event-Driven Conditional Donations Using Smart Contracts on The Blockchain. In: OzCHI '20: 32nd Australian Conference on Human-Computer Interaction. Association for Computing Machinery (ACM), pp. 546-557. ISBN 9781450389754

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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.

Item Type:	Book Section
Article Type:	Article
Uncontrolled Keywords:	Blockchain; Charitable Giving; Event-Driven Computing; Conditionality
Subjects:	H Social Sciences > HF Commerce > HF5001 Business H Social Sciences > HF Commerce > HF5001 Business > HF5387 Business Ethics H Social Sciences > HG Finance > HG4001 Finance management. Business finance Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Kate Greenaway
Date Deposited:	11 Mar 2021 12:48
Last Modified:	01 Sep 2023 12:45
URI:	https://eprints.glos.ac.uk/id/eprint/9405

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