Social, Emotional and Ethical (SEE) Attributes, Which Configures Our Bioinformatics Systems to Activate the Hidden Forces to Shape Human Decisions

Abstract

SEE (Social, Emotional and Ethical) attributes are the driving force behind decision-making, which owes its existence to several pioneers, scientists, researchers and educators who have thought creatively and carefully about education as a way to help present and future generations thrive. The SEE Learning framework is the basis for the SEE attributes. The framework is based on the work of the Social and Emotional Learning (SEL) community, which has shown that developing positive emotional regulation, self-compassion and interpersonal skills improves academic growth and individual well-being during key stages of human development. Traditional ways of thinking and acting are based on basic human values that can be seen through common sense, experience and Science. In everything we do, we should truly want the happiness of everyone we can affect and we should work on having an attitude of compassion for everyone. Making decisions is an important part of most people’s daily lives. Every day, everyone has to decide how to handle a situation. People decide what to do based on their SEE traits. In this chapter, we designed a mathematical model-based structure that shows how SEE attributes help us set up our Bioinformatics systems to bring out our hidden forces so we can make the best decision in an environment with multiple options.