NJRisk: Development of an Integrated Computational Tool to Support Prioritization of Chemicals of Emerging Concern: Research Project Summary

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dc.contributor.authorGeorgopoulos, Panos G.
dc.contributor.authorMueller, Robert
dc.date.accessioned2020-10-29T16:52:17Z
dc.date.available2020-10-29T16:52:17Z
dc.date.issued2019-10
dc.description.abstractThe objective of the NJRisk project is to develop, test, and deploy an integrated tiered system coupling computational platforms to support prioritization of Chemicals of Current and of Emerging Concern for assessment by the NJDEP. A nine-month pilot study was conducted from July 2013 to March 2014 in order to complete the necessary groundwork for the subsequent implementation. The full study, which began in April 2014, uses two operational computational platforms for hazard and exposure ranking, METIS (Metanomics Information System), developed by DuPont, and PRoTEGE (Prioritization and Ranking of Toxic Exposures with GIS Extension), developed by the Computational Chemodynamics Laboratory of the Environmental and Occupational Health Sciences Institute (EOHSI), respectively. This effort also takes advantage of, and incorporates in the development of the new system, current and anticipated outcomes of ongoing efforts by federal agencies, such as the USEPA. The goal is to implement an integrated software platform or “tool” (NJRisk) that will allow users to assess both hazard and exposure potentials of chemicals that are found (or could be introduced) in the New Jersey environment and/or biota, and to prioritize these chemicals for regulatory action based on tiered risk analysis.en_US
dc.identifier.urihttps://hdl.handle.net/10929/68529
dc.language.isoen_USen_US
dc.relation.ispartofseriesResearch Project Summary;
dc.subjectNJRisken_US
dc.subjectHealth risk assessmenten_US
dc.subjectChemicals of Emerging Concernen_US
dc.titleNJRisk: Development of an Integrated Computational Tool to Support Prioritization of Chemicals of Emerging Concern: Research Project Summaryen_US
dc.typeOtheren_US

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