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Data Bounty LLC offers flexible consulting models designed for academic labs, corporate R&D, and policy institutions
Data Bounty LLC offers flexible consulting models designed for academic labs, corporate R&D, and policy institutions
Grant Proposal Writing & Project Development
Grant Proposal Writing & Project Development
Securing funding is competitive. We provide full-cycle support for research grant applications, from hypothesis generation to technical writing and budget justification.
Proposal Strategy: Leveraging experience securing over $1M in funding from federal agencies (USDA NIFA) and private industry (PepsiCo, Minnesota Wheat Research).
Experimental Design: Constructing robust statistical frameworks (power analysis, sampling design) to strengthen the technical merit of your application.
Project Execution: Consulting on the operational roadmap to ensure proposed milestones are realistic and achievable.
End-to-End Data Consulting
End-to-End Data Consulting
We handle the "messy" reality of data so you can focus on the insights.
Data Collection & Cleaning: Developing custom pipelines to parse, standardize, and clean complex datasets—including text-based pedigrees and disparate spatial data.
Pipeline Automation: Building automated workflows in Python and R to transform raw data into analysis-ready formats.
Advanced Modeling: Executing high-level econometric and statistical analysis, including hierarchical models and spatial models.
Scientific Communication & Manuscript Preparation
Scientific Communication & Manuscript Preparation
Translate complex analytical results into clear, publishable narratives for high-impact journals or executive stakeholders.
Manuscript Writing: Full support for peer-reviewed journal submissions, drawing on a track record of 15+ publications in journals like Nature Plants, Food Policy, and Global Change Biology.
Technical Reporting: Producing policy-relevant findings and industry reports that bridge the gap between technical data and business strategy.
Data Visualization: Creating publication-quality figures and interactive visualizations to communicate key findings effectively.
Core Capabilities
Core Capabilities
Investment Decision Support & R&D Strategy
Investment Decision Support & R&D Strategy
For organizations navigating high-stakes technology portfolios, deciding where to allocate capital requires more than simple forecasting. We help clients quantify the potential ROI of new technologies and research initiatives before they are fully deployed.
Technology Adoption Modeling: We link biological/physical performance data with economic behavioral models to predict adoption rates of new innovations (e.g., new crop varieties or ag-tech hardware).
R&D Portfolio Optimization: Using historical benefit attribution data, we assess which research pipelines offer the highest probability of commercial or social success.
Benefit-Cost Analysis: Rigorous evaluation of trade-offs for public and private sector projects.
Bio-Economic Risk Management
Bio-Economic Risk Management
Standard financial models often fail to account for the biological complexity of living systems. We specialize in Probabilistic Bio-Economic Assessments that merge physical science data with economic valuation.
Biotic & Abiotic Risk Modeling: Quantifying the long-term economic threats posed by pests, pathogens, and climate volatility using spatial-temporal panel data.
Insurance Driver Analysis: Identifying the causal variables that drive claims and losses to improve premium pricing and risk mitigation strategies.
Resilience Planning: Stochastic modeling to stress-test supply chains against multi-peril global shock scenarios.
Production Optimization & Efficiency
Production Optimization & Efficiency
For precision agriculture and manufacturing supply chains, we move beyond "average" performance metrics to identify heterogeneity in your production system. By understanding the specific drivers of yield and output, we help you do more with less.
Input Efficiency Analysis: Using hierarchical random coefficient models to identify exactly where inputs (fertilizer, capital, labor) are being wasted versus where they generate value.
Yield Gap Decomposition: Quantifying the causal factors limiting production capacity across different spatial environments.
"Nudging" Strategies: Designing data-driven interventions to optimize producer behavior for both economic and environmental goals.
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