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 Phylogenetics: The tree of life - The BioSynC is interested in hosting working groups that want to explore the linking of taxonomic and phylogenetic databases, and examine ways in which the tree of life may be used to discover and illustrate trends in the evolution of biodiversity. Tree visualization, phylogeny browsers and computational tools for phyloinformatics are areas of special interest.
 Biogeography: Biodiversity in space and time - The BioSynC invites participation from groups that are developing new tools for biodiversity mapping, including integration of biogeographic data using the EOL platform. Examples include exploration of the integration of biodiversity hot spot maps, museum specimen data, global geologic history, environmental variables, and ecosystem threats in new ways.
 Taxonomy of Megadiverse groups: discovering and describing biodiversity - The synthesis of specimen data and taxonomic information for large, diverse yet understudied or problematic groups of organisms is a key priority for the Encyclopedia of Life and for the BioSynC. BioSynC is interested in convening large groups of biologists to consider the EOL content and the integration of biodiversity data for megadiverse groups of organisms.
 Conservation of biodiversity - Synthesis meetings targeted towards developing a deeper understanding of biodiversity conservation and preservation methods are encouraged. Integration of biogeography, phylogenetics, conservation genetics and genomics, with policy and identification of critical areas is encouraged.
High performance computing, data mining, linguistics, and biosemantics - Many questions in biodiversity require analysis and visualization tools that are only available with high performance computational approaches (supercomputers).  The BioSynC welcomes synthesis groups developing computational tools for large biological data sets, aims to utilize the resources of the EOL to promote exploration of themes such as data mining approaches for patterns in biodiversity information, linguistic exploration of biodiversity literature and species names, and textual mining to reveal networks of relationships among biodiversity themes and explore the sociology of biodiversity research.
Continue to Funding and Facilities >>
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