【杜帅楠 撰稿】 2012年4月23日下午第五届中韩“危机与理论”研讨会第三场报告开始了,本场报告的主持人是来自天津师范大学的强恩芳老师。 第一个报告是来自辽宁师范大学的孙康老师,她报告的题目是《Research on Adverse Selection Behavior of Chemical Workers》,她的报告分为四个部分,首先介绍了研究该问题的研究动机,然后在第二部分介绍了逆向选择的模型,并对该模型进行了详细的解释,在第三部分从近年来发生的化工工人安全事件的角度出发,对2000-2010年的数据分析,认为工人的逆向选择行为诱导Peltzman 效应,并在此部分介绍了一些发生在大连的化学事故。最后总结部分,指出Peltzman 效应在中国化工产业中是存在的,并简要说明了产生这种效应的可能原因等。之后,由来自韩国的李在恩教授做了精彩的点评。 第二个报告是来自韩国忠北国立大学的Min Woo Kim教授,他报告的题目是《Improvements on the Safety Related Legislation of Food》。首先介绍了他们研究这个问题的动机,并希望通过食品安全的法律体系,实现食品安全;第二部分介绍了产生食品安全事故的原因以及此类事件的特点;第三部分主要阐述了韩国食品安全法律体系的一些内容,然后在接下来的一部分内容说明了韩国食品安全法律体系存在的问题以及可改进之处。因为食品是人类生活不可或缺的必需品,所以他们认为政府应该通过监督和管理食品安全来确保人们的生命安全。报告结束之后,来自中国的迟菲博士对其报告内容做了很好的评述。 第三个报告是来自韩国延世大学的Byun, Sung Soo博士的报告,他报告的题目是《Poverty as Global Crisis: Research Direction and Type of Poverty》。无论是发达国家还是发展中国家都存在贫穷问题,这些问题可以从经济、政治、文化历史等方面检测出来,而且不同国家的方式是不同的。因此,可根据不同国家的弱势阶层把贫困分为儿童贫穷、妇女贫穷、老年人与残疾人的贫困、劳动贫困等类别。然后在第二部分他详细介绍了分类后的各个类别,在报告的最后一部分总结道贫穷需要设定一个目标和方向,并提出一些如制定扶贫计划等的建议。报告结束后,由来自中国的李月华进行了精彩的评述。 最后一个报告来自河南大学的杜帅楠,她报告的题目是《Comparative analysis of “Relationship” based on the “Responsibility, Power, Profit and Emotion”:take Government and enterprises as example》。她的报告从关系的定义出发,介绍了关系在不同标准上的分类,并把关系的影响因素分为责任、权力、利益和情感四个方面,在自然和给定的角度上,认为情感是楔形的、责任是对楔形的、权力是倒楔形的、利益是双楔形的,并分别进行了分析。在此基础上,又分别对政府和企业内部的关系从责任、权力和利益、情感方面分别进行了比较研究。认为政府内部的关系是建立在权力和责任基础之上的。对于企业,将其分为家族式企业和非家族式企业两个类别进行了分析,认为前者是建立在利益和情感关系上的,而利益和情感中哪种关系会起到更加重要的作用取决于利益相关者的个性、环境等因素;后者主要是建立在利益关系的基础之上。该报告结束之后,由来自韩国的Min Woo Kim教授进行了点评。 最后是会议闭幕式,陈安研究员和李在恩教授致闭幕词,并互相交换了礼物。本次会议于下午18:00左右结束。
2011年10月17日,应急管理创新团队在北京城市系统工程研究中心聆听了国际应急管理协会主席K.Harald Drager先生的报告,报告主题是“Worldwide Activities and Organizations in Emergency and Disaster Management and Crisis Response”。国际应急管理协会在华盛顿成立于1993年,其宗旨是“促进新技术与新方法的信息交流,增强规避、减轻、响应和恢复的能力以应对自然与人为的灾害”。 Drager先生此次报告介绍了三个方面的内容。 首先,Drager先生向我们介绍了应急管理中灾难(Disaster)、突发事件(Emergency)、应急管理(Emergency Management)等概念的含义,如他对应急管理的定义是应急管理是一个跨学科研究的通用名称,是研究怎样处理战略性的组织管理过程,以保护组织重要资产免受风险灾害等情况发生时而遭受损失,并且确保组织按其计划持续成长。对于目前国际组织和各国的应急灾难管理研究概况Drager先生也做了大体介绍。 其次,Drager先生向我们详细介绍了国际应急管理协会,包括每年举行的国际大型会议和研讨会日程,在国际范围内的研究计划和资助情况,及未来的规划事件等。其中详细介绍了国际应急管理协会的国际组织和机构及其各地的分会的情况,如美国的OCHA(Office for the Coordination of Humanitarian Affairs)机构,其主要负责联系和团结众多人道主义者,以确保对一些紧急突发事件的有序处理,另外该机构还负责建立一个框架协议以便每个人道主义者能为突发事件快速相应贡献力量。Drager先生还特意提供了国际应急管理协会下属各机构及分会的网站地址。 最后,Drager先生明确了本次报告的目的是想告诉大家“去哪儿找应急管理信息,联系谁,及目前世界在应急管理研究方面不同的方法是什么”等,并且激发大家为更好的交流经验和知识而多多进行国际合作。 报告结束后,在座的老师和同学分别就自己关心的问题向Drager先生进行了提问,Drager主席都一一作了详细的回答。
2011 年 4 月 11 日- 13 日,应台湾“中央研究院”和 START 组织( Global Change System for Analysis, Research Training )的邀请,应急管理创新团队硕士生王光辉赴台参加了 Second International Conference on Cities at Risk: Building Adaptive Capacities for Managing Climate Change Risks in Asian Coastal Cities ( CAR II ) 国际会议,并作了题为“ The Comprehensive Evaluation Index System of Urban Emergency Capacity Based on External DEA ”的报告。 CAR 系列会议是由 START 组织主办,至今已经成功举办两届,第一届 CAR 国际会议在泰国首都曼谷举办。该系列会议希望通过广泛的学术交流,进一步减轻环境变化和城市化过程中沿海城市脆弱性的增加。本届会议具体是由 IRDR 组织、 EAST-WEST 中心、台湾“中研院”和 START 组织共同主办,会议历时三天。 第一天的会议内容主要包括开幕式和大会报告;第二天的会议形式是分会报告和阶段总结;第三天的会议日程包括分组讨论、会议总结和赴台湾灾害防救科技中心参观。来自中国、美国、加拿大、澳大利亚、泰国、越南、印度尼西亚、新加坡、马来西亚、日本、斯里兰卡、保加利亚、中国台湾、中国香港等 19 个国家和地区的专家和学者就如何建立城市防灾适应性能力、城市脆弱性评价、如何处理学术研究与政府决策之间的关系以及集成城市规划等问题进行了深入的交流和讨论。例如,来自美国夏威夷大学的 Kem LOWRY 博士报告了夏威夷是如何建立防灾适应性能力,来应对海平面上升等灾害问题;来自中国香港特别行政区土木工程拓展署的陈健硕处长针对香港面临的主要灾害——泥石流,报告了香港政府在应对此类灾害时的策略和方法;来自中国台湾灾害防救科技中心的李维森博士报告了台湾应急救灾过程中,学术研究机构、 NGO 组织和政府决策部门之间的关系及其在救灾中的作用。 第二天上午,王光辉第一个进行会议报告,其报告内容主要分为五个部分:引言、定义城市防灾强度因子、建立面向城市突发事件全过程的防灾适应性能力指标体系、基于模糊数学思想和DEA方法评价城市的防灾适应性能力等级模型、报告总结。第三、四部分是报告的核心部分,报告人希望通过建立、健全城市防灾能力的评价指标体系,从总体上评价城市的防灾能力。报告引起了参会人员的广泛交流,来自香港特别行政区的张秉业工程师就指标选取及其建模问题与报告人进行了深入的探讨;来自印度尼西亚的 Jakarta 博士就评价方法选取和结果验证等问题与报告人进行了交流。 会议结束后,参会代表参观了台湾灾害防救科技中心( NCDR ),进一步了解台湾地区在地震、泥石流等灾害应急过程中的救灾组织体系和救灾模式运行机理等问题。 总之,通过与各国、各地区专家和学者的广泛交流,会议进一步拓展了团队的国际学术交流渠道。王光辉于会议结束后接受了 Jane Rovins博士 的邀请,拟于 2011 年 10 月 31 日- 11 月 2 日参加在北京举办的“ IRDR Conference 2011 ”国际会议。
1st IEEE Workshop on Modeling, Simulation and Visual Analysis of Large Crowds in conjunction with 13th International Conference on Computer Vision (ICCV) 6-13 November, 2011, Barcelona, Spain The workshop encourages interdisciplinary (vision + graphics, evacuation dynamics + vision, etc.) contributions. Papers should describe original and unpublished work about the above or closely related topics. Each paper will receive 3 double blind reviews, which will then be moderated by the workshop chairs Workshop Goals Problems related to analysis of crowded scenes arise in a variety of contexts. A surveillance system installed in a city center may be interested in detecting individual objects that traverse the crowded scene to bootstrap its tracking module. At another location, a similar system may be interested in counting the number of people or estimating the density of crowd. Furthermore in context of object tracking, following individual person, a group of people, or the entire crowd may be of interest. Similarly event recognition systems may be interested in understanding what is happening in a scene by collecting local as well as global crowd statistics. Developing mathematical models of crowd movement and people interaction for simulation and modeling purposes is yet another area of interest. It is generally agreed that in low density environments the problems described above are well understood and relatively mature solutions exists to solve them. However computer vision research for moderate or high density environments is still in its early stages. Although attempts have been made in published literature to extend conventional computer vision algorithms designed for low density scenes in order to address some of the challenges of crowded scenes, these techniques alone appear insufficient to solve the new set of challenges posed by moderate to high density crowds. In recent years an encouraging new development has been the emergence of crowd motion and interaction models, originally developed in sociology, and adopted by computer graphics scientist for simulating realistic crowd behaviors. These models, social force model being one of them, depict crowd motion and interaction and can be used for simulating different emergent behaviors among a large number of agents or humans. Such crowd simulation systems are used for architectural and urban planning, enhancing virtual or training environments, animation characters for movies and games, as well as online virtual worlds (e.g. Second Life). In addition, group of researchers and practitioners in architecture, civil and fire safety engineering, physics and mathematics have been working on pedestrian and evacuation dynamics, which addresses issues related to whether the crowd behavior in an emergency situation is predictable and what are the different patterns occurring in pedestrian flows based on common rules. Their main goal is modeling and simulation of pedestrian and crowd movement as well as the dynamical aspects of evacuation processes. We believe computer vision research on visual analysis of crowds can greatly benefit by bringing together researchers from areas of computer vision, computer graphics, physics, and evacuation dynamics. Such a gathering will lay down a foundation for an integrated analysis-synthesis approach for crowd modeling, where complementary viewpoints and techniques from these areas are used to develop additional insight into crowd analysis, modeling and simulation problem. The focus will be on exchange of ideas on how to develop visual crowd analysis capabilities that make use of crowd simulation and evacuation dynamic techniques. As a byproduct, computer graphics and evacuation dynamics community will also benefit as this workshop will lead to improved methods for data-driven modeling, simulation and analysis of large-scale “heterogeneous crowds” using video recordings of real-world crowds. We hope to address following scientific questions and challenges through the workshop: What are the general principles that characterize complex crowd behavior of heterogeneous individuals? How can verifiable mathematical models of crowd motion and interaction can be developed based on these principles? How these general principles can be used to enhance performance of low level vision tasks such as object detection, tracking, and activity analysis in crowds? What are the possible problem areas that will benefit from simulation models for enhance video analysis capabilities (e.g. tracking, target acquisition across sensor gaps, and sensor hand-off techniques etc.). At what granularity level (micro, macro) should such analysis-synthesis approach be applied? =============================================================== Call for Papers Papers describing novel and original research are solicited in the areas related to visual analysis of crowded scenes. Topics of interest include but not limited to: Single and Multi-camera Tracking in High Density Crowds Event Analysis in Crowded and Cluttered Scenes Group Activity Analysis Action Recognition in Crowds Applications of Visual Crowd Analysis Systems Crowd Flow Analysis Data Driven Crowd Simulation Behavior Understanding Crowd Interaction Models and their Applications to Object Detection Tracking and Event Analysis Force based Models for Pedestrian Dynamics in Crowds. Image and Video Features for Crowd Modeling Datasets/ Model Validation/Calibration/Algorithm Testing/Annotation Techniques for Crowd Research =============================================================== Important Dates Submissions Deadline: July 15, 2011 Reviews Due: August 15, 2011 Camera Ready Papers: September 15, 2011 Workshop: November 7, 2011 ======================================================================== General Chairs Mubarak Shah (University of Central Florida) Dinesh Manocha (University of North Carolina) Rita Cucchiara (University of Modena and Reggio Emilia) =========================================================================== Program Chairs Saad Ali (SRI International Sarnoff) Nuno Vasconcelos (UC, San Diego) Fatih M. Porikli (MERL) Ko Nishino (Drexel University) Program Committee Anders Johansson (University College London) Norman Badler (Univ. of Pennsylvania) Bastian Leibe (RWTH) Antoni B. Chan (City University of Hong Kong) Song Chun Zhu (UCLA) Robert Collins (Pennsylvania State University) Andreas Schadschneider (University of Cologne) Stefania Bandini (University of Milano-Bicocca) Katsuhiro Nishinari (University of Tokyo) Josef Sivic (INRIA / ENS) Julien Pettre (INRIA) Rogerio Feris (IBM T.J. Watson) Gabriel Brostow (University College London) Omar Javed (SRI International Sarnoff) Ugur Gudukbay (Bilkent University) Majid Sarvi (Monash University) Xiaogang Wang (The Chinese University of Hong Kong) Rynson Lau (City University of Hong Kong) Maik Boltes (Jülich Supercomputing Centre) Daisuke Sugimura (University of Tokyo) Basim Zafar (Hajj Research Institute) Contact Saad Ali - saad dot ali at sri dot com
2007 年创刊的Disaster Medicine and Public Health Preparedness《灾难医学和公共卫生准备》, ISSN: 1935-7893,美国医学会(AMER MEDICAL ASSOC, 515 N STATE ST, CHICAGO, USA, IL, 60610-0946)出版,2009年入选 Web of Science的Social Sciences Citation Index,目前在SSCI数据库可以检索到该期刊2007年的第1卷第1期到2010年第4卷第2期共231篇论文。 231 篇文章包括学术论文131篇、社论63篇、通讯24篇、评论6篇、会更正1篇。 231 篇文章的主要国家分布:美国199篇,澳大利亚、加拿大各3篇,以色列2篇,中国、智利、法国、巴基斯坦、秘鲁、泰国等各1篇。 231 篇文章的作者单位涉及169个研究机构,在该刊发表论文最多的研究机构为美国医学会(AMER MED ASSOC)24篇、 约翰霍普金斯大学 (JOHNS HOPKINS UNIV)20篇、哈佛大学(HARVARD UNIV)15篇、美国 疾病预防控制中心 (CTR DIS CONTROL PREVENT)12篇、 哥伦比亚大学 (COLUMBIA UNIV)11篇、 纽约大学 (NYU)11篇、 布莱根妇女医院( BRIGHAM WOMENS HOSP)10篇、 美国卫生科学军队服务大学( UNIFORMED SERV UNIV HLTH SCI)10篇等。 231篇文章共被引用216次(其中2007年被引用1次、2008年被引用7次、2009年被引用48次、2010年被引用133次),平均引用0.94次, H指数为6(有6篇文章每篇最少被引用6次)。 Disaster Medicine and Public Health Preparedness《灾难医学和公共卫生准备》投稿指南: 该刊原为LWW出版,自2010年3月1日起由AMA独家出版并发行,是第一本为全球保健与公共卫生从业人员提供公共卫生准备与灾难应急信息的综合性权威期刊。 网址: http://www.dmphp.org/ 编委会: http://www.dmphp.org/misc/edboard.dtl 作者指南: http://www.dmphp.org/misc/ifora.dtl 在线投稿: http://www.editorialmanager.com/disastermed/ Disaster Medicine and Public Health Preparedness《灾难医学和公共卫生准备》热点论文: 1.标题: Allocation of Ventilators in a Public Health Disaster 作者: Powell T, Christ KC, Birkhead GS 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 2 期: 1页: 20-26 出版年: MAR 2008 被引频次: 25 2.标题: A Consensus-based Educational Framework and Competency Set for the Discipline of Disaster Medicine and Public Health Preparedness 作者: Subbarao I, Lyznicki JM, Hsu EB, et al. 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 2 期: 1 页: 57-68 出版年: MAR 2008 被引频次: 17 3.标题: Excess Mortality in the Aftermath of Hurricane Katrina: A Preliminary Report 作者: Stephens KU, Grew D, Chin K, et al. 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 1 期: 1 页: 15-20 出版年: JUL 2007 被引频次: 14 4.标题: Refining Surge Capacity: Conventional, Contingency, and Crisis Capacity 作者: Hick JL, Barbera JA, Kelen GD 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 3 页: S59-S67 增刊: Suppl. 1 出版年: JUN 2009 被引频次: 8 5.标题: Definition and Functions of Health Unified Command and Emergency Operations Centers for Large-scale Bioevent Disasters Within the Existing ICS 作者: Burkle FM, Hsu EB, Loehr M, et al. 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 1 期: 2 页: 135-141 出版年: NOV 2007 被引频次: 7 6.标题: Botulism: Cause, Effects, Diagnosis, Clinical and Laboratory Identification, and Treatment Modalities 作者: Dembek ZF, Smith LA, Rusnak JM 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 1 期: 2 页: 122-134 出版年: NOV 2007 被引频次: 7 7.标题: Mass Casualty Triage: An Evaluation of the Data and Development of a Proposed National Guideline 作者: Lerner EB, Schwartz RB, Coule PL, et al. 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 2 页: S25-S34 增刊: Suppl. 1 出版年: SEP 2008 被引频次: 6 8.标题: Major Influences on Hospital Emergency Management and Disaster Preparedness 作者: Sauer LM, McCarthy ML, Knebel A, et al. 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 3 页: S68-S73 增刊: Suppl. 1 出版年: JUN 2009 被引频次: 5 9.标题: Hurricane Katrina Deaths, Louisiana, 2005 作者: Brunkard J, Namulanda G, Ratard R 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 2期: 4 页: 215-223 出版年: DEC 2008 被引频次: 5 10.标题: Prevalence and Predictors of Mental Health Distress Post-Katrina: Findings From the Gulf Coast Child and Family Health Study 作者: Abramson D, Stehling-Ariza T, Garfield R, et al. 来源出版物: DISASTER MEDICINE AND PUBLIC HEALTH PREPAREDNESS 卷: 2 期: 2 页: 77-86 出版年: JUN 2008 被引频次: 5