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职业迁徙
个人简介
Research Interests / Specializations:
Theoretical ecology, ecoinformatics, modeling, data science, resilience, early warning signals, decision theory
Research Description:
I work on problems in ecological forecasting and decision making under uncertainty, with applications for global change, conservation and natural resource management. I am particularly interested in how we can predict or manage ecological systems that may experience regime shifts: sudden and dramatic changes that challenge both our models and available data. The rapid expansion in both computational power and the available ecological and environmental data enables and requires new mathematical, statistical and computational approaches to these questions. Ecology has much to learn about what are and are not useful from advances in informatics & computer science, just as it has from statistics and mathematics. Traditional approaches to ecological modeling and resource management such as stochastic dynamic systems, Bayesian inference, and optimal control theory must be adapted both to take advantage of all available data while also dealing with its imperfections. My approach blends ecological theory with the synthesis of heterogeneous data and the development of software -- a combination now recognized as data science.
Theoretical ecology, ecoinformatics, modeling, data science, resilience, early warning signals, decision theory
Research Description:
I work on problems in ecological forecasting and decision making under uncertainty, with applications for global change, conservation and natural resource management. I am particularly interested in how we can predict or manage ecological systems that may experience regime shifts: sudden and dramatic changes that challenge both our models and available data. The rapid expansion in both computational power and the available ecological and environmental data enables and requires new mathematical, statistical and computational approaches to these questions. Ecology has much to learn about what are and are not useful from advances in informatics & computer science, just as it has from statistics and mathematics. Traditional approaches to ecological modeling and resource management such as stochastic dynamic systems, Bayesian inference, and optimal control theory must be adapted both to take advantage of all available data while also dealing with its imperfections. My approach blends ecological theory with the synthesis of heterogeneous data and the development of software -- a combination now recognized as data science.
研究兴趣
论文共 106 篇作者统计合作学者相似作者
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Freya Olsson,Cayelan C Carey,Carl Boettiger, Gregory Harrison,Robert Ladwig,Marcus F Lapeyrolerie,Abigail S L Lewis,Mary E Lofton, Felipe Montealegre-Mora,Joseph S Rabaey,Caleb J Robbins,Xiao Yang,
crossref(2024)
SCIENCEno. 6678 (2024): 34-36
Caleb Scoville, Hilary Faxon, Melissa Chapman, Samantha Jo Fried,Lily Xu,Carl Boettiger,J. Michael Reed,Marcus Lapeyrolerie,Amy Van Scoyoc, Razvan Amironesei
The Oxford Handbook of the Sociology of Machine Learning (2023)
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Frontiers in Ecology and the Environmentno. 5 (2023): 220-226
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Nature Reviews Methods Primersno. 1 (2023): 1-16
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Bulletin of Mathematical Biologyno. 10 (2023): 1-30
METHODS IN ECOLOGY AND EVOLUTIONno. 3 (2023): 728-731
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