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Aquatic Invasive Species (AIS) often have significant negative impacts on invaded ecosystems, making it important to be able to restrict their arrival via regulations or policies. Given the vast number of potential species to consider, scientifically defensible prioritization exercises are essential, especially those that integrate across the multiple impacts expected of AIS. Here we apply a new screening assessment tool, the Non-Indigenous Species Screening Tool (NISST), to identify higher risk species for five freshwater ecoregions in British Columbia. This modular tool is based on the invasion process including: Invasion Potential Ecological Impacts Socio-Economic Impacts Invasion Potential Ecological Impacts Socio-Economic Impacts The tool also incorporates assessor uncertainty and climate change considerations. Starting with a master list of >3200 species we applied a series of filters (i.e., a regional species of concern, general climate match, known vector/pathway, etc.) to reduce this number to 505 non-native species of interest including 252 fish, 173 plants, and 80 invertebrates. Higher risk species included a mix of taxonomic groups and both species that are already present and those without a known invasion history in British Columbia. Well known global AIS such as Cyprinus carpio (Common carp) and Dreissena polymorpha (Zebra mussel), also were higher risk for British Columbia but less well known species such as Cipangopaludina chinensis (Chinese mystery snail) and Lythrum virgatum (European wand loosestrife), also ranked high. Risk scores tended to be higher for the two ecoregions with warmer climate and greater human population density (a risk factor for anthropogenic introductions/movements) with some AIS expected to benefit from climate change, especially in the three northern ecoregions of British Columbia. Further, to inform early detection efforts and the development of management plans for higher risk species we conducted a literature review of possible early detection methods for both specific AIS and taxonomic groups. Perhaps not surprisingly for most higher risk species many early detection methods were traditional taxonomic-based surveys but increasingly molecular methods and other emerging techniques (e.g., robots) offer promise. This presentation will provide an overview of our approach, application of the tool, and identification of validated early detection methods. Since a number of higher risk species are associated with vectors that are not actively managed, results from our study also can be used to improve AIS regulations, policies and management decisions for emerging vectors like organisms in trade in addition to traditional ones like recreational boating.