The 2nd International Symposium on Interdisciplinary and Collaborative Innovation Research was Successfully Held at the University of Macau

第二屆跨學科協同創新研究國際研討會於澳大成功舉行

“The 2^nd International Symposium on Interdisciplinary and Collaborative Innovation Research” took place successfully at the University of Macau. This two-day event included two sessions: “The 2^nd Macau Symposium on Data Science” on November 29 and “The 5^th Macau Symposium on Cognitive and Brain Sciences” on November 30. The symposium featured keynote speeches, guest presentations, and a poster session, all designed to foster interdisciplinary collaboration and academic exchange. A total of 29 presentations were delivered by renowned experts and scholars from diverse backgrounds sharing their latest research findings in data science and neuroscience, including 7 keynote speeches, 20 guest talks and 2 industrial talks, with over 300 participants in attendance.

The symposium was organized by the Institute of Collaborative Innovation (ICI) and its sub-centres: the Centre for Data Science (CDS) and the Centre for Cognitive and Brain Sciences (CCBS). It was sponsored by Nanjing Jianchuang Technology Company Limited and Lingbio Biotechnology Macau Company Limited. During the opening ceremony, Prof. Wei GE, Vice Rector (Research), delivered a speech introducing the mission and significance of ICI and expressed hopes for the successful conduct of the symposium.

A list of honorable guests attended the opening ceremony, including: Mr. Wai Meng CHE, Chief of the Project Transformation and Support Department of The Science and Technology Development Fund (FDCT); Ms. Rita Wu, Senior Officer of the Economic and Technological Development Bureau (DSEDT); Prof. George (Wencai) Du, Dean and Director of the Institute of Data Engineering and Science of the University of Saint Joseph (Macao); Prof. Lei ZHENG from the Macau University of Science and Technology; Prof. Pei SUN from the City University of Macau; Mr. Steven HE, Senior Expert; Ms. Zoey WANG, Account Director of HUAWEI Macau branch; Prof. Chengzhong XU, Interim Director of ICI, Prof. Zhen YUAN, Associate Director of ICI and Head of CCBS; and Prof. Ryan U, Head of CDS.

The 2^nd Macau Symposium on Data Science (Session One) featured 3 keynote speakers, 6 invited talks and 2 industrial talks. The discussions covered a range of topics, including big data analytics and processing, data mining and management, legal aspects of data science, the application of AI in healthcare, and various machine learning algorithms and techniques. This variety aligns with the interdisciplinary focus of our Centre and supports the holistic development of our students. The keynote presentations featured the following distinguished speakers: Prof. Sourav S. Bhowmick from Nanyang Technological University shared his insights on managing Conflicts-of-Interest through data-driven approaches, highlighting the evolution of socio-technical data systems research into practical applications. Prof. Huaqing Hong from Shanghai International Studies University explored the pivotal role of big data learning analytics in driving meaningful educational transformation, emphasizing evidence-based pedagogy and its potential to improve decision-making in teaching and learning. Prof. Yanzhi Li from City University of Hong Kong presented his research on integrating business domain knowledge into offline reinforcement learning to enhance personalized recommendation systems.

The 5^th Macau Symposium on Cognitive and Brain Sciences (Session Two) included 4 keynote speeches and 14 invited talks addressing a range of topics, including cognitive neuroscience related to addiction and decision-making, language and cognition, child development and cognitive aging, visual perception, neuroimaging, and psychiatric and neurological disorders. Key presentations included: Prof. Sheng HE from the Institute of Biophysics, Chinese Academy of Sciences discussed his research on feedback processing in the human brain; Prof. Tianzi JIANG from the Institute of Automation, Chinese Academy of Sciences) shared the Brainnetome’s atlas, from research background to its applications in understanding cognitive mechanisms and diagnosing brain diseases; Prof. Tatia Mei Chun LEE from the University of Hong Kong shared her recent studies on how loneliness is a significant threat to the wellbeing of older adults from behavioral and neural perspectives; Prof. Patrick C.M. WONG from The Chinese University of Hong Kong delivered a presentation on forecasting language development using neural data, covering topics from hypothesis testing to model generalization.

The symposium also features a poster session, showcasing 35 posters. To encourage the participation of young scholars, the poster committee selected the best posters (two first prizes, five second prizes, five third prizes, and eight merit awards) as a form of recognition.

The Institute of Collaborative Innovation is dedicated to promoting interdisciplinary research among higher education institutions in the Greater Bay Area and beyond, cultivating innovative talents, and creating an environment that is conducive to innovative thinking, innovative capabilities and innovative industries, and promoting cooperation among industry, academic and research. This symposium is one of the institute’s efforts to achieve its objectives, bringing together experts from academia, government, and society to discuss the latest trends and challenges in data science, cognitive neuroscience, and brain science, and to facilitate discussions and exchanges among scholars.

「第二屆跨學科協同創新研究國際研討會」於澳門大學成功舉行，為期兩天的活動包含兩個分會，分別是11月29日舉行的「第二屆澳門數據科學研討會」及11月30日舉行的「第五屆澳門認知與腦科學研討會」。此次研討會設有主題演講、嘉賓演講及海報展示，旨在促進跨學科的合作與學術交流。研討會共安排了29場演講，涵蓋數據科學、神經科學和腦科學領域的多位知名學者，其中包括7場主題演講、20場嘉賓演講和2場行業講座，參加人數超過300人。

是次活動由澳門大學協同創新研究院及其下單位-數據科學研究中心和認知與腦科學研究中心聯合主辦，並由南京尖創科技有限公司及百靈生物科技澳門有限公司贊助。在開幕式上，澳門大學副校長﹙研究﹚葛偉教授發表致辭，介紹了協同創新研究院的創立宗旨及其在學術界的重要性，並對研討會的成功舉辦表示期待。

開幕式上出席的嘉賓包括澳門科學技術發展基金項目成果轉化及輔助部謝偉明高級經理、澳門經濟及科技發展局科技廳鄔嘉希高級技術員、澳門聖若瑟大學數據工程與科學學院杜文才院長、澳門科技大學鄭磊副教授、澳門城市大學孫沛教授、華為澳門分公司何文靜高級專家及王苑竹客戶總監、澳門大學協同創新研究院代院長須成忠教授、協同創新研究院副院長及認知與腦科學研究中心主任袁振教授，及數據科學研究中心主任余亮豪教授。

第二屆澳門數據科學研討會（分會一）共有3場主題演講、6埸嘉賓演講及2場行業講座。討論的主題包括大數據分析與處理、數據探勘與管理、法律方面的數據科學、人工智能在醫療保健中的應用，以及各種機器學習演算法和技術。這些多樣化的議題契合了我們中心的跨學科定位，同時有助於學生的全面發展。主題演講分別為：新加坡南洋理工大學Sourav S. BHOWMICK教授討論了他對於通過數據驅動的方法管理利益衝突的見解，並強調了從社會技術數據系統研究到其實際影響的轉變；上海外國語大學洪化清教授探討了大數據學習分析在促進教育轉型的關鍵作用，重點關注實證教學法及其在教學與學習中增強決策能力的潛力；香港城市大學李彥志教授介紹了將商業領域智識整合到離綫強化學習從而增強個性化推薦系統的研究。

第五屆澳門認知與腦科學研討會（分會二）包括4場主題演講和14場嘉賓演講，涵蓋多個主題，包括與成癮和決策相關的認知神經科學、語言與認知、兒童發展與認知老化、視知覺、神經影像學，以及精神和神經疾病。主題演講分別為：中國科學院生物物理研究何生教授討論了人體大腦中反饋處理方面的研究；中國科學院自動化研究所蔣田仔教授分享了基於腦網絡鏈接的大腦圖譜創建，介紹了研究的背景及其在理解認知機制和診斷大腦疾病中的應用；香港大學李湄珍教授從行為和神經影響的證據指出孤獨是對老年人福祉的重大威脅；香港中文大學黃俊文教授發表了從神經數據預測語言發展，從假設檢驗到模型泛化的講座。

研討會還設有海報展示環節，包括三十五張海報展示。為鼓勵青年學者的参與，海報評選委員會選出最佳海報﹙一等獎兩名、二等和三等獎各五名、以及優異獎八名﹚，以示獎勵。

協同創新研究院致力於促進澳門、大灣區及國內外高校的跨學科研究，培養創新型人才，並營造有利於「創新思維，創新能力、創新產業」的環境，推動產學研合作。此次研討會正是協同創新研究院實現其宗旨的努力之一，吸引了來自學術界、政府及社會的專家，共同探討數據科學、認知神經科學和腦科學的最新趨勢和挑戰，促進學者之間的互動與交流。