Social scientists and data analysts are increasingly making use of Big Data in their analyses. These data sets are often “found data” arising from purely observational sources rather than data derived under strict rules of a statistically designed experiment. However, since these large data sets easily meet the sample size requirements of most statistical procedures, they give analysts a false sense of security as they proceed to focus on employing traditional statistical methods. We explain how most analyses performed on Big (...) Data today lead to “precisely inaccurate” results that hide biases in the data but are easily overlooked due to the enhanced significance of the results created by the data size. Before any analyses are performed on large data sets, we recommend employing a simple data segmentation technique to control for some major components of observational data biases. These segments will help to improve the accuracy of the results. (shrink)

Due to investments in interdisciplinary research endeavors, the number and variety of interdisciplinary research centers have grown exponentially during the past decades. While interdisciplinary research centers rely on varied organizational arrangements, we know little about the conditions and processes that mediate collaborative arrangements and interdisciplinary research outcomes. This study examines how different collaborative arrangements shape scholars’ experiences of interdisciplinary research and understandings of interdisciplinary knowledge culminations in the context of university-based research centers. We conducted three in-depth qualitative case studies on (...) different centers, which recruited researchers from natural sciences, medicine, and social sciences. We refer to them as the Biotech Center, the Environmental Center, and the Premature Birth Center. Our analysis of 53 interviews with interdisciplinary scholars across the three centers demonstrates that the scholars perceive particular features of the centers’ collaborative arrangements as meaningful for interdisciplinary collaboration. Specifically, the center’s mission, physical architecture, and leadership and task structure were seen as affecting scholars’ motivation, interaction, and inclusion in the centers, which then shaped the interdisciplinary knowledge culminations. At the Biotech Center, knowledge was translated towards concrete products, at the Environmental Center knowledge was pooled together from varied fields to create new problem framings, and at the Premature Birth Center, interdisciplinary collaboration was crafted through top-down knowledge brokerage. (shrink)