Boettiger Group
Business Profile
Core Value Proposition
Boettiger Group provides research and software development for ecological forecasting and decision making under uncertainty, with applications to global change, conservation, and natural resource management.
Target Customer
Academia (faculty, researchers, and students in ecology and environmental sciences) and practitioners in conservation and natural resource management.
Key Differentiator
Blends ecological theory with heterogeneous data synthesis and software development, positioned as data science for ecology; active involvement in open-source projects (rOpenSci, Rocker) and leadership roles in data-science initiatives (Schmidt Center for Data Science & Environment) and NSF ESIIL.
Implementation Timeline
Not specified in content
Pain Points
- 1Uncertainty in ecological forecasting and decision making
- 2Integrating heterogeneous and imperfect data for ecological modeling
- 3Regime shifts and abrupt changes challenging existing models and data
Key Features
- 1Ecological forecasting and decision making under uncertainty
- 2Synthesis of ecological theory with heterogeneous data
- 3Development of software and open-source data science tools
- 4Open-source community involvement (rOpenSci, Rocker)
- 5Academic leadership and collaboration with data science centers
Target Customer Industries
Decision Makers
- 1Associate Professor
- 2Advisory Board Member
Competitive Advantages
- 1Integration of ecological theory with data science and software development
- 2Active open-source contributions and community leadership
- 3Strong academic-industry-government collaboration via center affiliations and NSF involvement
- 4Access to interdisciplinary resources through Schmidt Center for Data Science & Environment
Key Benefits
Additional Product Information
Product Description
UC Berkeley-based research group focused on ecological forecasting and decision making under uncertainty, blending ecology, statistics, mathematics, and computer science with data synthesis and software development.
Target Market
Academic researchers and students in ecology and environmental science, conservation practitioners, and policymakers involved in natural resource management
Unique Value Proposition
A cross-disciplinary research group that combines ecological theory with data science and open-source software to address forecasting under uncertainty and conservation challenges, supported by strong academic and open-source collaborations
Technical Requirements
Not specified in content
Pricing Model
Not specified in content
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