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

conference contribution
posted on 2024-11-03, 13:29 authored by Ludwig Trotter, Mike Harding, Peter Shaw, Nigel Davies, Chris Elsden, Chris Speed, John Vines, Aydin Abadi, Joshua Hallwright
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.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/3441000.3441014
  2. 2.
    ISBN - Is published in 9781450389754 (urn:isbn:9781450389754)

Start page

546

End page

557

Total pages

12

Outlet

ACM International Conference Proceeding Series

Editors

Naseem Ahmadpour,Tuck Leong, Bernd Ploderer, Callum Parker, Sarah Webber, Diego Munoz, Lian Loke, Martin Tomitsch

Name of conference

OzCHI '20: 32nd Australian Conference on Human-Computer Interaction

Publisher

Association for Computing Machinery

Place published

United States

Start date

2020-12-02

End date

2020-12-04

Language

English

Copyright

© 2020 ACM.

Former Identifier

2006106213

Esploro creation date

2021-06-19

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