Under which conditions does collective intelligence provide accurate decision-making support for complex problems and when does it fail? Concepts of collective intelligence (aka the “wisdom of crowds”) play increasingly fundamental roles in understanding and modelling complex reasoning and evaluation scenarios. We look at the networks behind opinion formation, the impact of network embeddedness and diversity on collective intelligence, and how to support collective reasoning and collective intelligence in online platforms.
Current projects include:
Igor Zakhlebiny and Emőke-Ágnes Horvát. Investor retention in equity crowdfunding. InProceedings of the 11th ACM Conference on Web Science (WebSci’19), pages 343–351, Boston, MA, 2019
H Dambanemuya and E-Á Horvát, Harnessing collective intelligence in P2P lending, ACM Web Science, Boston, 2019 [pdf]
E-Á Horvát, J Wachs, R Wang, A Hannák, The role of novelty in securing investors for equity crowdfunding campaigns, AAAI Conference on Human Computation and Crowdsourcing, Zurich, Switzerland, 2018 [pdf]
P Singh, J Uparna, P Karampourniotis, E-Á Horvát, B Szymanski, Gy Korniss, JZ Bakdash, B Uzzi, Peer-to-peer lending and bias in crowd decision-making, PLOS One 13(3): e0193007, 2018 [pdf]
E-Á Horvát and T Papamarkou, Gender differences in equity crowdfunding, AAAI Conference on Human Computation and Crowdsourcing, Quebec City, Canada, 2017 [pdf]
E-Á Horvát, J Uparna, B Uzzi, Market- vs network relations: The effect of friends in crowdfunding, Proc. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015 [pdf]