Conservation Decisions

We are decision scientists solving pressing local to global environmental challenges, while accounting for limited resources, uncertainties and the multiple values of society. We use multi-disciplinary tools to understand stakeholders’ values, connect these with the best available information and provide quantitative analyses to support desired decision outcomes for biodiversity, ecosystems and people.

Making better biodiversity conservation decisions

Iadine Chades

Principal Research Scientist, Artificial Intelligence, optimisation, adaptive management, network theory, expert elicitation, conservation, epidemiology, value of information

Sam Nicol

Senior Research Scientist, Applied mathematics, structured decision making, decision science, population modelling, expert elicitation, risk analysis, optimisation, adaptive management

Ponce-Reyes, Rocio

Research Scientist, Spatial analysis, species distribution modelling, structured decision making, stakeholder engagement, sustainability of food production industries (e.g. edible insect industry)

Josie Carwardine

Research Scientist, Conservation planning, cost-effectiveness analysis, multi-objective and cross-cultural prioritisation, problem structuring and decision making, strategy and policy review

Jonathan Ferrer-Mestres

Postdoctoral Fellow, Artificial intelligence, adaptive management, optimisation, machine learning and decision making

Luz Pascal

Honours Student ENSTA (Chades), Optimal selection of Adaptive management conservation actions

Mula Laguna, Juan

PhD Student James Cook University (Chades), Value of information for ecological and, conservation decisions

Nga-Yee Lai

PhD Student University of Queensland (Nicol), Migratory waterbird modelling, conservation decision-making for waterbirds

We enable a world that accounts for biodiversity and other ecological values in relevant decision-making processes by providing quantitative analysis to informs decisions that maximise positive outcomes for nature and people.