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Public research / comparative programs

Antitrust Radar research architecture

Research Topic Comparison Studio

Compare research topics, publication histories, and shared evidence. Missing coverage remains visible and is not treated as a zero economic outcome.

Opening evidence topology2 repeated IDs
Institutional research topics selected for comparisonEight research topic nodes surround an exact-evidence core. Selected topics are emphasized and connect only when their current contracts repeat at least one exact identifier.AR-T01AR-T02AR-T03AR-T04AR-T05AR-T06AR-T07AR-T08EXACTEVIDENCE
Opening topicEdge = repeated exact IDPosition = layout only
Topic universe
8
institutional contracts
Opening set
2
two to four at a time
Memberships
46
exact selected assignments
Shared custody
2
deduplicated identifiers
Boundary
No score
native counts remain separate

Comparison standard. Topics connect only through exact publication IDs, agenda-question IDs, issue-program IDs, dataset IDs, or route paths. Shared custody does not establish shared findings, methods, importance, legal relevance, or causation.

Evidence standard

Research program comparison

2 institutional topics

46 memberships / 44 unique items / reviewed through Jul 21, 2026
Comparison set

Select two to four research topics

2 / 4
Memberships
46
Selected topic assignments
Unique items
44
Deduplicated by lane and ID
Shared custody
2
Exact items in two or more topics
Coverage cells
10/10
0 structural zeros
Shared datasets
0
1 shared publication

Comparative evidence note

What this selection establishes

Mergers / Places
01 / Common custody

2 exact items span every selected topic.

2 exact identifiers recur in two or more selected contracts. The widest pair is Merger Review with Geographic Competition: 2 shared items.

Shared in 2+
2
Shared by all
2
Shared publications
1
Pubs 1 Agenda 0 Issues 1 Data 0 Routes 0
02 / Coverage frontier

5 of 5 lanes appear in every selected topic.

0 structural-zero cells remain across the selected contracts. A zero records the current editorial inventory, not the absence of relevant real-world evidence.

Universal
5
Partial
0
Absent
0
Present across every topicPubs, Agenda, Issues, Data, and Routes

Shared custody map

Only exact repeated identifiers create an edge

Series membership alone does not create a shared evidence item.
Exact selected-topic topology2 repeated IDs
Selected research-topic overlap networkSelected topic nodes connect when their contracts contain at least one exact repeated publication, agenda question, issue program, dataset, or route. Position has no quantitative meaning.2AR-T06MergersAR-T04Places
Node area = publication membershipsLine width = all exact shared itemsPosition = layout only

Exact shared-item register

2 matching shared items

2 span every selected topic.
  1. Publications2/2
    The U.S. Competition Landscape

    AR-SC-2026-01 / 2026-07-19

  2. Issue programs2/2
    Transportation networks

    How do route-level entry, capacity, airport constraints, and consolidation shape passenger choice beyond national shares?

Comparison boundary. Research topics are editorial navigation contracts assembled from exact publication themes and declared links to agenda questions, issue programs, datasets, and analytical routes. A topic does not create a legal market, make unlike units comparable, rank research importance, or establish market power, harm, liability, policy performance, welfare, or causation. Structural zeros remain visible as current coverage gaps.

Reproducibility contract

One selection, exact memberships, reusable rows.

The studio derives every matrix cell, edge, and register row from the same topic model published through the public data endpoint.

01

Exact join keys

Publication, agenda, issue, and dataset identifiers plus canonical route paths create the comparison ledger.

02

Visible structural zeros

Empty membership lanes remain explicit and are never imputed from adjacent research programs.

03

Portable evidence

Selected topic summaries and membership-level comparison packets are available as JSON and CSV.