August 05–06, 2023, Beijing
The 3rd Floor, Rohm Building, Tsinghua University / 清华大学罗姆楼（电子工程馆）3层
The First Research Summit of Urban Science
Invited Speech | Panel Discussion | Poster Presentation | Urban Cup Competition
FOREWORD
In our rapidly evolving world, the explosion of new technologies and the availability of vast amounts of urban data have transformed our capacity to sense and understand urban spaces and activities. However, the challenge lies in effectively utilizing this data to address complex urban problems such as congestion, pollution, and segregation. Our ability to find optimal solutions must keep pace with the data explosion and advance hand in hand with technological progress.
The Research Summit of Urban Science aims to bridge this gap by exploring how newly available urban big data can be leveraged to gain deep insights into modern urban spaces, tackle real-world urban challenges, and enhance urban systems. We have gathered internationally renowned experts in the fields of urban science, computational social science, and human dynamics to come together and engage in thought-provoking discussions.
Over the two days, our summit will feature a series of invited talks and panel discussions, where experts will share their cutting-edge research, innovative methodologies, and practical solutions. These sessions will provide a platform for in-depth exploration of the complex problems associated with global city dynamics and urbanization. Attendees will have the opportunity to gain valuable insights, expand their networks, and contribute to the advancement of urban research.
In addition to the engaging talks and discussions, we will also have poster demonstrations, where researchers can showcase their work and engage in fruitful conversations with peers. Furthermore, we are excited to host the Urban Cup competition, where participants will have the chance to put their skills to the test in a stimulating and collaborative environment.
Join us at Beijing to collectively embainrk on this journey to unlock the potential of urban big data and pave the way for sustainable, efficient, and inclusive urban systems. We look forward to welcoming you to the Research Summit of Urban Science and Human Dynamics on August 5th-6th, 2023!
Contact Information
Email: rsushd2023@163.com
Phone: (0086) 010-6277-2387
Center for Urban Science and Computation
Department of Electronic Engineering
Tsinghua University
Beijing, 100084, P. R. China
SPEAKERS
Huadong
Guo
Chinese Academy of Sciences
Zhiqiang
Wu
Chinese Academy of Engineering
Michael
Batty
University College London
Luís M. A.
Bettencourt
University of Chicago
Marta C.
Gonzalez
University of California, Berkeley
Ryan Qi
Wang
Northeastern University
Riccardo Di
Clemente
Northeastern University London
Carlo V.
Cannistraci
Tsinghua University
SCHEDULE
Day 1
Roam Building, Tsinghua UniversityOpening Ceremony
Rong ZengVice President of Tsinghua
Lai WangVice President of Tsinghua EE Department
Depeng JinVice Party Secretary of University of Chinese Academy of Sciences
Director of Research Center for Urban Science and Computing @ THU EE
Luís BettencourtProfessor at University of Chicago
Feng LuDirector of GIScience Committee, China Association for Geospatial Industry and Sciences
Tao ZhouProfessor at University of Electronic Science and Technology of China
Chair of National Complexity Science Research Association
Yu ZhengVice President of JD.com
Chair of KDD China
Invited Talk 1-1
Big Data in Facilitating Sustainable Development Goal 11 and Related Goals
Huadong GuoChinese Academy of Sciences
Session Chair: Yong Li
Poster Slam 1: Urban Science
Session Chair: Yu Zheng
Coffee Break & Poster Demo
Invited Talk 1-2
Innovating Urban Design for Sustainable Development: Practice and Methodology
Zhiqiang WuChinese Academy of Engineering
Session Chair: Jingtao Ding
Invited Talk 1-3
A Brief Introduction to Urban Science and Why It Matters for China
Luís BettencourtUniversity of Chicago
Session Chair: Jingtao Ding
Urban Cup Presentation
Session Chair: Zhilong Chen
Lunch Break
Invited Talk 2-1
Urban Computing: Building Intelligent Cities Using AI and Big Data
Yu ZhengJD.COM
Session Chair: Tong Li
Invited Talk 2-2
Computational Socioeconomics: Perspectives, Methods and Related Applications in Urban Studies
Tao ZhouUniversity of Electronic Science and Technology of China
Session Chair: Tong Li
Poster Slam 2: Human Mobility
Session Chair: Lin Chen
Coffee Break & Poster Demo
Invited Talk 2-2
Exploring Spatio-Temporal Mobility Patterns within the City Structure
Riccardo Di ClementeNortheastern University London
Session Chair: Fengli Xu
Panel Discussion 1
Urban Science
Yu ZhengJD.com
Tao ZhouUniversity of Electronic Science and Technology of China
Riccardo Di ClementeNortheastern University London
Luís BettencourtUniversity of Chicago
Feng LuDirector of GIScience Committee, China Association for Geospatial Industry and Sciences
Fengli XuTsinghua University
Banquet
Day 2
Roam Building, Tsinghua UniversityInvited Talk 3-1
Unraveling the Interplay of the Urban Form and Mobility Science for Planning Cities
Marta GonzalezUniversity of California, Berkeley
Session Chair: Huandong Wang
Invited Talk 3-2
Human Mobility and Urban Resilience
Ryan Qi WangNortheastern University
Session Chair: Huandong Wang
Coffee break
Invited Talk 3-3
Revolutionizing Urban Mobility: The Powerful Combination of AIGC and City Simulators
Yong LiTsinghua University
Session Chair: Chen Gao
Panel Discussion 2
Mobility Science & Urban Dynamics
Marta GonzalezUniversity of California, Berkeley
Ryan Qi WangNortheastern University
Yong LiTsinghua University
Gang XuWuhan University
Leye WangPeking University
Lunch Break
Invited Talk 4-1
Large Scale Models for Evaluating and Designing Alternative Urban Futures
Michael BattyUniversity College London
Session Chair: Yuming Lin
Invited Talk 4-2
The Architecture and Progress of the Inter-disciplinary Program "Creating Future Cities and Future Societies"
Tinghai WuTsinghua University
Session Chair: Yuming Lin
Poster Slam 3: Urban Complexity
Session Chair: Jinghua Piao
Coffee Break & Poster Demo
Invited Talk 4-3
Network Geometry and Navigability of Complex Networks
Carlo Vittorio CannistraciTsinghua University
Session Chair: Jiazhen Liu
Poster Award & Urban Cup Award
Closing Ceremony
Poster Presentation
Learning from latest reasearch and engage in fruitful conversations with peers!
Urban Science
Urban Visual Intelligence: Uncovering Hidden City Profiles with Street View Images
Fan Zhang / Hong Kong University of Science and Technology / [PNAS]Dramatic Uneven Urbanization of Large Cities Throughout the World in Recent Decades
Liqun Sun / Chinese Academy of Sciences / [Nature Communications]Ultra-high-resolution Assimilated PM2.5 Mapping for Human Exposure Assessment
Yongyue Wang / Tsinghua University / [Preparing for Communications Earth and Environment]Carbon Emissions of 5G Mobile Networks in China
Tong Li / Tsinghua University / [Nature Sustainability]Spatial Planning of Urban Communities via Deep Reinforcement Learning
Yu Zheng / Tsinghua University / [Nature Computational Science]Mental Health Inequity in US Cities
Zhenyu Han / Tsinghua University / [Preparing for Nature Mental Health]Human Mobility
Urban Dynamics Through the Lens of Human Mobility
Yanyan Xu / Shanghai Jiao Tong University / [Nature Computational Science]Quantifying the Overall Characteristics of Urban Mobility Considering Spatial Information
Hao Wang / Beijing Jiaotong UniversityEmergence of Urban Growth Patterns from Human Mobility Behavior
Fengli Xu / Tsinghua University / [Nature Computational Science]Strategic COVID-19 Vaccine Distribution Can Simultaneously Elevate Social Utility and Equity
Lin Chen / Hong Kong University of Science and Technology / [Nature Human Behaviour]Reconstruction of the Transmission Chain of COVID-19 Outbreak in Beijing's Xinfadi Market, China
Tianyi Luo / Chinese Academy of Sciences / [International Journal of Infectious Diseases]Quantifying Systemic Accessibility Gaps in Sustainable Urban Transit Network
Yunke Zhang / Tsinghua University / [Preparing for PNAS]Deep Collaborative Learning for Complex Urban Mobility Generation
Yuan Yuan / Tsinghua University / [Preparing for Nature Cities]Urban Complexity
Simple Spatial Scaling Rules Behind Complex Cities
Ruiqi Li / Beijing University of Chemical Technology / [Nature Communications]Sustaining Greener Dockless Bike-Sharing Systems by Incorporating Choice Behaviors of Users
Ruiqi Li / Beijing University of Chemical TechnologyCLUMondo-BNU for Simulating Land System Changes based on Many-to-many Demand–supply Relationships with Adaptive Conversion Orders
Peichao Gao / Beijing Normal University / [Scientific Reports]Human-AI Adaptive Dynamics Drive Emergence of Information Cocoons
Jinghua Piao / Jiazhen Liu / Tsinghua University / [Nature Machine Intelligence]Predicting Individual Irregular Mobility via Web Search-Driven Bipartite Graph Neural Networks
Jiawei Xue / Purdue UniversityUrban Cup 2023
Join the fascinating journey towards computational urban science and share your insight from urban data!
Introduction
Welcome to Urban Cup 2023! We sincerely invite you and your team to join the fascinating journey towards computational urban science for sustainability and social good! With fine-grained data on urban mobility, local infrastructure, land use, gas emission, greenness, crime as well as poverty, health insurance, education attainment, etc., we welcome you to submit an original and publicly understandable depiction of urban phenomena, patterns, or connections concerning urban sustainability and social good.
Requirment
The findings should be aesthetically, scientifically, and accurately visualized based on your data analysis and described within 500 words in English. Two or more forms of the provided data should be used, and additional information (e.g., Internet activities) may but need not be linked to. Please also make sure to submit the source codes that guide you to your amazing discoveries.
Registration
Submit your poster work or join our Urban Cup competition to waive the registration fee!
Conference Venue
The 3rd Floor, Rohm Building, Tsinghua University / 清华大学罗姆楼（电子工程馆）3层
