About Research Publications Grants Talks Roles Media

Evidence · AI · Conservation

Alec Christie

Reshaping how AI and biodiversity evidence interact to improve conservation decision-making.

Imperial College Research Fellow

Centre for Environmental Policy · Imperial College London

About

Alec Christie

I am an independent research fellow reshaping how Artificial Intelligence and biodiversity evidence interact to improve conservation decision-making.

I have a strong track record of leading interdisciplinary projects, securing competitive funding, and engaging with networks of policymakers and practitioners. My work spans AI evaluation and benchmarking, evidence synthesis, and the design of decision-support tools that put reliable evidence into the hands of conservation practitioners and policymakers.

I created the Conservation Evidence AI project, developing AI-assisted pipelines that reduce manual evidence-review times from years to weeks, and I am co-developing a Conservation Evidence Co-pilot to make evidence more accessible to end-users. I was nominated as one of ten Imperial applicants to the UKRI Future Leaders Fellowship.

2,472Citations
45Peer-reviewed papers
82Policy citations
£1.07MFunding as PI

Education

  • PG Certificate, Teaching & Learning in Higher Education — University of Cambridge (2023)
  • PhD Zoology — University of Cambridge (2021) · Biases & consistencies in the evidence for conservation
  • BSc (Hons) Marine Biology — University of St Andrews, First Class (2017)

Research & Positions

2024 — present

Imperial College Research Fellow

Centre for Environmental Policy, Imperial College London

Awarded a highly competitive fellowship to lead independent research on using AI to improve evidence use in conservation. Leading evaluations of how Large Language Models answer practitioners' questions on conservation interventions, and co-developing a Conservation Evidence Co-pilot. Co-lead for the People & Nature research cluster. Nominated as one of 10 Imperial applicants to the UKRI Future Leaders Fellowship.

2021 — 2024

Henslow Research Fellow

Downing College, University of Cambridge

Established an independent project on combining diverse evidence and using AI to accelerate evidence synthesis. Creator of the Conservation Evidence AI project, securing several major grants and building an AI-assisted pipeline that identifies relevant studies and reduces manual review from years to weeks. Co-designed the Evidence-to-Decision tool with 15+ Evidence Champion organisations.

2021

Postdoctoral Research Associate

BioRISC, University of Cambridge

Developed dynamic meta-analysis methods for interactively presenting evidence via a web-based decision-support tool that informed the Chinese Government's invasive plant control strategy.

Ongoing

Further roles

Cambridge · Open University

Visiting Researcher, Conservation Evidence (Cambridge); Associate Lecturer, Ecosystems (S397), The Open University; Bye-Fellow, Downing College. Co-convened Imperial's MSc Conservation Science & Practice (2022–24).

Selected Publications

A selection of 25 papers. * denotes lead, senior, or corresponding author. Full list on Google Scholar.

  1. 25Christie, A.P. et al. Temporal and spatial trends in the study designs used to understand what works in conservation. J Appl Ecol, Accepted (2026).
  2. 24Taylor, N.T. et al. On the evidence for evidence-based conservation. Ecol Solutions Evidence 7, e70255 (2026).
  3. 23Christie, A.P. et al. Evidence-based practice is spreading but still limited in conservation and environmental management. Ecol Solutions Evidence 7, e70235 (2026).
  4. 22González-Suárez, M. et al. Conservation evidence is biased but can support decision-making for prevalent and severe threats in tetrapods. J Appl Ecol 63, e70337 (2026).
  5. 21Webb, J.A. et al. A Standardized Definition of Rapid Evidence Assessment for Environmental Applications. Conserv Lett 19, e70005 (2026).
  6. 20Jaffer, S. et al. AI-assisted Living Evidence Databases for Conservation Science. Cambridge Open Engage (2025).
  7. 19Anjan, A. et al. The spatial distribution of tests of conservation interventions does not align with global conservation needs. Biol Conserv 309, 111313 (2025).
  8. 18Madhavapeddy, A. et al. Steps towards an Ecology for the Internet. In Proceedings of the sixth decennial Aarhus conference (ACM, 2025).
  9. 17Reynolds, S.A. et al. Will AI speed up literature reviews or derail them entirely? Nature 643, 329–331 (2025).
  10. 16Christie, A.P. et al. The impact and return-on-investment of evidence-based practice in conservation and environmental management. PLOS ONE 20, e0326521 (2025).
  11. 15Iyer, R. et al. Careful design of Large Language Model pipelines enables expert-level retrieval of evidence-based information. PLOS ONE 20, e0323563 (2025).
  12. 14Speight, O. et al. Exploring gaps, biases, and research priorities in the evidence for reptile conservation actions. Conserv Biol 39, e70073 (2025).
  13. 13Hordern, E. et al. Prioritizing future evidence needs for marine and freshwater mammal conservation action. Anim Conserv 28, 542–552 (2025).
  14. 12Martin, P.A. et al. Flexible synthesis can deliver more tailored and timely evidence for research and policy. PNAS 120, e2221911120 (2023).
  15. 11Christie, A.P. et al. Assessing diverse evidence to improve conservation decision-making. Conserv Sci Pract 5, e13024 (2023).
  16. 10Smith, R.K. et al. Co-designing a toolkit for evidence-based decision making in conservation. Ecol Solutions Evidence 4, e12269 (2023).
  17. 9Miller, J. et al. Parachute conservation: Investigating trends in international research. Conserv Lett 16, e12947 (2023).
  18. 8Christie, A.P. et al. A practical conservation tool to combine diverse types of evidence for transparent evidence-based decision-making. Conserv Sci Pract 4, e579 (2022).
  19. 7Christie, A.P. et al. Reducing publication delay to improve the efficiency and impact of conservation science. PeerJ 9, e12245 (2021).
  20. 6Amano, T. et al. Tapping into non-English-language science for the conservation of global biodiversity. PLOS Biol 19, e3001296 (2021).
  21. 5Shackelford, G.E. et al. Dynamic meta-analysis: a method of using global evidence for local decision making. BMC Biol 19, 33 (2021).
  22. 4Christie, A.P. et al. The challenge of biased evidence in conservation. Conserv Biol 35, 249–262 (2021).
  23. 3Christie, A.P. et al. Quantifying and addressing the prevalence and bias of study designs in the environmental and social sciences. Nat Commun 11, 6377 (2020).
  24. 2Christie, A.P. et al. Poor availability of context-specific evidence hampers decision-making in conservation. Biol Conserv 248, 108666 (2020).
  25. 1Christie, A.P. et al. Simple study designs in ecology produce inaccurate estimates of biodiversity responses. J Appl Ecol 56, 2742–2754 (2019).

Grants & Contracts

Total funding as PI: £1,068,000 · as Co-I: £155,000.

2025

AI@Cam AI-DEAS Sprint Co-I

Conservation Co-pilot to improve access to evidence, with Cambridge Centre for Science and Policy.

1 yr
2024

Imperial College Research Fellowship PI

AI to mobilise global and local knowledge for better conservation decisions.

4 yr
2024

Fondation Hans Wilsdorf Co-I

AI-assisted pipelines and Co-pilot tools for Conservation Evidence.

2 yr
2024

AI@Cam AI-DEAS Seed PI

AI for Climate & Nature: LLM pipelines to collate conservation evidence.

2 yr
2024

IRC Small Grants for Impact PI

Two workshops: One Health Surveillance & AI; Embedding Conservation Evidence Use.

3 mo
2024

CCI Collaborative Fund Co-I

Prototype tool to standardise outcomes of invasive species interventions globally.

1 yr
2022

CEFAS OneFood Project Co-I

Scoping climate risk assessment methods for food systems.

9 mo
2022

EPSRC Small Grants Co-I

App to collate local knowledge on climate mitigation actions in Bangladesh.

6 mo
2021

Henslow Junior Research Fellowship PI

Assessing Global Evidence for Local Conservation Decisions.

3 yr
2017

NERC ESS DTP Studentship PI

Fully funded PhD studentship on evidence gaps and biases in conservation.

3.5 yr
2017

Vice-Chancellor's Award, Cambridge Trust PI

Honorary full PhD scholarship for outstanding undergraduate performance.

3 yr

Invited Talks & Panels

AI & Biodiversity Conservation

  • UK Government & Civil Service — DSIT, Government Office for Science, Civil Service STAR Network, Houses of Parliament 2025–26
  • Nesta PolicyOS workshop — Harnessing AI to Improve Policymaking, London, 50+ 2025
  • Entente CordIAle workshop — Anglo-French AI collaboration, Cambridge, 50+ 2025
  • Conservation Optimism Summit — Oxford, 100+ 2024
  • WildLabs Conservation Tech Variety Hour — online, 40+ 2024
  • AI for Science Summit — Cambridge, 50+ 2023

Evidence-based Conservation & Policy

  • UK POST Policy Brief roundtable — Evidence for Nature Recovery 2026
  • Effectiveness Revolution in Conservation Summit — Cambridge, 100+ 2024
  • Endangered Landscapes Programme — impact evaluation workshop, online, 20+ 2022
  • Wildlife Trusts Evidence Emergency workshop — online, 50+ 2021
  • International Congress on Conservation Biology — Future of Conservation symposium panel 2021

Roles, Service & Esteem

Editorial

  • Associate Editor & Research Highlights Editor, Journal of Applied Ecology (2026–)
  • Peer-reviewer for 12 journals (25+ papers, 2021–)

Grant Review

  • NERC Peer Review College (2026–)
  • British Ecological Society Review College (2025–)
  • Daphne Jackson Trust Fellowships (2024–)

Expert & Advisory

  • EKLIPSE Expert Working Group — Biodiversity & Pandemics report for the EU (2022–23)
  • Conservation Evidence Advisory Board — Coral Conservation Synopsis (2022–24)

Awards

  • Cambridge VC Award for Research Impact & Engagement (2023)
  • Best Horizon Scan Talk, Cambridge Science & Policy Forum (2021)
  • 2nd place, Doctoral Researcher Awards (2021)
  • 25+ doctoral & undergraduate prizes (2013–20)

Authorship

  • Co-author of four chapters in Transforming Conservation: A Practical Guide to Evidence & Decision Making (2022) — Highly Commended, CIEEM Best Practice in Knowledge Sharing Award

Teaching

  • Co-convened Imperial's MSc Conservation Science & Practice (2022–24)
  • Supervised 8 MSc & 13 undergraduate projects; helped 6 students publish peer-reviewed papers

Media & Writing

Imperial News

AI evidence pipelines could offer reliable support for conservation decisions

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Imperial CEP Blog

AI assistants to transform conservation responsibly: supercharging evidence into action

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Nature

Will AI speed up literature reviews or derail them entirely?

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Beyond research

Bellringer, wildlife photographer and gardener. Keen on hiking, orienteering, running, kayaking and diving — and once appeared on ITV's The Chase.