Physical Sciences and Mathematics Commons^™

Big Data, Bigger Dilemmas: A Critical Review, Hamid Ekbia, Michael Mattioli, Inna Koupe, G. Arave, Ali Ghazinejad, Timothy Bowman, Venkatq R. Suri, Tsou Andrew, Scott Weingart, Cassidy R. Sugimoto

Articles by Maurer Faculty

The recent interest in Big Data has generated a broad range of new academic, corporate, and policy practices along with an evolving debate among its proponents, detractors, and skeptics. While the practices draw on a common set of tools, techniques, and technologies, most contributions to the debate come either from a particular disciplinary perspective or with a focus on a domain-specific issue. A close examination of these contributions reveals a set of common problematics that arise in various guises and in different places. It also demonstrates the need for a critical synthesis of the conceptual and practical dilemmas surrounding Big …

Using A Prediction Model In Forecasting Appeals, Paul A. Rake

IUSTITIA

Following the 1972 reorganization of the Indiana Court of Appeals into three panels serving defined geographical districts, the Court soon found itself floundering with too many unevenly distributed cases. Lacking a sufficient base of statistical data from which to formulate a plan to cope with the problem, various proposals, including redistricting the court, adding more judges, and developing a more sophisticated staff research, could not be measured for effectiveness or advisability.

In response to these problems, the Court developed a project to deal with the future caseload by constructing a regression model to predict appeals. This model generated estimates of …