’19 SZU MSU CityU Summer School

International Summer School 2019

Social Media and Health Communication

Co-organized by

School of Media and Communication, Shenzhen University

Health and Risk Communication Center, Michigan State University

Center for Communication Research, City University of Hong Kong

 

Health communication is an important field in communication research, and the rise of social media brings opportunities and challenges to the practice and research of health communication. Social media has greatly facilitated the production, distribution and sharing of health information, and has also established a new communication platform between patients or between patients and medical staff/medical institutions. At the same time, social media has also expanded and accelerated the proliferation of fake news or negative emotions about health issues. How to apply theories in communication and related disciplines (such as psychology and sociology) and the cutting-edge research methods (neuroscience, text mining, network analysis, etc.) to analyze and understand health communication phenomena on social media has become one of the research hotspots in the field of communication.

The School of Media and Communication of Shenzhen University, the Health & Risk Communication Center (HRCC) of the Michigan State University and the Center for Communication Research of City University of Hong Kong will jointly organize this International Summer School on Social Media and Health Communication. The International Summer School will explore how to apply classical theories on social influences and social norms in health communication research. It will also introduce how to apply neuroscience methods and computational methods to examine the processing of health information on social media by ordinary users. Moreover, it will discuss how to use mobile technologies to track and intervene in public health behaviors. The speakers will share the real data collected in their respective studies with the participants so that the participants can gain first-hand experience in empirical analysis of various types of data.

 

Date and Venue:

June 30, 2019 – July 6, 2019

School of Communication, Shenzhen University, Shenzhen City, China

 

Schedule (Tentative)

Date Morning Afternoon Evening
June 30th, 2019 Persuasion and Health Communication Programming in Computational Communication Research(I) —-
July 1st,

2019

Social Influence Theory and Health Communication Programming in Computational Communication Research(II) Workshop on Participants’ Research Projects(I)
July 2nd, 2019 Principles of Neuroscience Methods Application of Neuroscience Methods in Health Communication Research —-
July 3rd, 2019 Case Studies on Neuroscience Research and Health Communication Research Programming in Computational Communication Research(III) Workshop on Participants’ Research Projects(II)
July 4th, 2019 Social Networks and Health Communication Research Mobile Technologies and Health Communication Research —-
July 5th, 2019 Cases Studies on Mobile Health Research Social Media and Mental Health —-
July 6th, 2019 Computational Methods and Health Communication Research (I) Computational Methods and Health Communication Research (II)

 

Confirmed Speakers:

  1. Frank Boster: Professor at the Department of Communication, Michigan State University, Fellow of the International Communication Association
  2. Lei Hou: Research Fellow, Web Mining Lab, City University of Hong Kong
  3. Hai Liang: Assistant Professor, School of Journalism and Communication, Chinese University of Hong Kong
  4. Jingbo Meng: Assistant Professor, Department of Communication, Michigan State University
  5. Tai-Quan Peng: Associate Professor, Department of Communication, Michigan State University
  6. Ralf Schmäelzle: Assistant Professor, Department of Communication, Michigan State University
  7. Yan Zhang: Assistant Professor, School of Media and Communication, Shenzhen University
  8. Jonathan Zhu: Chair Professor of Computational Social Science, City University of Hong Kong, Fellow of the International Communication Association

 

Teaching Medium:

English

 

Eligibility:

Faculties or postdoctoral researchers in higher institutions, research staff in health organizations (including medical institutions, NGO, and pharmaceutical companies). Participants need to have basic knowledge of quantitative research and statistical analysis. Some programming experience is preferred.

 

Fee Policies:

This summer school is completely free for admitted participants. The participants will cover their transportation and accommodation expenses by themselves. In order to eliminate common absenteeism, the following policies will be implemented in the summer school: After the participants receive the admission notice, each participant must pay a deposit of RMB 1,000 in advance. The deposit will be returned to the participants if they complete all the courses. The absentee’s deposit will not be returned, but will be used to fund networking activities of the summer school.

 

Application:

Application Deadline: May 31, 2019

Notification: June 10, 2019

Please email the attached application form to szu2019@126.com

Contact: Dr. Yan Zhang

深圳大学传播学院

美国密歇根州立大学健康与风险传播研究中心

香港城市大学传播研究中心

联合举办

 

2019社交媒体与健康传播讲习班

 

健康传播是传播学研究中的一个重要的领域,而社交媒体的兴起为健康传播的实践与研究带来了机遇与挑战。社交媒体极大地便利了健康信息的生产、发布与分享,也为患者之间或患者与医护人员/医疗机构之间搭建了新的沟通平台。与此同时,社交媒体也扩大和加速了各种关于健康议题的假消息或者负面情绪的扩散。如何应用传播学和相关学科(比如心理学和社会学)的理论以及最新的研究方法(神经科学、文本挖掘、网络分析等)来分析和理解社交媒体上的健康传播现象与问题,已经成为了传播学界的研究热点之一。

 

深圳大学传播学院与密歇根州立大学健康与风险传播研究中心(Health and Risk Communication Center,简称HRCC)、香港城市大学传播研究中心(Center for Communication Research, 简称CCR)将联合举办“社交媒体与健康传播”暑期讲习班。本次讲习班既会探讨经典的社会影响(social influence)与社会规范(social norms)理论在健康传播研究中的应用,也将介绍如何应用神经科学方法(neuroscience methods)和计算方法(computational methods)来研究公众对健康信息的接受和处理,同时也会介绍如何应用移动媒介对公众的健康行为进行追踪与干预。本次讲习班的讲者将会与学员分享他们各自研究中收集的真实数据,以便学员获得对各种类型的数据进行“实战”分析的第一手的经验。

 

讲习班专题(暂定):

日期 上午 下午 晚上
2019年

6月30日

说服与健康传播 计算方法与编程(I) 自习
2019年

7月1日

社会影响理论与健康传播研究 计算方法与编程(II) 学员研究计划讨论与点评(I)
2019年

7月2日

神经科学研究方法的基本原理 神经科学研究在健康传播中的应用 自习
2019年

7月3日

神经科学与健康传播研究的实证案例分析 计算方法与编程(III) 学员研究计划讨论与点评(II)
2019年

7月4日

社会网络与健康传播研究 移动媒体与健康传播研究 自习
2019年

7月5日

移动媒体与健康传播研究的实证案例分析 社交媒体与心理健康 自习
2019年

7月6日

计算方法与健康传播研究(I) 计算方法与健康传播研究(II)

 

讲习班时间:

 

2019年6月30日 – 2019年7月6日

 

主要讲者:

  1. Frank Boster: 美国密歇根州立大学传播系教授,国际传播学会会士(ICA Fellow)
  2. Lei Hou: 香港城市大学互联网挖掘实验室研究员
  3. Hai Liang: 香港中文大学新闻与传播学院助理教授
  4. Jingbo Meng: 美国密歇根州立大学传播系助理教授
  5. Tai-Quan Peng: 美国密歇根州立大学传播系副教授
  6. Ralf Schmäelzle: 美国密歇根州立大学传播系助理教授
  7. Yan Zhang: 深圳大学传播学院助理教授
  8. Jonathan Zhu: 香港城市大学计算社会科学讲座教授,国际传播学会会士(ICA Fellow)

 

讲习班授课语言:

英文(为保证授课质量与效率,本次讲习班不提供任何翻译服务或设备)

 

地点:

深圳大学传播学院

 

面向对象:

高校新闻与传播学教师/博士后研究人员、健康组织(包括医疗机构、非政府组织、医药公司等)的研究人员。本讲习班为专题型,集中介绍相关原理、概念、研究设计和案例,辅之以基础方法和编程训练。学员需已经掌握定量研究和统计分析的基本知识,如有计算机编程能力更佳。

 

费用政策:

本讲习班不收任何费用。学员自理交通和食宿费用。

为了杜绝常见的缺席现象(如录取后不参加或参加后常缺席),本讲习班将实施如下政策:学员收到录取通知后,每人须预缴订位押金1000元,完成全部课程者的押金全数退回本人;而缺席者的押金则不予退回、而改用于出席学员的联谊活动。敬请有意者谨慎申请,非诚勿扰。

 

报名方式及联系人:

报名截止日期:2019年5月31日

录取公布时间:2019年6月10日前

报名方式:请填写以下中文报名表发送至:szu2019@126.com

联系人:张燕老师(电话:13686420109)

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