Decision-making in higher education and intercollegiate athletics: case study on the Big Ten Conference realignment

This study focuses on the decision-making institutional leaders use during the process of conference realignment at the Division I level. Intercollegiate athletics has existed within higher education for well over a century. Conflicting values and objectives have persisted between intercollegiate athletic departments and the institutions of higher education with which they are affiliated. The publicity an institution receives from intercollegiate athletics, however, is more than any academic achievement can provide, so how college presidents make decisions that involve intercollegiate athletics is critical to higher education. The literature reveals that the economic climate has little to no significant impact on institutions’ spending when it comes to intercollegiate athletics (Frank, 2004; Smith, 2008; Fisher, 2009). In fact, many institutions and athletic departments at the Division I level lose money every year (Knight Commission, 2010). Thus, if not financially, then how do decision-makers in higher education weigh the costs versus the perceived benefits when it comes to intercollegiate athletics? Intercollegiate athletics at the Division I level has recently seen a wave of change in conference memberships. Over a two and half year period (June 2010 to December 2012), 77 Division I institutions changed conference affiliations for either their entire athletic departments or at least their football programs. Traditionally, conference membership has been determined by geography and by shared institutional values and objectives, and so this high number of changes over a 30-month period is a departure from these traditions. Examining conference realignment sheds insight into the decision-making process institutional leaders use when analyzing the costs and benefits of intercollegiate athletics to higher education. Max Weber’s rational decision-making model (Weber 1956), which analyzed the cost-benefit value of alternatives as well as the extent to which the alternatives reflected shared cultural values and beliefs. This model evolved when March and Simon (1958) proposed the common model for rational decision-making, contending that actors enter into decision-making situations with known objectives and that the cost-benefit value for each of the alternatives is determined by those objectives. The actors gather information on alternative solutions and then select the optimal alternative. Chaffee (1983) suggested five criteria for examining the rational decision-making process. They are (1) values and objectives, (2) alternatives, (3) centralization of decision-making, (4) understanding of consequences, and (5) value maximizing choice. Chaffee’s criteria guided this case study on conference realignment in the Big Ten Conference. This study found that presidents identify values and objectives prior to making decisions of whether or not to realign and expand conference membership, and then they evaluate alternatives in terms of how well their institutions match Big Ten leaders’ stated values and objectives The affirmative decisions of the presidents studied resulted in increases in revenues and brands at each institution. This research contributes to the process of decision-making by leaders in intercollegiate athletics, particularly at the Division I level. From a broader scope, the results contribute to the rational decision-making model and the criteria used to test it

Comprehensive Pan-Genomic Characterization of Adrenocortical Carcinoma

SummaryWe describe a comprehensive genomic characterization of adrenocortical carcinoma (ACC). Using this dataset, we expand the catalogue of known ACC driver genes to include PRKAR1A, RPL22, TERF2, CCNE1, and NF1. Genome wide DNA copy-number analysis revealed frequent occurrence of massive DNA loss followed by whole-genome doubling (WGD), which was associated with aggressive clinical course, suggesting WGD is a hallmark of disease progression. Corroborating this hypothesis were increased TERT expression, decreased telomere length, and activation of cell-cycle programs. Integrated subtype analysis identified three ACC subtypes with distinct clinical outcome and molecular alterations which could be captured by a 68-CpG probe DNA-methylation signature, proposing a strategy for clinical stratification of patients based on molecular markers

The Somatic Genomic Landscape of Chromophobe Renal Cell Carcinoma

We describe the landscape of somatic genomic alterations of 66 chromophobe renal cell carcinomas (ChRCCs) based on multidimensional and comprehensive characterization, including mitochondrial DNA (mtDNA) and whole genome sequencing. The result is consistent that ChRCC originates from the distal nephron compared to other kidney cancers with more proximal origins. Combined mtDNA and gene expression analysis implicates changes in mitochondrial function as a component of the disease biology, while suggesting alternative roles for mtDNA mutations in cancers relying on oxidative phosphorylation. Genomic rearrangements lead to recurrent structural breakpoints within TERT promoter region, which correlates with highly elevated TERT expression and manifestation of kataegis, representing a mechanism of TERT up-regulation in cancer distinct from previously-observed amplifications and point mutations

Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin

Recent genomic analyses of pathologically-defined tumor types identify “within-a-tissue” disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head & neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multi-platform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All datasets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies

Evaluating the Web Design and Usability of Irwin Academic Center Website

unpublishednot peer reviewe