By Professor David Bresch explores the origins and applications of natural catastrophe modeling, focusing on storms and their impact on risk mitigation and decision-making processes.
Explores the development of storytelling tools that simplify narrative creation and editing processes, emphasizing user-friendly interfaces and design principles.
Explores GIS application in participatory planning through case studies in Thies and Seychelles, emphasizing the importance of simplicity and user engagement.
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.
Explores neuroimaging basics, brain network scales, connectivity, history, and physics, emphasizing the importance of understanding data at different scales.
Explores text mining of long-tail data in neuroscience and brain connectivity, including named entity recognition, protein concentration mining, and comparison of connectivity matrices.
