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Willi Carlisle (Izard County, Arkansas)
Willi Carlisle is a folksinger and writer from the Ozark hills. He performs internationally at places like the Kennedy Center and the Ozark Folk Center and has spent many years living in an intentional community near Fox, Arkansas. With years of collecting folklore and playing/calling square dances, Willi is a multi-faceted writer, performer and instrumentalist. He plays banjo, accordion, fiddle and guitar, and has toured extensively and performed with Dom Flemons, Mary Gauthier, Los Texmaniacs, Cory Branan, Carson McHone, and more. Willi prefers to perform songs for the oldest reasons: love, heartache, and joy. His albums, Too Nice to Mean Much and To Tell You the Truth have garnered critical success.
Interviewed by Holly Hobbs, 09/04/2020.
To a remarkable extent, our understanding of the natural world is built from a small set of very deep ideas. I’ll try to give some sense for the nature of these ideas, for their power and scope. I will also try to explain what we mean by “understanding” in several different contexts, and why these successes give us (measured) confidence that more complex problems may yet yield to our search for understanding. Finally, I’ll say a few words about the cultural gaps that separate scientists who have mastery of these theoretical ideas from other scientists, from the generally educated public, and from the polity as a whole. It is not too much to claim that our future quality of life will depend, crucially, on our ability to bridge these gaps by teaching.
Experiments have uncovered many of the mechanisms at work in the machinery of life, but there still is no theoretical framework that ties these discoveries together. A hint about how to construct such a theory comes from the fact that many biological systems operate very near the limits of what the laws of physics allow: from bacteria navigating toward a source of food to the optics of an insect’s eye, from decision-making by cells in a developing embryo to aspects of human perception, important aspects of life’s mechanisms are nearly as good they can be, in a sense that physics makes precise. This proximity to perfection provides us with the ingredients for a theoretical physics of life, and I will explore this idea, hopefully providing an appreciation for some of life’s most striking and surprising phenomena.
Opening sessions of the Art, Race, Space Symposium, January 25, 2013, School of Liberal Arts, IUPUI, Indianapolis, Indiana. Recorded lectures include: "Welcome" by William Blomquist, "Introductory Remarks" by Modupe Labode, and "Inspirations: Musing on What Monuments, Memorials, Public Art, and Public Space, Inspire Me" by Fred Wilson. Symposium program sheet available from: https://hdl.handle.net/1805/31106.
1998 NSRC/SFSU Conference "Kinsey at 50" -- A gathering of contemporary luminaries in the field of sex research, discussing Kinsey's work 50 years on in society.
Digital technology is changing everything in our lives, including the ways in which we study, learn, teach, and create knowledge in the university. While these changes have been slower to come in the humanities, they are now well established and accelerating, with significant implications for teaching and research. What are the new opportunities afforded by the development of digital tools and platforms for humanists? What new fields of inquiry have opened for humanists as a result of the explosion of digital technology? And how should humanists understand and respond to the growing power and influence of the technical disciplines in shaping the priorities of the contemporary university?
Presented by Dr. William D. Adams, former head of the National Endowment for the Humanities, as part of the IU Institute for Digital Arts & Humanities 2017-18 Speaker Series, which had the theme "Making the Arts & Humanities."
William Deneen, Preston E. James, Ph.D, Syracuse University, Encyclopaedia Britannica Films
Summary:
See description for color version GC0944. Surveys life in Mexico in 1961 with its overshadowing influences of the past. Depicts Mexico as an old country with new ideas as the basis for cultural and economic extremes. Illustrates the rise of a middle class society as Mexico attempts development through educational and industrial means. Shows the vast extremes of native Indian villages with primitive open-air markets and methods of farming in contrast with modern manufacturing cities with beautiful parks, fine theaters, office buildings, and luxurious seaside resorts.
These lectures cover methods for obtaining visual displays of quantitative information. They discuss ways to, quite literally, look at data. This is important because graphical representations avoid some of the restrictive assumptions and simplistic models that are often encountered in empirical analyses. These methods are very useful in the social sciences, where the robustness characteristics of traditional statistical techniques often are pushed to their limits. The lectures focus primarily on introductory concepts and graphical displays for univariate data, then move on to graphs for bivariate, multivariate, and categorical data. The main objective is to help you learn to construct a pictorial abstraction that highlights the salient aspects of your data without distorting any features or imposing undue assumptions.
Would you like to draw pictures of your data in ways that reveal structures not obvious from inspection of the data values alone? Multidimensional scaling (MDS) can accomplish that objective. MDS produces a “map” of stimuli based on information about the “proximities” among them. The stimuli are any objects of interest to the researcher (e.g., presidential candidates for a political scientist, consumer products for a market researcher, occupations for a sociologist), and many types of information can be interpreted as proximities (e.g., correlations, similarity judgments, profile dissimilarities, etc.). MDS methods have many potential applications in empirical research. They can be used to simplify the contents of large complex datasets, model similarities among sets of objects, estimate the cognitive structures underlying survey responses, and optimize the measurement characteristics of qualitative observations. MDS can be generalized to show individual differences across distinct data sources (e.g., subsets of survey respondents or data collected at different time points), and can be adapted to represent respondent preferences among a set of stimuli (i.e., “ideal points” models). This workshop provides an introduction to MDS. It is intended for a general audience and does not assume prior experience with MDS or familiarity with advanced statistical methods beyond basic regression analysis. Specific topics to be covered include: The basic idea of MDS; the general estimation procedure; interpretation of results; different varieties of MDS; and software options for performing MDS analyses.
