Nottingham University Research Workflow

ZeroThink is being extended with a Nottingham-focused research workflow for literature discovery, survey extension, topic-expert identification, generative UI, provenance tracking, and human-agent research collaboration.

This page describes a collaboration-facing workflow designed to support discussions involving University of Nottingham research priorities. It is not written as a claim of official endorsement.

Survey Extension Topic Expert Identification Generative UI Researcher-in-the-loop validation

Open Research Paper Creator Custom Research Processes Serper Search Docs

Current Nottingham Direction

Survey Extension

Extend existing surveys with newly published papers while reusing the original review structure where possible.

Topic Expert Identification

Identify authors, labs, reviewers, and potential supervisors from literature evidence without overclaiming formal status.

Generative UI

Generate adaptive research interfaces from evidence structures so students and researchers can inspect, steer, and validate work.

Researcher-Controlled Workflow

Topic intake and research question refinement.

Search, retrieve papers, and process full text where available.

Map claims, sources, gaps, contradictions, and expert/topic links.

Expose provenance so every synthesis step can be inspected.

Let humans steer, correct, validate, and approve before final writing.

Build foundations for future AI co-scientist workflows after the evidence layer is stronger.

Shared Technical Foundations

Search agents and Serper-backed web discovery.
Paper retrieval, metadata capture, and full-text processing where possible.
Evidence mapping, claim ledgers, and literature landscape analysis.
Provenance tracking from source search to final synthesis.
Human-agent validation gates before outputs become drafts or recommendations.

Team Structure

Team A: Survey Extension

Focus on existing review structures, new-paper search, section mapping, gap detection, and source-ledger validation.

Team B: Topic Experts + Generative UI

Focus on topic-expert identification, supervisor finder, reviewer finder, and adaptive interfaces from evidence maps.

Shared Infrastructure

Search, retrieval, full-text processing, provenance, GitHub version control, possible Anytype structures, and Miro planning.

Wider Collaboration Context

ZeroThink keeps compatibility with broader collaboration-facing research directions involving Nottingham, Melbourne, Singapore Management University, Chicago, and MOD-related research conversations, while keeping the Nottingham workflow as the immediate main focus.

Next Steps

Support team allocation around survey extension and topic expert/generative UI work.
Prepare an Anytype-compatible research structure where useful.
Prepare demo mode for the next meeting.
Enable students to choose project interests and workflow templates.
Keep AI co-scientist as the long-term direction that emerges after search, retrieval, evidence mapping, provenance, and validation are stronger.