Music, sounds, the Stradivarius and the computer: A dialogue between the music-maker and the music-listener

In what might be described as an 'ecological' spirit, here I recycle an ancient form, the dialogue. I find the dialogue form particularly appealing for its potential to encapsulate ideas both as content and form. This dialogue, between the music-maker and music-listener, is intended as an allegory that uses accessible language in a contemporary, conversational style. From an epistemological perspective, the split maker-listener may be viewed as a fabrication that subsumes numerous conflicts at personal, group and societal levels. The text is about creativity, freedom and ownership, about concept, percept and practice within multidisciplinary and multicultural contexts. It can be reconstructed in different ways when the music-maker and the music-listener are personified under a multitude of guises within multiple contexts. I have added a bibliographic list following the dialogue that includes some examples of the background reading that has helped to shape the thinking underlying the text. In particular, I have been deeply influenced by Gregory Bateson's writings, especially his 'metalogues', a collection of humorous, deceptively light dialogues that do not specify theatrical elements. I feel this lack of obvious affective content in the text allows readers to construe their own views of how the negotiation of discourses may take place, regardless of what I may have imagined or thought to have implied – or not – using a few italicised words

A Conversation with Alan Gelfand

Alan E. Gelfand was born April 17, 1945, in the Bronx, New York. He attended public grade schools and did his undergraduate work at what was then called City College of New York (CCNY, now CUNY), excelling at mathematics. He then surprised and saddened his mother by going all the way across the country to Stanford to graduate school, where he completed his dissertation in 1969 under the direction of Professor Herbert Solomon, making him an academic grandson of Herman Rubin and Harold Hotelling. Alan then accepted a faculty position at the University of Connecticut (UConn) where he was promoted to tenured associate professor in 1975 and to full professor in 1980. A few years later he became interested in decision theory, then empirical Bayes, which eventually led to the publication of Gelfand and Smith [J. Amer. Statist. Assoc. 85 (1990) 398-409], the paper that introduced the Gibbs sampler to most statisticians and revolutionized Bayesian computing. In the mid-1990s, Alan's interests turned strongly to spatial statistics, leading to fundamental contributions in spatially-varying coefficient models, coregionalization, and spatial boundary analysis (wombling). He spent 33 years on the faculty at UConn, retiring in 2002 to become the James B. Duke Professor of Statistics and Decision Sciences at Duke University, serving as chair from 2007-2012. At Duke, he has continued his work in spatial methodology while increasing his impact in the environmental sciences. To date, he has published over 260 papers and 6 books; he has also supervised 36 Ph.D. dissertations and 10 postdocs. This interview was done just prior to a conference of his family, academic descendants, and colleagues to celebrate his 70th birthday and his contributions to statistics which took place on April 19-22, 2015 at Duke University.Comment: Published at http://dx.doi.org/10.1214/15-STS521 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

Meeting Review: Airborne Aerosol Inlet Workshop

Proceedings from the Airborne Aerosol Inlet Workshop are presented. The two central topics of discussion were the role of aerosols in atmospheric processes and the difficulties in characterizing aerosols. The following topics were discussed during the working sessions: airborne observations to date; identification of inlet design issues; inlet modeling needs and directions; objectives for aircraft experiments; and future laboratory and wind tunnel studies

Stance-taking and public discussion in blogs.

Blogs, which can be written and read by anyone with a computer and an internet connection, would seem to expand the possibilities for engagement in public sphere debates. Indeed, blogs are full of the kind of vocabulary that suggests intense discussion. However, a closer look at the way this vocabulary is used in context suggests that the main concern of writers is selfpresentation, positioning themselves in a crowded forum, in what has been called stancetaking. When writers mark their stances, for instance by saying I think, they enact different ways of signalling a relation to others, marking disagreement, enacting surprise, andironicising previous contributions. All these moves are ways of presenting one’s own contribution as distinctive, showing one’s entitlement to a position. In this paper, I use concordance tools to identify strings that are very frequent in a corpus of blogs, relative to a general corpus of written texts, focus on those relatively frequent words that mark stance and analyse these markers in context. I argue that the prominence of stance-taking indicates the priority of individual positioning over collective and deliberative discussion

SMCTC : sequential Monte Carlo in C++

Sequential Monte Carlo methods are a very general class of Monte Carlo methods for sampling from sequences of distributions. Simple examples of these algorithms are used very widely in the tracking and signal processing literature. Recent developments illustrate that these techniques have much more general applicability, and can be applied very effectively to statistical inference problems. Unfortunately, these methods are often perceived as being computationally expensive and difficult to implement. This article seeks to address both of these problems. A C++ template class library for the efficient and convenient implementation of very general Sequential Monte Carlo algorithms is presented. Two example applications are provided: a simple particle filter for illustrative purposes and a state-of-the-art algorithm for rare event estimation

Envisioning a Compulsory-Licensing System for Digital Samples Through Emergent Technologies

Despite the rapid development of modern creative culture, federal copyright law has remained largely stable, steeped in decades of tradition and history. For the most part, copyright finds strength in its stability, surviving the rise of recorded music, software programs, and, perhaps the most disruptive technology of our generation, the internet. On the other hand, copyright’s resistance to change can be detrimental, as with digital sampling. Although sampling can be a highly creative practice, and although copyright purports to promote creativity, current copyright law often interferes with the practice of sampling. The result is a largely broken system: Those who can legally sample are usually able to do so because they are wealthy, influential, or both. Those who cannot legally sample often sample illegally. Many scholars have suggested statutory solutions to this problem. Arguably, the most workable solutions are rooted in compulsory licenses. Unfortunately, implementing these solutions is practically difficult. Two recent developments invite us to revisit these proposals. First, with the passage of the Music Modernization Act (“MMA”), Congress has evinced a willingness to “modernize” parts of copyright law. Second, emergent technologies—from the MMA’s musical-works database to blockchain to smart contracts—can be leveraged to more easily implement a compulsory-licensing solution. This time around, rather than simply discuss why this solution is favorable, this Note will focus on how it can be implemented

Barnes Hospital Bulletin

https://digitalcommons.wustl.edu/bjc_barnes_bulletin/1199/thumbnail.jp