1,721,957 research outputs found
Visualization in Computational Science
Get PDFAbstractThis section and the papers that follow relate to to the workshop on Visualization in Computational Science which is held at the Tenth International Conference on Computational Science (ICCS2010) in Amsterdam, the Netherlands. This workshop brings together experts from visualization research and end-users to illustrate the state of the art and advance potential areas of common interest
Perspectives of the International Conference of Computational Science 2014
No full textComputational Science has enabled a raft of science that was either impossible, dangerous, or extremely expensive. It is arguably one of the most multi-disciplinary research endeavors, and draws on foundational work in mathematics and computer science. Computational Science has applicability in almost all scientific domains, and is now an essential tool in many of these. This special section contains extended papers originally published in proceedings of the 14th International Conference on Computational Science (ICCS 2014), an annual event that promotes leading edge research
Young Researchers Advancing Computational Science: Perspectives of the Young Scientists Conference 2015
Get PDFWe present an annual international Young Scientists Conference (YSC) on computational science http://ysc.escience.ifmo.ru/, which brings together renowned experts and young researchers working in high-performance computing, data-driven modeling, and simulation of large-scale complex systems. The first YSC event was organized in 2012 by the University of Amsterdam, the Netherlands and ITMO University, Russia with the goal of opening a dialogue on the present and the future of computational science and its applications. We believe that the YSC conferences will strengthen the ties between young scientists in different countries, thus promoting future collaboration. In this paper we briefly introduce the challenges the millennial generation is facing; describe the YSC conference history and topics; and list the keynote speakers and program committee members. This volume of Procedia Computer Science presents selected papers from the 4th International Young Scientists Conference on Computational Science held on 25 June − 3 July 2015 in Athens, Greece
Analysis of publication activity of computational science society in 2001–2017 using topic modelling and graph theory
No full textThis paper presents the results of topic modelling and analysis of topic networks using the corpus of the International Conference on Computational Science (ICCS), which contains 5982 domain-specific papers over seventeen years 2001–2017. We discuss the topical structures of ICCS, and show how these topics have evolved over time in response to the topicality of various domains, technologies and methods, and how all these topics relate to one another. This analysis illustrates the multidisciplinary research and collaborations among scientific communities, by constructing static and dynamic networks from the topic modelling results and from the authors’ keywords. The results of this study provide insights regarding the past and future trends of core discussion topics in computational science and show how “computational thinking” has propagated across different fields of study. We used the Non-negative Matrix Factorization (NMF) topic modelling algorithm to discover topics. The resulting topics were then manually labelled and grouped hierarchically on three levels. Next, we applied trend analysis and Change Point Analysis (CPA) to study the evolution of topics over seventeen years and to identify the growing and disappearing topics. We used Gephi to examine the static networks of topics, and an R library called DyA to analyse the dynamic networks of topics. We also analysed the conference as a platform for potential collaboration development through the perspective of collaboration networks. The results show that authors of ICCS papers continue to actively collaborate after the conference − on average authors collaborate with three other ICCS authors, − which suggests that ICCS is a valuable platform for collaboration development
Data through the Computational Lens
No full textToday, many advanced studies in computational science are enforced by data collected and processed in distributed systems, obtained and assimilated in real (or near-real) time, used to identify and build models, or even used for advanced visualization to have insights through visual images. Taking such an important role of data into account, 16th International Conference on Computational Science (ICCS 2016), an event that promotes leading-edge research in the area, proposed the special theme “Data through the Computational Lens” to bring diverse ideas and recent developments together from computational science society aimed towards this vector. This special issue contains extended papers selected from the conference proceedings that promotes leading edge research
Russian-Dutch double-degree Master’s programme in computational science in the age of global education
No full textHighlights • We present a new double-degree graduate (Master’s) programme in computational science launched in 2012 by the ITMO University, Russia and University of Amsterdam, The Netherlands. • We discuss the global aspects of integration of different educational systems and list some funding opportunities. • We describe our double-degree program curriculum, suggest the timeline of enrollment and studies, and give some examples of student research topics. • Finally, we discuss the issues of joint programs with Russia and suggest possible solutions, analyze the results of the first three student intakes and reflect on the lessons learnt, and share our thoughts and experiences that could be of interest to the international community expanding the educational markets to the vast countries like Russia, China or India. • The paper is written for education professionals and contains useful information for potential students
Dutch-Russian Double Degree Master's Program Curricula in Computational Science and High Performance Computing
No full textFrom the moment of the fall of the Soviet Union in 1991, Russian higher education underwent drastic changes to international standards and enter the European Higher Education Area on equal terms. Joint efforts of Russian and Dutch peers and strong incentives from high-tech industries helped to launch new educational programs in Computational Science. Our international team of educators attempts to pick the best from the curricula and educational methods of post-Soviet programs and adopt the world's best practices in engineering education. In this paper we describe the curricula of a double-degree Master's program in Supercomputer Technologies in Interdisciplinary Research of the ITMO University and the University of Amsterdam and newly-developed programs in Big Data and Urban Supercomputing. We comment on the form and content of our programs and give some examples of student research topics
Analysis of Computational Science Papers from ICCS 2001-2016 using Topic Modeling and Graph Theory
Get PDFThis paper presents results of topic modeling and network models of topics using the ICCS corpus, which contains domain-specific (computational science) papers over sixteen years (a total of 5695 papers). We discuss topical structures of ICCS, how these topics evolve over time in response to the topicality of various problems, technologies and methods, and how all these topics relate to one another. This analysis illustrates multidisciplinary research and collaborations among scientific communities, by constructing static and dynamic networks from the topic modeling results and the authors' keywords. The results of this study give insights about the past and future trends of core discussion topics in computational science. We used the Non-negative Matrix Factorization(NMF) topic modeling algorithm to discover topics and labeled and grouped results hierarchically. We used Gephi to study static networks of topics, and an R library called DyA to analyze the dynamic networks of topics
Multi-scale modelling in computational biomedicine
Get PDFThe inherent complexity of biomedical systems is well recognized; they are multi-scale, multi-science systems, bridging a wide range of temporal and spatial scales. This article reviews the currently emerging field of multi-scale modelling in computational biomedicine. Many exciting multi-scale models exist or are under development. However, an underpinning multi-scale modelling methodology seems to be missing. We propose a direction that complements the classic dynamical systems approach and introduce two distinct case studies, transmission of resistance in human immunodeficiency virus spreading and in-stent restenosis in coronary artery disease
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