A discovery layer over the combined cluster corpus.
ATLAS harvests every member's bibliography, retrieves the connected texts, and builds a searchable, analysable corpus. On top sits an exploratory layer — not a catalogue, but an instrument for examining the structural relations between hundreds of researchers across two clusters and their disciplines.
From bibliography to discovery — the pipeline
Harvest
Pull every cited reference from all member bibliographies across both clusters.
● IngestedScrape
Your existing scraper fetches the connected full texts, abstracts & metadata.
● ConnectedIndex → RAG
Embed & chunk into a retrieval system; make it searchable and analysable.
◔ BuildingExplore
Topics, bridges, discourses, dialogues — the exploratory discovery layer.
◔ This prototypeThe Constellation
Every person, topic and discipline as a single network. Select a thread to trace its relations across the cluster.
Topics & Overlaps
Topic modelling over the corpus identifies the cluster's themes — and where two of them share literature and terminology.
Bridge Actors
What connects research questions across disciplines? In the ID+ sense: not people, but themes, spaces, methods and tools — the non-human actors holding the network together.
Discourses
Identify the discourse within each discipline, and trace where vocabularies and citations converge on a shared problem.
Disciplinary Dialogues
Personas grounded in different disciplines discuss a question, drawing on their field's stance. Observe, or contribute.
Ask the Corpus
A semantic retrieval interface. Ask in natural language; receive an answer grounded in the corpus with citations.
*Figures and contents in this prototype are illustrative mock data, shown to communicate the interface concepts.
⌖ Throw in a question or a topic
ATLAS finds matching literature and shows each source in context on the map →
Topics & their overlaps
Topic modelling over the full corpus. Pick two topics to surface the literature and terminology they secretly share.
The ribbon diagram maps shared literature between topic fields — thicker ribbons mean more co-cited sources. Click a topic below to highlight its ties, then click a second to open the overlap.
Bridge actors
In the ID+ sense a bridge is not a person but something connecting — a theme, a space, a method, a tool, a material, a shared problem. ATLAS surfaces the non-human actors that hold otherwise-separate research questions together, ranked by how much of the network's flow passes through them.
Discourses & their intersections
Each discipline runs its own conversations. ATLAS names them, assigns publications, and — crucially — finds where two discourses converge on the same problem under different words.