AIandGlobalDevelopmentLab/causalimages-software
causalimages: An R package for performing causal inference with image and image sequence data
This tool helps researchers in social science and biomedical fields analyze cause-and-effect relationships using images or image sequences. You provide your image data (like satellite images or diagnostic scans) along with information about treatments and outcomes. The package then helps you understand which images or parts of images are most responsive to an intervention or how images might be confounding your study. It's for scientists and analysts who work with visual data and need to draw robust causal conclusions.
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Use this if you need to determine how an intervention's effect varies across different types of images or if you want to control for confounding factors present in image data when studying cause and effect.
Not ideal if your research does not involve image or video data, or if you are not performing causal inference.
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Jul 21, 2025
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