Data Visualization Researcher at Complexity Science Hub
Liuhuaying Yang is a data visualization researcher at Complexity Science Hub. Her expertise is in design and front-end development of interactive data visualizations on the interface of academic research and applications. She has worked with the Massachusetts Bay Transportation Agency, the MIT Senseable City Lab and SMART Future Mobility in Singapore as a data visualization specialist, and SPH Lianhe Zaobao in Singapore as a data visualization designer for interactive data journalism projects. Her work has been awarded the first prize in the 2019 TRB Innovations in Transit Performance Measurement Challenge and recently won first place in the interactive category of the World Dataviz Prize 2023.
Talk: Creative visualization strategies for complexity science communication.
Communicating the scientific results of studying complex systems can be as challenging as conducting a novel research. Data visualization became an effective way for presenting results, but sometimes charts and diagrams are simply not enough, especially when targeting a broader audience. What are the challenges and (other) possible ways to present complex data or abstract models?
Workshop: Creating customized visualizations via creative sketching
This workshop will guide you through the design process of the award-winning project "Four Seasons: How has the world progressed in recent years?" to enhance your skills in creating imaginative data visualizations, encouraging creative sketching. It welcomes participants from diverse backgrounds, requiring only pens, colored pens, sketching paper, and optional laptops for data access and online visualization tools exploration.