Project description DEENESFRITPL A closer look at election manipulation It is widely theorised that large electorates can make accurate decisions by collectively considering information from numerous voters. However, this theory overlooks the presence of biased organisers who seek to manipulate the outcomes. These organisers can include CEOs conducting shareholder votes, regional governments organising referendums and political parties during general elections. The ERC-funded InfoAggregation project aims to investigate how biased and privately informed entities – referred to as election organisers – impact the information aggregation capacity of elections. The project will develop and analyse new voting models while examining the effectiveness of institutional safeguards designed to prevent such manipulation. InfoAggregation will also apply the theory to analyse shareholder voting and corporate control, exploring ways to mitigate bias and ensure fair outcomes. Show the project objective Hide the project objective Objective Elections are the foundation for democratic decision making. This research program will examine the effects of biased and privately informed entities—election organizers—on the ability of elections to aggregate information: Existing theory demonstrates that large electorates can reach correct decisions by aggregating information dispersed among many voters. However, existing theory does not account for the ubiquitous presence of biased organizers who intend to affect the election outcome. Examples of biased organizers may include a CEO holding a shareholder vote, a regional government holding a referendum, and political parties in general elections.This project will develop and analyze new models of voting that account for the effects of biased organizers on information aggregation. One of the examples I consider is an election organizer who can increase voter participation at some cost (e.g. through advertising). Preliminary work suggests that the presence of biased organizers has significant impact. As increasing participation becomes cheap, equilibria exist where the election organizer recruits a large number voters and yet the majority votes almost surely for the organizer’s favorite policy. This failure of information aggregation contrasts starkly with existing results for elections in which the number of voters is exogenously large. I will study the effectiveness of institutional safeguards against such manipulation, including supermajority rules, publicity requirements, and the regulation of communication to voters, and I will apply the theory in the context of shareholder voting and corporate control. Thus, this research program has important implications for the design of elections in realistic voting scenarios. Fields of science social sciencespolitical sciencespolitical transitionselections Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-StG-2014 - ERC Starting Grant Call for proposal ERC-2014-STG See other projects for this call Funding Scheme ERC-STG - Starting Grant Coordinator RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN Net EU contribution € 616 003,00 Address Regina pacis weg 3 53113 Bonn Germany See on map Region Nordrhein-Westfalen Köln Bonn, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00 Beneficiaries (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN Germany Net EU contribution € 616 003,00 Address Regina pacis weg 3 53113 Bonn See on map Region Nordrhein-Westfalen Köln Bonn, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
