Publications related to Sense of community

Discrete choice and machine learning: Thomson and Thompson?

Classification methods from machine learning are receiving a lot of attention in the transportation modelling community. This is motivated by the access to large databases, and to various success stories reported in this research community. Discrete choice ...

2019

Functional traits as a new approach for interpreting testate amoeba palaeo-records in peatlands and assessing the causes and consequences of past changes in species composition

Edward Mitchell, Vincent Eric Jules Jassey, Enrique Lara, Bertrand Fournier

Subfossil remains of various groups of organisms preserved in peat and sediment archives are commonly used to infer past environmental changes using transfer functions based on species composition. However, the changes in community structure can also be ex ...

Sage Publications Ltd2015

Incentives for Truthful Information Elicitation of Continuous Signals

Boi Faltings, Goran Radanovic

We consider settings where a collective intelligence is formed by aggregating information contributed from many independent agents, such as product reviews, community sensing, or opinion polls. We propose a novel mechanism that elicits both private signals ...

2014

Incentive Mechanisms for Community Sensing

Boi Faltings, Radu Jurca, Jingshi Li

Sensing and monitoring of our natural environment are important for sustainability. As sensor systems grow to a large scale, it will become infeasible to place all sensors under centralized control. We investigate community sensing, where sensors are contr ...

Ieee Computer Soc2014

Eliciting Truthful Measurements from a Community of Sensors

Boi Faltings, Radu Jurca, Jingshi Li

As the Internet of Things grows to large scale, its components will increasingly be controlled by selfinterested agents. For example, sensor networks will evolve to community sensing where a community of agents combine their data into a single coherent str ...

2012

OpenSense: open community driven sensing of environment

Karl Aberer, Boi Faltings, Alcherio Martinoli, Guillermo Barrenetxea Kobas, Saket Sathe, Dipanjan Chakraborty

This paper outlines a vision for community-driven sensing of our environment. At its core, community sensing is a dynamic new form of mobile geosensor network. We believe that community sensing networks, in order to be widely deployable and sustainable, ne ...

ACM2010