Nathaniel Kenneth Newlands Author of Evaluating Organization Development
FEATURED AUTHOR

Nathaniel Kenneth Newlands

Senior Research Scientist
Science and Technology, Government of Canada and University of Victoria

Nathaniel is a Research Scientist with the Government of Canada (Agriculture and Agri-Food Canada and Statistics Canada) based at the Summerland Research and Development Centre in British Columbia, Canada, and a Professor (Adjunct) in Geography with the University of Victoria, Canada. His research work addresses public-good food-water-energy nexus issues and tackles broad, integrated, complex global problems to help support and advance global sustainable development.

Subjects: Agricultural Science, Computer Science & Engineering, Disaster Planning & Recovery , Environmental Science, Statistics

Biography

Nathaniel is a recipient of a prestigious Government of Canada national award, the Public Service Award of Excellence in Innovation. In 2018, he was an invited International Researcher in Residence with Deakin University’s Centre for Regional and Rural Futures (CeRRF). In 2019, he was awarded a prestigious international fellowship from the Organization for Economic Co-operation and Development’s (OECD’s) Collaborative Research Program (CRP) to collaborate with the Australian Government’s Bureau of Agriculture and Resource Economics (ABARES).
He is author of the book, “Future Sustainable Ecosystems: Complexity, Risk, Uncertainty” published by Taylor and Francis LCC in 2016, and a lead editor and author of “Evaluating Climate Change Impacts” CRC Press. Nathaniel is a deputy-chief of a Global Expert Working Group on Ecosystem/Nature-based solutions of the Food and Agriculture Organization of the United Nations (FAO). co-chair of the Group on Earth Observations (GEO)’s Disaster Risk Reduction Working Group and Subgroup 2 Lead on UNDRR Sendai Framework Monitoring and Global Assessments. He is member (previously Vice-Chair) of the American Statistical Association (ASA)’s International Relations Committee, and President-Elect of the International Environmetrics Society (TIES).

Education

    Postdoc, Mathematical Ecology (UBC, Vancouver, Canada)
    Ph.D. Resource Mgmt. and Environmental Studies (UBC, Canada)
    M.Sc. Astrophysics (Univ. Calgary, Canada)
    B.Sc. (Hon.) Mathematics and Physics (Univ. Guelph, Canada)

Areas of Research / Professional Expertise

    • Interdisciplinary Science, Systems Science/Ecosystems, Operations Research
    • Complex Adaptive Systems, Data Science, Integrated Risk Analysis,
    • Predictive Analytics, Artificial Intelligence/Machine-Learning
    • Food Security/Insecurity, Renewable Resources, Industrial Ecology, Sustainability,
    • Environmetrics, Sustainability Metrics, Footprint Analysis, Life-Cycle Assessment
    • Downscaling/Upscaling of Ecological Processes

Personal Interests

    PERSONAL INTERESTS AND HOBBIES
    • Nature (Hiking, Kayaking/Sailing)
    • Music (Jazz Trumpet, Classical Piano, Tahitian To’ere Drumming
    • World Music, Theatre and Dance, Astronomy

Websites

Books

Featured Title
Featured Title - Evaluating Climate Change Impacts_Lyubchich, Gel et al - 1st Edition book cover
Future Sustainable Ecosystems - 1st Edition book cover
Statistics in Action: A Canadian Outlook - 1st Edition book cover

Articles

Statistics in Action: A Canadian Outlook

Data Hungry Models in a Food Hungry World: An Interdisciplinary Challenge Bridge


Published: Mar 03, 2014 by Statistics in Action: A Canadian Outlook
Authors: Louis A. Kouadio and Nathaniel K. Newlands
Subjects: Agricultural Science, Geoscience, Statistics

Agriculture is an essential component of societal well-being. Feeding an increasing human population, expected to reach 9.3 billion in 2050. Forecast models of crop yield and production can help to better design risk averse market regulation, trade and policy strategies and instruments that have a higher success of achieving and sustaining global food security.

News

Using AI/Bayesian learning networks to forecast crop disease risk!

By: Nathaniel Kenneth Newlands
Subjects: Agricultural Science, Environmental Science, Statistics

Disease Risk Forecasting with Bayesian Learning Networks (Application to Grape Powdery Mildew in Vineyards) #mdpiagronomy
@MDPIOpenAccess
Special Issue: mdpi.com/journal/agrono