目录 Contents - ecst.com.cn · Pujiang Innovation Forum - 2016 International Forum on Technology...

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目录Contents

第一部分:基本信息Part I:Basic Information

前言Introduction

组织机构Organization

会议议程Program

第二部分:演讲嘉宾信息Part II:Speakers Introduction

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第一部分:基本信息Part I:Basic Information

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前言Introduction

浦江创新论坛—2016技术预见国际研讨会是受到上海市科学技术委员会等权威部

门支持,由中国科学技术发展战略研究院、上海市科学学研究所和联合国教育、科学

及文化组织联合主办的专业研讨会。

此次研讨大会作为2016浦江创新论坛的专题研讨会,以"大数据与技术预见"为主

题,聚焦大数据分析方法及其在技术预见中的应用。大会由为期一天半的大会报告组

成,由中国科学技术发展战略研究院院长胡志坚担任大会主席,邀请了来自政府主管部

门代表、院士、国内外业界知名研究机构、高校和企业的专家,就技术预见在大数据

时代的理念和方法创新、应用案例和遇到的问题展开讨论和交流。大会旨在为报告人

和参会者提供一个方法研讨、案例分享与研究合作的综合性平台,打造技术预见研究

界的一次盛会。

Pujiang Innovation Forum - 2016 International Forum on Technology Foresight (2016 IFTF), supported by the authorities like Science and Technology Commission of Shanghai Municipality, is a professional forum jointly held by Chinese Academy of Science and Technology for Development (CASTED), Shanghai Institute for Science of Science (SISS) and United Nations Educational, Scientific and Cultural Organization (UNESCO).

2016 IFTF, whose theme is "Big Data Analytics in Technology Foresight", is a part of Pujiang Innovation Forum 2016 (main forum to be held on 24 and 25, September). Pujiang Innovation Forum has been successfully held eight times at Shanghai since 2008 and attracted wide attentions and received favorable comments from industrial, academic and media communities.

We invite Hu Zhijian, President of Chinese Academy of Science and Technology for Development (CASTED), as our general chairman. At the same time, 2016 IFTF will discuss topics like "Big Data Analytics","Big Data and Technology Foresight" and "Technology Foresight and Innovation Policy" during the one day and a half plenary session with guests. both home and abroad. like representatives from the competent public authority, Academicains, top leaders and researchers from univerisities, R&D institutions and enterprises. 2016 IFTF will provide oppotunities for participants to communicate, to share and to cooperate through the forum and we will make it an event in the field of technology foresight research.

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组织机构Organization

主办单位 Hosts

中国科学技术发展战略研究院Chinese Academy of Science and Technology for Development

上海市科学学研究所Shanghai Institute for Science of Science

联合国教育、科学及文化组织United Nations Educational, Scientific and Cultural Organization

媒体支持 Media Supports

解放日报Jiefang Daily

《中国科技论坛》Forum on Science and Technology in China

《科技中国》Science and Technology in China

《世界科学》World Science

三思派Science-Pie

承办单位 Organizers上海交通大学安泰经济与管理学院Antai College of Economics & Management, Shanghai Jiao Tong University

中国科学学与科技政策研究会技术预见专业委员会The Committee of Technology Foresight, Chinese Association for Science of Science and S&T Policy

协办单位 Co-organizer上海科技会展有限公司Shanghai Technology Convention & Exhibition Co., Ltd.

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会议议程Program

浦江创新论坛—2016技术预见国际研讨会日程表Agenda – Pujiang Innovation Forum -

2016 International Forum on Technology Foresight

第一天Day 1

2016年5月13日(星期五)May 13, 2016(Friday)

主题：大数据与技术预见Theme: Big Data Analytics in Technology Foresight

大会主席:胡志坚,中国科学技术发展战略研究院院长General Chairman: Zhijian HU, President ,

Chinese Academy of Science and Technology for Development (CASTED)

主持人:骆大进,上海市科学学研究所党总支书记、副所长(主持工作)Host : Dajin LUO, Acting Vice Director , Shanghai Institute for Science of Science

08:00-09:00参会人员签到Registration

09:00-09:05上海交通大学党委常务副书记郭新立教授致欢迎辞Welcome Speech:Xinli GUO,Vice President,Shanghai Jiao Tong University

09:05-09:10上海市科学技术委员会领导致开幕辞Opening Ceremony Speech:Chief Officer,Science and Technology Commission of Shanghai Municipality

09:10-09:20中国科学技术发展战略研究院党委书记林新致辞Speech:Xin LIN,Secretary of the CPC Committee,CASTED

09:20-10:05

主题演讲:Yoslan NUR,联合国教科文组织科学政策和能力建设部项目专员Keynote Speaker: Yoslan NUR,Programme Specialist,Science Policy and Capacity Building Division Sciences Sector,UNESCO

题目:技术预见——大数据分析方法的应用前景Topic:Technology Foresight - Potential Use of the Big Data Analytics

10:05-10:15茶歇Coffee Break

日期:2016年5月13-14日Date: May 13-14, 2016

地点:上海交通大学安泰经济与管理学院(原包兆龙图书馆)Venue:Antai College of Economics & Management, Shanghai Jiao Tong University (Baozhaolong Library)

地址:上海市华山路1954号Address: No. 1954 Huashan Road, Shanghai

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10:15-11:00

演讲人:王宏广,中国科技发展战略研究院研究员Keynote Speaker:Hongguang WANG,Senior Researcher,CASTED

题目:中国第五次技术预测主要方法与特点Topic:Main Approach and Characteristics of the Fifth National Technology Foresight in China

11:00-11:45

演讲人:赵光,Gartner(中国)高管合伙人Keynote Speaker:Guang ZHAO,Gartner (China) Executive Partner

题目:编码经济的影响与应对策略Topic:The Impact of Programmable Economy and Its Countermeasures

12:00-13:30午餐&自由交流Lunch & Free Talk

主持人:王宏广,中国科技发展战略研究院研究员Host: Hongguang WANG,

Senior Researcher,CASTED

14:00-14:30

演讲人:Sylvain LEFEBVRE,巴黎高等电子研究所(法国)副教授Keynote Speaker:Sylvain LEFEBVRE,Associate Professor,Institut Supérieur d'Electronique de Paris (ISEP)

题目:大数据和大数据流处理Topic:Big Data and Big Data Streams Processing

14:30-15:00

演讲人:Pyoung Yol JANG,韩国科学技术政策研究所研究员Keynote Speaker:Pyoung Yol JANG,Research Fellow,STEPI

题目:基于大数据的未来融合服务创新Topic:Big Data-based Future Convergence Service Creation

15:00-15:30

演讲人:蒋正伟,阿里研究院数据专家Keynote Speaker:Zhengwei JIANG,Data Specialist,Ali Research

题目:DT时代的技术、经济和社会Topic:Technology,Economy and Society in the DT Era


主持人:周林,上海交通大学安泰经济与管理学院院长、教授、博导Host: Lin ZHOU, Dean, Antai College of Economics & Management,

Shanghai Jiao Tong University

15:40-16:10

演讲人:周岱,上海交通大学船舶海洋与建筑工程学院教授、博导Keynote Speaker:Dai ZHOU,Professor,School of Naval Architecture, Ocean & Civil Engineering,Shanghai Jiao Tong University

题目:技术预见在大学的尝试与实践—以上海交通大学为例Topic:Practising Technology Foresight in University (SJTU Case)

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16:10-16:40

演讲人:Edmund GERSTNER,自然出版集团大中华区执行主编Keynote Speaker:Edmund GERSTNER,Executive Editor, Nature journals,Greater China

题目:数据开放在中国的机遇与挑战Topic:Opportunities and Challenges for Open Data in China

16:40-17:10

演讲人:Sun-Hwa HAHN,韩国科学技术情报研究所主任Keynote Speaker:Sun-Hwa HAHN,President, Korea Institute of Science and Technology Information

题目:大数据时代的技术预见Topic:Technology Foresight in the Era of Bigdata

第二天Day 2

2016年5月14日(星期六)May14, 2016(Saturday)

主持人:Yoslan NUR,联合国教科文组织科学政策和能力建设部项目专员Host: Yoslan NUR,Programme Specialist,

Science Policy and Capacity Building Division Sciences Sector,UNESCO

09:00-09:30

演讲人:Kuniko URASHIMA,高级研究员,日本科学技术政策研究所预见中心副主任Keynote Speaker:Kuniko URASHIMA,Senior Research Fellow, Deputy Director of Foresight Center,NISTEP

题目:日本技术预见45年历程概览Topic:Overview of 45 Years foresight experiences in Japan

09:30-10:00

演讲人:Moonjung CHOI,韩国科技评价与规划研究所战略预见办公室主任Keynote Speaker:Moonjung CHOI,Director General at the Office of Strategic Foresight,KISTEP

题目:大数据方法在技术预见中的应用(韩国案例)Topic:Application of Big Data Methods in Technology Foresight (Korean Case)


10:10-10:40

演讲人:Waltraut RITTER,Knowledge Dialogues创始人Keynote Speaker:Waltraut RITTER, Founder,Knowledge Dialogues

题目:香港的研究数据管理Topic:Research Data Management in Hong Kong

10:40-11:10

演讲人:李万,上海市科学学研究所副所长Keynote Speaker:Wan LI,Vice Director,Shanghai Institute for Science of Science

题目:基于预见理念的科技创新管理(上海案例)Topic:STIManagement Based on Technology Foresight (Shanghai Case)

11:30-12:30午餐&自由交流Lunch & Free Talk

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组委会联系方式Contact：庄珺 Jun ZHUANG:136-3644-2304 丨汤琦 Qi TANG:135-6471-7185 丨许谷渊 Guyuan XU:139-1732-5920

注:主办方保留修改议程的权利信息更新日期:2016年5月9日Note: The Committee reserves the rights to modify the agenda. Update: May 9, 2016

参观考察:上海的科技园区和众创空间Visit:Hi-Tech Park and Group Innovation Space in Shanghai

13:00-16:00

参观考察:上海的科技园区和众创空间Visit:Hi-Tech Park and Group Innovation Space

参加对象:报告嘉宾和受邀代表Attendance:Keynote Speakers and Invited Guests

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第二部分:演讲嘉宾信息Part II:Speakers Introduction

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60年代出生于江西南昌,80年代起先后在上海交通大学电子工程系、复旦大学管理学

院、中国科学院研究生管理学院学习,获管理学博士学位。1987年在中国科学院研究生院任

教,1993年调入原国家科委(现为科学技术部),历任办公厅调研室助理调研员,政策法规与体制

改革司副处长、处长、副司长,办公厅巡视员,2009年11月任中国科学技术发展战略研究院党

委书记。现任中国科学技术发展战略研究院院长。

Zhijian HU was born in Nanchang, Jiangxi in the 1960s. From the 1980s, he studied

in Shanghai Jiao Tong University, Fudan University, and Chinese Academy of Sciences

(CAS), and received PhD Degree of Management. He had taught in CAS since 1987, and had

worked in Ministry of Science and Technology of the People's Republic of China since 1993.

Since 2009, he has worked in Chinese Academy of Science and Technology for Development

(CASTED), and is now the President of CASTED.

胡志坚 Zhijian HU

大会主席General Chairman

中国科学技术发展战略研究院院长President, Chinese Academy of Science and Technology for Development (CASTED)

简介(Biography):

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骆大进,现任上海市科学技术委员会发展研究处处长,上海市科学学研究所党总支书记、

副所长(主持工作)。先后参与主持上海市"十二五"、"十三五"科技发展规划的战略研究工作,

执笔起草多份上海市有关科技创新、高新技术产业化和张江高新区建设的规划政策文件,是

上海市建设具有全球影响力的科技创新中心总体方案和政策文件起草组成员。

Dajin LUO is Acting Vice Director of Shanghai Institute for Science of Science and

Director in the Department of Research Consulting at Science and Technology Commission

of Shanghai Municipality. He presided over strategic research on 12th five-year and 13th five-

year science and technology development plan of Shanghai, and wrote dozens of planning

policy documents related to S&T innovation, high-tech industries and high-tech zone

construction.

骆大进 Dajin LUO上海市科学学研究所党总支书记、副所长(主持工作)Acting Vice Director, Shanghai Institute for Science of Science

简介(Biography):

5月13日上午大会主持人AM 13th May Host

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5月13日上午大会演讲嘉宾AM 13th May Keynote Speaker

林新 Xin LIN中国科学技术发展战略研究院党委书记Secretary of the CPC Committee of Chinese Academy of Science and Technology for Development (CASTED)

简介(Biography):

林新，北京大学法学学士、民法学硕士，现任中国科学技术发展战略研究院党委书

记，曾任科技部政策法规司（创新体系建设办公室）副司长。长期从事科技创新政策法规

的研究制定工作，在科技创新政策、科研院所改革、知识产权政策等决策咨询方面有丰富

的实践经验，是若干重要法规和文件的主要起草者。兼任中国科协女科技工作者专门委员

会委员，兼任中国知识产权理事会、中国科技法学会副理事长。

Ms. Xin LIN graduated from Peking University. She is now Secretary of the CPC

Committee of Chinese Academy of Science and Technology for Development (CASTED).

She has been engaged in research of science and technology innovation policy, research

institute reform and intellectual property policy, and has a wealth of practical experience.

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Yoslan NUR

题目: 技术预见——大数据分析方法的应用前景

Topic : Technology Foresight - Potential Use of the Big Data Analytics

联合国教科文组织科学政策和能力建设部项目专员Programme Specialist, Science Policy and Capacity Building Division Sciences Sector, United Nations Educational, Scientific and Cultural Organization (UNESCO)

简介(Biography):

Nur博士就职于联合国教科文组织(UNESCO)自然科学部,从事科技政策和能力建设相关

工作,具体领域包括技术创新政策、科学普及、科技创新指数的监测和评估的南南合作等。

他协助UNESCO成员国制定国家创新体系战略计划,并提供技术援助,为发展科技园区等支持

基层创新的活动做出了重要贡献。

Dr Nur is a UNESCO Programme Specialist and working in the Division of Science

Policy and Capacity Building, Natural Sciences Sector. He holds a Masters and Ph.D. in

urban and regional development and an engineering degree in urban planning. He is a

focal point for several programmes related to science, technology and innovation (STI)

policy, including promoting a culture of innovation, popularization of science, South-South

cooperation of STI and STI assessment and monitoring.

Dr Nur has been assisting UNESCO's member States on the elaboration of strategic

plan of national innovation system, providing technical assistance and organizing capacity

building activities development of science parks and technology business incubators and

supporting grassroots innovation.

Dr Nur has been actively contributed in strengthening evidence base of STI policy

formulation. Within this contest, he is responsible for the creation the Science, Technology

and Innovation Global Assessment Programme (STIGAP), focal point for establishment

of the International Research and Training Center on Science and Technology Strategy

(CISTRAT), as a category 2 Center under the auspices of UNESCO, in Beijing, and organizing

in regular basis training workshop on STI assessment and monitoring.

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摘要(Abstract):

在过去的几十年里,技术预见已经作为世界各国政府的政策工具获得了广泛的应用。在

当前全球化、竞争加剧和科技变革的背景下,预见可以帮助发展中国家发现未来技术和产业

化的机会,从而实现跨越式的发展。目前,大数据的日益发展和应用已经获得了各方的关注,

其中也包括技术预见领域。在技术预见中使用大数据分析具有很大的潜力。本报告将分析

将大数据分析方法应用于技术预见带来的机遇和挑战。

Technology foresight has been widely applied as a policy instrument by Governments

around the world during the last few decades. There are different methodological

approaches to technology foresight, among others the Delphi method, simulations,

scenario-building and interviews. In the current context of globalization, competition

and fast technical change, foresight exercises can help developing countries to detect

opportunities for future technological and productive specialization to catch up, leapfrog

and forge ahead. The technology foresight exercises can help to anticipate forthcoming

technological trends and identify their economic and social impacts. It can also help

shaping the future in a desirable way that allows maximizing the benefits of technologies

while mitigating risks, and enable proactive and adequate social responses. Taking into

consideration, the potential to shape technological change and economic growth, foresight

exercises should be designed and implemented in coherence with national development

strategies, including industrial development.

On the other side, the use of big data analytics promises a wide number of social and

economic benefits across society. Big data analytics examines large amounts of data to

uncover hidden patterns, correlations and other insights. For these purpose several types

of technology are currently existing such as: data management, data mining, hadoop, in-

memory analytics, predictive analytics and text mining. Most likely big data analytics is

involved in different sector of activities, such as the travel and hotel industry, health care,

public services delivery by government, marketing, retail business, etc. Big data analysis

is frequently used to predict what will happen in the future. The increasing development

and application of big data has raised concerns regarding the specific issues related

to technology foresight. There is a great potential to use the big data analytics in the

technology foresight. The presentation will discuss challenges and opportunity to use the

big data analytics in technology foresight.

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王宏广 Hongguang WANG

题目: 中国第五次技术预测主要方法与特点

Topic : Main Approach and Characteristics of the Fifth National Technology Foresight in China

中国科技发展战略研究院研究员Senior Researcher, Chinese Academy of Science and Technology for Development (CASTED)

简介(Biography):

现任中国科学技术发展战略研究院副局级调研员,主要从事技术预测、创新政策研究。

出版学术著作22本,其中学术专著3本、学术编著16本、大学教材3本;发表论文105篇。1986

年提出"农业生态系统能量转化、物质循环计算方法", 1989年提出"作物生产潜力估算法",被

本科生全国统编教材引用;1991年提出"论用要素组合理论指导农业现代化",为优化农业要素

投入提供了理论与方法。2000年11月向科技部部务会提交《生物经济将引领新科技革命》

报告,比美国兰德公司提出"生物技术引领新科技革命"早了5年。2015年提出颠覆性技术、非

共识性技术、千亿元技术的预测方法,并在"国家第五次技术预测"中得到应用。2016年提出"

产业拐点四力推动理论"。提出"推动新的农业科技革命",并写入了时任总书记江泽民同志的

讲话稿(1997);"关于发展医疗器械产业的建议"得到胡锦涛、温家宝、李克强等党和国家领

导人的批示(2009),"第三次工业革命及我国对策"等到李克强总理的批示(2013)。担任《农业

科技发展纲要》(2001-2010)、《中华人民共和国生物安全法》起草组组长;参与《中共中央

国务院关于加速科技进步的决定》、《国家中长期科技发展规划纲要》等多份重要文件起

草工作。

Hongguang WANG works in Chinese Academy of Science and Technology for

Development (CASTED), mainly engaged in technology foresight and innovation policy. He

has published 22 academy books and 105 papers. His research has played an important

role in national science and technology strategies.

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摘要(Abstract):

中国第五次国家技术预测分技术评价、预测、选择三个阶段。第一阶段邀请3200多位

专家对分信息、生物、农业、先进制造等12领域的1326技术进行了评估,结果表明中国科技

基本格局是"三跑并存、跟踪为主",处于领跑水平的技术占16.3%,并跑技术占30%,跟跑技术

占53.7%。中国技术水平总体上相当于美国的68.4%;第二阶段动员专家30534人次,共填写

11.6万份问卷,对信息、生物、农业14个领域的2087项技术进行预测,预测了技术突破时间、

产业化及其经济效益;第三阶段通过召开高层专家研讨会等方法,针对14个领域共选择了280

项领域关键技术,在此基础上进一步遴选了100项国家关键技术。针对世界科技发展的大趋

势,预测了10项颠覆性技术和10项非共识性技术。技术评价与预测的结果已经在制定国家科

学技术发展第十三个五年规划、重大科技决策等工作中得到应用。

The fifth national technology foresight in China is divided into three stages, which are

evaluation, foresight and selection. According to the trend of world science and technology

development trend, 10 disruptive technologies and 10 non consensus technologies are

analyzed. The results of technology evaluation and prediction have been applied to major

decisions such as the 13th Five-year Plan of National Science and Technology.

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赵光 Guang ZHAO

题目: 编码经济的影响与应对策略

Topic : The Impact of Algorithm Economy and Its Countermeasures

Gartner(中国)高管合伙人Gartner (China) Executive Partner

简介(Biography):

赵光博士现任Gartner高管合伙人。他为中国高管领导提供Gartner最新研究和战略咨

询服务。在中国从要素经济转型到创新和知识型社会的过程中,很多私企、央企、国企和国

家核心部门的领导都面临巨大挑战,包括企业的技术创新、管理和维持可持续增长,增强政府

使命和规避风险等。Gartner研究表明技术与业务的融合对这些挑战会起到重要化解作用。

赵光博士可以指导高管、CIO和技术领导如何把科学与技术融入到政策、策略和流程中为提

高效率和企业转型中。赵博士尤其愿意与那些有全球视野的领导们并肩合作,他擅长制定策

略、树立领导力和辅导企业变革。具体重点在业务流程和技术对政府智慧化转型的作用,政

府IT, 绩效管理,IT策略,商务智能,业务创新和转型,数据分析,全球商务计算学以及无恐呵式领

导力等。

赵光博士于上世纪80年代末毕业于中国科学院,之后便继续出国深造并发展事业。在此

期间,赵博士曾在不同的机构和公司学习、工作,其中包括美国国会设立的夏威夷东西文化

中心、美国明尼苏达大学和密歇根科技大学以及德国慕尼黑科技大学和德国环境系统研究

所。就职Gartner公司之前,赵博士曾在美国国家政府机构工作长达18年之久,并担任多个职

务,包括国家注册副主任、首席信息官、局长、副局长、机构审查委员会主席以及部门负责

人。赵博士也一直活跃于专业和学术领域,并在多个政府机构、董事会、社团和大学担任高

级顾问或决策成员。2000年到2004年期间,赵博士曾担任中国科学院"百强科学家"项目的兼

职教授和博士生导师。自2005以来,他开始担任美国南卡罗来纳大学兼职教员。赵博士还撰

写或合作撰写了许多同行评议的科学出版物,其中不少文章都在著名的《科学》杂志上得以

发表。

Dr ZHAO graduated in Chinese Academy of Sciences (CAS) in late 1980s. He worked at the national government agency of America for 18 years, and is now a top management partner of Gartner. Gartner is the world's leading information technology research and advisory company. It delivers the technology-related insight necessary for its clients to make the right decisions. Executives, CIO and technical directors could then integrate science and technology and global view in their reform and policy making.

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摘要(Abstract):

数据与分析技术驱动算法商务模式日趋成熟,推动国家和全球层面编码经济时代来临,对

经济发展模式产生深远影响。政府应对算法商务和编码经济发展需要有新的思路和举措,国

内外政府和企业也在进行积极探索。

The data and analysis technology has driven algorithm business model increasingly

mature, promoting the era of coding economy in national and global level, and profoundly

impacting the economic development model. The government should have new ideas and

measures to deal with algorithm business and coding economy, which foreign governments

and enterprises are also exploring.

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5月13日下午大会主持人PM 13th May Host

王宏广 Hongguang WANG中国科技发展战略研究院研究员Senior Researcher, Chinese Academy of Science and Technology for Development (CASTED)

简介(Biography):

现任中国科学技术发展战略研究院副局级调研员,主要从事技术预测、创新政策研究。

出版学术著作22本,其中学术专著3本、学术编著16本、大学教材3本;发表论文105篇。1986

年提出"农业生态系统能量转化、物质循环计算方法",1989年提出"作物生产潜力估算法",被

本科生全国统编教材引用;1991年提出"论用要素组合理论指导农业现代化",为优化农业要素

投入提供了理论与方法。2000年11月向科技部部务会提交《生物经济将引领新科技革命》

报告,比美国兰德公司提出"生物技术引领新科技革命"早了5年。2015年提出颠覆性技术、非

共识性技术、千亿元技术的预测方法,并在"国家第五次技术预测"中得到应用。2016年提出"

产业拐点四力推动理论"。提出"推动新的农业科技革命",并写入了时任总书记江泽民同志的

讲话稿(1997);"关于发展医疗器械产业的建议"得到胡锦涛、温家宝、李克强等党和国家领

导人的批示(2009),"第三次工业革命及我国对策"等到李克强总理的批示(2013)。担任《农业

科技发展纲要》(2001-2010)、《中华人民共和国生物安全法》起草组组长;参与《中共中央

国务院关于加速科技进步的决定》、《国家中长期科技发展规划纲要》等多份重要文件起

草工作。

Hongguang WANG works in Chinese Academy of Science and Technology for

Development (CASTED), mainly engaged in technology foresight and innovation policy. He

has published 22 academy books and 105 papers. His research has played an important

role in national science and technology strategies.

20

5月13日下午大会演讲嘉宾PM 13th May Keynote Speaker

Sylvain LEFEBVRE

题目: 大数据和大数据流处理

Topic : Big data and big data streams processing

巴黎高等电子研究所(法国)副教授Associate Professor, Institut Supérieur d'Electronique de Paris (ISEP)

简介(Biography):

LEFEBVRE博士毕业于法国国立工艺学院计算机科学专业。主要研究领域包括:云计

算、分布式存储、大数据管理、负载均衡与调度等。

Diplomas2013 : Phd in computer Science, CNAM, Paris, « Load balancing services for the cloud :application

to multimedia data analysis »2010 : Master 2 MIAGE ISYDIS, PARIS XII, UPEC.Research areasCloud Computing,Distributed storage,Big Data management,Load balancing and scheduling,Employments2014 - … : Associate professor, ISEP, équipe RDI2010 - 2013 : Phd Student, LISITE – ISEP2007 - 2010 : Systems administrator, Essilor Int. (apprenticeship)Research Projects2010 – 2014 :Multimedia for Machine to Machine (MCUBE, http://mcube.isep.fr)

project, funded by FEDERResponsibilities: Design, programming and maintenance of the data analysis and

collection web platform, research on load distribution algorithms.Relevant Publications2015 :Sathiya Prabhu Kumar•Sylvain Lefebvre•Minyoung Kim•Mark-Oliver Stehr, Priority

Register: Application-defined Replacement Orderings for Ad HocReconciliation, SP Kumar, S Lefebvre, R Chiky, E Gressier-Soudan, CaLibRe: A Better Consistency-Latency Tradeoff

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for Quorum Based Replication Systems Database and Expert Systems Applications, 491-503.

2014 :Sylvain Lefebvre, Sathiya Prabhu Kumar, and Raja Chiky. Simizer: Evaluating

consistency tradeoffs through simulation. In Proceedings of the First Workshopon Principles and Practice of Eventual Consistency, PaPEC '14, pages 6:1--6:2, New York, NY, USA, 2014. ACM.

摘要(Abstract):

近些年来,社会网络、传感器网络、摄像系统和气象系统这些大型系统都在不断地产生

着数据。这也意味着数据以及数据之间的联系正变得越来越广泛。如此庞大的数据需要进

行分析、处理、存储。本报告将以数据流管理系统为重点,介绍当前大数据的最新分析技术

的最新进展。

Recent large scale systems, such as social networks, sensors networks, cameras

or weather information, are continuously generating data. This implies that data and

links between them are becoming extremely vast. Such huge quantity of data needs to be

analyzed, processed, as well as stored if necessary. In this talk, we will introduce recent

work on Big Data analytics technologies with a focus on data stream management systems.

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摘要(Abstract):

最近韩国政府已经将推动创意经济发展的问题提升到了国家层面。基于创意和科技,很

可能产生新的服务产业。而大数据是一个发现新兴服务产业的有力工具。本报告在介绍大

数据和大数据市场及安全服务概念和理论背景的基础上,提出了以大数据为基础的未来新兴

服务业产生的方向。在总结已有研究成果的基础上,本文最后提出了未来基于大数据的融合

服务创新未来的方向和任务。

Recently, the Korea government's national issue is to boost the Creative Economy. In

Creative Economy, it is important to create a new service industry based on the creative

idea and science & technology. In order to create a new service industry, it is important to

consider the Big data as a promising tool.

Moreover, the Korea government has a plan to open the public Big data more than

before under the vision 'Government 3.0'. Several ministries such as the Ministry of


Pyoung Yol JANG

题目: 基于大数据的未来融合服务创新

Topic : Big Data-based Future Convergence Service Creation

韩国科学技术政策研究所研究员Research Fellow, Science and Technology Policy Institute (STEPI)

简介(Biography):

Jang博士于2002年毕业于韩国浦项大学工业与管理工程专业,现就职于韩国科学技术政

策研究所。

Science and Technology Policy Institute(STEPI), Prime Minister's Office, Republic of KoreaEmail:[email protected]. Industrial and Management Engineering, Pohang University ofScience & Technology (POSTECH), 2002M.S. Industrial and Management Engineering, Pohang University of Science&

Technology, 1998B.S. Industrial and Management Engineering, Pohang University of Science&

Technology, 1996

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Science, ICT and Future Planning and the Ministry of Security and Public Administration

announced Big data policy direction for the Big data. Big data has various meaning

depending on the context and Big data is generally considered as high volume, high

velocity, and high variety information assets.

This presentation proposes the direction for the Big data-based future convergence

service industry creation. This research selected the security service industry based on

the impact and public nature of service industries. For this purpose, this presentation

investigates the concepts and theoretical backgrounds of Big data and Big data market and

security service industry.

In order to understand the nature and characteristics of security service, the

presentation performed the case studies. The framework of case studies includes

international security convergence services cases and Korean security convergence

services cases.

Based on the case studies, this presentation analyzes the patterns of future security

convergence service and creation structure. After summarizing the research result, this

presentation finally proposes the future direction and tasks for future Big data-based

convergence service creation.

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蒋正伟 Zhengwei JIANG

题目: DT时代的技术、经济和社会

Topic : Technology, Economy and Society in the DT Era

阿里研究院算法专家Data Specialist,Ali Research

简介(Biography):

阿里研究院算法专家,清华大学毕业后陆续在nVIDIA和UTRC从事图像和视频的分析处理

工作。2013年加入阿里巴巴,从事大数据尤其是电商数据的研究工作。

JIANG graduated from Tsinghua University. He is now an algorithm expert at Ali

Research. He was engaged in image and video analysis and processing in nVIDIA and

UTRC. In 2013, he entered Ali Research and is engaged in big data, especially focused on

the electronic business data research.

摘要(Abstract):

DT时代的技术、经济和社会",主要是描述在云计算、大数据、物联网、智能计算和移

动设备为特征的数据技术时代里面技术如何影响人们的生活、经济的发展和社会的治理。

"Technology, economy and society in the DT era" mainly describes how technology

influence people's life, economy development and social governance in the era of data

technology, which is characterized by cloud computing, big data, networking, and mobile

devices.

25

5月13日下午大会主持人PM 13th May Host

周林 Lin ZHOU上海交通大学安泰经济与管理学院院长、教授、博导Dean, Antai College of Economics & Management, Shanghai Jiao Tong University

简介(Biography):

1982年获复旦大学学士学位。1989年获美国普林斯顿大学经济学博士学位。曾在美国

耶鲁大学、杜克大学、亚利桑那州立大学、中国香港城市大学和清华大学等校任教。2006

年受聘为教育部长江学者讲座教授。2009年当选世界计量经济学会院士,是唯一获此殊荣的

中国大陆院校学者。2010 年任安泰经济与管理学院院长。

Professor Zhou Lin received a BA in Mathematics from Fudan University in 1982, and a

PhD in Economics from Princeton University in 1989. He has taught in Yale University, Duke

University, Arizona State University of USA, City University of Hong Kong and Tsinghua

University in China. He was elected member of Econometric Society in 2009 and was

named Dean of Antai College of Economics and Management in 2010.

26


周岱 Dai ZHOU

题目: 技术预见在大学的尝试与实践—以上海交通大学为例

Topic : Practicing Technology Foresight in University (SJTU Case)

上海交通大学船舶海洋与建筑工程学院教授、博导Professor, School of Naval Architecture, Ocean & Civil Engineering, Shanghai Jiao Tong University

简介(Biography):

博士,上海交通大学船舶海洋与建筑工程学院教授、博士生导师;上海市领军人才计划

学者,上海优秀学术带头人计划学者。主要研究方向为大跨度空间建筑结构、建筑结构风工

程、流固耦合相互作用及在海洋工程中的应用。发表期刊论文130余篇,其中SCI和EI收录期

刊论文100余篇;获教育部、上海市科技奖6项。主持国家自然科学基金和 "863" 高技术项目

等国家和部省级科研项目30余项。《空间结构》副主编,《振动与冲击》、《建筑科学与工

程》和《强度与环境》等编委。指导研究生获5篇上海市优秀博士/硕士学位论文称号。

Professor ZHOU works in Marine and Architectural Engineering College of Shanghai

Jiao Tong University, engaged in research of large span space structure, wind engineering,

fluid-solid interaction and the applications in ocean engineering. He presided over the

completion of 30 national and provincial research projects, and has a number of important

achievements.

摘要(Abstract):

技术预见通常由政府推动,大学主动开展技术预见在国内外尚不多见。创新是世界一流

大学的灵魂,技术预见能力反映创新能力。上海交通大学2016年值"双甲子校庆"之际,与国内

近10所著名大学协同合作,集智聚慧,主动开展"以问题为中心"的技术预见,鼓励独立思考和

奇思妙想,预测未来科技发展,畅想颠覆性技术;采用点面结合、重点征集与公开征集相结合,

积极探索技术预见的方式创新。活动得到社会各界的热烈响应和广泛共鸣,所征集的愈千项

科技预见呈现数量多、领域全、来源广、跨越时空大的鲜明特点,既有渐进式预见又有颠覆

性预见,既有短期、中期预见,又有远期远景预见。学校组织多领域专家学者对技术预见方案

进行多轮评审,百余项优秀技术预见脱颖而出。与此同时,采用定性和定量相结合的方法,系

统分析未来科技发展和前沿热点。从宏观角度分析科学研究的重大突破与热点主题、主要

国家和地区的科技发展规划和经费投入方向,从多个数据源中抽取热点主题;综合运用词频分

27

析、共现分析等文献计量学理论和方法,分析科学研究与技术发展前沿热点。选取海洋工程

装备、智能机器人、材料基因组、量子信息、高温超导、脑科学和智慧城市等典型领域进

行全球发展态势研究和前沿热点探测。大学主动开展技术预见取得圆满成功。多校协同联

合举办的"大学面向未来科学技术预见论坛"产生积极的社会影响;《一个甲子的畅想--面向

未来120项科技预见》一书汇聚了上述珍贵的创新火花和成果,对推进大众创新、万众创业

将发挥十分有益的作用。

Technology Foresight is usually organized by the government, and is rarely

spontaneously conducted by the universities. In 2016, Shanghai Jiao Tong University

cooperated with 10 famous domestic universities and promoted "problem focused"

technology foresight, to explore new method of technology foresight and to foresee

future development of science and technology. This activity has received a wide range of

response and recognition. We recieved more than one thousand progressive and disruptive

technology ideas, and more than one hundred items finally came into our newly published

book.

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印格致 Edmund GERSTNER

题目: 数据开放在中国的机遇与挑战

Topic : Opportunities and Challenges for Open Data in China

执行主编, 大中华区, 自然出版集团Executive Editor, Nature journals, Greater China

简介(Biography):

Ed于1997年获得悉尼大学物理学博士学位,并在悉尼大学、剑桥和萨里做了五年研究。

2002年加入自然出版集团,从事自然材料、自然物理和自然通信的编辑工作。2012年他到上

海帮助建成自然出版集团在中国大陆的第一个编辑部。作为大中华区的执行主编,他主要负

责在中国建立编辑团队,帮助中国科学家在世界一流期刊上发表自己的研究,并与中国研究界

建立更加紧密的联系。

Ed is a passionate advocate for science and the opportunities that new technologies

promise for open research. He obtained his PhD in physics from the University of Sydney in

1997, and spent five years in research at the Universities of Sydney, Cambridge and Surrey.

He joined Nature 2002 and has been an editor for Nature, Nature Materials, Nature Physics,

and Nature Communications. In 2012 he moved to Shanghai to help launch Nature’s first

editorial office in mainland China. As Executive Editor for Greater China, his mission is to

build a team of China-based editors from across the Nature family, to forge closer links

with the Chinese research community, to explain the benefits of open research and to help

Chinese scientists publish their research in the world’s best journals.

摘要(Abstract):

当前,呼吁科学家将他们的研究成果广泛共享的呼声已经越来越高。世界各地的投资者

们也在纷纷要求他们支持的科学家将研究数据存放在数据仓库。李克强总理最近指出:"开放

科学知识和培育下一代科研人员是我们未来的方向"。报告将围绕为什么投资者和科研机构

会希望数据开放,数据分享将会遇到的危险等展开讨论,并介绍目前出版商为鼓励研究者并取

得其信任所采取的举措。

The Open Access movement began with the belief that the fruits of research should

be available to all. Its aspirations have now grown, with calls on scientists to open up all

aspects of their research. Increasingly, funders around the world are requiring that the data

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obtained from the research they support be deposited in open data repositories. Premier

Li Keqiang recently declared that, "Open access to scientific knowledge and the nurturing

of next generation researchers are what are needed nowadays and fit well with our future

direction." I'll explain why funders and other institutions want their researchers to open

up their data, and some of the benefits this can bring to researchers. I'll cover some of the

dangers, both perceived and real, of sharing data. And I'll talk about some of the things that

publishers are doing to encourage and ensure researcher get the credit they deserve for

being more open.

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Sun Hwa HAHN

题目: 大数据时代的技术预见

Topic : Technology Foresight in the era of big data

韩国科学技术情报研究所主任President, Korea Institute of Science and Technology Information (KISTI)

简介(Biography):

HAHN博士2001年至今在韩国科学技术情报研究所担任首席研究员。她还曾担任国家

科技委员会专委会委员、韩国妇女科学家和工程师协会副主席、信息通信技术部与未来规

划委员会委员、总统科学技术顾问委员会成员。

WORK EXPERIENCEPrincipal Researcher, KISTI (2001 to current)President, KISTI (2014. 09 ~ current)Director General, Institute of Advanced Information Research at KISTI (2013 to 2014)Vice President, KISTI (2011 to 2012)Director, Research policy department, KISTI (2008 to 2011)Director, Information Technology Development Division, KISTI (2007 to 2008)Director, Knowledge Information Center, KISTI (2006)Head, S&T Trends Analysis department, KISTI (2003 to 2005)Head, Overseas Information department (2001 to 2002)

Senior Researcher, KORDIC (Korea R&D Information Center) (1997 to 2000)Team Leader, KOSEN Support Team, KORDIC (1999 to 2000)Researcher, Factual database team, (1997-1999)

Professor, University of Science and Technology (2004 to current)

EDUCATIONPh. D. Computer Science, KAIST, 1997M.S. Computer Science, KAIST, 1989B.S. Information Engineering, SungKyunKwan University, 1987B.S. Chemical Engineering, HanYang University, 1982

PROFESSIONAL CAREERS (Selected)2011 ~ 2014 National Science and Technology Commission, Professional Committee Member

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摘要(Abstract):

在大数据时代由于产生了海量的信息,我们希望将机器智能技术和大数据技术引入到技

术预见中,并采用人类专家和机器智能共同合作的方式来克服彼此的局限性。本报告将围绕

该智能服务平台,重点介绍该平台中数据采集、文本挖掘、标识解析、推理、复杂事件处理

和规范分析等多个模块,并围绕该平台是如何应用于技术预见等进行介绍。

In the era of big data, due to the enormous amount of information, domain experts are

struggling with timeliness and completeness in developing insights for the future. To cope

with these problems, we applied machine intelligence technology and big data technology

to make a technology foresight. Also, we introduced a methodology in which human experts

are collaborating with machine intelligence to overcome the limitations of each side. The

intelligent service platform, called InSciTe, includes data gathering, text mining, identity

resolution, reasoning, complex event processing, and prescriptive analytics modules.

In this talk, intelligent service platform based on the data-intensive analysis will be

introduced with several use cases in the domain of ICT, internet security, and healthcare as

joint works with NIPA, KISA, and KRIBB. CHI(Computer Human Interacting)-Delphi method

was applied for technology foresight.

2008 ~ 2014 Korea Women Scientists and Engineers' Association, Vice President2012 ~ Women in Technology and Engineering in Korea, Vice President2013 ~ 2015 National Science and Technology Commission,Professional Committee Member2013 ~ 2014 Ministry of Science, ICT, and Future Planning, Committee member of General Adjustment Committee 2013 ~ 2014 Presidential Advisory Council on Science & Technology, Council Member

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5月14日上午大会主持人AM 14th May Host

Yoslan NUR联合国教科文组织科学政策和能力建设部项目专员Programme Specialist, Science Policy and Capacity Building Division Sciences Sector, United Nations Educational, Scientific and Cultural Organization (UNESCO)

简介(Biography):

Nur博士就职于联合国教科文组织(UNESCO)自然科学部,从事科技政策和能力建设相关

工作,具体领域包括技术创新政策、科学普及、科技创新指数的监测和评估的南南合作等。

他协助UNESCO成员国制定国家创新体系战略计划,并提供技术援助,为发展科技园区等支持

基层创新的活动做出了重要贡献。

Dr Nur is a UNESCO Programme Specialist and working in the Division of Science

Policy and Capacity Building, Natural Sciences Sector. He holds a Masters and Ph.D. in

urban and regional development and an engineering degree in urban planning. He is a

focal point for several programmes related to science, technology and innovation (STI)

policy, including promoting a culture of innovation, popularization of science, South-South

cooperation of STI and STI assessment and monitoring.

Dr Nur has been assisting UNESCO's member States on the elaboration of strategic

plan of national innovation system, providing technical assistance and organizing capacity

building activities development of science parks and technology business incubators and

supporting grassroots innovation.

Dr Nur has been actively contributed in strengthening evidence base of STI policy

formulation. Within this contest, he is responsible for the creation the Science, Technology

and Innovation Global Assessment Programme (STIGAP), focal point for establishment

of the International Research and Training Center on Science and Technology Strategy

(CISTRAT), as a category 2 Center under the auspices of UNESCO, in Beijing, and organizing

in regular basis training workshop on STI assessment and monitoring.

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Kuniko URASHIMA

题目: 日本技术预见45年历程概览

Topic : Overview of 45 years Foresight experiences in Japan

高级研究员,日本科学技术政策研究所预见中心副主任Senior Research Fellow, Deputy Director of Foresight Center, National Institute of Science and Technology Policy (NISTEP)

简介(Biography):

Urashima博士2003年进入日本科学技术政策研究所(NISTEP)工作,同时也在名古屋大

学、岩手大学和开放大学担任兼职教授。目前她主要关注的研究领域是能源、环境可持续

发展基础上的未来发展。

Dr. Kuniko Urashima received the B.S. degree in Dept of Chemistry from Tokyo

University of Science, Japan and the M. Eng. and Ph.D. degrees in Dept. of Electrical

Engineering from the Musashi Institute of Technology in Tokyo, Japan. Her major is

plasma technologies for treatment of environmentally hazardous materials such as NOx,

SOx, PM, sewage water, waste etc. She joined the NISTEP in 2003 with prior professional

experiences in the fields of environmental pollutant treatment using plasma technology at

electric manufacturers, universities, national institutes, and a company in Japan, Canada,

the United States, and France. Also she has been working for Nagoya University, Iwate

University and The Open University as adjunct professor. Her current research interest is

future development especially sustainable society based on energy and environment.

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摘要(Abstract):

预见方法对于当前和未来的国家科技政策的判断至关重要。日本科学技术政策研究所

(NISTEP)自1971年以来从事技术预见工作已经45年。第十次技术预见调查设计了三种方法,

即愿景调查、德尔菲和情景规划。其中,愿景调查基于人口情况反映的是未来的理想状态,德

尔菲调查的重点在于技术和其水平,情景规划由各个领域的专家给出意见。

The future design is keen of strategy and it influences everywhere so that foresight

methods have deep relationships between current and future national S&T policies.

NISTEP has been conducting the Foresight for 45 years since 1971. The 10th Foresight

survey designs three methods, which are "Vision", "Delphi" and "Scenario planning" survey.

The Vision survey considers actual and desirable future, based on such data as populations,

life expectancy and so on. The Delphi survey is focusing technologies and it is "quantities"

method, consisting of many stakeholders from academy, industry, national institution, NPO

etc., which involve approximately 4,000 experts. The Scenario survey is covered of quantities

in the Delphi survey, and it develops opinion of experts by each fields. The results show that

international collaboration must consider a different framework and is enhanced by many

stakeholders with concerning of future society.

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摘要(Abstract):

韩国技术预见每五年进行一次,目前已经成为科学技术计划制定过程中确定国家战略性

关键技术的重要环节。2015年韩国举行了第五次技术预见活动,预测了未来25年的关键技术,

实施时间以及所需的政府政策。本次预见利用2600万篇新闻报道对主要问题进行了网络分

析,大数据分析方法在其中起到了找出未来问题之间关系的重要作用。

Technology Foresight (TF) in Korea is performed every five years and has become a

key process in setting the S&T Basic Plan. The S&T Basic Plan determines the national

strategic technologies through reflecting on future technologies of TF.

The fifth TF has been pursued from 2015. It forecasts the future up to 2040 and is

processed in three stages. The first stage forecasts the future of Korean society and

examines future needs. The second stage identifies future technologies and the Delphi

survey is conducted at the final stage to examine the technological implementation

time, the main actors for technological development, governmental policies required for

Moonjung CHOI

题目: 大数据方法在技术预见中的应用(韩国案例)Topic : Application of Big Data Methods in Technology

Foresight (Korean Case)

韩国科技评价与规划研究所战略预见办公室主任Director General at the Office of Strategic Foresight, Korea Institute of S&T Evaluation and Planning (KISTEP)

简介(Biography):

CHOI博士毕业于俄亥俄州立大学食品科学与技术专业,又5年实验室研究经历。目前在

韩国科技评价与规划研究所(KISTEP)工作几经14年。在此期间,她参与了国家科技计划的中

技术预见和技术评估的相关工作。

Moonjung has fourteen years' experience at KISTEP. For eleven of those fourteen

years, she participated in National S&T planning-related works that includes technology

foresight, technology level evaluation, and technology assessment. She earned her Ph.D.

in Food Science and Technology of the Ohio State University and had 5 years' experience

in research lab. She applies this scientific background to set up effective strategies for

National S&T policy through her role as Director General at KISTEP.

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implementing technologies, etc.

Big data analysis was applied to figure out the relationship between future issues. The

network analysis between major issue key words was pursued by using 26 million news

articles. The emerging issues were identified and the results were used to analyze future

needs of major issues.

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Waltraut RITTER

题目: 香港的研究数据管理

Topic : Research Data Management in Hong Kong

Knowledge Dialogues创始人Founder, Knowledge Dialogues

简介(Biography):

Ritter是Knowledge Dialogues的创始人,专门在大学、政府和企业之间从事创新、知识,

以及香港和亚太地区智力资本相关的研究和咨询服务工作。此外,她是知识管理国际委员会

成员,并服务于香港特别行政区政府数码资讯科技策略咨询委员会。近期开展的项目包括亚

洲开放数据策略分析、香港创新政策发展等。

Waltraut Ritter is founder of Knowledge Dialogues, specializing in research and

advisory services relating to innovation, knowledge, intellectual capital in Hong Kong and

the Asia-Pacific region. She works on innovation projects at the intersection between

universities, government and business. Recent projects included an analysis of Open Data

strategies in Asia, innovation policy development in Hong Kong, as well as building public

sector capabilities in Myanmar.

She is visiting faculty in the international Ph.D. programme in knowledge and

innovation management at the Bangkok University, and guest lecturer in the M.Sc. in

Innovation Management Programme at the Singapore Management University. She holds

an MA in Information Science and Sociology from the Free University of Berlin and an MBA

from Anglia University, Cambridge.

She is a member of the International Council on Knowledge Management (ICKM),

the Euro-Asia Management Studies Association and the APSTN (Asia Pacific Science,

Technology and Society Network). Ritter also serves on the Digital21 Strategy Advisory

Committee of the HKSAR government.

Ritter conducts customized research projects for ThomsonReuters, Economist

Intelligence Unit, Arup, Bosch, Google, IBM, as well as for international organisations such

as OECD, ADB, UNESCAP.

Knowledge Dialogues

www.knowledgedialogues.com

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摘要(Abstract):

对科技创新发展趋势的准确把握,是做好科技创新决策的重要前提;对科技发展未来形成

共识性愿景,是实施科技创新管理的重要基础。早在20世纪80年代,上海就开展过预见相关活

动。进入21世纪,上海持续开展区域预见活动,积累了知识经验,传播了理念方法。近年来,基

于累积效应,区域预见活动开始对各类科技创新活动和管理主体产生相应的影响。以预见为"

起点"的科技创新管理"闭环"正在形成。

Shanghai has been carrying out regional foresight activities and has so far

accumulated experience and spreaded ideas and methods of technology foresight to the

general public. In recent years, based on the cumulative effect, regional foresight activities

have affected all kinds of science and technology innovation activities. A closed cycle of S&T

innovation management is being formed with foresight as a starting point.


李万 Wan LI

题目: 基于预见理念的科技创新管理(上海案例)Topic : STI Management Based on Technology

Foresight in Shanghai

上海市科学学研究所副所长Vice Director, Shanghai Institute for Science of Science

简介(Biography):

李万,上海市科学学研究所副所长、研究员,中国科学学与科技政策研究会理事、技术预

见专业委员会主任。长期从事科技战略与规划、技术预见、创新政策等方面的研究工作,主

持或参加了数十项国家及上海市重点软科学与决策咨询研究项目。自2001年开始,一直参加

上海区域技术预见研究工作,主持或参加了三次未来15年中长期技术预见(2004年、2009年、

2014年)、国家产业技术路线图(2008~2009年)、重点领域技术预见、重大专项战略性技术路

线图等。在技术预见领域主持或参加编著了多本专著,发表论文十多篇。

Mr Li is Vice Director of Shanghai Institute for Science of Science. He has engaged

in research of science and technology innovation for a long time, especially specialized

in fields of technology foresight and technology road map. Since 2001, he promoted

the development of regional technology foresight in Shanghai and achieved significant

progress.

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