Results 1 to 10 of about 8,980,708 (398)

Research and Education in Computational Science and Engineering. [PDF]

SIAM Rev Soc Ind Appl Math, 2018
This report presents challenges, opportunities and directions for computational science and engineering (CSE) research and education for the next decade.
Officers of the SIAM Activity Group on Computational Science and Engineering (SIAG/CSE), 2013-2014.   +1 more
europepmc   +6 more sources

Sustainable computational science: the ReScience initiative [PDF]

PeerJ Computer Science, 2017
Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind.
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C.Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito   +44 more
doaj   +5 more sources

Materials Cloud, a platform for open computational science. [PDF]

Sci Data, 2020
Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling.
Talirz L, Kumbhar S, Passaro E, Yakutovich AV, Granata V, Gargiulo F, Borelli M, Uhrin M, Huber SP, Zoupanos S, Adorf CS, Andersen CW, Schütt O, Pignedoli CA, Passerone D, VandeVondele J, Schulthess TC, Smit B, Pizzi G, Marzari N.   +19 more
europepmc   +3 more sources

Computer Science [PDF]

International Journal on Advanced Science Engineering Information Technology, 12(3), 2022, 2022
Possible for science itself, conceptually, to have and will understand differently, let alone science also seen as technology, such as computer science. After all, science and technology are viewpoints diverse by either individual, community, or social. Generally, it depends on socioeconomic capabilities.
Nasution, Mahyuddin K. M., Hidayat, Rahmat, Syah, Rahmad   +2 more
arxiv   +4 more sources

The computational thinking for science (CT-S) framework: operationalizing CT-S for K–12 science education researchers and educators

International Journal of STEM Education, 2023
Contemporary science is a field that is becoming increasingly computational. Today’s scientists not only leverage computational tools to conduct their investigations, they often must contribute to the design of the computational tools for their specific ...
Timothy Hurt, Eric Greenwald, Sara Allan, Matthew A. Cannady, Ari Krakowski, Lauren Brodsky, Melissa A. Collins, Ryan Montgomery, Rena Dorph   +8 more
doaj   +2 more sources

Best Practices for Computational Science: Software Infrastructure and Environments for Reproducible and Extensible Research

Journal of Open Research Software, 2014
The goal of this article is to coalesce a discussion around best practices for scholarly research that utilizes computational methods, by providing a formalized set of best practice recommendations to guide computational scientists and other stakeholders
Victoria Stodden, Sheila Miguez
doaj   +2 more sources

For a heterodox computational social science

Big Data & Society, 2021
The proliferation of digital data has been the impetus for the emergence of a new discipline for the study of social life: ‘computational social science’.
Petter Törnberg, Justus Uitermark
doaj   +2 more sources

COMPUTATIONAL SCIENCE CENTER [PDF]

, 2004
The Brookhaven Computational Science Center brings together researchers in biology, chemistry, physics, and medicine with applied mathematicians and computer scientists to exploit the remarkable opportunities for scientific discovery which have been enabled by modern computers.
J. DAVENPORT
openalex   +9 more sources

Reproducible research in computational science. [PDF]

Science, 2011
Peng RD.
europepmc   +2 more sources

Can Large Language Models Transform Computational Social Science? [PDF]

International Conference on Computational Logic, 2023
Large language models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and political ideology ...
Caleb Ziems, William B. Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang   +5 more
semanticscholar   +1 more source