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Concept

Communauté en ligne

Publications associées (26)

Transferring interactive activities in large lectures from face-to-face to online settings

Pierre Dillenbourg, Jennifer Kaitlyn Olsen, Louis Pierre Faucon

Purpose Within higher education, there was an abrupt shift from face-to-face to online lecturing with the introduction of social distancing measures in light of a global pandemic. The purpose of this study is to enrich the connection between students and i ...

EMERALD GROUP PUBLISHING LTD2020

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

Unfolding the prospects of computational (bio)materials modeling

Ignacio Pagonabarraga Mora

In this perspective communication, we briefly sketch the current state of computational (bio)material research and discuss possible solutions for the four challenges that have been increasingly identified within this community: (i) the desire to develop a ...

AMER INST PHYSICS2020

Optimised biomolecular extraction for metagenomic analysis of microbial biofilms from high-mountain streams

Tom Ian Battin, Hannes Markus Peter, Susheel Bhanu Busi, Jade Brandani, Paraskevi Pramateftaki, Stylianos Fodelianakis

Glacier-fed streams (GFS) are harsh ecosystems dominated by microbial life organized in benthic biofilms, yet the biodiversity and ecosystem functions provided by these communities remain under-appreciated. To better understand the microbial processes and ...

PEERJ INC2020

PPML '19: Privacy Preserving Machine Learning

Carmela González Troncoso

The area of privacy preserving machine learning has been of growing importance in practice, which has lead to an increased interest in this topic in both academia and industry. We have witnessed this through numerous papers and systems published and develo ...

ACM2019

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