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Related papers: Removing Barriers to Interdisciplinary Research

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This work aims to make it easier for a specialist in one field to find and explore ideas from another field which may be useful in solving a new problem arising in his practice. It presents a methodology which serves to represent the…

Computers and Society · Computer Science 2007-05-23 Sebastien Paquet

The constantly growing body of scholarly knowledge of science, technology, and humanities is an asset of the mankind. While new discoveries expand the existing knowledge, they may simultaneously render some of it obsolete. It is crucial for…

Digital Libraries · Computer Science 2017-10-24 Chaomei Chen

In this research, a literature in human-computer interaction is reviewed and the technology aspect of human computer interaction related with digital academic supportive devices is also analyzed. According to all these concerns,…

Human-Computer Interaction · Computer Science 2015-01-06 S. Thuseethan , S. Kuhanesan

Over the last four decades, the way knowledge is created in academia has transformed dramatically: research teams have grown larger, scholars draw from ever-wider pools of prior work, and the most influential discoveries increasingly emerge…

Digital Libraries · Computer Science 2025-11-27 Sarah J. James , Marcus A. Rodriguez , David P. Miller

Computer simulations have become a very powerful tool for scientific research. Given the vast complexity that comes with many open scientific questions, a purely analytical or experimental approach is often not viable. For example,…

Neural and Evolutionary Computing · Computer Science 2016-07-12 Roman Bauer , Lukas Breitwieser , Alberto Di Meglio , Leonard Johard , Marcus Kaiser , Marco Manca , Manuel Mazzara , Max Talanov

Interactive communication (IC), i.e., the reciprocal exchange of information between two or more interactive partners, is a fundamental part of human nature. As such, it has been studied across multiple scientific disciplines with different…

Although interdisciplinarity is often touted as a necessity for modern research, the evidence on the relative impact of sectorial versus to interdisciplinary science is qualitative at best. In this paper we leverage the bibliographic data…

Process science is a highly interdisciplinary field of research. Despite numerous proposals, process science lacks an adequate understanding of the core concepts of the field, including notions such as process, event, and system. A more…

Databases · Computer Science 2024-04-02 Peter Fettke , Wolfgang Reisig

The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity in biological problems.…

This paper identifies the challenges associated with coordinating the development of new research methodologies and an accelerated pace of new discoveries in materials science with slower-evolving textbooks and curricula. The target…

Physics Education · Physics 2022-01-04 Eva M. Campo

Interdisciplinary research (IDR) has been considered as an important source for scientific breakthroughs and as a solution to today's complex societal challenges. While ample empirical evidence has suggested its benefits within the academia…

Digital Libraries · Computer Science 2023-09-19 Qing Ke

This paper examines the integration of STEAM (Science, Technology, Engineering, Arts, and Mathematics) into education, emphasizing the inclusion of the Arts to foster creativity alongside traditional STEM skills. STEAM encourages…

Physics Education · Physics 2024-08-29 Iván Sánchez Milara , Marta Cortés Orduña

Are existing ways of measuring scientific quality reflecting disadvantages of not being part of giant collaborations? How could possible discrimination be avoided? We propose indices defined for each discipline (subfield) and which count…

Digital Libraries · Computer Science 2016-07-08 A. Tawfik

Nowadays the composition and formation of effective teams is highly important for both companies to assure their competitiveness and for a wide range of emerging applications exploiting multiagent collaboration (e.g. crowdsourcing,…

Multiagent Systems · Computer Science 2016-10-28 Ewa Andrejczuk , Rita Berger , Juan A. Rodriguez-Aguilar , Carles Sierra , Víctor Marín-Puchades

The emerging field at the intersection of quantitative biology, network modeling, and control theory has enjoyed significant progress in recent years. This Special Issue brings together a selection of papers on complementary approaches to…

Molecular Networks · Quantitative Biology 2018-07-10 Reka Albert , John Baillieul , Adilson E. Motter

Recent applications of machine learning and statistical inference provide case studies demonstrating how such approaches can accelerate the discovery process in physical chemistry and related fields. Examples discussed in this review…

Chemical Physics · Physics 2017-06-20 Ryan B. Jadrich , Beth A. Lindquist , Thomas M. Truskett

Automation transformed various aspects of our human civilization, revolutionizing industries and streamlining processes. In the domain of scientific inquiry, automated approaches emerged as powerful tools, holding promise for accelerating…

Scientific understanding is a fundamental goal of science, allowing us to explain the world. There is currently no good way to measure the scientific understanding of agents, whether these be humans or Artificial Intelligence systems.…

Artificial Intelligence · Computer Science 2024-05-07 Kristian Gonzalez Barman , Sascha Caron , Tom Claassen , Henk de Regt

Conservation science is an interdisciplinary field that primarily draws on knowledge from the natural sciences, social sciences, and humanities to inform policy, planning, and practice. Since its formalization as a discipline, conservation…

Digital Libraries · Computer Science 2024-04-25 Andrew K. Schulz , Adam S. Gouge , Christine L. Madliger

Scientific research's mandate is to comprehend and explore the world, as well as to improve it based on experience and knowledge. Knowledge embedding and knowledge discovery are two significant methods of integrating knowledge and data.…

Artificial Intelligence · Computer Science 2022-04-12 Yuntian Chen , Dongxiao Zhang
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