CoER Reconnaissance Template (generic)

Center of Excellence Reconnaissance. A reusable template for turning a fuzzy interest in a niche research/industry domain into a structured talent & ecosystem landscape. Every panel below is mapped to a field in dashboard.schema.json and to a step of the method. Placeholders in {{double braces}} are slots an agent fills. A fully worked instance is at /additive-manufacturing.json.

The original annotated CoER reconnaissance dashboard template, showing all panels and the color-coded method.
The source artifact this HTML genericizes. Annotations: blue = sequential steps, pink = standing sourcing while-loops, red = hyperlink rules.
Intake
{{domain.name}} {Domain}
Centers of Excellence

domain.name · domain.industryContext · domain.focusAreas[] · domain.geographicFocus · domain.timeHorizon · domain.researchObjectives[]

Paradigm Shifts · Step 1

Past/present paradigms in play, and how they are changing. The direction of change is the signal to look for in talent.

paradigmShifts[] { from, to, talentSignal }

Core Competencies & Required Skills · Step 2 · While: aggregate common skills

Knowledge domains and concrete practitioner skills one would exemplify on a résumé in this field.

coreCompetencies[] · requiredSkills[] { skill, type }

Industry · Step 3 · While: collect logos

Companies defining the field, in three tiers. Cover academia, industry, and individual enthusiast/creator/community projects.

Established Adopters

{{company}} — CEO {{ceo}} — {{url}}

industry.establishedAdopters[] { company, url, logo, ceo }

Prime Movers

{{company}} — niche {{niche}}, traction {{tractionIndicator}}, edge {{competitiveEdge}}

industry.primeMovers[] { company, niche, tractionIndicator, competitiveEdge, ceo, url, logo }

Disruptors

{{company}} — key innovation {{keyInnovation}}

industry.disruptors[] { company, keyInnovation, ceo, url, logo }

Centers of Excellence & Industry Organizations · Step 3

Institutions defining the field (geo-located, the central map) plus standards bodies / consortia.

centersOfExcellence[] { institution, kind, geo, departmentUrl } · industryOrganizations[] { name, url }

Role Responsibilities · While: compile Meta-Role-Description

Action-criteria aggregated from real résumés and job postings; recurrence across postings = weight.

roleResponsibilities[]

Key Players · Step 4

Established, outstanding contributors (Professors, Founders, PIs, Inventors) with a truncated background timeline.

keyPlayers[] { name, currentAffiliation, focusAreas[], timeline, links }

Other Players · Step 5

The long tail: citation chains, research-group members, early startup employees, YouTubers, OSS devs, podcast guests.

otherPlayers[] { name, organization, focusAreas[], source, links }

Potential Hires · Step 6 (most important)

Emerging talent on the network fringes (interns, undergrads, grads, content creators, hackers, makers). Ranked by Creative Enthusiasm · Grit · Precociousness.

potentialHires[] { name, institution, category, degreeExperience, keyIndicators[], rankSignals, links }

Useful Links · While: collect links

White papers, primers, landscape articles, docs — indexed by canonical URL.

usefulLinks[] { title, url }


Standing sourcing rule (the while-loops): every entity sourced must be indexable (stable key) → rankable (carries its evidence) → presentable (resolved hyperlinks + panel fields). Data layer: institutions → department site; players → LinkedIn + personal site + company.