Conservation and Uncertainty

Conservation and Uncertainty Conservation and Uncertainty Conservation and Uncertainty

Conservation and Uncertainty

Conservation and Uncertainty Conservation and Uncertainty Conservation and Uncertainty
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Reducing the guesswork

Welcome to Data-Driven Conservation Decision-making

Welcome to Data-Driven Conservation Decision-makingWelcome to Data-Driven Conservation Decision-makingWelcome to Data-Driven Conservation Decision-making

Reducing the guesswork

Welcome to Data-Driven Conservation Decision-making

Welcome to Data-Driven Conservation Decision-makingWelcome to Data-Driven Conservation Decision-makingWelcome to Data-Driven Conservation Decision-making

What we do well

Decision-making insights

Our goal is to help your organisation achieve better conservation outcomes. CJ wants to push for data-driven decision making in environmental conservation and threatened species management, with a particular focus on ecological data modelling, economic cost-benefit analyses, uncertainty analysis and the value of incorporating better quality information.

Island Management Specialist

Conservation management strategies have management target outcomes and respective action plans (a set of management activities of the threat or threatened species to achieve target outcomes). With the competing needs of threatened species management on Norfolk Island, it is imperative to make informed decisions on park-level management programs, with a clear understanding of the impacts of decisions relating to these programs on the budget required for delivery.


We are currently working very closely with Parks Australia to improve conservation decision-making that surrounds threatened species management on Norfolk Island. We are building a decision-support tool with the aim to answer how management costs, threats and target outcomes (values/threatened species) will vary when management actions are altered. This will assist the Norfolk Island National Park staff to make informed decisions on park-level management programs, with a clear understanding of the impacts of decisions relating to these programs on the budget required for delivery, the target outcomes, and the threats to be managed. 

Explore the prototype

Multi-disciplinary experience

CJ who is the team leader has a diverse experience in the financial and ecological environment. He qualified as an associate actuary within the first few years of his career while working as a consultant at PricewaterhouseCoopers, involving statistical and probabilistic modelling to produce reliable data-driven forecasts. He then pivoted to a financial and customer data analyst at Commonwealth Bank of Australia that involves customer segmentation, market analysis, and financial models. He retrained as a biologist, completing his Masters of Research and worked on two data-intensive projects involving algorithms to derive a relationship between dive behaviour and health conditions of Weddell seals in Antarctica and determining genomic adaptation of damselflies in a range-expansion in Sweden. After completion of his masters, he then worked on a NESP project on building cost models to estimate threat management across Australia, and more recently was responsible for the cost estimation for the budget of the 5-year threatened species recovery plan for Norfolk Island. He is now completing his PhD in environmental economics and ecological data modelling with a focus on uncertainty analysis  at the University of Western Australia. 

Meet the rest of our team

Contact Us

Life is too digital these days

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Data-driven Environmental Science

Sydney, New South Wales, Australia

+614 0508 3581 cj.yong.info@gmail.com

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