Environmental Planning and Policy

Evidence-based policy, data science and scenario modelling to support sustainable decision-making across the public, private and voluntary sectors.

What we offer

Fera is in a unique position to combine academic research, big data, decision support modelling and information gathered from a host of qualitative and quantitative approaches to inform practical environmental solutions and policy decisions across the public and private sector.

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Policy advice and appraisal

We assess the likely impacts of policy decisions on agriculture, biodiversity and the wider environment, giving decision-makers the evidence they need to act with confidence.

Data science and modelling

We apply statistical analysis and mathematical modelling to large environmental datasets, developing predictive models and early warning systems for governments and business.

Climate adaptation support

We help governments and businesses extrapolate outcomes and scenarios to adapt to and mitigate the effects of climate change.

Flexible, multi-level approach

We work top-down and bottom-up, advising national governments and regional authorities, as well as individual farmers and local bodies.

Strong stakeholder relationships

We have a long track record of working alongside Defra, Natural England, the HSE, the European Commission, local authorities and private sector clients.

The scope of our work puts Fera in a unique position to advise at every level — from individual farm decisions to national policy. Our assessments and models show how land management choices can benefit both productivity and the environment simultaneously. We are investing heavily in data science and modelling, applying statistical analysis to big data on food and the environment to develop predictive tools and early warning systems that help governments and industry adapt to a changing world.

100+

Years of scientific heritage

100+

Peer-reviewed papers published per year

33

EU projects completed with 440+ partners

90K+

Samples tested and analysed per year

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