Acknowledgments This poster is made possible in part by a grant from the U.S. Institute of Museum and Library Services (IMLS), Laura Bush 21st Century Librarian Program Grant Number RE-05-12-0054-12, Developing a Model for Sociotechnical Data Analytics (SODA) Education. Conclusions The optimal settings for a given modeling problem are data dependent so optimal parameter settings cannot be known a priori. An exhaustive search of the parameter space is difficult. The parameter space is so large

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... at no single researcher can explore all possible settings. Hence, better curation of the dataset and its resulting models is needed.