Research
Programmes are proposed by the branches, agreed at the annual convening, and carried by whichever teams are best placed to lead them. Below sits the full digital project record, including the work that stopped in July 2026.
Programme 01
Hydrological systems, glacial and permafrost change, drought and land-cover transition, treated as measurable environmental systems rather than as a single climate narrative.
Carried by: XJASS · TBASS · LDASS
Programme 02
Import dependence, storage, interconnection and electrification measured as network properties, with exposure separated from resilience.
Carried by: XJASS · TBASS · LDASS
Programme 03
Deposits, processing capacity, commodity specialisation and supply-chain concentration, from extraction through to the terms on which output is sold.
Carried by: XJASS · LDASS
Programme 04
Border facilities, rail and road corridors, customs throughput and aviation, distinguishing physical connectivity from realised movement.
Carried by: XJASS · TBASS · LDASS
Programme 05
Semiconductors, accelerators, foundation models and agentic systems examined both as research instruments and as objects of regulation.
Carried by: XJASS · TBASS · LDASS
Programme 06
Low-resource language coverage, multilingual public information, and what cultural material becomes computationally visible once it is digitised.
Carried by: XJASS · TBASS · LDASS
Programme 07
Population concentration, built-up expansion, schools, clinics and service reach across regions where distance is the dominant constraint.
Carried by: XJASS · TBASS · LDASS
Programme 08
US, UK and European institutional language kept as separate source families, so that changes in representation are never mistaken for changes in material conditions.
Carried by: XJASS · TBASS · LDASS
Register
Completed, suspended and archived work across the three branches.
4 researches in the London and Europe strand, 2023–2025. Representative lines of enquiry: European Defence Industrial Capacity; Defence Industrial Scaling in Europe; European Economic Security as a Policy Network.
38 researches in the Tibetan plateau strand, 2021–2026. Representative lines of enquiry: Tibetan Plateau Water Systems; Pastoral Livelihoods and Environmental Variability in Tibet; Glaciers, Permafrost and Settlement.
80 researches in the Eurasian interior strand, 2016–2026. Representative lines of enquiry: Labour Mobility and Industrial Change in Xinjiang; Oasis Agriculture Under Pressure; Oasis Cities and Heat Exposure.
4 researches in the London and Europe strand, 2023–2026. Representative lines of enquiry: European Energy Security in 2023; European Grid Resilience in the Electrification Era; Synthetic Data for Public-Sector AI.
2 researches in the Tibetan plateau strand, 2021–2022. Representative lines of enquiry: Solar Potential at High Altitude; Solar, Hydro and Grid Distance.
11 researches in the Eurasian interior strand, 2017–2025. Representative lines of enquiry: Renewable Energy Siting in Xinjiang; Power Lines Across Distance; Winter Freight Energy Demand.
2 researches in the London and Europe strand, 2023–2024. Representative lines of enquiry: Critical Minerals and European Vulnerability; Red Sea Disruption and European Supply Chains.
5 researches in the Eurasian interior strand, 2016–2020. Representative lines of enquiry: Xinjiang's Mineral Economy; Central Asia Through Xinjiang; Freight Composition at the Border.
5 researches in the London and Europe strand, 2023–2025. Representative lines of enquiry: European Migration Governance as a Network; GraphRAG for European Economic Security; European Elections as an Information Network.
15 researches in the Tibetan plateau strand, 2021–2026. Representative lines of enquiry: The Plateau's Roads; Digital Tibet; Migration, Settlement and Services on the Tibetan Plateau.
48 researches in the Eurasian interior strand, 2016–2025. Representative lines of enquiry: Border Economies of Xinjiang; The Price of Distance; Tourism and Cultural Geography in Xinjiang.
52 researches in the London and Europe strand, 2023–2026. Representative lines of enquiry: European Artificial Intelligence Governance Before the Foundation-Model Explosion; Europe's Semiconductor Exposure; AI Compute as Strategic Infrastructure.
34 researches in the Tibetan plateau strand, 2021–2026. Representative lines of enquiry: Tibetan-Language Digital Resources; Low-Resource Speech Technology for Tibetan; Foundation Models for Tibetan Text? Benchmarking Prompting Against Fine-Tuned Multilingual Encoders.
30 researches in the Eurasian interior strand, 2018–2026. Representative lines of enquiry: Contextual Language Models Arrive; Dynamic Topic Models Meet Transformers; Zero-Shot Frame Transfer Across Institutions.
2 researches in the London and Europe strand, 2024–2025. Representative lines of enquiry: The Transatlantic China Policy Triangle; Multimodal Policy Intelligence From Meetings.
22 researches in the Tibetan plateau strand, 2021–2025. Representative lines of enquiry: Tibetan Cultural Heritage in the Digital Archive; Tibet, Religion and International Policy Language; Tibetan Text in a Multilingual Transformer Era.
22 researches in the Eurasian interior strand, 2016–2024. Representative lines of enquiry: Languages in the Public Information Environment; Security, Development and Connectivity; Before BERT Became the Default.
1 researches in the London and Europe strand, 2023–2023. Representative lines of enquiry: London as a European Strategic Node After Brexit.
4 researches in the Tibetan plateau strand, 2021–2022. Representative lines of enquiry: Night-Time Lights and Local Economic Activity; Urban Expansion at Altitude; Tibetan Education Access by Terrain.
15 researches in the Eurasian interior strand, 2016–2024. Representative lines of enquiry: Xinjiang's Urban Transformation; Education and Human Capital in Xinjiang; Mobile Connectivity and Market Reach.
14 researches in the London and Europe strand, 2023–2025. Representative lines of enquiry: The European Information Divide; European Strategic Autonomy and Defence Procurement; Europe’s Economic Security Vocabulary.
13 researches in the Tibetan plateau strand, 2021–2026. Representative lines of enquiry: Plateau Lakes in Transition; Earth Observation of Pasture Fragmentation; Tibet in Transatlantic Policy Networks.
37 researches in the Eurasian interior strand, 2016–2026. Representative lines of enquiry: From News Frames to Strategic Vocabulary; Whose Xinjiang? Comparing American, British and European Think-Tank Frames Before the Late-2010s Shift; Development, Rights and Security.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Joint net assessment drawing the three branch records into a single comparative frame, with method notes published alongside each release.
Lithium, borate and geothermal provinces assessed against transport cost, processing capacity and offtake terms.
A standing measurement series maintained under the programme, with instrument notes and provenance recorded for every observation.
A standing measurement series maintained under the programme, with instrument notes and provenance recorded for every observation.
A standing measurement series maintained under the programme, with instrument notes and provenance recorded for every observation.
A standing measurement series maintained under the programme, with instrument notes and provenance recorded for every observation.
A standing measurement series maintained under the programme, with instrument notes and provenance recorded for every observation.
A standing measurement series maintained under the programme, with instrument notes and provenance recorded for every observation.
The strategic contest surrounding China is increasingly extending from physical supply chains into the architecture of knowledge itself. Universities, laboratories, artificial-intelligence companies, venture-capital networks and multinational research collaborations simultaneously generate economic value and create pathways through which advanced technologies can circulate internationally. By late September 2026, this tension has become particularly consequential for London: the United Kingdom seeks to preserve an internationally connected scientific ecosystem while developing stronger mechanisms for identifying foreign-state risks, protecting dual-use research and maintaining interoperability with European and American technology-security frameworks. This article investigates whether a new “secure knowledge state” is emerging in Europe: a governance model in which research openness is increasingly mediated by computational assessments of institutional relationships, technological sensitivity and downstream application risk. The question is especially timely because the European Commission updated its dual-use control list on 14 September 2026 to incorporate controls covering additional technologies. In Britain, contemporary research-security analysis similarly emphasizes the difficulty of protecting strategically sensitive science without undermining the international collaboration on which British research strength depends. A September 2026 Chatham House study argues that the UK’s position also depends increasingly upon deeper integration with European science, technology and defence-industrial networks. The article consequently treats London not simply as a geographic research centre but as an information-processing junction connecting British universities, European institutions, American technology-security priorities, international finance and China-related expertise. It examines how policymakers could distinguish ordinary academic collaboration from relationships warranting additional scrutiny without allowing automated systems to substitute nationality, ethnicity or political assumptions for evidence.
Method notes are released to subscribers.
By September 2026, European economic security has moved beyond the relatively simple language of “de-risking” that characterized the first half of the decade. The central strategic problem is increasingly one of dependency visibility: European governments can identify politically sensitive suppliers and headline trade concentrations, but they possess a less complete picture of the second-, third-, and fourth-order dependencies connecting Chinese industrial capacity to European manufacturing, energy transition infrastructure, artificial intelligence, defence production and advanced research. This article develops a machine-learning-assisted framework for reconstructing those hidden dependency networks and evaluates their significance for the United Kingdom, European Union and wider transatlantic economic-security architecture. The study situates the September 2026 European debate within three simultaneous developments: increasingly interventionist European industrial policy; continuing attempts to diversify critical-material and technology supply chains; and the emergence of economic security as an increasingly important component of Western strategic competition with China. The EU continues officially to characterize its China strategy as de-risking rather than decoupling, while identifying Chinese export controls, industrial subsidies and supply-chain dependencies as important economic-security concerns. September developments sharpen this problem. European strategic critical-mineral projects have reported financing and implementation difficulties even as policymakers seek to reduce Chinese dependencies, while the proposed Industrial Accelerator Act would use procurement and local-content mechanisms to strengthen European production in strategically important sectors. Rather than measuring dependency through bilateral trade statistics alone, the article conceptualizes Europe as a multilayer industrial graph connecting mines, refiners, component manufacturers, logistics nodes, patents, corporate ownership, research partnerships and final manufacturers. It asks which apparently European supply chains remain indirectly dependent upon Chinese processing, intermediate components, intellectual property or production capacity after first-tier suppliers are removed from analysis.
Method notes are released to subscribers.
The machine-mediated transatlantic order is contested in Europe less through raw capability than through the institutions, rules and published positions that different capitals bring to it. The study measures strategic convergence after agentic AI using six classes of evidence — matched US, UK and EU public strategy corpora, agent-generated analyses, source-ablation runs, citation graphs, frame labels and human comparative assessments — assembled for 2026 and linked throughout to collection date and source. Analysis uses counterfactual institution-specialist agent ensembles with source swaps, narrative-distance metrics, citation-graph analysis, disagreement preservation and expert comparative adjudication; holdouts follow the geographic, temporal or institutional structure of the evidence so that performance is not inflated by leakage. Legal obligations, political framing and material conditions are coded independently, since they frequently move on different timetables. Disagreement between specifications is preserved instead of resolved, as it marks the boundary of what the evidence can currently support. The output is an August 2026 reference point for the machine-mediated transatlantic order, defined tightly enough that subsequent periods can be compared against it.
Method notes are released to subscribers.
By August 2026, agentic compliance after the AI Act had become a recurring point of divergence between London, Brussels and Washington, each working from different legal instruments and strategic assumptions. This research audits autonomous systems against applicable European obligations across a purpose-built evidence base covering 2026: applicable AI governance texts, bounded agent workflows, action logs, risk categories, obligation mappings, evidence citations and expert audit labels. The modelling strategy is compliance-auditor agents with retrieval-grounded legal memory, action-trace inspection, obligation-to-event mapping, adversarial workflow tests and expert legal-policy review, checked against simpler baselines to confirm that the added complexity earns its place. Representation is held as a separate analytical layer: US, UK and EU positions are compared as distinct institutional voices rather than averaged into a single Western view. Residuals are treated as evidence: the cases the model misses tend to mark infrastructure openings, regulatory changes or reporting shifts that the covariates do not contain. Taken together, the study provides a bounded August 2026 account of agentic compliance after the AI Act and an evidence architecture that later batches can reuse.
Method notes are released to subscribers.
World models for strategic infrastructure resilience is documented in Europe mainly through texts — legislation, guidance, parliamentary record and official commentary — which makes provenance as important as content. Working from 2020–2026, the study tests European counterfactuals with explicit uncertainty through an evidence base combining energy, transport, digital and logistics networks, disruptions, weather, demand, interventions, geospatial layers and uncertainty annotations. Estimation relies on uncertainty-aware graph world model with multimodal network states, intervention rollouts, conformal scenario intervals, historical backtesting and causal-assumption logging, with results reported alongside their uncertainty rather than as point claims. What an institution says is recorded separately from what can be measured, so that shifts in framing can be dated against shifts in observable conditions. Systematic error is reported rather than smoothed away, because clustered residuals usually point to an omitted institutional or infrastructural factor. The result is a reproducible July 2026 baseline for world models for strategic infrastructure resilience that later work can extend without re-specifying the evidence base.
Method notes are released to subscribers.
Debate over policy agents with institutional identity in the United Kingdom and the European Union moves faster than the evidence base behind it, which is why a dated, source-controlled record is useful. The article examines preserving London, Brussels and Washington context in shared workflows, drawing on matched UK, EU and US public policy corpora, institution-specific retrieval stores, collaborative tasks, message logs, citations and expert frame annotations for 2026 and recording provenance and missingness for each variable. The estimator is identity-conditioned multi-agent collaboration with isolated retrieval indexes, structured message passing, source-boundary enforcement, context-fidelity scoring and expert adjudication, with validation structured around the way the data are actually generated rather than random splitting. Legal obligations, political framing and material conditions are coded independently, since they frequently move on different timetables. Where the model fails, the failure is documented and located, since patterned error is often the most informative output of the exercise. Predictive performance is not treated as causal proof; the contribution is a dated, documented July 2026 benchmark for policy agents with institutional identity.
Method notes are released to subscribers.
Closing the longitudinal loop sits at the centre of how Xinjiang's interior economy is organised, linking resource endowment, infrastructure and settlement in ways that no single indicator captures. The study models a machine-learning observatory of Xinjiang evidence and western strategic representation, 2023-2026 using six classes of evidence — harmonized metadata and derived indicators from the series' public-source policy, environmental, infrastructure and economic dataset specifications, model-era records, institution-separated frames, provenance graphs and uncertainty annotations — assembled for 2023–2026 and linked throughout to collection date and source. Analysis uses longitudinal ensemble observatory combining temporal embeddings, institution-separated frame models, evidence graphs, change-point detection, model-era metadata and hierarchical uncertainty decomposition; no single generative summary is treated as ground truth; holdouts follow the geographic, temporal or institutional structure of the evidence so that performance is not inflated by leakage. Because investment and endowment often move together in Xinjiang, the design keeps physical conditions and policy-driven activity as separate inputs rather than merging them into one development score. Disagreement between specifications is preserved instead of resolved, as it marks the boundary of what the evidence can currently support. The output is a June 2026 reference point for closing the longitudinal loop, defined tightly enough that subsequent periods can be compared against it.
Method notes are released to subscribers.
By June 2026, end-to-end provenance guarantees for Xinjiang deep research had become one of the clearest expressions of how investment, terrain and administrative geography interact across Xinjiang. This research examines from query to final claim across a purpose-built evidence base covering 2024–2026: bounded research questions, versioned public source universe, tool calls, calculations, claim DAGs, citations, injected failures and auditor decisions. The modelling strategy is provenance-first research architecture with immutable evidence IDs, typed tool calls, claim-evidence DAGs, citation entailment, deterministic calculation replay, failure injection and independent audit, checked against simpler baselines to confirm that the added complexity earns its place. The analysis distinguishes what the terrain and resource base make possible from what infrastructure and administrative decisions have actually delivered. Residuals are treated as evidence: the cases the model misses tend to mark infrastructure openings, regulatory changes or reporting shifts that the covariates do not contain. Taken together, the study provides a bounded June 2026 account of end-to-end provenance guarantees for Xinjiang deep research and an evidence architecture that later batches can reuse.
Method notes are released to subscribers.
By June 2026, strategic representation with provenance guarantees had become measurable in Tibet largely through remote sensing and administrative records rather than dense ground observation. Working from 2023–2026, the study audits US, UK and EU Tibet synthesis at the end of the series through an evidence base combining matched US, UK and EU public policy corpora, separate Chinese/Tibetan comparison sources, immutable provenance records, agent syntheses, challenge logs, citations and expert frame labels. Estimation relies on institution-specialist agents with immutable source provenance, claim-evidence graphs, cross-agent challenge rounds, disagreement-preservation scoring, citation verification and expert comparative adjudication, with results reported alongside their uncertainty rather than as point claims. Sparse and uneven observation is modelled explicitly, because in Tibet the absence of a measurement is frequently informative about access rather than about the phenomenon. Systematic error is reported rather than smoothed away, because clustered residuals usually point to an omitted institutional or infrastructural factor. The result is a reproducible June 2026 baseline for strategic representation with provenance guarantees that later work can extend without re-specifying the evidence base.
Method notes are released to subscribers.
Studying reproducible deep research for Tibetan studies in Tibet means working with sparse observation, extreme terrain and strong seasonality at the same time. The article examines can independent agents reconstruct the same evidence trail?, drawing on bounded research questions, versioned multilingual source pools, repeated agent runs, tool logs, evidence sets, claims, citations and reproducibility metrics for 2026 and recording provenance and missingness for each variable. The estimator is replicated deep-research agents with fixed tool permissions, stochastic-run comparison, evidence-set overlap, claim consistency, citation reproducibility and expert adjudication, with validation structured around the way the data are actually generated rather than random splitting. Elevation, slope and seasonality are treated as structural constraints rather than controls, since on the plateau they set the limits within which everything else varies. Where the model fails, the failure is documented and located, since patterned error is often the most informative output of the exercise. Predictive performance is not treated as causal proof; the contribution is a dated, documented June 2026 benchmark for reproducible deep research for Tibetan studies.
Method notes are released to subscribers.
Transatlantic strategy after agentic AI is contested in Europe less through raw capability than through the institutions, rules and published positions that different capitals bring to it. The study audits machine-mediated convergence and divergence using six classes of evidence — matched US, UK and EU public strategy corpora, agent analyses, source-ablation runs, citations, frame annotations and human comparative assessments — assembled for 2026 and linked throughout to collection date and source. Analysis uses institution-specialist research agents with isolated retrieval, counterfactual source swaps, narrative-distance metrics, citation-fidelity checks and expert frame adjudication; holdouts follow the geographic, temporal or institutional structure of the evidence so that performance is not inflated by leakage. What an institution says is recorded separately from what can be measured, so that shifts in framing can be dated against shifts in observable conditions. Disagreement between specifications is preserved instead of resolved, as it marks the boundary of what the evidence can currently support. The output is a June 2026 reference point for transatlantic strategy after agentic AI, defined tightly enough that subsequent periods can be compared against it.
Method notes are released to subscribers.
By June 2026, negotiating with evidence had become a recurring point of divergence between London, Brussels and Washington, each working from different legal instruments and strategic assumptions. This research examines human-agent teams for European strategic planning across a purpose-built evidence base covering 2026: bounded strategic-planning cases, source packets, human/agent actions, evidence graphs, confidence reports, decisions and evaluator rubrics. The modelling strategy is human-agent team experiments with adaptive task allocation, shared provenance graphs, calibrated confidence, disagreement protocols and blinded quality evaluation, checked against simpler baselines to confirm that the added complexity earns its place. Legal obligations, political framing and material conditions are coded independently, since they frequently move on different timetables. Residuals are treated as evidence: the cases the model misses tend to mark infrastructure openings, regulatory changes or reporting shifts that the covariates do not contain. Taken together, the study provides a bounded June 2026 account of negotiating with evidence and an evidence architecture that later batches can reuse.
Method notes are released to subscribers.
Method
Field evidence gathered in three jurisdictions only adds up if the instruments agree. The federation maintains a common framework for site survey, measurement, data stewardship and contributor protection, adopted by each branch before joint fieldwork begins.
