Precrop payoffs: causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets
Sign Up to like & getrecommendations! Published in 2025 at "Environmental Research Letters"
DOI: 10.1088/1748-9326/ae0f45
Abstract: Building sustainable food systems that are resilient to climate change will require improved agricultural management and policy. One common practice that is well-known to benefit crop yields is crop rotation, yet there remains limited understanding… read more here.
Keywords: benefits crop; causal machine; rotation; machine learning ... See more keywords
Causal machine learning for healthcare and precision medicine
Sign Up to like & getrecommendations! Published in 2022 at "Royal Society Open Science"
DOI: 10.1098/rsos.220638
Abstract: Causal machine learning (CML) has experienced increasing popularity in healthcare. Beyond the inherent capabilities of adding domain knowledge into learning systems, CML provides a complete toolset for investigating how a system would react to an… read more here.
Keywords: learning healthcare; causal machine; medicine; machine learning ... See more keywords
Applying Causal Machine Learning to Spatiotemporal Data Analysis: An Investigation of Opportunities and Challenges
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DOI: 10.1109/access.2025.3596680
Abstract: Traditional spatiotemporal data analysis often relies on predictive models that overlook causal relationships, making it difficult to identify true drivers and formulate effective interventions. To bridge this gap, we review causal machine learning (CML) techniques… read more here.
Keywords: causal machine; machine learning; spatiotemporal data; causal ... See more keywords
How causal machine learning can leverage marketing strategies: Assessing and improving the performance of a coupon campaign
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0278937
Abstract: We apply causal machine learning algorithms to assess the causal effect of a marketing intervention, namely a coupon campaign, on the sales of a retailer. Besides assessing the average impacts of different types of coupons,… read more here.
Keywords: marketing; coupon campaign; causal machine; machine learning ... See more keywords
Estimating heterogeneous impacts Of subsidised health insurance: A causal machine learning approach
Sign Up to like & getrecommendations! Published in 2025 at "PLOS One"
DOI: 10.1371/journal.pone.0315057
Abstract: The evaluation of social and health policies often necessitates understanding the variations in impacts based on recipients’ observed characteristics, underscoring the value of estimating treatment effect heterogeneity. In this study, we leverage predictive and causal… read more here.
Keywords: causal machine; health insurance; machine learning; estimating heterogeneous ... See more keywords