Event Highlights

Advancing Data Science Through Complex Networks:

An In-depth Exploration of Foundational Knowledge at Our 2nd Interdisciplinary Workshop

Organizer

Collaborating partner

The HKU IDS Interdisciplinary Workshop, ” Understanding Complex Networks for Advancing Fundamental Data Science,” held on August 28–29, 2025, at The University of Hong Kong, brought together researchers and scholars to explore the transformative potential of network science. Hosted by the HKU Musketeers Foundation Institute of Data Science (IDS) and chaired by Prof. Alec Kirkley, this two-day hybrid event at CPD 2.58, Centennial Campus, fostered dynamic discussions on network theory and its applications across diverse domains.

The workshop opened with remarks from Prof. Yi Ma, Director of the HKU Musketeers Foundation Institute of Data Science. Prof. Ma praised the Organizing Committee’s vision and underscored the importance of interdisciplinary approaches in unraveling complex systems. He highlighted that a deep understanding of network theory and computational methods is crucial for advancing data science, positioning HKU IDS as a pioneer in our comprehensive offering of graduate courses well-suited for this global pursuit.

We were pleased to welcome over 80 participants, including students, faculty from HKU and sister institutions, and international researchers despite the slightly unpleasant weather. The workshop featured compelling presentations bridging theoretical rigor with practical impact. Keynote speakers, including Prof. Guanrong Chen and Prof. Tiago P. Peixoto, delivered thought-provoking lectures on topics such as optimal synchronization and statistical physics on hypergraphs. The 2-day event concluded with vibrant panel discussions, sparking enthusiastic audience questions and fostering insightful exchanges among academics from HKU and beyond.

This workshop highlighted IDS’ commitment to driving interdisciplinary collaboration, paving the way for innovative breakthroughs in data science research. We look forward to future initiatives with the HKU IDS community to continue advancing network science!