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Results for "Interdisciplinary"

Adaptation requires cross-domain solutions

KAUST ·

Carlos Duarte, a professor of Marine Science at KAUST, discusses climate change adaptation and mitigation. He was interviewed outside the KAUST Museum of Science and Technology. The interview is part of a Frontiers Research Topic on Climate Change Adaptation and Mitigation. Why it matters: This highlights KAUST's focus on addressing climate change through scientific research and its engagement with international platforms like Frontiers.

Rachel Sussman: All the time in the world

KAUST ·

American artist Rachel Sussman spoke at KAUST's 2019 Winter Enrichment Program about her project documenting the world's oldest living organisms. Sussman photographed 30 species alive for over 2,000 years, including trees, coral, and bacteria. She collaborated with 30 scientists to identify and document these organisms. Why it matters: The lecture highlights KAUST's interdisciplinary approach to knowledge, connecting art, science, and philosophy to explore concepts of time and longevity.

Transdisciplinary science and the future of energy

KAUST ·

A KAUST article discusses the future of energy, highlighting the role of hydrocarbon fuels and the need for sustainable practices. Professor Tadeusz W. Patzek's paper emphasizes finding sustainable bridges until alternative energy sources become viable. The article contrasts optimistic and pessimistic views on energy sustainability, drawing parallels to the whale oil industry. Why it matters: The piece highlights the tension between continued reliance on fossil fuels and the urgent need for alternative energy sources and reduced consumption in the GCC region and globally.

Empowering cross-disciplinary AI research

MBZUAI ·

MBZUAI and RIKEN-AIP (Japan) co-hosted a joint workshop at MBZUAI's Masdar City campus. The workshop facilitated the sharing of research and perspectives across machine learning, computer vision, and natural language processing. Researchers from both institutions explored interdisciplinary cooperation to enhance AI's capacity to address real-world problems. Why it matters: This collaboration strengthens MBZUAI's position as a hub for cross-disciplinary AI research and fosters international partnerships in the field.

Cross-disciplinary collaboration results in groundbreaking earthquake research

KAUST ·

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.

Forging a career through interdisciplinarity

KAUST ·

KAUST Professor Xin Gao, lead of the Structural and Functional Bioinformatics Group, advocates for interdisciplinarity in academic research, specifically merging AI and bioinformatics. Gao, formally trained in computer science with no formal biology training, integrated biological knowledge independently. At KAUST, he synchronized bioinformatics, machine learning, and AI, despite the challenges of dividing efforts between disciplines. Why it matters: Gao's success highlights the growing importance of interdisciplinary approaches in AI research, particularly in bridging computational methods with specialized domains like biomedicine to drive innovation.

Using STEAM to solve global challenges

KAUST ·

KAUST's Entrepreneurship Center hosted a STEAM Innovation Challenge. The challenge involved applying science, technology, engineering, arts, and mathematics to solve global problems. Participants engaged with KAUST faculty and industry experts. Why it matters: The event highlights KAUST's commitment to fostering innovation and entrepreneurship through multidisciplinary approaches to address pressing global challenges.

Examining how technology informs science

KAUST ·

KAUST's Computational Bioscience Research Center (CBRC) held a Research Conference on Big Data Analyses in Evolutionary Biology. The conference focused on the impact of large "omics" datasets on evolutionary biology, requiring big data approaches for analysis. Researchers discussed how computer science can contribute to biology and vice versa. Why it matters: Such interdisciplinary events at KAUST can foster innovation at the intersection of computational science and biology, advancing research in both fields.