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Reports · Risk Academy · Faculty

Artificial Intelligence and Autonomous Systems · Computing, Data and Quantum Technologies · Cyber, Digital and Space Systems

Faculty of Technology and Digital Systems in Reports

The faculty studies how artificial intelligence, computing, cyber, space and autonomous systems work, fail and are secured. This page shows the series it feeds, the evidence behind it and how to contribute.

Series
3
Systems
6
Disciplines
11
01In brief

What this area brings to the editions.

The faculty studies how artificial intelligence, computing, cyber, space and autonomous systems work, fail and are secured. It treats these technologies both as sources of risk and as tools for managing it, and teaches how they are evaluated, kept secure and made resilient.

02In the editions

9 findings of the drafted editions that bear on Faculty of Technology and Digital Systems.

Drawn from the Baseline Edition 2026 drafts through the systems this area reads. Each opens at its anchor in its edition, with its numbered sources.

03Evidence path

From Foundry evidence to the series.

The evidence, step by step, from the systems this area reads to the series it feeds.

How Faculty of Technology and Digital Systems reaches Reports: what it reads, how it reads it, the sealed cut and the series it feeds.

StepWhat happensSource
01 What it readsFaculty of Technology and Digital Systems reads NXS-NXQ (software, models and capability lifecycle) and NXS-LAB (research, experiments and simulations): governed sources with their releases, never a value without its source.
02 How it reads themArtificial intelligence and machine learning and AI safety and evaluation turn the evidence into findings, with assumptions and limits stated beside each value.
03 The cut is sealedEach quarter the evidence is sealed in one cut, so OBSERVED, REPORTED and ESTIMATED values stay apart and every edition can be rebuilt.
04 The series it feedsThe cut feeds Exponential Technology and Foundry Build and Readiness, from the Baseline Edition 2026 into the quarterly series.
05 Who decidesDecisions stay with the authorities that hold them, under their own rules; an edition informs a decision and never makes it.

A teaching model of the evidence path, not a forecast and not a record of any run; the systems, methods and series named come from the registries. Sources: Faculty of Technology and Digital Systems in Reports (2026); Faculty of Technology and Digital Systems home (2026).

04Series

The series it feeds, and what backs each.

SeriesFoundry systems it draws onAcademy disciplinesSeries home
Exponential TechnologyNXS-NXQ the capability catalogue and fitness assessments of machine capabilities
NXS-LAB benchmark comparisons and experiment records for fast-changing technologies
Artificial intelligence and machine learning
Innovation and frontier technology governance
Quantum technologies
Exponential Technology series home
Foundry Build and ReadinessNXS-FAC (blueprints, builds and signing) build provenance, verification results and release bundles
NXS-COR (compute, nodes and runtimes) where a build runs and the posture of that infrastructure
NXS-APP (application catalogue and lifecycle) installation and upgrade records for each application
NXS-NSF (trust, authorisation and assurance) the bounded assurance case and its reliance limits
Cybersecurity and digital resilience
Data infrastructure, compute and semiconductors
Operational risk and business continuity
Foundry Build and Readiness series home
Observatory SignalNXS-OPS (instruments, sensors and calibration) calibrated primary observations and their uncertainty budgets
NXS-EWS (multi-hazard monitoring and warning) whether an anomaly was forecast and how well
NXS-EOP (earth observation and digital twins) observational change products that corroborate a signal
NXS-SIG spectrum and timing anomalies that affect dependent services
Geospatial analysis, Earth observation and GeoAI
Climate science, variability and change
Space systems, space weather and navigation
Observatory Signal series home
08Contribute

Contribute on Faculty of Technology and Digital Systems.

Evidence, a case, a correction, a method or profile input on this subject. The composer tags it with this area and its series.

Contribution composer

Write a contribution the editor can act on.

Say what it is, where its record is kept and on which licence. It arrives tagged with this page, its area and its gateway, so it reaches the editor who owns it.

Your email opens with the subject and a template already filled in for GW-ACADEMY.

  • Evidence
  • Correction
  • Case study
  • Analysis or method
  • Peer review
  • Translation
  • Profile input

Never send personal data or sensitive infrastructure detail. A contribution is reviewed before use; sending it confers no authorship or editorial rights.

09Open science

Open science for Faculty of Technology and Digital Systems.

How a contribution on this subject is deposited, identified, credited, licensed and found, and the metadata for it prefilled from this page.

Faculty of Technology and Digital Systems’s open record

Area
Faculty of Technology and Digital Systems
Feeds
Exponential Technology, Foundry Build and Readiness, Observatory Signal
Record
A UNI for every accepted contribution; cited with its DOI in the edition that uses it
Links
isSupplementTo the edition it informs; isNewVersionOf its earlier version
Licence
CC BY 4.0 (SPDX CC-BY-4.0) for original material; metadata CC0 1.0

Credit and identity

ORCID
Your iD in the deposit and the contribution record; DataCite can then add the work to your ORCID record
ROR
Your organisation by its ROR identifier, never by a typed name alone
CRediT
Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualisation, Writing, review and editing
Account
None needed to contribute; never a password

Find and follow

Search the open indexes for Faculty of Technology and Digital Systems; software is cited by its SWHID from Software Heritage. Annotation is your choice: Hypothesis opens this page in its own viewer.

Mirrors and harvest

The DOI is canonical. At release each signed bundle is also given an IPFS content identifier and a bloxberg anchor as mirrors; both are listed in the record once they exist. Zenodo exposes every record over OAI-PMH, and reviews and endorsements can arrive through COAR Notify where the repository supports it.

InvenioRDM metadata for a contribution on Faculty of Technology and Digital Systems, prefilled from this page
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10Latest

Releases for this area.

Releases tagged to this area appear here once released.

ReportsContribute

Send evidence on Faculty of Technology and Digital Systems.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

Risk AcademyFaculty of Technology and Digital SystemsExponential TechnologyFoundry Build and ReadinessObservatory Signal
Reports · Risk Academy

Bring what you know to the next edition.

Every quarter closes on a sealed evidence cut. Contributions received before the cut are reviewed for that edition; later ones wait for the next.

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