Pattern Discovery for climate and environmental policy indicators

• A review of country-level environmental policy indicators and proxies. Analysis the impediments to constructing transforming for researchers, policy-makers, investors. Novel bridging machine-enhanced methods with policy. New research avenues are opened up drive more effective feedback. Quantitative useful modeling impact on economy. They can be important tools companies, investors, researchers alike. Well-crafted policies lead cleaner environments whilst encouraging innovative behaviour stimulate green growth ‘win-wins’ economy environment. Such win-win increasingly sought out by policymakers, evidenced in growing number 'new deals' 'net zero' carbon emissions pledges at a national level. But there is gap between needs data supply reliable indexes. This disconnect has negative consequences feedback as well inducement potential innovators technologies. While now wide range indexes, these largely remain inadequate various reasons. disappointing considering immense progress that been made machine learning pattern discovery methods—methods already fully deployed other disciplines. automated techniques limit human biases which currently plague indicator’s scholarship. Against this backdrop, main objective paper highlight how carefully collect augment effectiveness indicators. an area that, apart from handful studies, not sufficiently developed.