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Crowdfunding Public Projects with Provision Point: A Prediction Market Approach

Chandra, Praphul and Gujar, Sujit and Narahari, Y (2016) Crowdfunding Public Projects with Provision Point: A Prediction Market Approach. In: 22nd European Conference on Artificial Intelligence (ECAI), AUG 29-SEP 02, 2016, Hague, NETHERLANDS, pp. 778-786.

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Official URL: http://dx.doi.org/10.3233/978-1-61499-672-9-778

Abstract

Crowdfunding is emerging as a popular means to generate funding from citizens for public projects. This is popularly known as civic crowdfunding. In this paper, we focus on crowdfunding public projects with provision point: these are projects in which contributions must reach a predetermined threshold in order for the project to be provisioned. On web based civic crowdfunding platforms, the success of crowdfunding public projects has been somewhat mixed. In this paper, our objective is to design a mechanism that improves the success of crowdfunding public projects. In particular, we propose a class of mechanisms for crowdfunding platforms with sequentially arriving agents. This class of mechanisms induces an extensive form game for agents arriving on the platform and we show that the game has a non-empty set of sub-game perfect equilibria at which the project is fully funded. We call this new class of mechanisms Provision Point Mechanism with Securities (PPS). The novelty of PPS lies in the use of a prediction market to incentivize agents to contribute in proportion to their true value for the project and to contribute as soon as they arrive at the crowdfunding platform. Different variations of PPS are possible depending on the underlying prediction market. In this paper, we use a cost function (or equivalently, scoring rule) based prediction market; in fact, we specify the requirements that a cost function should satisfy to be used in PPS. We study and compare two specific instances of PPS: (1) Logarithmic Market Scoring Rule based and (2) Quadratic Scoring Rule based. We also discuss the considerations that should guide the choice of the cost function when deploying our mechanism on crowdfunding platforms.

Item Type: Conference Proceedings
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Additional Information: Copy right for this article belongs to the IOS PRESS, NIEUWE HEMWEG 6B, 1013 BG AMSTERDAM, NETHERLANDS
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 03 Dec 2016 09:44
Last Modified: 03 Dec 2016 09:44
URI: http://eprints.iisc.ernet.in/id/eprint/55367

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