Publications associées à Société de la connaissance

Methodology for selecting measurement points that optimize information gain for model updating

Information collected through sensor measurements has the potential to improve knowledge of complex-system behavior, leading to better decisions related to system management. In this situation, and particularly when using digital twins, the quality of sens ...

2023

Atomic scale volume and grain boundary diffusion elucidated by in situ STEM

Johann Michler, Xavier Maeder, Amit Sharma, Laszlo Pethö

Diffusion is one of the most important phenomena studied in science ranging from physics to biology and, in abstract form, even in social sciences. In the field of materials science, diffusion in crystalline solids is of particular interest as it plays a p ...

Nature Portfolio2023

A methodology to design measurement systems when multiple model classes are plausible

Ian Smith, Numa Joy Bertola, Sai Ganesh Sarvotham Pai

The management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Civil infrastructure often has hidden reserve capacity because of conservative approaches used in design and during constructi ...

2021

Organohalide respiration in Firmicutes: energy metabolism and transcription regulation

Mathilde Stéphanie Willemin

Organohalides are a class of compounds often considered as persistent pollutants and harmful to environmental and human health. Some bacteria, among which are representatives from the Firmicutes phylum, are capable of using these compounds as terminal acce ...

EPFL2021

Gamifying knowledge sharing in humanitarian organisations: a design science journey

Denis Gillet, Isabelle Barbara Marie-Hélène Cardia, Samuel Bendahan, Adrian Christian Holzer

Humanitarian organisations provide invaluable work to improve the lives of individuals impacted by natural and anthropogenic hazards. While humanitarian organisations are highly knowledge intensive, they often fail to manage knowledge effectively. Providin ...

2020

Social practices in teacher knowledge creation and innovation adoption: a large-scale study in an online instructional design community for inquiry learning

Denis Gillet, Maria Jesus Rodriguez Triana

Social practices are assumed to play an important role in the evolution of new teaching and learning methods. Teachers internalize knowledge developed in their communities through interactions with peers and experts while solving problems or co-creating ma ...

2020

Measurement-system design for structural identification

Numa Joy Bertola

In developed countries, the management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Due to conservative approaches in construction design and practice, infrastructure often has hidden re ...

EPFL2020

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Ian Smith, Sai Ganesh Sarvotham Pai

Model-based data interpretation has the potential to increase knowledge of structural behavior and support asset management. Models are usually conservative and contain many parameters and sources of systematic uncertainty, which need to be taken into acco ...

AMER SOC CIVIL ENGINEERS2019

Phagocytosis in Drosophila: From molecules and cellular machinery to physiology

Bruno Lemaitre, Claudia Melcarne

Phagocytosis is an evolutionarily conserved mechanism that plays a key role in both host defence and tissue homeostasis in multicellular organisms. A range of surface receptors expressed on different cell types allow discriminating between self and non-sel ...

2019

Addressing the need to monitor concrete fatigue with Non Destructive Testing: results of Infrastar European project

Eugen Brühwiler, Imane Bayane, Antoine Bassil, Xiao Wang

Fatigue is one of the most prevalent issues, which directly influences the service life expectancy of concrete structures. Fatigue has been investigated for years for steel structures. However, recent findings suggest that concrete structures may also be s ...

2018

(De‑)Constructing Participation at the Science‑Policy Interface: A Critical Inquiry

Claudia Rebeca Binder Signer, Livia Bianca Fritz

This contribution puts the spotlight on participation of heterogeneous actors and diverse forms of expertise in knowledge production and its implications for governance of complex problems. With regard to tackling complex ‘global’ problems, multifaceted de ...

2017

Determinants of PhD holders' use of social networking sites: An analysis based on LinkedIn

Stefano Horst Baruffaldi

Social networking sites are an increasingly important tool for career development, especially for highly skilled individuals. Moreover, they may constitute valuable sources of data for scholars and policy makers. However, little research has been conducted ...

Elsevier2017

Enhancing Social Media Platforms for Educational and Humanitarian Knowledge Sharing : Analytics, Privacy, Discovery, and Delivery Aspects

Andrii Vozniuk

Social media (SM) platforms have demonstrated their ability to facilitate knowledge sharing on the global scale. They are increasingly often employed in educational and humanitarian domains where, despite their general benefits, they expose challenges pecu ...

EPFL2017

A Tutorial on Machine Learning in Educational Science

Pierre Dillenbourg, Lukasz Kidzinski

Popularity of massive online open courses (MOOCs) allowed educational researchers to address problems which were not accessible few years ago. Although classical statistical techniques still apply, large datasets allow us to discover deeper patterns and to ...

Springer-Verlag Singapore Pte Ltd2016

Acquiring Broad Commonsense Knowledge for Sentiment Analysis Using Human Computation

Marina Boia

While artificial intelligence is successful in many applications that cover specific domains, for many commonsense problems there is still a large gap with human performance. Automated sentiment analysis is a typical example: while there are techniques tha ...

EPFL2016

Agile in-litero experiments : how can semi-automated information extraction from neuroscientific literature help neuroscience model building?

Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles in peer-reviewed journals. One challenge for modern neuroinformatics is to design methods to make the knowledge from the tremend ...

EPFL2016

Large-scale extraction of brain connectivity from the neuroscientific literature

Jean-Cédric Chappelier, Sean Lewis Hill, Martin Telefont, Renaud Luc Richardet

In neuroscience, as in many other scientific domains, the primary form of knowledge dissemination is through published articles. One challenge for modern neuroinformatics is finding methods to make the knowledge from the tremendous backlog of publications ...

Oxford Univ Press2015

Building Capabilities for Service Innovation : A Multi-Level Perspective on Strategies and Evolution

Andreas Felix von Vangerow

The service sector is the most dominant sector in every developed economy today. The ability to develop and successfully launch new services is crucial for service organizations to stay competitive and to adapt to the ever-changing conditions of the enviro ...

EPFL2015

A tutorial on machine learning in educational science

Pierre Dillenbourg, Lukasz Kidzinski

Popularity of massive online open courses (MOOCs) allowed educational researchers to address problems which were not accessible few years ago. Although classical statistical techniques still apply, large datasets allow us to discover deeper patterns and to ...

2015

Sources and forms of modelling uncertainties for structural identification

Ian Smith, Romain Pasquier

The aim of model-based structural identification is to make sense of monitoring data in order to improve knowledge of the real behaviour of structures. Common use of structural-identification techniques involves an assumption of independent zero-mean Gauss ...

2015