Art Curriculum in Partnership with Canadian Physics Lab

Leonardo ◽  
2015 ◽  
Vol 48 (5) ◽  
pp. 472-473 ◽  
Author(s):  
Ingrid Koenig

When art students at Emily Carr University take a hybrid humanities/studio class with a scientific theme, they are challenged to materially transform abstract concepts. Students interact with physicists and make work on site at TRIUMF, Canada’s National Laboratory for Particle and Nuclear Physics. Strategies for art and science partnership models are tested in a curricular Transformation Art Lab as well as the RAW DATA project, where students view studio faculty struggling with similar challenges.

2009 ◽  
Vol 78 (12) ◽  
pp. 1145-1152
Author(s):  
Mark A Stoyer ◽  
L E Ahle ◽  
J A Becker ◽  
L A Bernshein ◽  
D L Bleuel ◽  
...  

2002 ◽  
Vol 12 (3) ◽  
pp. 4-12 ◽  
Author(s):  
C. Baktash ◽  
J. Beene ◽  
V. Cianciolo ◽  
D. J. Dean ◽  
C. Gross ◽  
...  

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Dinesh Kumar

In present studies mental anxiety was studied between art and science students. A group of 80 students was taken in which there were 40 girls and 40 boys and each group included from both art and science students. 20 subjects were taken in each treatment and each subject was treated individually. Two ways ANOVA was applied on the data obtained. The mean of art students and science students were calculated. The anxiety of Science students was found to be more as compared to Arts students.


Author(s):  
Levente Hajdu ◽  
Jérôme Lauret ◽  
Radomir A. Mihajlović

In this chapter, the authors discuss issues surrounding High Performance Computing (HPC)-driven science on the example of Peta science Monte Carlo experiments conducted at the Brookhaven National Laboratory (BNL), one of the US Department of Energy (DOE) High Energy and Nuclear Physics (HENP) research sites. BNL, hosting the only remaining US-based HENP experiments and apparatus, seem appropriate to study the nature of the High-Throughput Computing (HTC) hungry experiments and short historical development of the HPC technology used in such experiments. The development of parallel processors, multiprocessor systems, custom clusters, supercomputers, networked super systems, and hierarchical parallelisms are presented in an evolutionary manner. Coarse grained, rigid Grid system parallelism is contrasted by cloud computing, which is classified within this chapter as flexible and fine grained soft system parallelism. In the process of evaluating various high performance computing options, a clear distinction between high availability-bound enterprise and high scalability-bound scientific computing is made. This distinction is used to further differentiate cloud from the pre-cloud computing technologies and fit cloud computing better into the scientific HPC.


2008 ◽  
Vol 38 (4) ◽  
pp. 535-568 ◽  
Author(s):  
Robert P. Crease

The Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory was the first facility to move the subfield of nuclear physics into the relativistic (very high-energy) regime. From the time of its formal proposal in 1984 to the start of its operation in 2000, it anchored a profound reconfiguration of Brookhaven's mission. This article analyzes the process by which RHIC came to seem the best solution to a problem thrust upon the Brookhaven laboratory administration by the planning and funding demands of the early 1980s, which required creative reconfiguration of resources and programs from long-established national laboratories accustomed to pursuing particular kinds of science. The RHIC story is an example of "recombinant science," as Catherine Westfall has labeled it, which does not occur as a natural outgrowth of previous research. In the recombinant science that gave birth to RHIC, the ends as well as the means arose as the result of contingencies and convergences that required researchers from multiple subfields to adapt their intentions and methods, sometimes awkwardly. Against a backdrop of limited budgets, increasing oversight, and competitive claims from other labs and projects, this case study illustrates how many strands had to come together simultaneously in RHIC, including changes in theoretical interest, experimental developments, and the existence of hardware assets---plus leadership and several lucky breaks.


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