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We managed to construct two novel and functional methodologies to depict the evolution of energy efficiency improvements (EEI) in two Swiss sectors, housing and cement. This allowed us to obtain a better representation of EEI triggered by energy and climat ...
This chapter sheds light on the paradox between the general perception of climate change related problems and resistance to measures addressing it, namely the support of renewable energy policies at the ballot box. Using conjoint analyses, we investigate t ...
Digital contact tracing is a relevant tool to control infectious disease outbreaks, including the COVID-19 epidemic. Early work evaluating digital contact tracing omitted important features and heterogeneities of real-world contact patterns influencing con ...
We consider a learning system based on the conventional multiplicative weight ( MW) rule that combines experts' advice to predict a sequence of true outcomes. It is assumed that one of the experts is malicious and aims to impose the maximum loss on the sys ...
Improving risk assessment and conducting thorough cost-benefit analyses of the different proposed management options are of paramount importance to making informed decisions. However, getting a comprehensive picture of a complex, ambiguous and uncertain ri ...
Measuring the sensitivity of housing demand to mortgage rates and available leverage is challenging because there is generally no exogenous variation in these variables. This paper circumvents this issue by designing a strategic survey in which respondents ...
Emerging and existing infectious diseases pose a constant threat to individuals and communities across the world. In many cases, the burden of these diseases is preventable through public health interventions. However, taking the right decisions and design ...
This presentation aims to discuss the transnational activity and discourse behind the programmatic shift in spatial production and layout of workers’ housing in Turkey from the state-financed model of the interwar period to the assisted self-help model by ...
This paper presents an adaptive combination strategy for distributed learning over diffusion networks. Since learning relies on the collaborative processing of the stochastic information at the dispersed agents, the overall performance can be improved by d ...
This IRGC policy brief focuses on the risks associated with the transition to a low-carbon society and economy. It is based on a multi-stakeholder expert workshop held in September 2020. It incorporates views and insights from academia, industry, non-gover ...
