Readings from the other desks

Readings from the other desks: cross-references to their editions for the same scope, not copies of them.

In preparation. This chapter is seeded with Risk Academy’s reading printed in the GCRI edition; Risk Academy replaces it with its own text when it writes the edition.
Contents
  1. ·Edition home
  2. 1Capability needed
  3. 2Capability findings
  4. 3Faculties and roles
  5. 4Gaps and pathways
  6. 5Workforce scenarios
  7. 6Readings from the other desks
    1. 6.1 Literature and evidence review: the Risk Academy reading in the GCRI edition
    2. 6.2 Readings from the other desks
    3. 6.3 Contribute to this chapter
  8. 7Curriculum agenda
  9. 8Competency map

6.1Literature and evidence review: the Risk Academy reading in the GCRI edition

The review protocol behind Neurotechnology and Human–Machine Interfaces 2026, as printed in the Global Centre for Risk and Innovation (GCRI) Systems Evidence edition. The review behind this edition covers neurotechnology assessments, peer-reviewed science and the institutional reports that bind its findings. Systematic reviews for each agenda item begin in 2027.

Question
What does the published evidence establish about neurotechnology as clinical hardware and personal data and its couplings?
Sources searched
peer-reviewed journals and preprints; guidance, laws and recommendations; policy translations; company and trade reports
Window
releases available at evidence close, 30 September 2026
Selection
sources that bind or contextualise a finding in this edition
Next step
systematic reviews for agenda items 01 to 05 in 2027

6.2Readings from the other desks

Cross-references to the other desks’ editions for the same subject, never copies of them.

DeskEditionStateIdentifier
Academy CapabilityCapability: Neurotechnology and Human–Machine Interfaces 2026In preparationNR-RA-XT-20-2026-BASELINE (reserved)
GCRI Systems EvidenceSystems Evidence: Neurotechnology and Human–Machine Interfaces 2026Drafted, in stewardship reviewNR-XTECH-NEURO-GLOBAL-2026-BASELINE-v1.0.0
GRF Public DeliberationOutside this desk’s remitNot in remit
GRA Capital ReadinessOutside this desk’s remitNot in remit
Standards ProgressStandards Progress: Neurotechnology and Human–Machine Interfaces 2026In preparationNR-NXS-XT-20-2026-BASELINE (reserved)
Index MeasurementOutside this desk’s remitNot in remit

Downloads

The print edition of the evidence this chapter cross-references: the GCRI Systems Evidence edition for Neurotechnology and Human–Machine Interfaces.

Draft, not yet releasedThe print and files of the GCRI edition this desk’s edition cross-references. Review copies until release; the DOI is issued at deposit.

  • Print

    • PDF, A4

      The GCRI Systems Evidence print edition for this subject, A4: cover, imprint, contents with page numbers, every chapter and annex.

      PDF113 pages1.1 MBTagged, with bookmarks

      SHA-256 1b276afce6bca24b54678af9a98bba706f7ae5b11f20c2e49c30c56bd83684a0

      Download: PDF, A4

    • PDF, US Letter

      The GCRI Systems Evidence print edition for this subject, US Letter: cover, imprint, contents with page numbers, every chapter and annex.

      PDF121 pages1.1 MBTagged, with bookmarks

      SHA-256 d43ae78f5a47684feb2d0ecc78a28696fdf3670c30a7369d28936ab2abf77a4a

      Download: PDF, US Letter

  • Web edition

  • Data bundle

    • Indicators, CSV

      16 indicators with unit, year, status and source

      NR-XTECH-NEURO-GLOBAL-2026-BASELINE-indicators.csv1 KB

      SHA-256 5fcebba27a41f952eb1984a1849d9a21e636ecbbb858a7cfd12593273299e02e

      Download: Indicators, CSV

    • Indicators, JSON

      The same indicators with the edition’s identity and licence

      NR-XTECH-NEURO-GLOBAL-2026-BASELINE-indicators.json2 KB

      SHA-256 84763ac2fc518c6e22a607df96e5cf665b378b7e2d5dae3a93a829a6138395b1

      Download: Indicators, JSON

    • Findings, CSV

      12 findings with status, evidence-quality level and references

      NR-XTECH-NEURO-GLOBAL-2026-BASELINE-findings.csv3 KB

      SHA-256 99d3e17ea329a61d07269b9c4fb66f9314005dd8eda895cb760a597a576e78e1

      Download: Findings, CSV

  • Citation files

    • Citation, BibTeX

      For LaTeX and reference managers

      NR-XTECH-NEURO-GLOBAL-2026-BASELINE.bib1 KB

      SHA-256 1dde833e8119208f178aeefbcf409f286888583c46d261fd832b153c63a7f09a

      Download: Citation, BibTeX

    • Citation, RIS

      For Zotero, EndNote and Mendeley

      NR-XTECH-NEURO-GLOBAL-2026-BASELINE.ris1 KB

      SHA-256 35894c37df1d75bc5661eec8b7840ebf4685defc55be5acceb4648e7b70de89d

      Download: Citation, RIS

    • Citation, CITATION.cff

      Citation File Format 1.2.0, for GitHub, Zenodo and software catalogues

      NR-XTECH-NEURO-GLOBAL-2026-BASELINE.cff1 KB

      SHA-256 fe34e2f10f3e0a3621cd4df996367019140db054e8d7d94f0890286aba3f630e

      Download: Citation, CITATION.cff

Check a file with its SHA-256: shasum -a 256 <file> (macOS, Linux) or Get-FileHash <file> (Windows). Text, tables and figures by Nexus: CC BY 4.0; each source keeps its own licence.

6.3Contribute to this chapter

The capability of the workforce that manages the risks in scope: the competencies needed, what learning and practicum show, and where the gaps are. Reported in aggregate only; no learner record is published. Material for this chapter goes to the Academy Capability desk; what belongs to another desk is forwarded, not refused.

Risk Academy reads an edition for capability: what competence exists, what is missing, which pathway closes the gap and which role needs it.

If you teach or assess risk, send aggregate outcomes and the method behind them. The Academy will not accept a file that names a learner.

Which desk takes what you have
ReportsContribute

Contribute to chapter 6 of Capability: Neurotechnology and Human–Machine Interfaces 2026.

Reports is the Consortium’s quarterly publication, written by six desks. This page sits with the Academy Capability desk. 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. Sent to the wrong desk, it is forwarded, not refused.

Academy Capability deskAcademy Capability
Contribution form · reports.contribution.ra

Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.

CC BY 4.0 Free to read. Text and figures: CC BY 4.0. Data: CC0 1.0. Authors keep copyright. Published by GCRI Canada.

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What you can do from this page.

  • ReaderFound an error? Every correction is public.Corrections log
  • ContributorSend evidence, data or a correction to this desk.Contribute
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  • Editor, steward or boardQueues, decisions and production are in the workspace.My workspace
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