Identity design for Socius, an AI startup in social ccience
Overview:
Socius is an artifical intelligence startup whose mission is to advance social science research by utilising Artificial Intelligence technologies, creating cutting-edge, publicly accessible models deeply grounded in social science principles.
The goal is to empower social scientists with AI tools that enable unprecedented discoveries, insights into human behaviour, and informed, evidence-based decision-making.
The initiative seeks to revolutionise the study of society by combining the latest AI research with the expertise of social scientists, fostering a transformative partnership between the two fields.
Collaborator:
Thomas Bugg: Concept development, Identity design, Web design, Web development
Role:
Concept development, Identity design, Web design, Graphic design, Motion graphics
Socius aims to create the world's most comprehensive causal map. Our concept effectively communicates the intrinsic interconnectivity at the heart of both Socius and causality (the relationship between cause and effect) through a simple, yet powerful, design system inspired by the idea of connecting the dots.
Socius faced a challenge of standing out in the current hype of the tech/AI market. To ensure Socius stood out and thrived, we crafted a solution that communicated an aura of sophistication, coolness, and a touch of playfulness.
The colour green is located in the centre of the visual spectrum and is the easiest for humans to see because our perception is strongest in this range, while blue is often considered one of the most popular and universally liked colours, and is widely recognised and significant in many cultures.
We chose these two colours as a perfect tribute to social science and the study of human society and behaviour, reflecting their deep cultural and scientific significance.
We developed a system uses a set of five shapes to generate patterns on a square cell grid. These shapes can be utilised to create both random and organised patterns. The duality in outcomes mirrors the process of finding patterns in areas of interest.