DeepTech research with long horizons.
The Statutes define DeepTech as technologies based on significant scientific research and advanced engineering solutions, including artificial intelligence, quantum computing, genomics and robotics, generally characterised by extended research and development cycles. The Consortium’s scientific objective (Art. 7.2) is to promote and facilitate both fundamental and applied research in these fields.
Focus areas
Four fields named in the Statutes.
Artificial intelligence
Machine learning, Big Data, AI systems design; also the subject of the Consortium’s Batumi meetup and the book “Artificial Alchemy”.
Quantum computing
Quantum information processing and the engineering stacks that make it usable.
Genomics
Genetic research, biomedical technologies and digital health within the Health Sciences track.
Robotics
Advanced engineering, materials, additive manufacturing and autonomous systems.
Research pipeline
From discovery to a company.
DeepTech's defining feature is the length of the cycle between a scientific result and a working product. The Consortium exists to carry work across that gap by pooling laboratories, data, industry partners and a route to commercialisation.
PHASE 1
Fundamental research
Member institutes and research networks (Art. 14.1)
PHASE 2
Applied research
Industry partners pose problems with long R&D cycles
PHASE 3
Engineering solution
Prototypes, standards, intellectual property (Block C)
PHASE 4
Spin‑off
Commercialisation under a founder‑friendly IP policy (Art. 27.4)
Statutes · Articles 14 & 23
Research institutes and the Council.
The Consortium may establish or support a network of scientific organizations for conducting research, fostering innovation and promoting collaboration with industry. The Scientific and Technological Council, composed of representatives of member institutions, partner organizations and relevant experts, advises on aligning the Consortium's activities with developments in research, technology and industry trends.
Ethics & standards · Art. 7.4
Guidelines, not gatekeeping.
The normative objective is to develop, recommend and disseminate international standards and guidelines for education quality, research ethics and professional qualifications. In the ISTC system this is made concrete by Principle 2.12: criteria, rubrics and methodologies are never proprietary or hidden, are developed on open‑source principles and are subject to continuous peer review.
Publications
Published, peer‑reviewed, open access.
Research from the network is published through the Head Organization's open‑access journal, the International Journal of Interdisciplinary Research on Health, Society, and Technology (IJIRHST, E‑ISSN 3072‑4805). Publications count in Block C of the ISTC system.
Scientific publications
Scientists in the network
“Artificial Alchemy: Between Engineering and Psychology”
Scientific book by authors from Poland, Türkiye and Switzerland, published in English by Tsigni+Eri (Tbilisi) and presented in Batumi, 22 July 2026.