Historica is a project that creates a digital model of human history, which is continuously expanded and refined with the aid of artificial intelligence.
Historica integrates various types of data into a unified ontology, thus revealing humanity's past in its vast temporal and geographical scales, unfathomable complexity, and infinite diversity.
In its outward manifestation to the user, Historica is a dynamic, interactive map that visualizes the global development of civilization from pre-state epochs to the present moment.
Historica is a non-commercial project, evolving in three directions: academic, cultural, and recreational. In an academic context, Historica is a powerful tool for research and education, designed for the broadest use - from school curricula to scientific projects. In a cultural context, Historica is a platform for promoting cultural objects and events by local communities, revealing them to the world in precise detail, from previously inaccessible perspectives, in new contexts. In a recreational context, Historica is a space for games and simulations dedicated to historical events, using an unprecedented wealth of factual material.
Historica's mission is to create and continuously replenish an objective, interdisciplinary, decentralized, and AI-based information model of human history, serving science, education, culture, and entertainment.
Historica follows the principles of interdisciplinarity, decentralization, and reliance on artificial intelligence.
Interdisciplinarity: Historica combines knowledge from history, archaeology, geography, anthropology, computer science, linguistics, cultural studies, philosophy, political science, sociology, and also from emerging fields today. This ensures a comprehensive, scientifically grounded view of historical development.
Decentralization: Historica is open for wide collaboration in various forms from scholars, researchers, AI specialists, and interested enthusiasts. The project aims to create a global non-hierarchical community, each participant of which would contribute freely to the digital footprint of human history.
Reliance on AI: In Historica, artificial intelligence plays a crucial role, processing colossal volumes of data, integrating various fields of scientific knowledge, continuously enriching the digital footprint of history with new facts. This is how disagreements in interpretations, contradictions between fields of scientific knowledge are overcome, and a state-of-the-art picture of the history of civilization is formed.
Serial entrepreneur seasoned in financial services with an emphasis on FX, electronic trading, and blockchain technologies. Holds a DBA from SBS Swiss Business School, leveraging knowledge to inspire entrepreneurship and foster innovation.
Business strategist with 25 years of experience, serving as an independent director in commercial and non-profit organizations. Specializes in blending system engineering and strategic management approaches, as well as applying heuristics in futures research and scenario planning.
20 years of experience in creating and managing products for growing businesses. Expertise in designing value propositions, including information products. Proficiency in market research and customer development.
SEO Specialist and Content Coordinator with a Master's Degree in Digital Marketing, graduating with honours. Proven ability to drive organic traffic, improve content, and build brands' online reputation through website optimisation and digital PR.
6+ years of experience helping to build startups from 0 to 1, from pre-seed round to Series B. Worked with companies in fields such as Non-profits, KYC, E-commerce, healthcare, and mental health. User-centric design oriented, data-driven approach evangelist.
Experienced Social Media Manager and PR specialist with 5+ years, skilled in building brands and communities through engaging content for social media channels and blogs.
Angus Russell is a Research Fellow at King’s College, Cambridge, where he works as part of the Silk Roads Programme. His PhD thesis explored the evolution of fiscal models in the regions of Eurasia conquered by the Mongol khans; more broadly, he is interested global and transnational trajectories of historical change, and through his work with Historica is looking forward to exploring how these currents interact with AI and machine learning.