13,439 research outputs found
Research and Education in Computational Science and Engineering
Over the past two decades the field of computational science and engineering
(CSE) has penetrated both basic and applied research in academia, industry, and
laboratories to advance discovery, optimize systems, support decision-makers,
and educate the scientific and engineering workforce. Informed by centuries of
theory and experiment, CSE performs computational experiments to answer
questions that neither theory nor experiment alone is equipped to answer. CSE
provides scientists and engineers of all persuasions with algorithmic
inventions and software systems that transcend disciplines and scales. Carried
on a wave of digital technology, CSE brings the power of parallelism to bear on
troves of data. Mathematics-based advanced computing has become a prevalent
means of discovery and innovation in essentially all areas of science,
engineering, technology, and society; and the CSE community is at the core of
this transformation. However, a combination of disruptive
developments---including the architectural complexity of extreme-scale
computing, the data revolution that engulfs the planet, and the specialization
required to follow the applications to new frontiers---is redefining the scope
and reach of the CSE endeavor. This report describes the rapid expansion of CSE
and the challenges to sustaining its bold advances. The report also presents
strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie
Pair Analytics in a Visual Analytics Context
This case study details the development of âpair analyticsâ as practical approach to applied analysis and as a scientific research method. The hybrid research project itself was part of a larger research program approved for the Canadian government for their offset program and supported by Federal and Provincial research internships. As a real-world analysis approach, the pair analysis sessions conduced actionable causal chain analysis of aircraft safety. As a scientific method, pair analytics advanced our knowledge of the cognitive science of interpersonal communication in Joint Activities. The paper describes how aerospace researchers and cognitive scientists were able to design a research approach that met constraints from both areas. It concludes with discussion of the implications of this work for highly integrated basic and responsive research in other areas of visualization and analytics
Nudging folks towards stronger password choices:providing certainty is the key
Persuading people to choose strong passwords is challenging. One way to influence password strength, as and when people are making the choice, is to tweak the choice architecture to encourage stronger choice. A variety of choice architecture manipulations i.e. ânudgesâ, have been trialled by researchers with a view to strengthening the overall password profile. None has made much of a difference so far. Here we report on our design of an influential behavioural intervention tailored to the password choice context: a hybrid nudge that significantly prompted stronger passwords.We carried out three longitudinal studies to analyse the efficacy of a range of ânudgesâ by manipulating the password choice architecture of an actual university web application. The first and second studies tested the efficacy of several simple visual framing ânudgesâ. Password strength did not budge. The third study tested expiration dates directly linked to password strength. This manipulation delivered a positive result: significantly longer and stronger passwords. Our main conclusion was that the final successful nudge provided participants with absolute certainty as to the benefit of a stronger password, and that it was this certainty that made the difference
SciTech News Volume 71, No. 1 (2017)
Columns and Reports From the Editor 3
Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division Aerospace Section of the Engineering Division 9 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 11
Reviews Sci-Tech Book News Reviews 12
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Interactive Data Exploration of Distributed Raw Files: A Systematic Mapping Study
When exploring big amounts of data without a clear target, providing an interactive experience
becomes really dif cult, since this tentative inspection usually defeats any early decision on data structures
or indexing strategies. This is also true in the physics domain, speci cally in high-energy physics, where
the huge volume of data generated by the detectors are normally explored via C++ code using batch
processing, which introduces a considerable latency. An interactive tool, when integrated into the existing
data management systems, can add a great value to the usability of these platforms. Here, we intend to
review the current state-of-the-art of interactive data exploration, aiming at satisfying three requirements:
access to raw data les, stored in a distributed environment, and with a reasonably low latency. This paper
follows the guidelines for systematic mapping studies, which is well suited for gathering and classifying
available studies.We summarize the results after classifying the 242 papers that passed our inclusion criteria.
While there are many proposed solutions that tackle the problem in different manners, there is little evidence
available about their implementation in practice. Almost all of the solutions found by this paper cover a
subset of our requirements, with only one partially satisfying the three. The solutions for data exploration
abound. It is an active research area and, considering the continuous growth of data volume and variety,
is only to become harder. There is a niche for research on a solution that covers our requirements, and the
required building blocks are there
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