s:1514:"TI Bridging the research-implementation gap in IUCN Red List assessments 
AU Cazalis, V. 
AU Di, Marco, M. 
AU Butchart, S.H.M. 
AU Akçakaya, H.R. 
AU González-Suárez, M. 
AU Meyer, C. 
AU Clausnitzer, V. 
AU Böhm, M. 
AU Zizka, A. 
AU Cardoso, P. 
AU Schipper, A.M. 
AU Bachman, S.P. 
AU Young, B.E. 
AU Hoffmann, M. 
AU Benítez-López, A. 
AU Lucas, P.M. 
AU Pettorelli, N. 
AU Patoine, G. 
AU Pacifici, M. 
AU Jörger-Hickfang, T. 
AU Brooks, T.M. 
AU Rondinini, C. 
AU Hill, S.L.L. 
AU Visconti, P. 
AU Santini, L. 
AB The International Union for Conservation of Nature (IUCN) Red List of Threatened Species is central in biodiversity conservation, but insufficient resources hamper its long-term growth, updating, and consistency. Models or automated calculations can alleviate those challenges by providing standardised estimates required for assessments, or prioritising species for (re-)assessments. However, while numerous scientific papers have proposed such methods, few have been integrated into assessment practice, highlighting a critical research–implementation gap. We believe this gap can be bridged by fostering communication and collaboration between academic researchers and Red List practitioners, and by developing and maintaining user-friendly platforms to automate application of the methods. We propose that developing methods better encompassing Red List criteria, systems, and drivers is the next priority to support the Red List. © 2021 Elsevier Ltd 
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