Introduction to the Lecture:

Data and modeling, powerful tools for human beings to perceive and understand the world, analyze and solve problems, bridge the real world and the abstract world. Data science is a discipline that integrates knowledge from multiple fields such as statistics, computer science, and machine learning to discover hidden patterns, relationships, and knowledge from data. By extracting useful information from large-scale data and using mathematical models for analysis and prediction, data science helps scientists better understand the laws of natural phenomena, design more efficient systems, and make economic policy and business decision analysis. Environmental scientists and data scientists should play a pivotal role in addressing the challenges of global climate change, as global climate change has led to an increase in extreme weather events, exerting serious impacts on human life and ecosystems. This report will explore how to use data science to address challenges such as extreme weather and other natural disasters, human health, and food security incurred by global climate change.

Profile of the Speaker: Yang Mu, a Ph.D. in spatial data processing and modeling from TU Dortmund, a technical expert in data science, AI, and privacy c  omputing, former Chief Data Scientist at the German headquarters of Universal McCann, IPG, a Fortune 500 company, co-founder and CTO of Gobi GmbH in Germany, and a high-level talent in Hangzhou, having won the Best Practice Award in the 2023 United Nations Big Data Hackathon and the second prize in the 2023 "Challenger Cup" Mechatronic Developer Competition organized by the Ministry of Industry and Information Technology.