Michael Hickner, an Associate Professor from Penn State University, visited KAUST as part of the CRDF-KAUST-OSR Visiting Scholar Fellowship Program. Hickner specializes in Materials Science and Engineering, Chemistry, and Chemical Engineering. The visit was documented with photos by Meres J. Weche. Why it matters: Such programs foster international collaboration and knowledge exchange in science and engineering between KAUST and other leading institutions.
KAUST research photographer Anastasia Khrenova designed a scientific art display for the 2018 Winter Enrichment Program (WEP). The "Visualizing the Human Machine Future" exhibition showcased photographs and scientific illustrations from KAUST laboratories. The exhibit aimed to communicate science nonverbally and provide viewers with a glimpse into the university's research activities. Why it matters: Such initiatives help promote scientific research to the public and attract potential researchers to KAUST, fostering a greater understanding and appreciation of scientific endeavors in the region.
Lewis Dartnell, professor of science communication at the University of Westminster, spoke at KAUST about how to rebuild the world after an apocalyptic scenario. Dartnell is the author of "The Knowledge: How to Rebuild our World from Scratch." The Enrichment in the Fall lecture took place on October 17. Why it matters: Public lectures at KAUST contribute to knowledge dissemination and engagement with global challenges.
KAUST held its second annual "Science as Art" competition, sponsored by the KAUST student chapter of the Materials Research Society (MRS). Over 25 KAUST students and postdoctoral fellows participated, showcasing artistic research images from their lab work. The competition aimed to bridge the gap between the scientific community and the general public by presenting science from an artistic point of view. Why it matters: Such initiatives at KAUST can foster interdisciplinary thinking and enhance public engagement with science and technology in Saudi Arabia.
This study analyzes the evolution of data science vocabulary using 16,018 abstracts containing "data science" over 13 years. It identifies new vocabulary introduction and its integration into scientific literature using techniques like EDA, LSA, LDA, and N-grams. The research compares overall scientific publications with those specific to Saudi Arabia, identifying representative articles based on vocabulary usage. Why it matters: The work provides insights into the development of data science terminology and its specific adoption within the Saudi Arabian research landscape.