Related publications (19)

Turning crowds into communities: The collectives of online citizen science

Jérôme Baudry

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 ...
2021

Crowd Dynamics and Crowd Capital in Small Teams: Insights from three crowdsourcing exercises in higher education

Christopher Tucci, Gianluigi Viscusi

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

Three Essays on Collective Forms of Organizing for Production and Innovation

Joana Rodrigues Pereira

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

Argument discovery via crowdsourcing

Karl Aberer, Quoc Viet Hung Nguyen, Thành Tâm Nguyên, Chi Thang Duong

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 ...
Springer Verlag2017

“What’s the frequency, Kenneth?” Defining the crowd organization

Christopher Tucci, Gianluigi Viscusi, Joana Rodrigues Pereira

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

Control of agent swarms in random environments

Guillaume Adrien Sartoretti

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 ...
EPFL2016

Modeling annotator behaviors for crowd labeling

Oya Aran

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 ...
2015

“What’s the frequency, Kenneth?” Defining the crowd organization

Christopher Tucci, Gianluigi Viscusi, Joana Rodrigues Pereira

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

Mechanosensory interactions drive collective behaviour in Drosophila

Dario Floreano, Pavan P Ramdya, Pawel Lichocki, Lukas Frisch, Winnie Wing Yee Tse

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 ...
2015

Queue Profile Estimation in Congested Urban Networks with Probe Data

Nikolaos Geroliminis, Mohsen Ramezani Ghalenoei

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 ...
2015

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