A research and policy institution focused on building trustworthy digital-economy infrastructure.
Institutional focus
To strengthen the digital economy through trustworthy data systems, reproducible computational research, responsible AI, expert communities, and evidence-based policy infrastructure.
A digital economy where researchers, governments, and institutions rely on transparent, verifiable, and reusable knowledge systems instead of opaque or non-reproducible analytical processes.
Founder story
The idea behind the Institute of Digital Economy was strongly shaped during Hovhannes Adajyan's visit to Washington, DC through the Professional Fellowship Program. Exposure to the United States technology-policy environment showed how research institutions, government, business, and expert communities can work together to connect technology with practical public problems.
Engagement with the Information Technology and Innovation Foundation strengthened the institutional inspiration behind the project. It demonstrated the value of clear policy research, evidence-based analysis, and public-facing technology expertise. This experience encouraged the creation of an Armenian tech-related think tank focused on real-life issues rather than technology for its own sake.
The Institute of Digital Economy aims to connect technological solutions with challenges in agriculture, healthcare, environment, and jurisprudence. Its purpose is to support practical research, expert communities, publications, and digital tools that help policymakers, professionals, and institutions find responsible and useful technology-based solutions.
The digital economy increasingly depends on computational research, AI systems, public data, and institutional platforms. The institute exists to make these systems more transparent, reproducible, and useful for policy and research.
Institute of Digital Economy is publication-oriented and infrastructure-focused. It does not present AI as a generic product, but as part of a broader evidence system requiring provenance, governance, expert review, and public value.
The institute focuses on digital economy, Web4 infrastructure, transparent computational research, reproducible science, research integrity, data provenance, responsible AI, open-source governance, and expert communities.
The institute emphasizes careful claims, transparent workflows, human accountability, open-source logic, expert validation, and responsible treatment of sensitive data.
Communities support domain-specific validation across agriculture, healthcare, environment, jurisprudence, and AI & blockchain governance.
Discovery Vaults provide a future pathway for documenting research ideas, datasets, technical observations, invention concepts, and IP-review candidates.
AI tools support human experts and do not replace human judgment. Medical, legal, environmental, agricultural, AI, and blockchain discussions require appropriate expert review.