Results 191 to 200 of about 42,068 (285)

Beyond a number game: Flat team structures improve inclusion and performance in diverse scientific teams

open access: yesJournal of the Association for Information Science and Technology, Volume 77, Issue 9, Page 1119-1135, September 2026.
Abstract The promises and perils about scientific team diversity are still debated in the scholarly literature, partly because the importance of underrepresented groups is not fully recognized or valued. In this paper, we summarize two perspectives on team diversity in science: horizontal differences and vertical disparity. Horizontal differences refer
Huimin Xu   +8 more
wiley   +1 more source

Scientific collaboration in data‐intensive research networks: PhD fellows' expectations and early experiences

open access: yesJournal of the Association for Information Science and Technology, Volume 77, Issue 9, Page 1153-1168, September 2026.
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann   +3 more
wiley   +1 more source

Interdisciplinarity [PDF]

open access: yesDiscourse & Society, 1995
openaire   +1 more source

The hare and the tortoise: Open access publications' immediate impact and lasting advantage

open access: yesJournal of the Association for Information Science and Technology, Volume 77, Issue 9, Page 1169-1190, September 2026.
Abstract Open Access has changed how research is published and discovered. Studies generally report that OA articles are cited and mentioned more often than non‐OA, describing an open access advantage (OAA). The mechanisms causing the OAA are under‐investigated: this research analyzes citation and altmetrics post‐publication, reporting on the ...
Michael Taylor
wiley   +1 more source

Integrating Machine Learning Into Environmental Engineering Education: Design, Implementation, and Outcomes of an Interdisciplinary Course

open access: yesComputer Applications in Engineering Education, Volume 34, Issue 5, September 2026.
ABSTRACT As global environmental challenges intensify, engineering education increasingly requires approaches that integrate computational methods with interdisciplinary collaboration. This paper presents the design, implementation, and outcomes of a 5‐day intensive machine learning course tailored to civil and environmental engineering students and ...
Angela Gorgoglione   +2 more
wiley   +1 more source

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