👉 Sexuality computing is an interdisciplinary field that integrates computer science, data science, and human sexuality research to understand, model, and analyze sexual behaviors, preferences, and identities through digital technologies. It leverages data from various sources, including wearable devices, social media, and online platforms, to create comprehensive models of sexual behavior and preferences. By applying machine learning and data analytics, researchers can identify patterns, predict trends, and develop personalized interventions or services that cater to individual sexual needs. This field also addresses ethical considerations, privacy concerns, and the potential for bias in data collection and analysis, aiming to enhance our understanding of human sexuality in a digital age.