In 2–3 lines, what changes across these lenses for your chosen tech?

Map the genealogy: TA → ELSA → RRI

Where does risk concentrate first for GPT in service contexts — data, model, workflow, or deployment?

From your tech’s supply chain, which hotspot is most sensitive in S-LCA and why?

Name one, then suggest a mitigation you’d actually implement.

What’s the first HRIA red flag in your dataset?

Early signal often appears at data ingestion/labeling drift before model usage spikes.

Where does risk concentrate first for GPT in service contexts — data, model, wor

Industrial Policy for the Final Frontier

Structuring Markets for Strategic Quantum Innovation

Implementing RRI & sustainability assessment

Technology Assessment in Practice and Theory

Responsible Research & Innovation — policy issue

Technology Assessment for Responsible Innovation

A HRIA of Digital Activities — Intro

Anticipatory governance & moral imagination

HRIA for AI Data-Intensive Systems

AI Ethics IA via Requirements Engineering

Solar Geoengineering: History, Methods, Governance

Anticipating governance in synthetic biology

Ethical Landscape of Robot-Assisted Surgery

RRI — anticipation & methods (Handbook chapter)

S-LCA in Circular Economy

Social LCA as a resource for RRI

Military & Security Dimensions of Quantum Technologies

Systematic Review of AI Impact Assessments

Ethics of Social Robotics

Future & Ethical Perspectives of Robotics/AI

Responsible Innovation as inspiration for ELSA

Integration scaffolds and coaching prompts

Peer Week Integration Kit

Peer review prompts and method clinic guidance

Policy Lab Facilitation Notes

Towards Earth–Space Governance in a Multi-Planetary Era

Evolving Governance in the Space Sector

Seminar: TA → ELSA → RRI

HRIA & Surveillance Matrix

Real-Options: Quantum/Space

Collaborative Policy Lab II (Peer Week)

Final Stakeholder Briefings

Methods Lab: Scanning & Signals

Workshop: AI Impact & Scenarios

Rapid HTA Studio: Bio/Neuro

Backcasting Clinic: Climate/Geoeng

Collaborative Policy Lab I

Energy Transition: S-LCA Exercises

Mini-Delphi: Dual-Use Governance

Speculative Vignettes: Care Robots

Survey of AIIA tools and scoring approaches

AI Impact Assessments landscape

Classical TA (expert input for MPs)

Co-construction with developers & researchers

Constructive TA (shape design)

Evidence-based HRIA framing for data-intensive systems

Human Rights Impact Assessment for AI

Using S-LCA for grid and hydrogen choices

Social LCA for energy transitions

Methods, governance debates, and contested timelines

Solar geoengineering — history & governance

PEST/STEEP framing and clustering practices

Horizon scanning & weak signals

Citizen and stakeholder involvement in appraisal

Participatory TA (broaden debate)

Stage-gates, option value, wildcard testing

Quantum & space governance uncertainty

Distribution of benefits/risks in assistive robotics

Ethics of embodied AI in care

Week 1 — Foundations: TA, ELSA/ELSI, RRI

Week 10 — Data governance, privacy, surveillance

Real-options thinking + wildcard stress-tests

Week 11 — Frontier uncertainty: quantum, space, dual-use

Week 12 — Mini-project / Peer week

Week 13 — Final synthesis & stakeholder briefings

Horizon scanning, weak signals, STEEP/PEST

Week 2 — Scanning methods & futures tools

Week 3 — Generative AI & automation

Week 4 — CRISPR, genome editing, neurotech

Week 5 — Climate interventions & geoengineering

Week 6 — Collaborative Policy Lab

Week 7 — Energy transition

Week 8 — Synthetic biology & biosecurity (dual-use)

Week 9 — Robotics, embodied AI, care & work

# Claude Thread (v3 Raw) Summary

Source: `apps/stps/deploy_n_v2/v3/raw/claude_thread.md`.

## Themes
- **Magic moments first:** define a “wow” experience per persona (family, agency, learning) before obsessing about architecture.
- **AI-first architecture:** treat every node as “smart” (AI summaries, suggested links, action items, auto-edges).
- **Universal sessions:** sessions aren’t just meetings—they’re work contexts that can morph (brainstorm → translation) and accumulate intelligence (decisions, patterns, glossaries).
- **Progressive disclosure:** Level 1 simple buttons, Level 2 discoveries (`/` commands, drag PDF), Level 3 pro tools (Cmd+K, batch ops, graph view).
- **Hybrid storage:** Postgres/Supabase for structured data; Convex for realtime state; edge functions for heavy AI.
- **North Star:** One platform, many experiences (family voice button, agency drag/drop, learning community timeline) using the same graph.

## Action plan (from thread)
1. **Week 1:** clean architecture, create smart sessions, build one magic moment (e.g., PDF → glossary extraction).
2. **Week 2:** add extraction pipeline, graph brain, session intelligence.
3. **Week 3:** polish transitions, family test (voice input), pro touches (command palette).

Use this doc when you need the visionary framing that led to sessions, universal blocks, and the hybrid storage plan.
