Microscopic Modeling of Crowds involving Individuals with Physical Disability: Exploring Social Force Interaction

For many supervised learning tasks it may be infeasible (or very expensive) to obtain objective and reliable labels. Instead, we can collect subjective (possibly noisy) labels from multiple experts or annotators. In practice, there is a substantial amount of disagreement among the annotators, and hence it is of great practical interest to address conventional supervised learning problems in thi...

We consider a general model of the non-cooperative provision of a public good. Under very weak assumptions there will always exist a unique Nash equilibrium in our model. A small redistribution of wealth among the contributing consumers will not change the equilibrium amount of the public good. However, larger redistributions of wealth will change the set of contributors and thereby change the ...

Given a collection of images of a static scene taken by many different people, we identify and segment interesting objects. To solve this problem, we use the distribution of images in the collection along with a new field-of-view cue, which leverages the observation that people tend to take photos that frame an object of interest within the field of view. Hence, image features that appear toget...

DAGGRE was part of a program that began in 2010 as a multi-team forecasting challenge sponsored by IARPA. To harness the “wisdom of crowds”, researchers built an online combinatorial prediction market for predicting events of interest to the U.S. intelligence community. Prediction markets have a long history (See Rhode & Stumpf, 2004.), and their value is described at length by Surowiecki (2004...

Sentiment analysis has recently gained popularity in the financial domain thanks to its capability to predict the stock market based on the wisdom of the crowds. Nevertheless, current sentiment indicators are still silos that cannot be combined to get better insight about the mood of different communities. In this article we propose a Linked Data approach for modelling sentiment and emotions ab...

Collective intelligence, or the wisdom of crowds, refers to a phenomenon by which, under the right conditions, groups of individuals can render highly accurate judgments. This phenomenon has long played an important role in economics, where understanding the behavior of groups is often essential to explaining economic outcomes. More recently, political scientists have shown that trends in publi...