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Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement

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Bibliographic Details
Published in:Conservation Letters
Format: Online Article RSS Article
Published: 2026
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container_title Conservation Letters
description
discipline_display Environmental Sciences
discipline_facet Environmental Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:37119
institution FRELIP
journal_source_facet Conservation Letters
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
— — — — — Environmental Studies
Environmental Management
Environmental Sciences
sub_discipline_display Environmental Management
sub_discipline_facet Environmental Management
subject_display — — — — — Environmental Studies
Environmental Management
Environmental Sciences
— — — — — Environmental Studies
Environmental Management
Environmental Sciences
subject_facet — — — — — Environmental Studies
Environmental Management
Environmental Sciences
title Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
title_auth Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
title_full Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
title_fullStr Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
title_full_unstemmed Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
title_short Practical and Ethical Issues in Big Data and Machine Learning Forecasts of Zambian Community Forestry Engagement
title_sort practical and ethical issues in big data and machine learning forecasts of zambian community forestry engagement
topic — — — — — Environmental Studies
Environmental Management
Environmental Sciences
url https://conbio.onlinelibrary.wiley.com/doi/10.1111/con4.70022?af=R