fact that, conveniently enough, this arbitrary convention still left the first author slot to be occupied by the more (institutionally) senior member of the group. In spite of that, this paper would never had come to fruition if it was not for Dustin Stoltz's vision, perseverance, and hard work (especially when it comes to assembling the citation data) and as such he deserves special thanks. Dustin was the first one to "see" a paper where the first author just saw a set of smart points usable to impress students in a seminar context. Dustin herded all of the cats, and made the seemingly quixotic attempt to write a seven-authored theory piece seem like a breeze. Of course, it was the intellectual input of all authors that ultimately made the paper more than the sum of its separate parts although we will spare you tired emergence analogies.

Can cognitive neuroscience contribute to cultural sociology? We argue that it can, but to profit from such contributions requires developing coherent positions at the level of ontology and coherent epistemological views concerning interfield relations in science. In this paper, we carve out a coherent position that makes sense for cultural sociology based on Sperber's "infraindividualist" and Clark's "extended cognition" arguments. More substantively, we take on three canonical topics in cultural sociology: language, intersubjectivity, and associational links between elements, showing that the cognitive neurosciences can make conceptual and empirical contributions to the thinking of cultural sociologists in these areas. We conclude by outlining the opportunities for further development of work at the intersection of cultural sociology and the cognitive neurosciences.

The Synthetic Biology Knowledge System (SBKS) is an instance of the SynBioHub repository that includes text and data information that has been mined from papers published in ACS Synthetic Biology. This paper describes the SBKS curation framework that is being developed to construct the knowledge stored in this repository. The text mining pipeline performs automatic annotation of the articles using natural language processing techniques to identify salient content such as key terms, relationships between terms, and main topics. The data mining pipeline performs automatic annotation of the sequences extracted from the supplemental documents with the genetic parts used in them. Together these two pipelines link genetic parts to papers describing the context in which they are used. Ultimately, SBKS will reduce the time necessary for synthetic biologists to find the information necessary to complete their designs.

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