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Concept

Community service

Publications associées (22)

Referencing in YouTube Knowledge Communication Videos

Daniel Gatica-Perez

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

Interspecies interactions determine growth dynamics of biopolymer- degrading populations in microbial communities

Martin Ackermann

Microbial communities perform essential ecosystem functions such as the remineralization of organic carbon that exists as biopolymers. The first step in mineralization is performed by biopolymer degraders, which harbor enzymes that can break down polymers ...

National Academy of Sciences2023

Caching and Neutrality

Aikaterini Argyraki, Pavlos Nikolopoulos, Muhammad Abdullah

We are used to defining network neutrality as absence of traffic differentiation, like policing or shaping. These mechanisms, however, are often not what determines end-users’ quality of experience (QoE). Most content today is accessed through edge caches, ...

ACM Association for Computing Machinery2023

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

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

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

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

Quantitative modeling of human metabolism: A call for a community effort

Vassily Hatzimanikatis, Maria Masid Barcon

Metabolism is the process by which cells and organisms obtain nutrients and energy to perform their functions. In the last years, many human diseases, including cancer, diabetes, and cardiac diseases, have been associated with altered metabolism. Understan ...

2021

A kernel‐based change detection method to map shifts in phytoplankton communities measured by flow cytometry

Automated, ship-board flow cytometers provide high-resolution maps of phytoplankton composition over large swaths of the world's oceans. They therefore pave the way for understanding how environmental conditions shape community structure. Identification of ...

2021

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

On the Design of a Youth-Led, Issue-Based, Crowdsourced Global Monitoring Framework for the SDGs

Sharada Prasanna Mohanty

In this paper, we propose a novel methodology and design to contribute towards the achievement of the 17 Sustainable Development Goals (SDGs) adopted by member states of the United Nations for a better and more sustainable future for all. We particularly f ...

2019

On the probabilistic nature of the species-area relation

Andrea Rinaldo, Amos Maritan, Andrea Giometto, Jonathan Giezendanner, Silvia Zaoli

The Species-Area Relation (SAR), which describes the increase in the number of species S with increasing area A, is under intense scrutiny in contemporary ecology, in particular to probe its reliability in predicting the number of species going extinct as ...

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

SenseCityVity: Mobile Crowdsourcing, Urban Awareness, and Collective Action in Mexico

Daniel Gatica-Perez, Darshan Santani

This work describes SenseCityVity, an approach to engage and support youth in a city in Mexico as they investigate, document, and reflect upon urban problems through mobile crowdsourcing. SenseCityVity focused on the development of a mobile crowdsourcing p ...

Ieee Computer Soc2017

BigNeuron: Large-Scale 3D Neuron Reconstruction from Optical Microscopy Images

Sean Lewis Hill

Understanding the structure of single neurons is critical for understanding how they function within neural circuits. BigNeuron is a new community effort that combines modern bioimaging informatics, recent leaps in labeling and microscopy, and the widely r ...

Elsevier2015

Representing the Digital Humanities Community: Unveiling The Social Network Visualization of an International Conference

Dario Rodighiero

This paper deals with the sense of represent- ing both a new domain as Digital Humanities and its community. Based on a case study, where a set of visualizations was used to represent the community attending the international Digital Humanities conference ...

2015

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

A community effort towards a knowledge-base and mathematical model of the human pathogen Salmonella Typhimurium LT2

Muhittin Emre Özdemir

Background: Metabolic reconstructions (MRs) are common denominators in systems biology and represent biochemical, genetic, and genomic (BiGG) knowledge-bases for target organisms by capturing currently available information in a consistent, structured mann ...

2011