Computational Diplomacy: How "hackathons for good" feed a participatory future for multilateralism in the digital age
arXiv:2410.03286 · doi:10.1098/rsta.2024.0103
Abstract
This article explores the role of hackathons for good in building a community of software and hardware developers focused on addressing global SDG challenges. We theorise this movement as computational diplomacy: a decentralised, participatory process for digital governance that leverages collective intelligence to tackle major global issues. Analysing Devpost and GitHub data reveals that 30% of hackathons since 2010 have addressed SDG topics, employing diverse technologies to create innovative solutions. Hackathons serve as crucial kairos moments, sparking innovation bursts that drive both immediate project outcomes and long-term production. We propose that these events harness the neurobiological basis of human cooperation and empathy, fostering a collective sense of purpose and reducing interpersonal prejudice. This bottom-up approach to digital governance integrates software development, human collective intelligence, and collective action, creating a dynamic model for transformative change. By leveraging kairos moments, computational diplomacy promotes a more inclusive and effective model for digital multilateral governance of the future.
18 pages, 4 figures
References in corpus (10)
- Robust dynamic classes revealed by measuring the response function of a social system
- Social physics
- Endogenous Versus Exogenous Shocks in Complex Networks: an Empirical Test Using Book Sale Ranking
- The Extreme Risk of Personal Data Breaches & The Erosion of Privacy
- Empirical Tests of Zipf's law Mechanism In Open Source Linux Distribution
- Given Enough Eyeballs, All Bugs Are Shallow? Revisiting Eric Raymond with Bug Bounty Programs
- Hack Weeks as a model for Data Science Education and Collaboration
- How Much is the Whole Really More than the Sum of its Parts? 1 + 1 = 2.5: Superlinear Productivity in Collective Group Actions
- Collaboration Drives Individual Productivity
- Aristotle vs. Ringelmann: On Superlinear Production in Open Source Software