Programmable Donations:Exploring Escrow-based Conditional Giving

Elsden, Chris and Trotter, Ludwig Korbinian and Harding, Michael Paul and Davies, Nigel Andrew Justin and Speed, Chris and Vines, John (2019) Programmable Donations:Exploring Escrow-based Conditional Giving. In: ACM CHI Conference on Human Factors in Computing Systems. ACM, GBR. ISBN 9781450359702

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Abstract

This paper reports on a co-speculative interview study with charitable donors to explore the future of programmable, conditional and data-driven donations. Responding to the rapid emergence of blockchain-based and AI-supported financial technologies, we specifically examine the potential of automated, third-party ‘escrows’, where donations are held before they are released or returned based on specified rules and conditions. To explore this we conducted pilot workshops with 9 participants and an interview study in which 14 further participants were asked about their experiences of donating money, and invited to co-speculate on a service for programmable giving. The study elicited how data-driven conditionality and automation could be leveraged to create novel donor experiences, however also illustrated the inherent tensions and challenges involved in giving programmatically. Reflecting on these findings, our paper contributes implications both for the design of programmable aid platforms, and the design of escrow-based financial services in general.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2019. 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 Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems,Paper No. 379 https://dl.acm.org/citation.cfm?id=3300609
ID Code:
131160
Deposited By:
Deposited On:
19 Feb 2019 10:10
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Sep 2020 06:43