Publications associées à OpenSense: open community driven sensing of environment

Publications associées (21)

Referencing in YouTube Knowledge Communication Videos

In recent years, there has been widespread concern about misinformation and hateful content on social media that are damaging societies. Being one of the most influential social media that practically serves as a newsearch engine, YouTube has accepted crit ...

Assoc Computing Machinery2023

Geoinformation Harvesting From Social Media Data: A community remote sensing approach

Devis Tuia

As unconventional sources of geoinformation, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multiperspective stream, but with unknown and diverse quality. Due to its complementarity to rem ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020

Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot

This dataset contains a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA) based on the corrected particle number concentration data (DOI upcoming) measured during the year long MOSAiC expedition from October ...

Zenodo2022

Graph signal processing tailored for subgraph focus and community structure

Miljan Petrovic

Community structure in graph-modeled data appears in a range of disciplines that comprise network science. Its importance relies on the influence it bears on other properties of graphs such as resilience, or prediction of missing connections. Nevertheless, ...

EPFL2022

Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions

Robert West, Manoel Horta Ribeiro

Wikipedia, the largest encyclopedia ever created, is a global initiative driven by volunteer contributions. When the COVID-19 pandemic broke out and mobility restrictions ensued across the globe, it was unclear whether contributions to Wikipedia would decr ...

Nature Portfolio2021

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 ...

2022

Demonstration of Roteco - the robotic teacher community: An informative, collaborative platform with a unique community ecosystem

Melissa Anne Skweres, Sophia Reyes Mury

Today the digital society in which we live requires the acquisition of new computer-related skills, such as computational thinking or coding skills, as well as cross-curricular skills, such as communication, collaboration and creativity. Preparing and insp ...

ACM2021

Data Management Plans: the Importance of Data Management in the BIG-MAP Project[**]

Nicola Marzari, Giovanni Pizzi, Martin Uhrin

Open access to research data is increasingly important for accelerating research. Grant authorities therefore request detailed plans for how data is managed in the projects they finance. We have recently developed such a plan for the EU H2020 BIG-MAP proje ...

WILEY-V C H VERLAG GMBH2021

A Robotic Teacher Community to Foster the Integration of Educational Robotics in School

Sophia Reyes Mury

The digital society requires the acquisition of skills related to computer sciences like computational thinking or competences in coding. Also transversal competences like communication, collaboration and creativity are increasingly important. Educational ...

Springer, Cham2021

Barriers to the implementation of international agreements on the ground: Climate change and resilience building in the Araucanía Region of Chile

Silvia Hostettler, Nicola Mary Banwell

Implementing disaster risk reduction (DRR), climate change adaptation and mitigation (CCA/M), and sustainable development are key to increasing community resilience to pressing climate change risks. Barriers to grassroots implementation of national and int ...

2020

Discrete choice and machine learning: Thomson and Thompson?

Michel Bierlaire

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

Strain-level diversity drives alternative community types in millimetre-scale granular biofilms

Christof Holliger

Microbial communities are often highly diverse in their composition, both at a coarse-grained taxonomic level, such as genus, and at a highly resolved level, such as strains, within species. This variability can be driven by either extrinsic factors such a ...

NATURE PUBLISHING GROUP2018

Smart School Multimodal Dataset and Challenges

Maria Jesus Rodriguez Triana

As part of a research project aiming to explore the notion of ‘smart school’ (especially for STEM education) in Estonia, we are developing classrooms and schools that incorporate data gathering not only from digital traces, but also physical ones (through ...

CEUR2017

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

Intraspecific trait variability mediates the response of subalpine grassland communities to extreme drought events

Vincent Jung, Thomas Spiegelberger

Climate change is expected to increase the magnitude and the frequency of extreme climatic events such as droughts. Better understanding how plant communities will respond to these droughts is a major challenge. We expect the response to be a shift in func ...

Wiley-Blackwell2014

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

Modeling and Understanding Communities in Online Social Media using Probabilistic Methods

Radu Andrei Negoescu

The amount of multimedia content is on a constant increase, and people interact with each other and with content on a daily basis through social media systems. The goal of this thesis was to model and understand emerging online communities that revolve aro ...

EPFL2011

The Participation Payoff: Challenges and Opportunities for Multimedia Access in Networked Communities

Frédéric Dufaux

Increasingly, multimedia collections are associated with networked communities consisting of interconnected groups of users who create, annotate, share, view, critique and remix collection content. Information arises within networked communities via connec ...

2010

Open source corporate strategy (OSCS) : unveiling the firm's open sources of competitive advantage

Juan Andrei Villarroel Fernandez

This doctoral dissertation defines and sheds light on a nascent phenomenon in management, informally referred to as "crowdsourcing". I term this concept Open Source Corporate Strategy, or OSCS, which borrows insights from the open source innovation literat ...

EPFL2008

Le management des communautés virtuelles : organisation des processus sociotechniques, vers un modèle générique

Olivier Glassey

In the last three decades the management of information technologies has become a major issue in most organizations. In this context, virtual communities (VC), as a means to technologically foster collective social exchanges, are often proposed as viable s ...

EPFL2005