Anne J. Sietsma

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Jan C MinxMercator Research Institute on Global Commons and Climate ChangeVerified email at pik-potsdam.de
Max CallaghanMercator Research Institute on Global Commons and Climate ChangeVerified email at mcc-berlin.net
Alan DangourLondon School of Hygiene & Tropical MedicineVerified email at lshtm.ac.uk
Pauline ScheelbeekLondon School of Hygiene & Tropical MedicineVerified email at lshtm.ac.uk
Neal R. HaddawayHarper Adams University / FreelanceVerified email at harper-adams.ac.uk
Prof Lea Berrang-FordPriestley Research Chair, University of LeedsVerified email at leeds.ac.uk
Professor James D. FordPriestley International Centre for Climate, University of LeedsVerified email at leeds.ac.uk
Robbert BiesbroekAssociate Professor, Public Administration and Policy group, Wageningen University, the NetherlandsVerified email at wur.nl
Adelle ThomasVisiting Researcher, University of The BahamasVerified email at ub.edu.bs
Rick GroenendijkPhD CandidateVerified email at uva.nl
Carl SchleussnerClimate AnalyticsVerified email at climateanalytics.org
Ioannis N. AthanasiadisWageningen University and ResearchVerified email at wur.nl

Anne J. Sietsma

Postdoctoral Researcher, Wageningen University

Verified email at wur.nl - Homepage

Climate change adaptation evidence synthesis natural language processing


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Systematic mapping of global research on climate and health: a machine learning review L Berrang-Ford, AJ Sietsma, M Callaghan, JC Minx, PFD Scheelbeek, ... The Lancet Planetary Health 5 (8), e514-e525, 2021	126	2021
Progress in climate change adaptation research AJ Sietsma, JD Ford, MW Callaghan, JC Minx Environmental Research Letters 16 (5), 054038, 2021	70	2021
The effects on public health of climate change adaptation responses: a systematic review of evidence from low-and middle-income countries PFD Scheelbeek, AD Dangour, S Jarmul, G Turner, AJ Sietsma, JC Minx, ... Environmental Research Letters 16 (7), 073001, 2021	66	2021
Machine learning evidence map reveals global differences in adaptation action AJ Sietsma, E Theokritoff, R Biesbroek, I Villaverde Canosa, A Thomas, ... One Earth, 2024	3*	2024
The next generation of machine learning for tracking adaptation texts AJ Sietsma, JD Ford, JC Minx Nature Climate Change 14 (1), 31-39, 2024	3	2024
Progress on climate action: a multilingual machine learning analysis of the global stocktake AJ Sietsma, RW Groenendijk, R Biesbroek Climatic Change 176 (12), 173, 2023	3	2023
Mapping global research on climate and health using machine learning (a systematic evidence map)[version 1; peer review: 2 approved, 1 approved with reservations]. L Berrang-Ford, AJ Sietsma, M Callaghan, JC Minx, P Scheelbeek, ...	3*	2021
How do countries frame climate change? A global comparison of adaptation and mitigation in UNFCCC National Communications SJ Wright, A Sietsma, S Korswagen, IN Athanasiadis, R Biesbroek Regional Environmental Change 23 (4), 129, 2023	2	2023
Global Tracking of Climate Change Adaptation Policy Using Machine Learning: a Systematic Map Protocol AJ Sietsma, M Callaghan, R Biesbroek, E Theokritoff, A Thomas, ...	2	2022
Cross-Chapter Box FEASIB \| Feasibility Assessment of Adaptation Options: An Update of the SR1.5 D Ley, H Adams, M Araos, R Basu, A Bazaz, L Conte, K Davis, ... Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of …, 2022	2	2022
The First Generation of Machine Learning Applications for Tracking Climate Change Adaptation AJ Sietsma University of Leeds, 2023		2023

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