A Model Driven Data Mining System for Studying Environmental Impact of Nanomaterials

As more and more engineered nanomaterials (NM) have been developed for military usage, it is crucial to minimize any unintended environmental impacts (NEI) resulting from the application of manufactured NM. NEI risk assessment models, whether conceptual or predictive in nature, will give decision-makers the tools to grapple with the nearly infinite forms of possible NM, as well as explore the effects of various risk mitigation strategies. IAI proposes to develop a Model driven Data Mining System for studying Environmental Impact of Nanomaterials, namely NEIMiner (Nano Environmental Impact Miner). NEIMiner consists of four components. First, the conceptual model of environmental impact of nanomaterials adopts the framework of consortium modeling with a critical subset of models focused on exposure to NM and their bioavailability in the environment. Second, a CMS based information system is proposed to collect, store, manage, and search all the multi-modal data in an integrated system. Third, the data mining process based on IAI’s ABMiner is proposed to discover models for the modeling framework. Fourth, the model composition is proposed to build complex models.