Illustrative: packages on a board with routed traces carrying clocked signals, or a data hall of racks and their status lights
Risk Academy, led by the Nexus Consortium · Faculty
Faculty of Technology and Digital Systems
Digital systems fail where they meet the physical world: a dish loses a pass, a cable lands in one valley, an exploited vulnerability stays unpatched past its due date, a model scores well on a benchmark and badly in use.
How its disciplines connect
3D graph
Faculty of Technology and Digital Systems
295 nodes1,814 relations9 views
Build a twin of any place
Search any place or open the world; the layers and generators follow the faculty's subjects on the planet map, the globe and in 3D.
- Terrain 0 to 245 m
- 4 satellite dishes
- 74 communication masts and towers
- 12 telephone exchanges
- 7 data centres and cable landing stations
- 12 aerodromes
- 1 telecom offices
- Communication line 161 km
- 729 known exploited vulnerabilities since 2023-10-17
- Night-time lights, VIIRS day-night band: read live when the 3D twin opens
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Flat plan of the same data: relief as contours from the inline grid, the mapped ground infrastructure by kind, the mapped cables and the numbers below. The 3D twin opens on devices that can draw it, once its data and code have been checked.
The boundaries, names and designations shown do not imply any judgement on the legal status of any territory, or any endorsement or acceptance of such boundaries. Countries: Natural Earth (public domain).
From a dataset to an incident: where risk enters an AI system's life and where it is caught
An AI system's risk is set at four gates: the data it learns from, the evaluation it must pass, the share of its use that is monitored, and the time it takes to roll back. A system with a weak gate anywhere carries that weakness into every deployment.
Sources: NIST, Artificial Intelligence Risk Management Framework (AI RMF 1.0) (2023); Gebru and others, Datasheets for datasets (2021); OECD AI Incidents Monitor (2026-10-17); ISO/IEC 42001:2023, Information technology, Artificial intelligence, Management system (2023).
Departments and their disciplines
Each card names the department's disciplines and its open courses.
Disciplines of the faculty
Each discipline once, in its department.
How Technology and Digital Systems is organised, as a process you can run
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Process explorer
How Technology and Digital Systems is organised
23 steps7 stages
Standards and evidence, with 5 related topics
Nexus Standards the faculty teaches toward
The Nexus Standards areas whose standards the faculty's disciplines teach toward, with the number of standards and disciplines in each.
Where the field is moving
Emerging areas, the technologies changing practice and the bodies whose work sets the field's methods.
What is changing now
The newest developments cited on the faculty's discipline pages, sources checked on 16 October 2026.
Research and tools
Research and preprints as they are published, by discipline, with the faculty's other tools.
The hub lists the newest research and preprints for 11 disciplines, each with its source and date. Open the research hub
Artificial intelligence and machine learning, AI safety and evaluation, Robotics and autonomous systems, AI assurance and audit, Data infrastructure, compute and semiconductors, Quantum technologies, Cybersecurity and digital resilience, Digital public infrastructure and digital identity, Space systems, space weather and navigation, Operational technology and cyber-physical security, Positioning, navigation and timing resilience
Where to start, and where it leads
The faculty's entry course, then its flagship pathways and the Academy flagship in Nexus-Based Risk Management.
Courses of the faculty
Courses whose primary discipline is in this faculty.
Where these subjects are practised
Learning and connections
Labs used in the faculty's courses
| Lab | What you do in it | Courses using it |
|---|---|---|
| Network lab | Build dependency graphs, find critical nodes, trace cascades | 2 |
| GeoAI lab | Apply Earth observation and machine learning to open imagery | 1 |
Programmes that span faculties
Each programme joins disciplines from more than one faculty under an institute of the Academy, and appears on every faculty it spans.
Institutes that convene the faculty
Across the ecosystem
Take part in Technology and Digital Systems
Start from who you are.
Questions, answers and key terms
Is study here free?
What does completing a course give me?
Where do the data and the places come from?
How do I take part beyond the faculty's courses?
Key terms
Faculty of Technology and Digital Systems
The faculty studies how artificial intelligence, computing, cyber, space and autonomous systems work, fail and are secured.
Department
A body of related disciplines within the Faculty of Technology and Digital Systems, with its own courses and pathways.
Primary discipline
The discipline that a course mainly teaches. A course may also teach up to two other disciplines.
Ground segment
The dishes, stations, networks and operations centres on Earth that control satellites and carry their traffic.
Contribute evidence from this page.
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.
Around the Faculty of Technology and Digital Systems
Start in one department
Each department lists its disciplines, courses and pathways. Each discipline lists its scope, labs, technology and key terms.