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    Rights statement: © 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

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Programmable Donations: Exploring Escrow-based Conditional Giving

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

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Programmable Donations : Exploring Escrow-based Conditional Giving. / Elsden, Chris; Trotter, Ludwig Korbinian; Harding, Michael Paul; Davies, Nigel Andrew Justin; Speed, Chris; Vines, John.

ACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI. New York : ACM, 2019. 379.

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

Harvard

Elsden, C, Trotter, LK, Harding, MP, Davies, NAJ, Speed, C & Vines, J 2019, Programmable Donations: Exploring Escrow-based Conditional Giving. in ACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI., 379, ACM, New York, ACM CHI Conference on Human Factors in Computing Systems, Glasgow, United Kingdom, 4/05/19. https://doi.org/10.1145/3290605.3300609

APA

Elsden, C., Trotter, L. K., Harding, M. P., Davies, N. A. J., Speed, C., & Vines, J. (2019). Programmable Donations: Exploring Escrow-based Conditional Giving. In ACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI [379] ACM. https://doi.org/10.1145/3290605.3300609

Vancouver

Elsden C, Trotter LK, Harding MP, Davies NAJ, Speed C, Vines J. Programmable Donations: Exploring Escrow-based Conditional Giving. In ACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI. New York: ACM. 2019. 379 https://doi.org/10.1145/3290605.3300609

Author

Elsden, Chris ; Trotter, Ludwig Korbinian ; Harding, Michael Paul ; Davies, Nigel Andrew Justin ; Speed, Chris ; Vines, John. / Programmable Donations : Exploring Escrow-based Conditional Giving. ACM CHI Conference on Human Factors in Computing Systems: Weaving the Threads of CHI. New York : ACM, 2019.

Bibtex

@inproceedings{ddcab5df81364e098db79a437d6257f5,
title = "Programmable Donations: Exploring Escrow-based Conditional Giving",
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 {\textquoteleft}escrows{\textquoteright}, where donations are held before they are released or returned based on specified rules and conditions. To explore this we conducted pilotworkshops 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 elicitedhow 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, ourpaper contributes implications both for the design of programmable aid platforms, and the design of escrow-based financial services in general.",
author = "Chris Elsden and Trotter, {Ludwig Korbinian} and Harding, {Michael Paul} and Davies, {Nigel Andrew Justin} and Chris Speed and John Vines",
note = "{\textcopyright} 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; ACM CHI Conference on Human Factors in Computing Systems : Weaving the Threads of CHI, CHI 2019 ; Conference date: 04-05-2019 Through 09-05-2019",
year = "2019",
month = may,
day = "4",
doi = "10.1145/3290605.3300609",
language = "English",
isbn = "9781450359702 ",
booktitle = "ACM CHI Conference on Human Factors in Computing Systems",
publisher = "ACM",
url = "https://chi2019.acm.org/",

}

RIS

TY - GEN

T1 - Programmable Donations

T2 - ACM CHI Conference on Human Factors in Computing Systems

AU - Elsden, Chris

AU - Trotter, Ludwig Korbinian

AU - Harding, Michael Paul

AU - Davies, Nigel Andrew Justin

AU - Speed, Chris

AU - Vines, John

N1 - © 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

PY - 2019/5/4

Y1 - 2019/5/4

N2 - 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 pilotworkshops 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 elicitedhow 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, ourpaper contributes implications both for the design of programmable aid platforms, and the design of escrow-based financial services in general.

AB - 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 pilotworkshops 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 elicitedhow 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, ourpaper contributes implications both for the design of programmable aid platforms, and the design of escrow-based financial services in general.

U2 - 10.1145/3290605.3300609

DO - 10.1145/3290605.3300609

M3 - Conference contribution/Paper

SN - 9781450359702

BT - ACM CHI Conference on Human Factors in Computing Systems

PB - ACM

CY - New York

Y2 - 4 May 2019 through 9 May 2019

ER -