大数据方法已经在计算机领域之外得到成功应用，其必将深远影响公共服务部门的运行和管理方式，提供新的方法和工具，乃至形成新的数据驱动的思维。
在此暑期学校中，以“大数据+机器学习如何提升政府公共服务能力”为主题，介绍大数据驱动方法的基本假设、模型和应用方法，展示其如何在公共管理的各个领域发挥作用，通过典型案例分析引导学生建立用大数据方法和机器学习模型解决公共管理实际问题的思维和能力。
时间和地点：
2018年7月28日-8月1日，中国浙江杭州，浙江大学紫金港校区。
招生对象：公共管理专业（或其他相关社会学科领域）的研究生，包括海外大学或科研机构的在读研究生。
招生人数：50人。
在5天的时间中，我们将：
1. 教授公共管理专业学生（及其相关的交叉领域学生）数据分析、机器学习等方法和应用工具，前3天以逻辑上相关，内容上层层递进的专题讲座为主，第4天以实地调研和案例分析为主（联系杭州“最多跑一次”示范单位实地考察）；
2. 第5天小组活动，以Hackthon的形式，对一个具体问题，快速设计原型方案。
3. 促进国际交流，拓展参与学生的学术和专业视野，启发创新思维。
课程和活动安排：
第一天：
• 上午：大数据分析链条之一
o 数据收集、清理和增强方法
o 特征提取、因素分析和关联分析
• 下午：大数据分析链条之二
o 数据可视化
o 数据应用和公共服务商业模式
第二天：
• 上午：机器学习方法
o 分类方法和回归方法
o 统计方法
• 下午：神经网络和深度学习等
o 神经网络和深度学习
o 复杂网络分析
第三天：
• 上午：大数据驱动的公共服务模式创新
o 协同治理、数据财政、流程优化等案例分析
• 下午：大数据驱动的商业模式创新
o 智慧城市建设案例分析
第四天：“最多跑一次”示范单位（大数据局）实地考察和案例分析。
第五天：公共邮件问题Hackthon小组活动。
暑期学校将为海外学生提供住宿，并为部分海外学生提供机票补助。
咨询和报名方式：
请将包含联系方式的个人简历发送到chao.wu@zju.edu.cn
Summer School of Big Data Driven Public Affair Research Methodology
The big data method has not only been successfully applied in the computer science, but also has had profound influence on the way of operation and administration of the public service department, provided new methods and tools, and has been forming new data-driven thinking.
In this summer school, with the theme of “Improve the Government's Public Service Capabilities with Big Data + Machine Learning, we will introduce the basic assumptions, models, and applications of big data-driven methods and will show how these methods work in various areas of public administration. Typical case studies will lead students to create their outlook and abilities of using big data methods and machine learning models to solve practical problems of public administration.
Time and place:
28th July- 1st August, 2018, Zijingang Campus, Zhejiang University, Hangzhou, Zhejiang, China,
Enrolment targets: Postgraduates in public administration (or other related fields of social studies), including graduate students from overseas universities or research institutes.
Number of enrolment students: 50.
In 5 days, we will:
1. Teach methods and tools for data analysis, machine learning, etc. for students of public management majors (and other related, cross-domain students). In the first three days, we will mainly have some logically related, progressive featured lectures. From day 4, we will focus on field surveys and case studies (field visits to one-stop service model unit in Hangzhou);
2. In day 5, we will have group activities, in the form of Hackthon, to quickly prototype a specific issue.
3. promote international exchanges, expand the academic and professional perspectives of participating students, and inspire innovative thinking.
Courses and activities:
Day 1:
• Morning: The Big Data Analysis Chain I
o Methods of data collection, cleansing and enhancement
o Feature extraction, factor analysis and correlation analysis
• Afternoon: The Big Data Analysis Chain II
o Data visualization
o The Business and Public Service Model of Data Application
Day 2:
• Morning: Machine Learning Methods
o Classification and regression methods
o Statistical methods
• Afternoon: Neural networks and Deep learning
o Neural network and Deep learning
o Complex network analysis
Day 3:
• Morning: Innovation of Public Service Model driven by Big Data
o Case studies on collaborative governance, data finance, and process optimization
• Afternoon: Innovation of Business Model driven by Big Data
o Smart City Case Study
Day 4: Field visits to “one-stop service” (Big Data Bureau) model unit and case studies.
Day 5: Hackthon group activities: analysis of public mail
The summer school will provide accommodation for overseas students and provide flight subsidies for some selected overseas students.
Inquiries and registration:
Please send your resume with your contact details to chao.wu@zju.edu.cn