The Kuwait Foundation for the Advancement of Sciences (KFAS) honored Arab researchers and granted the Kuwait Prize '24 for their achievements in Science & Technology. This annual award recognizes significant scientific contributions and outstanding research efforts across various fields. The specific research areas or recipients were not detailed in the provided title. Why it matters: This initiative plays a crucial role in encouraging scientific innovation and fostering collaboration among researchers in the Arab world, thereby contributing to regional advancements in science and technology.
KAUST professor Niveen Khashab was named the first Great Arab Mind in natural sciences. The Great Arab Minds award was conceived by Sheikh Mohammed Bin Rashid al Maktoum to recognize Arabs for achievements in science, architecture, engineering, economics, literature, and medicine. Khashab, an organic chemist, was selected for contributions to nanomaterials development, synthesis, and application in medicine, industry, and agriculture. Why it matters: The award highlights KAUST's role in fostering scientific talent and contributing to advancements in nanotechnology and related fields within the Arab world.
KAUST was ranked first in the Times Higher Education (THE) Arab University Rankings 2023, improving from second place the previous year. KAUST achieved a perfect score of 100 for research environment and saw improvements in industry income and international outlook. KAUST's supercomputer Shaheen III was also ranked the most powerful in the Middle East and #20 globally. Why it matters: This ranking highlights the increasing strength of Saudi Arabian universities and the region's growing focus on research, development, and innovation, especially in areas like AI.
The ArabJobs dataset is a new corpus of over 8,500 Arabic job advertisements collected from Egypt, Jordan, Saudi Arabia, and the UAE. The dataset contains over 550,000 words and captures linguistic, regional, and socio-economic variation in the Arab labor market. It is available on GitHub and can be used for fairness-aware Arabic NLP and labor market research.