BAA & RFP Faculty Matcher
AI-powered matching against -- WSE faculty capability profiles · research areas, publications, centers, awards
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Paste a BAA or solicitation on the left and click Find Matching Faculty to see ranked results.

Funding Opportunities

Daily opportunity radar from Grants.gov and SAM.gov, scored against WSE faculty capability profiles and priority areas.

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Priority area
Source agency
Loading opportunity radar. The live feed is read from R2 after the daily Grants.gov/SAM.gov ingestion run. If no feed is available yet, preview cards appear as a fallback.
University Intelligence for the Whiting School of Engineering

WSE Intelligence

Reference
Data & Methodology
How every page of WSE Intelligence is calculated and maintained
01 Data sources

The dashboard is built from faculty roster, expertise, publication, center, and reference datasets maintained by the WSE Office of Research and Translation (ORT) or pulled from Hopkins enterprise systems. Internal analytics views also use proposal, award, expenditure, sponsor, and opportunity-feed data.

This page documents calculation definitions across the app. The underlying proposal, spend, sponsor, and gift figures load only for authorized internal users; the definitions below describe how those views are computed without exposing restricted values.

Source Provides Coverage
WSE_faculty_list.xlsxFaculty roster, rank, department, center affiliations, headshots-- active WSE-primary faculty (see Section 02)
Reference expertise datasetsBios, publications, expertise atlas, priority-area labels, and center metadataRefreshed with roster and publication updates
OpenAlex syncPublication metrics and matched works for WSE faculty authorsHistorical publication coverage; depends on source indexing and author matching
Proposal, award, and expenditure recordsProposals, awards, expenditures, sponsors, win rates, and financial trend viewsFY22-FY26 internal analytics data; values load only for authorized views
Grants.gov and SAM.gov feedsDaily opportunity radar for grant, BAA, RFP, solicitation, and special-notice discoveryScheduled Cloudflare Worker writes normalized opportunity snapshots to R2

Reference datasets (bios, expertise atlas, award descriptions) are built and refreshed independently to support the BAA matcher and faculty profile content.

02 Faculty roster

The dashboard covers -- WSE-primary faculty. This is a deliberate subset of the broader WSE-affiliated population.

The Department of Environmental Health and Engineering (EHE) is a joint department between WSE and the Bloomberg School of Public Health (BSPH). Only WSE-primary EHE faculty are included in the roster; 39 BSPH-primary EHE faculty are excluded under a strict WSE-only policy. This brings EHE from a previous count of 69 down to 30. Other minor adjustments reflect retirements, departures, and corrections.

Department counts are derived from the current runtime faculty roster and shown in the filter sidebar. Centers (DSAI, ROSEI, INBT, LCSR, and others) are tracked separately as affiliations, not departments.

03 Pillars and priority areas

Faculty are mapped to WSE priority research areas from grants, publications, bios, center affiliations, and ORT review. Research is tagged against two overlapping classification schemes:

  • Pillars (--). AI/ML, Bio, Materials, Energy. Pillar classification is exclusive: each faculty expertise profile is assigned to one primary pillar. Current faculty counts: current pillar counts.
  • Priority research areas (--). current priority areas. Priority areas are non-exclusive: a faculty profile can be tagged to multiple areas, so area counts do not sum to the school total.

Expertise pages use these mappings for discovery and publication context. Financial area metrics use a separate IO-level attribution basis where available, so each financial dollar is assigned once while expertise membership can remain overlapping.

04 Departments, centers, and institutes

Home department is the primary academic department of record for each faculty member. Department views group faculty by home department, while center and institute views show faculty-level affiliations that can cross department lines.

The largest tracked WSE centers and institutes by faculty count are current center counts. Center faculty counts overlap by design because a faculty member can belong to several centers.

Center proposal and dollar summaries add each member's portfolio into that center context, so center totals overlap and do not sum to the school total. The former NTH grouping is reported under the Dean's Office rather than as a separate center.

05 Publications

Publication views use OpenAlex works matched to WSE faculty authors. Metrics are useful for discovery and context, but they depend on source indexing, author disambiguation, and refresh timing.

  • Matched works. Publications connected to a WSE faculty profile through the author-matching process.
  • h-index. A publication-impact measure calculated from matched works.
  • FWCI. Field-weighted citation impact; 1.0 represents world average for comparable field and year.

Very recent publications and profile changes may lag until the next publication refresh.

06 Honors and recognition

Honors and recognition views use the WSE Honorary Awards dataset. Recognitions are grouped by award type and displayed by faculty profile, award name, and recorded year where available.

Counts reflect recorded awards and may lag recent announcements or awards that have not yet been added to the source list.

07 Proposal lifecycle and pipeline

Pipeline views organize proposal and award activity through the lifecycle from submission to pending decision, awarded outcome, and active spend. Dollar figures are shown in the relevant view context as awards, asks, or expenditures, not as a single interchangeable measure.

  • Submitted. Proposal records submitted during the selected fiscal-year window.
  • Pending. Submitted proposals still awaiting a decision.
  • Funded. Proposals that received an award.
  • Resolved. Submitted minus pending.
  • Win rate. Funded divided by resolved. Pending proposals are excluded from the denominator.

Briefing and Pipeline use the same resolved-basis win-rate definition so PI, unit, center, sponsor, priority-area, and school views are comparable.

08 Sponsors and corporate engagement

Sponsor views show sponsor mix, concentration, and relationship depth across the funding portfolio. Sponsor groupings prefer source codes when available and fall back to name-based classification where codes are absent.

Corporate Engagement distinguishes direct awards from pass-through relationships. A company can appear as both a direct partner and a pass-through partner when corporate funding reaches WSE through a prime award.

Gift and philanthropy lanes are shown only when a governed per-company gift feed is loaded. Preview artifacts can illustrate the intended card layout, but live relationship totals should come from the runtime feed.

09 Priority-area analytics and department map

Priority-area analytics summarize rolling activity by school theme. L12M spend means expenditures over the trailing 12 months; trend compares the current period with a prior comparable period.

The "where this work happens" view uses faculty-activity rows. A PI appears under every department or center where they have non-zero activity, while per-location dollars use the activity at that location instead of duplicating the PI's full portfolio into every row.

The Department Map shows home-department faculty activity across departments, centers, institutes, and sponsored-program units for the selected fiscal-year window. Unit totals can overlap when faculty work spans multiple places.

10 Positioning and opportunity matching

Positioning views compare faculty and units across funding, publication, sponsor, and portfolio signals. Axes are comparative within WSE rather than national benchmarks.

The BAA / RFP matcher runs server-side through the WSE AI Gateway. It first returns usable Top 10 matches, then opportunistically deep-reviews the top results. Scores and pitch language are decision-support signals that should be reviewed before external use.

Opportunity Radar is refreshed from Grants.gov and SAM.gov into R2 by a scheduled Cloudflare Worker. Grants.gov is the primary grant-opportunity source; SAM.gov is filtered to R&D-oriented BAA/RFP/solicitation notices using notice type, PSC/classification code, and R&D NAICS rules.

11 Refresh cadence and freshness

In production, the Cloudflare Pages app shell loads a broad data payload first. Internal analytics views request authenticated runtime data only after the user enters an authorized internal view. An inline HTML build is still generated for offline/internal review, but production data changes require rebuilding the R2 runtime snapshot and redeploying the app shell.

  • Annually. Faculty roster, publications, center affiliations, bios.
  • Monthly or release-based. Proposal, award, expenditure, sponsor, and IO-level financial snapshots.
  • Daily. Opportunity Radar source-feed refreshes when source APIs are available.
  • Ad hoc. Corrections, alias additions, methodology updates.

Each page displays a freshness indicator showing the data window in use. Internal analytics pages include their own freshness notes for data outside the broad expertise payload.

12 Privacy and operational telemetry

Operational telemetry is used only to understand whether the app is loading, which page categories are used, and whether browser errors occur. It records page and mode names, broad or restricted access class, and route flags such as whether a view includes an area, faculty, or grant detail.

Telemetry does not record search queries, BAA/RFP text, prompt text, model output, grant titles, faculty names, sponsor names, or email addresses. When enabled, the server replaces the authenticated user identity with a salted, truncated hash before writing an event.

Operational telemetry is disabled when the page is loaded with monitor=0. Approved production telemetry should use a 30-day retention target unless a shorter scoped export is needed for incident review.

13 Known limitations
  • Roster scope is intentional. The dashboard covers WSE-primary faculty, not every Hopkins collaborator or affiliate connected to WSE research activity.
  • Expertise tags are curated. Priority-area and pillar labels combine structured metadata with ORT review, so they should be treated as maintained intelligence rather than immutable source-system facts.
  • Counts overlap by design. Faculty mapped to several areas, centers, sponsors, or units are counted in each relevant context.
  • Publication and profile data can lag. Profile text, publication lists, center affiliations, and headshots are refreshed on a cadence and may not capture the most recent external updates.
  • Opportunity feeds depend on source APIs. SAM.gov and Grants.gov availability, rate limits, and source classification quality affect the daily opportunity radar.
  • Analytics figures require authorization. Proposal, spend, sponsor, gift, and win-rate values load only inside authorized internal views; this reference page documents definitions, not all restricted numbers.
ExpertisePriority areas
All WSE Faculty
-- faculty · click for full profile
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