In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.

This is the second course of “Four Facets of Contemporary Japanese Architecture” series, with the focus on the second facet: technology. The technology portion will focus on works by architects who explored the use of technology—from techniques used for traditional crafts to computational processes—as a vehicle for their investigations into the conceptualization and production of architecture. Tadao Ando, Shigeru Ban, Manabu Chiba, Kengo Kuma, Kazuhiko Namba, and Yusuke Obuchi will visit their buildings to discuss the ideas behind their respective works. Production Team Music by Jun Miyake Organized by (T_ADS) Kengo Kuma, Yusuke Obuchi, Toshihiko Kiuchi Filmed by Hiromoto Oka Translation Support by Thomas Daniell

In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.

随着第四次工业革命的到来，一系列新兴技术如大数据、人工智能、云计算、物联网、增强现实等，为研究城市提供了新的机会，拓展了其研究广度和深度。此外，这些颠覆性技术也对城市空间和日常生活产生了巨大影响，使城市研究客体自身发生了实质性改变。以此为背景，新城市科学应运而生，也让传统的城市科学焕发了新的生机。 本课程邀请了北京航空航天大学王静远教授、清华大学政治学系孟天广教授、城市象限 CEO 茅明睿、极海 GeoHey 平台总监崔福东、华为王鹏教授级工程师、美团研究院研究员厉基巍博士和中国社会科学院周瑜女士参与录制，旨在从学术业界多领域和多学科为大家扩展新城市科学的知识视野和前沿动态。 With the advent of the Fourth industrial revolution, a series of emerging technologies, such as big data, artificial intelligence (AI), Internet of Things (IOT), augmented reality (AR), provide new opportunities for studying cities and expanding their research breadth and depth. In addition, these disruptive technologies cast profound impacts on urban space and social life, and substantially change the research object of urban research. Under such background, the New City Science rises in response to the proper time and condition, and would revitalize the traditional urban sciences. Many guest lecturers are invited to record this course, such as Prof. Wang Jingyuan from Beihang University, Prof. Meng Tianguang from Tsinghua University, Mao Mingrui, CEO of Urban Quadrant (URBAN XYZ), Cui Fudong, Director of GeoHey, Prof. Wang Peng from Huawei and so on. It aims to expand the knowledge horizon and frontier dynamics for everyone from multiple fields and multiple disciplines.

In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.

In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities. This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning. We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model. This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.

随着第四次工业革命的到来，一系列新兴技术如大数据、人工智能、云计算、物联网、增强现实等，为研究城市提供了新的机会，拓展了其研究广度和深度。此外，这些颠覆性技术也对城市空间和日常生活产生了巨大影响，使城市研究客体自身发生了实质性改变。以此为背景，新城市科学应运而生，也让传统的城市科学焕发了新的生机。 本课程邀请了北京航空航天大学王静远教授、清华大学政治学系孟天广教授、城市象限 CEO 茅明睿、极海 GeoHey 平台总监崔福东、华为王鹏教授级工程师、美团研究院研究员厉基巍博士和中国社会科学院周瑜女士参与录制，旨在从学术业界多领域和多学科为大家扩展新城市科学的知识视野和前沿动态。 With the advent of the Fourth industrial revolution, a series of emerging technologies, such as big data, artificial intelligence (AI), Internet of Things (IOT), augmented reality (AR), provide new opportunities for studying cities and expanding their research breadth and depth. In addition, these disruptive technologies cast profound impacts on urban space and social life, and substantially change the research object of urban research. Under such background, the New City Science rises in response to the proper time and condition, and would revitalize the traditional urban sciences. Many guest lecturers are invited to record this course, such as Prof. Wang Jingyuan from Beihang University, Prof. Meng Tianguang from Tsinghua University, Mao Mingrui, CEO of Urban Quadrant (URBAN XYZ), Cui Fudong, Director of GeoHey, Prof. Wang Peng from Huawei and so on. It aims to expand the knowledge horizon and frontier dynamics for everyone from multiple fields and multiple disciplines.