Data Visualization for Scientific Discoveries provides innovative, practical methods, including dynamic graphics engines, interactive storytelling, and AI-generated content, to visualize multi-source, high-dimensional data more effectively. Authored by experts in art technology and educational psychology, the text presents data-validated methods for accelerating both discovery and public engagement. It offers a complete five-step workflow with case studies from reputable organizations like NASA and CERN, showcasing how solutions like Virtual Reality (VR) can boost anomaly detection and improve public climate awareness. This essential resource is ideal for researchers, data scientists, digital media professionals, and educators seeking a definitive guide for sophisticated scientific data visualization across various fields of study. It is also an excellent textbook for advanced undergraduate- and graduate-level courses on scientific data visualization, scientific information design/ management, and advanced applied computer graphics.
Professor Qian Liu is the Dean of the Academy of Film and Creative Technology (AFCT) and a Professor at Xi'an Jiaotong-Liverpool University (XJTLU), following his tenure as the founding Dean of the Digital Media School at the Beijing Film Academy (BFA). He has held a range of academic research positions in the US and China: visualization integration researcher at the California Institute for Telecommunication and Information Technology (Calit2), University of California, San Diego, as well as system researcher at the National Center for Supercomputing Applications (NCSA), US, and China Electric Power Research Institute (CEPRI).
His diverse research and creative interests span across digital media arts and technology, digital filmmaking, immersive display systems, interactive design, VR/AR/XR, and generative AI applications — an expertise he also practices as an internationally exhibited digital media artist.
Professor Liu has achieved significant, tangible results by applying his creativity and research across his interdisciplinary specializations. He was the former Executive Chairman of the Digital Imaging Creative Committee of the China Video Industry Association (CVIA) and Deputy Director of the 5G Professional Committee of China Communications Industry Association. He also held the position of Chairman of the International Creative Art Contest (ICAC) at the 2024 Busan International Art Festival (BIAF) and Chair of the International AI Visual art Contest (IAIV) at the 2025 (BIAF). Currently, he is a member of the 2024 film gold digital Honor Recommendation Committee, as well as a member of the AI Imaging/Video Talent Selection Programme Recommendation Committee.
Professor Wenling Li is the Chief Expert at the College of Humanities and Education and a Professor at Xi'an Eurasia University, China. She is a distinguished educational researcher with extensive experience in the field, having previously held dual roles as the Director of the Doctoral Program and Doctoral Advisor at US-based Trident International University's College of Education.
Professor Li holds a PhD from Beijing Normal University (1991) and completed her postdoctoral research at the University of Illinois at Urbana-Champaign (1992), where she later served as a Senior Research Scientist at the university's Children's Reading Research Center. During this time, she led the Spencer Foundation-funded comparative reading research project between China and the US.
She is currently an active member of several prestigious professional organizations, including the American Educational Research Association (AERA), the National Association for Early Childhood Education (NAEYC), and the American Council on Foreign Language Teaching (ACTFL). Her major publications include one book published in the US and ten books published in China, reflecting her deep scholarly contributions to both countries.
