Insights Funding Command¶

The insights funding command analyzes funding sources and their impact on ML research, revealing patterns in research support and institutional influence.

Basic Usage¶

scoutml insights funding [OPTIONS]

Examples¶

General Funding Analysis¶

# Top funding sources
scoutml insights funding

# Institution-specific
scoutml insights funding --institution MIT

Filtered Analysis¶

# Recent funding trends
scoutml insights funding \
  --year-min 2022 \
  --source NSF \
  --limit 30

Options¶

Option	Type	Default	Description
`--institution`	TEXT	None	Filter by institution
`--source`	TEXT	None	Filter by funding source
`--year-min`	INTEGER	None	Minimum publication year
`--year-max`	INTEGER	None	Maximum publication year
`--limit`	INTEGER	20	Number of top sources
`--output`	CHOICE	rich	Output format: rich/json/csv
`--export`	PATH	None	Export results to file

Funding Metrics¶

Source Analysis¶

Funding agencies
Grant programs
Industry sponsors
Foundation support

Impact Metrics¶

Papers per grant
Citations per dollar
Breakthrough research
Technology transfer

Institutional Patterns¶

University funding
Corporate labs
Government labs
International collaboration

Research Areas¶

Domain focus
Emerging fields
High-impact areas
Interdisciplinary work

Use Cases¶

Grant Writing¶

# Successful grant patterns
scoutml insights funding \
  --source "NSF" \
  --year-min 2021 \
  --output json | \
  jq '.[] | {
    program: .grant_program,
    papers: .paper_count,
    avg_citations: .avg_citations,
    topics: .research_areas
  }'

Institutional Analysis¶

# Compare institutions
institutions=("MIT" "Stanford" "CMU" "Berkeley")

for inst in "${institutions[@]}"; do
    echo "=== $inst ==="
    scoutml insights funding \
        --institution "$inst" \
        --limit 10 \
        --output json | \
        jq -r '.[] | .funding_sources[].name' | \
        sort | uniq -c | sort -rn
done

Industry Influence¶

# Corporate funding impact
scoutml insights funding \
  --source "Google" \
  --output json | \
  jq '.[] | {
    paper: .title,
    citations: .citations,
    open_source: .has_open_source_code
  }'

Emerging Areas¶

# New funding priorities
scoutml insights funding \
  --year-min 2023 \
  --output json | \
  jq 'group_by(.research_areas[0]) | 
      map({area: .[0].research_areas[0], count: length}) | 
      sort_by(.count) | reverse'

Advanced Usage¶

Funding Trends¶

# Track funding over time
for year in {2019..2023}; do
    echo "=== Year $year ==="
    scoutml insights funding \
        --year-min $year \
        --year-max $year \
        --output json | \
        jq -r '.[] | .funding_sources[].name' | \
        sort | uniq -c | sort -rn | head -5
done

ROI Analysis¶

# Research return on investment
scoutml insights funding \
  --source "DARPA" \
  --output json | \
  jq 'map(select(.grant_amount != null)) | 
      sort_by(.citations / .grant_amount) | 
      reverse | 
      .[:10] | 
      .[] | {
        paper: .title,
        grant: .grant_amount,
        citations: .citations,
        roi: (.citations / (.grant_amount / 1000000))
      }'

Collaboration Networks¶

# Multi-institution funding
scoutml insights funding \
  --output json | \
  jq '.[] | select(.institutions | length > 1) | {
    lead: .institutions[0],
    collaborators: .institutions[1:],
    funding: .funding_sources[].name
  }' | \
  jq -s 'group_by(.funding) | 
         map({funding: .[0].funding, 
              collaborations: length})'

Output Examples¶

Rich Output (Default)¶

Displays: - Funding source rankings - Institution statistics - Research area distribution - Trend visualizations

JSON Output¶

{
  "funding_source": "National Science Foundation",
  "stats": {
    "total_papers": 1250,
    "total_citations": 45000,
    "avg_citations_per_paper": 36,
    "top_institutions": ["MIT", "Stanford", "CMU"],
    "top_programs": ["CAREER", "CISE", "EAGER"]
  },
  "papers": [
    {
      "arxiv_id": "2103.00020",
      "title": "Learning Transferable Visual Models...",
      "institutions": ["OpenAI"],
      "grant_number": "IIS-XXXXXX",
      "grant_amount": 500000,
      "citations": 5000
    }
  ],
  "research_areas": [
    {"area": "computer vision", "count": 450},
    {"area": "natural language processing", "count": 380}
  ]
}

CSV Output¶

source,institution,papers,citations,avg_impact,primary_area
NSF,MIT,125,4500,36.0,computer vision
DARPA,Stanford,98,5200,53.1,nlp
NIH,Harvard,76,2800,36.8,medical ai

Funding Sources¶

Government Agencies¶

# US agencies
agencies=("NSF" "DARPA" "NIH" "DOE" "ONR")

for agency in "${agencies[@]}"; do
    scoutml insights funding --source "$agency" --limit 5
done

Corporate Sponsors¶

# Tech company funding
companies=("Google" "Microsoft" "Facebook" "Amazon" "Apple")

for company in "${companies[@]}"; do
    echo "=== $company Research Funding ==="
    scoutml insights funding \
        --source "$company" \
        --output json | \
        jq -r '.[] | .papers[].title' | head -5
done

Foundations¶

# Foundation support
scoutml insights funding \
  --source "Foundation" \
  --output json | \
  jq '.[] | select(.funding_sources[].type == "foundation")'

Best Practices¶

Grant Applications¶

Study successful patterns in your area
Note collaborative grants success
Track emerging priorities
Align with agency goals

Institutional Strategy¶

Identify funding gaps
Build collaborations
Target multiple sources
Track competitor funding

Research Planning¶

Follow funding trends
Anticipate new programs
Build track record
Diversify sources

Common Workflows¶

Competitive Intelligence¶

# Track competitor funding
COMPETITOR="Stanford"

scoutml insights funding \
  --institution "$COMPETITOR" \
  --year-min 2022 \
  --output json | \
  jq 'group_by(.funding_sources[0].name) | 
      map({source: .[0].funding_sources[0].name, 
           papers: length,
           total_funding: (map(.grant_amount // 0) | add)})'

Proposal Preparation¶

# Find successful proposals in area
AREA="federated learning"

scoutml search "$AREA" --limit 50 --output json | \
  jq -r '.[] | .arxiv_id' | \
  xargs -I {} scoutml paper {} --output json | \
  jq 'select(.funding != null) | {
    title: .title,
    funding: .funding,
    citations: .citations
  }'

Impact Assessment¶

# Measure funding impact
scoutml insights funding \
  --source "NSF CAREER" \
  --output json | \
  jq '{
    total_papers: length,
    total_citations: (map(.citations) | add),
    avg_citations: (map(.citations) | add / length),
    top_papers: (sort_by(.citations) | reverse | .[:5] | map(.title))
  }'

Tips and Tricks¶

Finding Opportunities¶

Track new programs announcements
Study recent awards
Network at conferences
Read agency priorities

Maximizing Impact¶

Collaborate strategically
Publish in high-impact venues
Open source your code
Engage with community

Reporting¶

Acknowledge funding properly
Track publication metrics
Report outcomes accurately
Maintain compliance

search - Find funded research
paper - Check paper funding
insights reproducibility - Funded vs unfunded quality
review - Funding landscape analysis