BiT Funding Explorer
Research funding should not be a guessing game.
Explore what has actually been funded, understand the patterns behind research investment, and use historical evidence to shape what you pursue next.
● Browser-side search● No account required● Research ideas stay private by default
Historical funding intelligence
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funded projects indexed
—years covered
—known funding
—institutions
DATA COVERAGELoading indexed years…Coverage is based on records present in the historical index.
Data-quality note: BiT Funding aggregates historical funding records from external sources. Records can be incomplete, duplicated, delayed, mislabeled, or missing fields. Use the explorer as decision-support and verify important details with the original funding agency.
Funding at a glance
What does the historical record say?
Hover for detail. Click a year, agency, program, institution, or award-size band to explore the underlying awards.
Quick explore
Jump into the data
Trend
Funding over time
Agencies
Top funding agencies
Award size
Funding distribution
Programs
Leading programs
Institutions
Top funded institutions
Award Search
Search the funded research record.
Search titles, abstracts, investigators, institutions, programs, agencies, topics and award identifiers using the prebuilt historical index.
Indexed data: —
Idea Match
Find funded work similar to your idea.
Describe a research concept and BiT Funding finds historically funded projects that are conceptually related, even when they use different terminology.
Indexed data: —
Load an example:
First match may take a little longer. Your browser may need to load and cache the compact MiniLM model before it can compare your idea with the historical funding record. Later matches are usually faster.
Private by default. Your idea is processed in your browser and is not stored by BiT Funding unless you explicitly choose to share it above.
Idea Lab
Turn the funding record into new research directions.
Start with a topic or seed idea. Idea Lab retrieves historically related awards, identifies adjacent concepts, and proposes evidence-grounded directions worth investigating.
Indexed data: —
Load an example:
Idea Lab does more than a keyword search. It first finds historically similar funded work and then builds evidence-grounded directions, so it may take a little time—especially on the first use.
Idea Lab uses the historical award record as evidence and does not require a paid generative-AI API.
About BiT Funding
Built to empower researchers to pursue funding with better evidence.
BiT Funding is a public research-intelligence project focused on making the history of funded research easier to explore, understand, and use.
Created by
Ibrahim “Abe” Baggili, PhD
Professor, academic leader, researcher, and founder of the Baggili Truth (BiT) Lab. BiT Funding grew from a simple goal: give professors and researchers better access to the evidence behind what agencies have funded so they can pursue ambitious research with more information and less guesswork.
The mission
Reduce guesswork. Make funding history searchable. Help researchers see where ideas fit, what has been funded, and where new opportunities may exist.
Privacy by design
Core search and semantic matching execute in the browser. Research ideas are private by default and are only stored if a visitor explicitly chooses to share them for product improvement.
Evidence over hype
Idea matching and Idea Lab are grounded in the historical award corpus. Similarity is a research aid, not a prediction or guarantee of future funding.
Free public access
The core explorer uses static hosting and browser-side computation so it can remain widely accessible without requiring user accounts or paid AI inference.
Methodology & limitations
What is happening under the hood?
The web index is exported from the historical discovery index used by the desktop funding-intelligence application. Exact field searches use precomputed field postings. Idea matching uses MiniLM embeddings and a browser-optimized locality-sensitive hash of precomputed project vectors, then reranks candidates with textual evidence.
Important: Historical funding data is not perfect. Source systems can contain omissions, duplicates, stale metadata, inconsistent investigator names, incomplete award amounts, and other errors. Always verify consequential information with the original funding agency or authoritative record.