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Technology & Transformation

Investigating the systemic implications of emerging technologies — including artificial intelligence, distributed ledger systems, and quantum computing — for industrial competitiveness, workforce transformation, and responsible innovation governance.

Our Mission

Governing Emerging Technologies for Shared Prosperity

The Technology & Transformation Working Group convenes technologists, computer scientists, innovation economists, and strategic foresight experts to investigate the systemic implications of emerging technologies. Our work spans artificial intelligence, distributed ledger systems, quantum computing, and digital infrastructure — examining how these technologies reshape industrial competitiveness, workforce dynamics, and the boundaries of responsible innovation.

From the concentration risks in semiconductor supply chains to the coordination challenges of post-quantum cryptographic migration, the technology landscape presents governance challenges that transcend any single discipline or jurisdiction. This working group provides the technical depth and strategic perspective needed to understand these dynamics — producing research that bridges computer science, economics, and public policy.

Research Priorities

Current Research Agenda

Our research programme investigates the systemic implications of emerging technologies for industrial competitiveness, security, and sustainable development.

01

AI Safety & Open-Source Governance

Analysing open-source foundation models as the digital age's most consequential public goods experiment — examining the free-rider problem in AI safety research and governance frameworks for shared AI infrastructure.

02

Quantum Computing & Cryptographic Transition

Modelling the post-quantum cryptographic transition as an institutional coordination game — quantifying the systemic risk of delayed migration and proposing governance mechanisms to accelerate the $400 trillion infrastructure transition.

03

Semiconductor Supply Chain Resilience

Applying Stackelberg game analysis to the extreme geographic concentration in advanced chipmaking — where the top 3 facilities produce 92% of sub-5nm chips — to map systemic fragility and evaluate policy interventions.

04

Climate Tech & Digital Sustainability

Investigating the paradox of digital decarbonisation — how AI data centres' surging energy demand threatens climate targets — and developing policy mechanisms to align digital transformation with sustainability goals.

Publications

Related Insights

Recent research and analysis from this working group.

Space Economy and Satellite Internet Governance
Research Report February 2026

Space Economy and Satellite Internet Governance

LEO mega-constellations have quadrupled active satellites since 2020. This report analyses orbital congestion, spectrum allocation, and connectivity equity through commons economics and game theory.

Quantum Computing and the Post-Quantum Cryptographic Transition
Policy Brief January 2026

Quantum Computing and the Post-Quantum Cryptographic Transition

The post-quantum cryptographic transition is not primarily a technical challenge but an institutional coordination game — and the current equilibrium of delay is systemically dangerous.

AI Compute and the Stackelberg Structure of Semiconductor Supply Chains
Working Paper January 2026

AI Compute and the Stackelberg Structure of Semiconductor Supply Chains

Advanced semiconductor fabrication exhibits extreme geographic concentration — the top 3 facilities produce 92% of sub-5nm chips. We model this as a Stackelberg game to quantify systemic fragility.

Cybersecurity Collective Action and Critical Infrastructure Protection
Working Paper December 2025

Cybersecurity Collective Action and Critical Infrastructure Protection

With cybercrime costs reaching $10.5 trillion annually, cybersecurity exhibits classic public goods characteristics with free-rider problems that demand institutional solutions.

Supply Chain Resilience and Digital Twins
Research Report December 2025

Supply Chain Resilience and Digital Twins

How digital twin technology and blockchain-based provenance systems can address the information asymmetries and coordination failures underlying supply chain fragility.

Open Source AI and the Innovation Commons
Working Paper December 2025

Open Source AI and the Innovation Commons

Public goods analysis of open-source foundation models, the free-rider problem in AI safety research, and governance frameworks for shared AI infrastructure.

Join This Working Group

We welcome applications from technologists, computer scientists, and innovation specialists with expertise in AI, quantum computing, blockchain, and digital infrastructure governance.

Apply to join