Does historical data still count? Exploring the applicability of smart building applications in the post-pandemic period.

The emergence of COVID-19 pandemic is causing tremendous impact on our daily lives, including the way people interact with buildings. Leveraging the advances in machine learning and other supporting digital technologies, recent attempts have been sought to establish exciting smart building applications that facilitates better facility management and higher energy efficiency. However, relying on the historical data collected prior to the pandemic, the resulting smart building applications are not necessarily effective under the current ever-changing situation due to the drifts of data distribution. This paper investigates the bidirectional interaction between human and buildings that leads to dramatic change of building performance data distributions post-pandemic, and evaluates the applicability of typical facility management and energy management applications against these changes. According to the evaluation, this paper recommends three mitigation measures to rescue the applications and embedded machine learning algorithms from the data inconsistency issue in the post-pandemic era. Among these measures, incorporating occupancy and behavioural parameters as independent variables in machine learning algorithms is highlighted. Taking a Bayesian perspective, the value of data is exploited, historical or recent, pre- and post-pandemic, under a people-focused view.

RESPONSE TO THE CRISIS GENERATED BY THE COVID-19 PANDEMIC IN TOURISM. FROM THE GLOBAL TO THE LOCAL: CIUDAD JUAREZ (MEXICO)

Changes as a consequence of the crisis generated by the COVID-19 are causing a critical problem at the global level. Therefore, the aim of this research is to promote knowledge about the current crisis in tourism and provide tools and strategies that facilitate the search for answers and recovery-oriented options. This is a qualitative, exploratory and propositional research study based on which, empirical and theoretical methods were used;the main source for obtaining primary data was interviews, and secondary data was obtained through documentary research. As a result of this study, a conceptual theoretical framework for understanding crisis in tourism is recommended, and a conceptual model for the management of this crisis in tourism is proposed, based on a process that integrates risks and crises. Finally, a methodological management scheme to implement in Juarez City is suggested. It concludes by highlighting the value of research, education and the culture of preparedness to face these pandemics.