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Researchers and educators in humanities such as computational linguists, digital humanists, and those doing historical reconstructions are increasingly heavy users of computational and/or data resources. Many know about activities, working groups, and initiatives around the findable, accessible, interoperable, reusable (FAIR) principles and are a driving force for improving the sharing of data and software. However, it seems humanities researchers are less aware of the science gateways community and the end-to-end solutions that science gateways could provide, therefore lacking a driving force for adoption of this technology. This small-scale exploratory study will clarify some of the challenges and needs faced by computational researchers in the humanities that may explain their relatively low participation in the science gateways community. For this paper, we present the results of 19 interviews with seven women, 11 men, and one nonbinary individual from seven states and DC in the United States with a range of professional backgrounds and roles. [ABSTRACT FROM AUTHOR]

Overlaying Computer Science (CS) courses on top of inequitable schooling systems will not move us toward "CS for All." This paper prioritizes the perspectives of minoritized students enrolled in high school CS classrooms across a large, urban school district in the Western United States, to help inform how CS can truly be for all. This paper explores what student agency looks like while answering the research question "From the perspective of minoritized students historically underrepresented in computing, what makes a critical difference in their sense of agency in introductory CS high school classes?" Our research-practice partnership used qualitative data (including classroom observations, interviews, student artifacts, and video/photos) and surveys to surface the perspectives and visions of minoritized youth. The research describes what student agency looks like as youth – who have had no prior CS learning experiences – use CS as a tool to resist marginalization and dehumanizing school contexts, while declaring their own "rightful presence" in CS classrooms. Findings demonstrate the importance for CS curricula and pedagogy to center the lives of students in ways that are consequential for minoritized youth. This would support deeper engagement with content learning and student agency with computing. [ABSTRACT FROM AUTHOR]

The purpose of this research was to examine college students' conceptions of learning computer science and approaches to learning computer science and to examine the relationships among these two important constructs and possible moderating factors. Student data (N = 193) were collected using the conceptions of learning computer science and the approaches to learning computer science surveys at one public research institution in the southeastern United States. Data were analyzed with descriptive statistics, Confirmatory Factor Analysis models, internal consistency reliability, Pearson correlations, stepwise multiple regression models, and Multivariate Analysis of Variance models. The results suggest that college students most favorably employ a deep strategy approach for learning computer science in which prior knowledge is activated and meaningful learning strategies are used. College students appear to be more extrinsically motivated to learn computer science than intrinsically. Higher level learning conceptions are associated with a deep strategy approach to learning (e.g., Seeing in a new way) whereas low-level conceptions are associated with a surface strategy (e.g., Memorizing) approach to learning. Male college students have slightly higher conceptions of programming than their female counterparts. The findings are discussed and both limitations and delimitations of the study are enumerated. [ABSTRACT FROM AUTHOR]

Computer science (CS) education is plagued by a gender divide, with few girls and women participating in this high-status discipline. A proven strategy to broaden participation for girls and other underrepresented students interested in CS is the availability of teacher preparation that requires classroom teachers to grow their knowledge of CS content as well as the pedagogical practices that enhance inclusive learning opportunities for historically underrepresented students. This case study describes the design and impact of an Online Professional Development (PD) for CS teachers, a year-long PD program aimed at broadening participation in the United States. Using survey and observation data from more than 200 participants over three years in PD settings, this paper examines how the design of an online learning community model of PD provides an inclusive venue for teachers to examine their belief systems, develop inclusive pedagogical practices, and collectively transform the culture of CS classrooms to places that support all learners. Findings suggest that purposeful facilitation creates a transformative culture of "shared experience" whereby facilitators and groups of teachers engage in collaborative lesson planning and debriefing discussions, in both synchronous and asynchronous sessions. This case study can inform other online PD efforts aimed at broadening participation in computing. [ABSTRACT FROM AUTHOR]

In this case study, we model a planet's magnetic and gravitational fields using spherical harmonic functions. As an exercise, we analyze data on the Earth's magnetic field collected by NASA's MAGSAT spacecraft, and use it to derive a simple magnetic field model based on these spherical harmonic functions. The Web extra contains an ASCII text file of Magsat data, as mentioned in the article. [ABSTRACT FROM PUBLISHER]

Multiscale and multiphysics applications are now commonplace, and many researchers focus on combining existing models to construct new multiscale models. This concise review of multiscale applications and their source communities in the EU and US outlines differences and commonalities among approaches and identifies areas in which collaboration between disciplines could be particularly beneficial. Because different communities adopt very different approaches to constructing multiscale simulations, and simulations on a length scale of a few meters and a time scale of a few hours can be found in many multiscale research domains, communities might receive additional benefit from sharing methods that are geared towards these scales. The Web extra is the full literature list mentioned in the article. [ABSTRACT FROM PUBLISHER]

In this case study, we study a method for computing the position of an Earth-orbiting spacecraft as a function of time. As an exercise, we compute the position of John Glenn's Mercury spacecraft Friendship 7 as it orbited the Earth during the third flight of NASA's Mercury program. [ABSTRACT FROM PUBLISHER]

The Baker Hughes high-performance computing environment is deploying a three-tier approach to providing technical computing resources as an alternative to typical high-performance computing. Baker Hughes uses a complete spectrum of computer resources that break from the standards of high-density, dedicated resources. This environment is intended to provide a more flexible and efficient approach that is responsive to business needs. The design has been proven in production systems in the United States and the Russian Federation since the second quarter of 22001100 with multiple proprietary and in-house scientific applications. This paper will discuss a computing infrastructure that Baker Hughes has built to better adapt to meet changing requirements in high-performance computing. [ABSTRACT FROM AUTHOR]

Associate editor in chief, Steven Gottlieb, discusses a National Research Council report on "Future Directions for NSF Advanced Computing Infrastructure to Support US Science and Engineering in 2017-2020" and the current state of funding for the National Science Foundation. [ABSTRACT FROM AUTHOR]

If US agencies continue to steadily reduce scientific funding, how might it affect scientific work? [ABSTRACT FROM PUBLISHER]

Given its leading role in high-performance computing for modeling and simulation and its many experimental facilities, the US Department of Energy has a tremendous need for data-intensive science. Locating the challenges and commonalities among three case studies illuminates, in detail, the technical challenges involved in realizing data-intensive science. [ABSTRACT FROM PUBLISHER]

A new study explains why the days of obtaining performance increases due to higher processor speed are mostly over, and where we go from here. [ABSTRACT FROM PUBLISHER]

High-performance computing facilities in the US consume enormous amounts of electricity, cutting into research budgets and challenging efforts to reduce energy consumption and meet environmental goals. Facility designs that target efficiency greatly reduce energy demand. This case study describes strategies and technologies to achieve facility energy reductions through thoughtful design. [ABSTRACT FROM PUBLISHER]

The US Department of Defense Biotechnology High-Performance Computing Software Applications Institute for Force Health Protection develops state-of-the-art high-performance computing applications that accelerate biomedical research in the development of diagnostic assays, drugs, and vaccines. The BHSAI works together with DoD life scientists to develop and integrate HPC software applications into DoD biomedical research programs. [ABSTRACT FROM PUBLISHER]