Concept

Knowledge society

Related publications (47)

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

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

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

Modeling exploration strategies to predict student performance within a learning environment and beyond

Modeling and predicting student learning is an important task in computer-based education. A large body of work has focused on representing and predicting student knowledge accurately. Existing techniques are mostly based on students' performance and on ti ...

ACM2017

(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

How do participation of practice partners and societal impacts interrelate? Perspectives from sci- ence and practice actors in transdisciplinary sustainability research projects

Claudia Rebeca Binder Signer, Livia Bianca Fritz, Thorsten Schilling

In this contribution, we put the spotlight on the interlinkages between participatory knowledge production and sustainabili ty transformations by proposing an empirical enquiry into transdisciplinary (TD) research projects. With regard to (un)sustainab le ...

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

Knowledge Transfers through Diaspora Transnationalism and Return Migration: A Case Study of Indian Skilled Migrants

Gabriela Tejada Guerrero

The chapter is based on new empirical data collected through primary surveys and in-depth interviews with Indian skilled migrants in Europe and with returnees in India. The study found that Indian skilled professionals, scientists and students are contribu ...

Springer2016

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

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

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