Altruism i.e. an act that one does at their own expense attempting to enhance others well-being is a fundamental human behavior with implications for personal and societal welfare. As a result, understanding altruism is an important building block in designing well-functioning socio-technical systems and attaining the Internet of People vision. Traditional methods for understanding individual’s altruistic propensities have been surveys and lab experiments. In this presentation, we propose a new methodology to model altruism based on phoneotypes (mobile phones observations of a combination of people’s traits) that ultimately aim to replace traditional methods like surveys with a low-cost, quick, and automated method. The data in this work were gathered from a 10-week field study involving 55 participants. We find that: 1- many phone-based features are potentially related to participant’s altruistic propensities; 2- phone-based features and demographics when combined created a prediction model with promising results capable of predicting altruism in a better way than a demography-based model. This study provides an exciting opportunity to advance our knowledge in identifying altruism in numerous settings socially and commercially.