Today we can find different critical systems in different fields such as health, military, space, security, etc., where the lives and economy of many people are in danger due to the consequences that may arise from a failure in these systems. For this reason, it is essential to identify, analyze and treat the risks related to critical systems projects and typical risk management processes. In this article, we show and explore different techniques and models applied in different environments, such as medicine and the military field, recognizing concepts and similarities in critical systems and risk management. Finally, determining that there are no defined methodologies for risk management in these systems, in many cases necessary to apply hybrid and dynamic options.

Today there are many signs of depression, as well as many suicide attempts caused by this emotional disorder, and this is reflected mostly on social networks, mainly on Twitter. For this reason, it is important for specialists and organizations seeking to safeguard people's lives to use software tools to address this problem. For this, in this work a web tool called "UBDevs-Depression-Classifier" is proposed,  that allows you to automatically obtain and classify tweets for a specific topic. A greater emphasis was placed on tweets related to COVID-19in the years 2020-2021 the world experienced a pandemic that increased cases of depression in many places. This research proposal focuses on the use of a model based on NLP (Natural Language Processing) for the classification of Tweets in order to find those that incite depression or imply that users are in a bad mood, all this in order t...