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Over the past two decades, a number of digital platforms have been developed with the aim of engaging citizens in scientific research projects. The success of these platforms depends in no small part on their ability to attract and retain participants, tur ...
The amount of controversial issues being discussed on the Web has been growing dramatically. In articles, blogs, and wikis, people express their points of view in the form of arguments, i.e., claims that are supported by evidence. Discovery of arguments ha ...
The collective dynamic behavior of large groups of interacting autonomous agents (swarms) have inspired much research in both fundamental and engineering sciences. It is now widely acknowledged that the intrinsic nonlinearities due to mutual interactions c ...
Collective behaviour enhances environmental sensing and decision-making in groups of animals. Experimental and theoretical investigations of schooling fish, flocking birds and human crowds have demonstrated that simple interactions between individuals can ...
Machine learning applications can benefit greatly from vast amounts of data, provided that reliable labels are available. Mobilizing crowds to annotate the unlabeled data is a common solution. Although the labels provided by the crowd are subjective and no ...
This dissertation focuses on collective forms or organizing that through crowds or communities undertake production or innovation activities. Such organizations deviate from the traditional notions of hierarchy, authority, and control; however, they are st ...
EPFL2017
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In this paper, we provide guidelines for strategically using crowds as part of a crowdsourcing strategy and an open innovation portfolio. We start by defining crowd organizations as sustained through a crowd of loosely coupled and mutually aligned agents t ...
2015
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In this paper, we provide guidelines for strategically using crowds as part of a crowdsourcing strategy and an open innovation portfolio. We start by defining crowd organisations as sustained through a crowd of loosely coupled and equally aligned agents th ...
2016
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In this work we aim to study “crowd” dynamics in small teams. To this end, we use the typology of crowds discussed in Viscusi and Tucci [2015] as an interpretive framework, arguing that other characteristics are relevant to identify crowds than the number ...
2017
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Queues at signalized intersections are the main cause of traffic delays and travel time variability in urban networks. In this article, we propose a method to estimate queue profiles that are traffic shockwave polygons in the time-space plane describing th ...
