KAUST's online alumni community, Rapport, has attracted nearly 1,000 members since its launch in 2017. The platform, accessible via website and mobile app, allows alumni to connect with each other, access career information, and participate in group discussions. Rapport aims to foster mentoring and networking opportunities for students and alumni. Why it matters: Platforms like Rapport can play an important role in retaining talent and expertise within the Kingdom, which supports the broader goals of Vision 2030.
The KAUST Saudi Arabian Alumni Chapter met to discuss future plans, with a focus on increasing engagement and creating a 'Community for Life'. The chapter caters to M.S. and Ph.D. graduates living and working in Saudi Arabia, representing around 51% of the total alumni. Key initiatives include leveraging the online network Rapport and organizing on-campus and regional meetings. Why it matters: Strengthening alumni networks is crucial for KAUST's long-term growth and influence within Saudi Arabia's evolving research and technology landscape.
KAUST researchers from statistics and earth science collaborated to improve earthquake source modeling. They developed a statistical ranking tool to classify 2D fields, applicable to geoscience models like temperature or precipitation. The tool helps compare different 2D fields describing the earthquake source process and quantify inter-event variability. Why it matters: This cross-disciplinary approach enhances the reliability of earthquake rupture models, contributing to better hazard assessment and risk management in seismically active regions.
KAUST hosted the KAUST Research Conference: Advances in Well Construction with Focus on Near-Wellbore Physics and Chemistry from November 7 to 9. The conference was co-chaired by Eric van Oort, a professor at UT Austin, and Tadeusz Patzek, director of the University’s Upstream Petroleum Engineering Research Center. Attendees included professors from the University of Queensland and UT Austin, and directors from GenesisRTS and Labyrinth Consulting Services, Inc. Why it matters: The conference facilitates international collaboration on advancements in petroleum engineering and well construction technologies, which are strategically important for Saudi Arabia.
Four researchers from KAUST attended the 69th Lindau Nobel Laureate Meeting in Germany, which focused on physics. The meeting provided an opportunity for young scientists to interact with 39 Nobel laureates, including Donna Strickland and Gérard Mourou. KAUST attendees included Abderrahmen Trichili, Ibrahim Dursun, Abdullah Almansouri, and Latifah Al Maghrabi, who participated in lectures, talks, and open exchanges. Why it matters: Participation in such events raises KAUST's profile and provides invaluable networking and learning opportunities for its researchers.
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 and Technische Universität München (TUM) have been collaborating on research since 2009, focusing on chemistry, computer science, and mathematics. TUM President Prof. Herrmann visited KAUST on March 25, discussing the KAUST-TUM collaboration in high-performance computing and catalytic chemistry. He emphasized the need for an entrepreneurial and interdisciplinary approach to solve complex scientific problems, highlighting trust and complementary expertise as key to the partnership's success. Why it matters: This partnership strengthens research capabilities in Saudi Arabia, promoting innovation and addressing complex challenges through international collaboration in key areas like computing and chemistry.
The paper introduces MIRAGE, a framework for evaluating LLMs' ability to simulate human behaviors in murder mystery games. MIRAGE uses four methods: TII, CIC, ICI and SCI to assess the LLMs' role-playing proficiency. Experiments show that even GPT-4 struggles with the complexities of the MIRAGE framework.