No abstract

The past decade has seen an explosion of data science centers, institutes, and programs appearing across the U.S. as universities increasingly recognize the importance and promise of data science to university research and education. It has been, and continues to be, an exciting time. But there are systemic challenges faced by these initiatives in the context of the higher education system. Some, but not all, of these challenges center around funding. Campuses fortunate enough to receive initial funding, often as a result of philanthropy or private sector investment, have some measure of sustainability, especially if these funds are in the form of an endowment. However, at most smaller colleges and universities, or those without a lucrative alumnus or local industry investor, just getting started with very limited funding can be daunting. And yet, every school is facing the reality that to truly prepare their student body for the expectations of 21st century employers, they must find a way to incorporate core critical thinking and data-intensive skills into nearly every discipline. This call to action challenges traditional disciplinary silos and begs for new models of higher education. As data science initiatives attempt to breakdown old barriers, they each face a unique set of challenges due to their campus’ political, financial, and structural environments. Our consideration of these challenges and those we have faced directly ourselves lead us to recognize a set of global commonalities. We capture them here in the familiar Ten Simple Rules (TSR) format for simplicity, recognizing much more could be said.

Many studies cite no more than 80% incidence of hand tremor during withdrawal in known alcoholics, although this symptom is one of the diagnostic signs of addiction. We found that of 48 patients tested, hand tremor increased in 29 Ss after the application of a passive relaxation technique while it decreased in 28. It was found that MMPI data obtained for both groups fitted the inverted U curve in that the most distressed Ss tremored as little as did the least distressed originally, while the tremor increased in the high stress group after relaxation therapy while it decreased in the least stressed group. Implications for alcoholism research and theory were discussed, and the possible superiority of the CES to drug therapy for withdrawal was noted.