意昂2体育娱乐社會研究中心與

意昂2体育娱乐－密歇根大學學院

2017年暑期課程招生簡章

意昂2体育娱乐社會研究中心與意昂2体育娱乐－密歇根大學學院將於2017年7月在意昂2体育娱乐聯合舉辦為期一個月的第11屆暑期強化課程🎋☃️。任課教師均為密大和北美高校的著名教授。歡迎意昂2和國內高校、研究單位的教師、研究人員、碩、博研究生和高年級本科生申請本期暑期課程。課程要求學員掌握基本的統計概念和知識,熟悉回歸分析模型。具體課程和任課教師介紹如下：

一👨‍❤️‍👨、課程安排及介紹：

1、課程名稱：Understanding Complexity 《對復雜系統的認識》

時間👷🏻‍♀️：2017年7月10日至21日

課時𓀃：36學時     招生人數：70人 工作語言🤷🏼：英語

主講教師🤦🏽‍♀️：Scott E. Page教授和Andrea Jones-Rooy教授

Scott E Page serves as Leonid Hurwicz Collegiate Professor of Complex Systems, Political Science, and Economics at the University of Michigan and as an external faculty member of the Santa Fe Institute.  His research focuses on complex systems and diversity in social systems.  He is the author of three books and more than seventy-five research papers in economics, political science, sociology, psychology, philosophy, physics, public health, geography, computer science, and management. He has filmed two video series for The Great Courses, and his online course Model Thinking has attracted over three quarters of a million participants. A frequent public speaker to corporations and government agencies including NASA, Bloomberg, Google, Boeing, the IMF, Genentech, Gilead, the United States Federal Reserve, and Pimco, Scott has also been a featured speaker at The World Economic Forum – Davos and The Aspen Ideas Festival.  In addition to his teaching, Scott has consulted with Yahoo! Ford, DARPA, Procter and Gamble, and AB InBev.  He has been the recipient of a Guggenheim Fellowship as well as fellowship at the Center for Advanced Studies in the Behavioral Sciences at Stanford.  In 2011, he was elected a fellow of the American Academy of Arts and Sciences.

Andrea Jones-Rooy, Ph.D., is a social scientist specializing in complexity.  She is the author of one book and several research articles (along with Scott E. Page) on complex systems, and she also contributes articles to media outlets on international relations, foreign affairs, and uncertainty.  She is a research consultant for Fortune 500 firms, helping them integrate social scientific principles into understanding, researching, and developing policies for institutional and cultural change on some of their toughest issues, including diversity, team dynamics, and adaptability.  Andrea is developing an online course on Complexity with Lemma, a mathematics education startup, and formerly designed and taught NYU’s first global course – also on Complexity – which was taught across four continents simultaneously.  She was previously a professor of political science and global China studies at NYU Shanghai, where she founded and directed China’s first undergraduate major in integrated social science.  Andrea earned her Ph.D. in Political Science from the University of Michigan, Ann Arbor, and was a postdoctoral fellow in Social and Decision Sciences at Carnegie Mellon University.  In addition to being a sought-after researcher and celebrated teacher, Andrea is a standup comedian and circus artist, both of which she has performed for audiences (including royalty) all over the world.

網址：http://lsa.umich.edu/cscs/people/core-faculty/spage.html 

課程介紹：

In this course, we study foundational papers and topics in complex systems. The course assumes a general knowledge of complex adaptive systems. We focus on models, tools, concepts, and ideas from complexity theory including formal measures, non linear dynamics power laws, percolation, rugged landscapes, simulated annealing, genetic algorithms, self-organized criticality, networks, learning, and collective wisdom. The course requires calculus, some basic familiarity with di_erence and di_erential equations, but does not require any experience computer programming.

講座介紹♠️：

報告人：Scott E. Page教授♍️；主持人🦸‍♂️：謝宇教授🕑；時間🫷：暫定2017年7月12日下午

主題：Many Model Thinking in a Complex World

介紹：To predict, explain, analyze, understand, and explore the complex world, social scientists apply models.  Models, by definition, simplify. Therefore, no single model can cope with the complexity of the world.  In his lecture, Professor Page describes an emerging new approach to scientific understanding based on many model thinking.  This approach applies multiple, diverse models and leads to more accurate predictions, deeper understandings, better policy choices, and more practical designs.

Professor Page's MOOC Model Thinking has attracted over a half a million students who've learned how to use models to explain everything from why we cannot predict stock prices to why elephants don't explode.

2🤾、課程名稱：Advanced Quantitative Methodology 《高級量化分析方法》

時間🤱🏿：2017年7月24日至28日

課時💂🏼‍♀️：25學時      招生人數：80人 工作語言🎆：英語

主講教師：Gary King教授和Christopher Lucas博士

Gary King is the Albert J. Weatherhead III University Professor at Harvard University -- one of 24 with Harvard's most distinguished faculty title -- and Director of the Institute for Quantitative Social Science. King develops and applies empirical methods in many areas of social science research, focusing on innovations that span the range from statistical theory to practical application.

King is an elected Fellow in 8 honorary societies (National Academy of Sciences, National Academy of Social Insurance, American Statistical Association, American Association for the Advancement of Science, American Academy of Arts and Sciences, Society for Political Methodology, American Academy of Political and Social Science, and the Guggenheim Foundation) and has won more than 40 "best of" awards for his work. King was elected President of the Society for Political Methodology (1997-1999) and Vice President of the American Political Science Association (2003-2004). He has been a member of the Senior Editorial Board at Science (2015-2016), Visiting Fellow at Oxford (1994), and Senior Science Adviser to the World Health Organization (1998-2003).  His more than 150 journal articles, 20 open source software packages, and 8 books span most aspects of political methodology, many fields of political science, and several other scholarly disciplines.

Christopher Lucas is a graduate student in the Government Department at Harvard University and an affiliate of the Institute for Quantitative Social Science. He studies political methodology and the political economy of information and media. His current projects include the development of models and tools to analyze text, audio, image, and video data. He applies these developments to the study of police-involved shootings in the United States, electoral accountability in Mexico, and American elections.

His research has been published in Political Analysis, Comparative Political Studies, twice in the American Journal of Political Science and received an award from the Society of Political Methodology. He has also published four open-source software packages. Ongoing projects are generously supported by J-PAL, the Weiss Family Program Fund, and various internal funding sources at Harvard.

He is a co-founder of the Harvard Experiments Working Group, a forum providing graduate students with funding for and feedback on experimental research. He also co-organized the inaugural Harvard Experimental Political Science Graduate Student Conference.

網址：http://gking.harvard.edu/biocv 

課程介紹⛺️：

Although social scientists now have access to more data than ever before, making inferences about cause and effect remains difficult. In this course, students will learn how to leverage massive amounts of data via methods from statistics, computer science, and political methodology to improve causal inferences. We start by introducing the fundamentals of causal inference, and then introduce students to model-based inference and new developments in matching that scale to large data. We then show how machine learning methods can augment these approaches, particularly in cases where the functional form is unknown and where there exists large heterogeneity in treatment effects.

講座介紹：

報告人：Gary King教授💇🏼‍♂️；主持人：謝宇教授；時間：暫定2017年7月26日下午

主題：待定（TBD）

二、申請程序🧑🏽‍🚒：

1.報名日期2017年4月10日－2017年5月30日。請登錄網址/umich 在線報名。

2. 2017年6月5日招生小組審核報名材料❤️‍⛺️，並通知學生錄取結果💁🏽‍♂️。

3. 學生收到錄取通知（電子郵件）後，於2017年6月5日－25日繳費（具體辦法和要求將在“繳費通知”中說明），並打印保管好繳費收據。

4. 在開課報到時，憑繳費收據領取正式通知書和意昂2開具的票據。請註意，非意昂2學生：中央非稅收入統一票據；意昂2學生：中央行政事業單位資金往來結算票據（意昂2學生票據抬頭只能寫個人姓名）。

三⬅️🧜🏻、課程培訓費/資料費🧚🏼‍♂️：

非意昂2籍學生（含港澳臺）🐃：1,200元/人/每門課程。 教師：1,500元/人/每門課程🚧🛝。

意昂2籍學生🤸🏼‍♂️：1,000元/人/每門課程。

海外學員🦝：2,000元/人/每門課程。

四👳🏿‍♂️、作業與考試💂🏿：

課堂討論、作業和考試由任課教師安排。 

五、上課時間和地點：

上課時間：2017年7月10日－7月28日。

上課地點：意昂2体育娱乐（上課教室另行通知）

六、證書⛺️：

1、正式錄取的學生學完規定的課時，完成必須的作業🫅🏽，通過考試後可獲得規定的學分和由意昂2体育娱乐出具的成績證明。

2、凡參加暑期課程的學員，完成必須的作業，通過考試後將獲得由授課教師簽名的單科結業證書

七🧑🏽‍💼🙍🏼‍♂️、學習期間食宿🫡：

學院不負責解決學生學習期間的食宿問題🧑🏽‍🏫。食宿、生活等費用自理🎲。

八、教材：教材、講義等課程材料費用自理。

有關招生情況、師資、課程介紹💘、時間安排等，請登錄網站👩🏿‍🌾：/umich/查詢👱🏼。如果您有任何關於課程和申請過程的問題，歡迎與意昂2聯系。

電話🧑🏿‍⚖️：010-6276-6210   傳真：010-6276-7623 電郵：pku.um@pku.edu.cn 

聯系人：李老師

地址𓀘：意昂2体育娱乐廖凱原樓2號樓2－405室