iiinova — where your digital self keeps evolving

Reposted by @alecchristie.bsky.social

Phil Martin @philmartin.bsky.social · 28/09/2026

I'm super excited & proud to share our latest paper with you all, published today in @jappliedecology.bsky.social! The team put together a systematic map on the factors impacting the use of scientific evidence in biodiversity conservation decision making. (1/12) tinyurl.com/3c6x6vca

tinyurl.com

Factors influencing the use of scientific evidence in conservation practice and policy: Insights from a systematic map

Researchers should move from characterising factors impacting scientific evidence use to identifying and testing interventions to facilitate its use by conservation decision makers. Since these facto....

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alecchristie.bsky.social @alecchristie.bsky.social · 28/04/2026

It was a pleasure to contribute to Helen's amazing book! Great to see the hard work of so many on collating and getting evidence used and embedded in policy and practice recognised so thoughtfully and insightfully. @ic-cep.bsky.social @imperialcollegeldn.bsky.social

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alecchristie.bsky.social @alecchristie.bsky.social · 13/04/2026

If you are involved in developing or evaluating AI models, do take part in this Delphi process to help define consensus standards on AI evaluation practices. Quite easy to do and can stop and start as you like - see link below! The Evaluation Consensus project: evals-consensus.ai#participate-...

evals-consensus.ai

Evals-Consensus.AI — Building Consensus on AI Evaluation Practices

A cross-sector initiative to establish community-endorsed guidance for conducting and reporting high-quality AI evaluations. Creating shared standards through expert consensus.

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