3rd International Workshop on Statistical Physics and Mathematics for Complex Systems SPMCS'2012 (25-30 August 2012, Kazan, Russia) Main Committees Program Abstracts Proceedings Registration Visa info Accommodation Deadlines Social events Welcome to SPMCS’2012! Welcome to Kazan University! 3 rd International workshop on Statistical Physics and Mathematics for Complex Systems SPMCS’2012 will be held at Kazan Federal University , Kazan, Russia. The workshop is organized by Kazan University, Russia, and Institut supérieur des matériaux et mécaniques avancées ISMANS , France Kazan University is one of the oldest universities in Russia and many important discoveries in physics and mathematics have been made here. Among others the non-Euclidian geometry by N. Lobachevsky, electron paramagnetic resonance by E. Zavoisky, classification of Einstein spaces by A. Petrov could be mentioned. In SPMCS’2012 we wish to bring together a broad community of researchers from the different branches of the explosion-like developing complexity science, the science of non reductionist way of thinking facing new multiscales objects, huge amount of data and multi scientific point of views to discuss the fundamental challenges in the theory (topology, statistical physics, dynamical systems, number theory, pedagogy etc). as well as the applied aspects for many practical problems (condensed matter, particles physics, information network, cryptography, biology sociologic stability, city development, energy and psychological stability, political sciences etc). SPMCS workshop series was created with the objective to be an interdisciplinary incubator for worldwide exchange of innovational and revolutionary ideas and results. We hope that SPMCS’2012, with Kazan’s scientific background and tradition, will be an exceptional stage of this evolving platform. Its topics can be detailed as follows - statistical physics and thermodynamics for finite-size, nanoscale and nonextensive systems, quantum thermodynamics - time and irreversibility in complex systems - fractal geometry, fractional operator statistics and complex systems complexity in strong correlated systems - fluctuation theorems, conservation principles and equalities - econophysics, biophysics, bioinformatics, ecophysics and environment strategy - engineering innovation and pedagogy for complex systems - computer simulation and epistemology of modeling for complex systems - geoinformatics - political sciences and prospective strategy - other related fields Also several round table discussions are to be scheduled, the topics are (but not limited to) the following: - metaphysics and philosophical reflections about foundation of classical mechanics, statistical mechanics and quantum theory - management and policy for complex systems - project and prospective in complex systems - accounting in complex systems SPMCS’2012 is supported by Russian Fund for Basics Research, Dynasty Fund (Russia), Government of Tatarstan Republic (Russia), Material Design (USA), Réseau national des systèmes complexes RNSC (France), Institut supérieur des matériaux et mécaniques avancées ISMANS (France), Kazan Federal University (Russia) 2011 Kazan Federal University Conference Chairman Gafurov Ilshat (Kazan Federal University, Russia) Conference Co-Chairman: Wang Qiuping A. (ISMANS, France) Organizing Committee Chairman:Tayurskii Dmitrii (Kazan Federal University, Russia) Aganov Albert (Kazan Federal University, Russia) Le Méhauté Alain (Kazan Federal University, Russia) Li Wei (Huazhong Normal University, China) Nurgaliev Danis (Kazan Federal University, Russia) Menezes Rui (Lisbon University Institute, Portugal) Wang Binghong (University of Science and Technology of China, China) (to be confirmed) Scientific Advisory Committee Scientific Advisory Committee for the Third SPMCS Conference Chairman: Tayurskii Dmitrii (Russia) Co-Chairman: Menezes Rui (Portugal) Badiali Jean-Pierre (France) Bagci G.B. (Turkey) Beck Christian (UK) Bentes Sonia (Portugal) Biro Tamas Sandor (Hungary) (to be confirmed) Budiyono Agung (Japan) (to be confirmed) Cai Xu (China) Campos Diogenes (Colombia) Chauvet Pierre (France) Chen Jincan (China) Chen Xiaosong (Academy of Science, China) Dionisio Andreia (Portugal) (to be confirmed) Haubold Hans (Austria) (to be confirmed) Kaniadakis Giorgio (Italy) Li Wei (China) Long Guilu (China) Longo Giuseppe (France) (to be confirmed) Lucia Umberto (Italy) (to be confirmed) Makarenko Alexander (Ukraine) (to be confirmed) Mathai A.M. (India) Nieuwenhuizen Theo (Netherland) (to be confirmed) Parvan A.S. (Moldova) Perrier Edith (France) (to be confirmed) Podlubni Igor (Slovakia) (to be confirmed) Portela Sofia (Portugal) Quarati Piero (Italy) Robledo Alberto (Mexico) Satin Fabio (Italy) (to be confirmed) Smolin Leo (Canada) (to be confirmed) Strusik Zbigniew (Japan) Thurner Stefan (Austria) (to be confirmed) Vakarin Eduard (France) Wang Binghong (China) (to be confirmed) Zhang Yicheng (Switzerland) (to be confirmed) Zhou Haijun (Academy of Science, China) Program Committee Program Committee Chairman: Abe Sumiyoshi (Japan) (to be confirmed) Co-Chairman: Podlubni Igor (Slovakia) (to be confirmed) Allahverdyan Armen (ISMANS, France) Badiali Jean-Pierre (CNRS, France) Beck Christian (Queen Mary University, UK) (to be confirmed) Cai Xu (Huazhong Normal University , China) Chauvet Pierre (Catholic University of West, France) Long Guilu (Academy of Sciences, China) Robledo Alberto (National University of Mexico, Mexico) (to be confirmed) Zhang Yicheng (Université de Fribourg, Switzerland) (to be confirmed) 2011 Kazan Federal University Local Organizing Committee Gizatullin Amir (Kazan Federal University, Russia) Lysogorskiy Yury (Kazan Federal University, Russia) Nasretdinov Azat (Kazan Federal University, Russia) Nedopekin Oleg (Kazan Federal University, Russia) Nikitin Sergey (Kazan Federal University, Russia) Petrova Anastasia (Kazan Federal University, Russia) Zvezdov Denis (Kazan Federal University, Russia) Registration of conference participants List of participants | Search | Registration (before 24.08.2012) | Conference main page E-mail: da-scoo@ya.ru (C) 2011 Kazan Federal University
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Group photo-1 Group photo-2 Hans Herrmann (ETHZ, Swiss Federal Institute of Technology Zurich) Prof. Yi-Cheng Zhang and Jianwei Zhang Prof. Zhang Jianwei talk Self introduction by Li Xin-Ye Self introduction by Liu Yi-min Self introduction by Yang Hui-Jie Sept 16 Afternoon Meeting a Sept 16 Afternoon Meeting b Lunch Sept 16 a Lunch Sept 16 b
Collective Picture 1 集体照-2 Professor Fred von Gunten （ ISC, Uni Fribourg ）Talk: Complexity of systems with respect to the economy and society CCNU 辜姣 Dinner Sept.17 a Dinner Sept.17 b Dinner Sept.17 c Dinner Sept.17 d
2011 EU-China Workshop on Complexity Science Talk Abstract TAIPEX —An Online ExperimentalPlatform to Study Market Behavior Sai-Ping Li Institute of Physics, Academia Sinica, Taipei 115, Taiwan The TAIPEX , which is one of the existing prediction market platforms in the world, was first set up in early 2004 in Taiwan as an experimental toolto study the voting behavior of the people in Taiwan. After the first successful experimental launchon this platform, it was soon realized that one couldin fact study financial market behaviors by using this platform. In subsequent years, that is, from early 2004 till theend of 2010, eight experiments have been carried out onthis prediction market platform. These include: three presidential elections (2 from Taiwan and one from the US), one parliamentary election, three city mayor elections and one on bird flu. From the results of these experiments, we have observed many stylized facts that are known to exist in everyday financial markets. For example, Figure 1 shows the probability density of normalized price returns of TAIPEX in the 2004 Taiwan parliamentary election with different time lagsequal to 55(red), 148(black), 403(yellow), 1097(green) and 8103(blue) minutes. The figure illustrates two interesting features. The firstfeature is the heavy tails onthe two ends ofthe curves. One can see this easily when compared to a Gaussian distribution as shown in the figure. Heavy tails of price returns in financial markets arestylized facts that are knownto market practitionersfor a long timeand our experiments also exhibitsuch a feature. Another feature that we can observe in this figure is the universality of different time lag curves. One can see that the different time lag curves can indeed be represented by a single distribution curve. We also observe that other well known stylized facts also appear in our prediction mark Figure 1. Probability density of normalized price returns with time lag equal to 55(red), 148(black), 403(yellow), 1097(green) and 8103(blue) minutes. The dashed line was obtained from a Cauchy distribution and the dotted line is a Gaussian distribution of unit variance. Aside from the already well known stylized facts, we have further uncovered many features that are likely to exist but are unable to be detected in financial markets. Take, for example, we can construct a trading network of the traders from the data of the experiment on this prediction market platform . The same kind of networkis unlikely to be constructed due to the lack of data availabilityin real financial markets. Figure 2 is an illustration of a trading network among traders of our experiment on the 2006 Taipei Mayor Election. The network is based on the data from Day 3. The number of traders and the trading network grew sincetherewere more registered players to do trading on the platformas the experiment continueduntil the dayof the election. Figure 2. The trading network on Day 3 of the 2006 Taipei Mayor Election experiment. The network consists of 40 interconnected nodes. isolated nodes are not shown here . In this talk, we will first give abrief introduction of the historical development and the current status ofprediction markets. As an example of how prediction markets work, we will give details of doingtrading on our prediction market platform. Results of our previous experiments will be summarized and presented, including the most recent experiment done by the end of 2010. Possible future work will beproposed and discussed. Most importantly, collaborations on this prediction market platform are welcome. References: http://socioecono.phys.sinica.edu.tw/ K.J. Arrow et.al., Science 320(2008)877-8 G. Tziralis and I. Tatsiopoulos, “Prediction Markets: An Extended Literature Review”, TheJournal of Prediction Markets 1(2007)75-91. S.C. Wang et.al., “Statistical Properties of an Experimental Political Futures Market”, Quantitative Finance 9(2009)9-16. S.C. Wang et.al., “Network Topology of an Experimental Futures Exchange”, European Physical Journal B62(2008)105-111. Piecewise Smooth Lyapunov Function for a Nonlinear Dynamical System Yan Gao Business School, University of Shanghai for Science and Technology, Shanghai 200093, China email:gaoyan@usst.edu.cn In this paper, stability and attraction for a nonlinear dynamical system with nonsmooth Lyapunov function are studied. The previous results on stability and attraction with a max-type Lyapunov function are extended to the case where Lyapunov function is piecewise smooth. A condition, under which stability and attraction is guaranteed with a piecewise smooth Lyapunov function, is proposed. Taking two certain classes of piecewise smooth functions as Lyapunov functions, related conditions for stability and attraction are developed. Key Words. Nonlinear dynamical system, stability, region of attraction, Lyapnov functions, nonsmooth analysis, piecewise smooth function. Hurst Exponents for Short Time Series 短时间序列的分形指数 Jingchao Qi, and Huijie Yang Biz School, University of Shanghai for Science and Technology, A new concept, called balanced estimator of diffusion entropy, is proposed to detect scaling in short time series. The effectiveness of the method is verified by means of a large number of artificial fractional Brownian motions. It is used also to detect scaling properties and structural breaks in stock price series of Shanghai Stock market. PACS ： 05.45.T, 89.75.D, 05.40.F, 05.40 Keyword(s); short time series; scaling; diffusion entropy Global Compact Representation of Continuous Piecewise Linear Functions and Its Application Xin-Ye Li Business School, University of Shanghai for Science and Technology, Shanghai 200093, China Critical point and critical cluster distribution of explosive site percolation in random network Yu-gang Ma 1) and Ding-ding Han 2) 1 Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201800, China 2 School of Information Science and Technology, East China Normal University, Shanghai 2000241, China Recently a new kind of percolation, named explosive percolation was proposed. By introducing a proper competitive mechanism, it was first found by Achlioptas, D'Souza, and Spencer and was subsequently studied intensely by other scientists that the bond percolation in random networks became discontinuous. Such kind of percolation has a delayed transition point but still maintain a power-law critical cluster distribution with yet the exponent different from the classical one, indicating the absence of universality in sense of different percolation strategies. However further numerical and theoretical studies have provided evidences that the bond explosive percolation in random network is actually continuous in the thermodynamics limit except for the global competitive case in which all the links in network participate in the selection. Although the argument still exists, explosive percolation has brought new insights to the percolation theory. However the two most important properties, namely the location of the critical point and the critical cluster distribution have not been studied systematically. Previous studies presented the related results only for their special models, which neither provide any general conclusions nor help to understand the possible universal behavior. In this letter, we focus on this problem instead of just studying the continuity of explosive percolation. By introducing a best-of-m competitive rule the explosive site percolation in ER network is studied. We prove that the critical point tc(m, k) has a nontrivial limitation Tc(k) 1 as m = N →∞. By developing a finite size scaling method, Tc(k) is found to scale asymptotically as . The result is further generalized by for all m with approximated by an arctan function. The critical cluster distribution is found to be power law with exponent about -2.5 regardless of m, leading to a conjecture that the universality remains in sense of different percolation strategy. The continuity of the percolation is also discussed. The present results basically generalize the classical conclusion to adapt to a large class of explosive percolation. Key words: explosive percolation, random network, critical point, critical cluster distribution Fluctuation scaling in complex networks Ding-ding Han School of Information Science and Technology, East China Normal University, Shanghai 200241, China Fluctuation is a universal phenomenon in complex networks. Since L.R.Taylor’s influential paper on natural populations was published in 1961, a scaling relationship has been observed in a wide range of disciplines, ranging from population dynamics through the Internet to the stock market. The original law exhibits that for any fixed species there is a power-law scaling between fluctuations in the size of a population (characterized by standard deviation) and the average population, namely In this paper, brief introduction about fluctuation scaling is given. The fluctuation can be divided into temporal fluctuation scaling and ensemble fluctuation scaling. Besides, we have investigated the evolution of the download network for the rank-ordered papers which were listed in Zhang’s Econophysics web page. From 2004 to 2007, the download distribution shows the change of the exponents even though the rank-ordered distribution still keeps scale-free feature, reflecting the change of traffic on nodes which represent the given downloaded papers. Further, we give a quantitative analysis for the average download rates per day, which shows day-by-day fluctuation. The average flux shows a fast exponential decay as a function of the rank, while the dispersion does not show an obvious dependence of the rank. Interestingly, the dispersion of the download rate distributions shows power-law scaling behavior with its average flux, namely . In different time windows ranging from about 6.5 months to 31 months in which the download distributions are accumulated, the scaling parameter changes with the time windows, namely from 0.60 to 0.89. The origins are qualitatively interpreted by two models. Future work on quantitative model simulation and a possible -scaling of network fluctuation is in progress. Key words: Fluctuation scaling; complex netwrks; random walker model; fluctuation exponent; time window Long division unites - long union divides, A model for cultural evolution J. Jiang, R. Wang, Michel Pezeril, and Q.A. Wang One of the historical phenomena in the time evolution of cultural, national and economic systems is the transition between union and division of one or several entities. In this work, we propose a union-division model based on the maxim "long union divides and long division unites" in order to investigate the long time behaviors of the networks composed of nodes representing the above mentioned entities. Each node is characterized by several quantities such as identity, ingredient, richness, and age. The time evolution of the network is probabilistic depending on the above quantities and on the interaction between the neighboring n nodes. This work offers a long term view on the apparently periodic dynamics of an ensemble of cultural entities. Self-organization and Preconditions of Efficient Markets You-Gui Wang Department of Systems Science, School of Management, Beijing Normal University, Beijing 100875, China, Email: ygwang@bnu.edu.cn Most of economists have devoted themselves into proving the existence of “invisible hand” in marketing systems. Traditional approaches claim that an efficient market lies on three presuppositions: rationality of individual market participants, complete information and equilibrium of the market. These presumptions result from the static postulations of mainstream economics. In this talk, I will show that from dynamic perspective a market can achieve an efficient state without those strong assumptions. The patterns of self-organization of an evolutionary market are displayed where the premises of individual rationality, single price as well as equilibrium are abandoned. Keywords: Market efficiency, Self-organization, Rationality, Market equilibrium, Dynamic structure. Accelerating growth and size-dependent distribution of human online activities Zhang Jiang Department of Systems Science, School of Management, Beijing Normal University, Beijing 100875, China, Research on human online activities usually assumes that total activity T increases linearly with active population P, that is, T ∝ P^γ (γ = 1). However, we find examples of systems where total activity grows faster than active population. Our study shows that the power law relationship T ∝ P^γ (γ 1) is in fact ubiquitous in online activities such as microblogging, news voting, and photo tagging. We call the pattern “accelerating growth” and find it relates to a type of distribution that changes with system size. We show both analytically and empirically how the growth rate γ associates with a scaling parameter b in the size-dependent distribution. As most previous studies explain accelerating growth by power law distribution, the model of size-dependent distribution is worth further exploration. Statistics and Evolution of Donations for 2008 Wenchuan Earthquake Qinghua Chen ( 陈清华 ), Yajing Wu ( 吴亚晶 ), Jinzhong Guo( 郭金忠 ), Yougui Wang( 王有贵 ) Department of Systems Science, School of Management, Beijing Normal University, Beijing 100875, People's Republic of China qinghuachen@bnu.edu.cn (86-10-58802732) Based on the data of individual donations from Chinese Red Cross Foundation , this paper analyzes and discusses the distribution of individual donations and evolutions of some statistical properties over time. The results show: 1) individual donations distribution has shown some power law characters, and some donation numbers are preferred; 2) the growths of person times and total donations obey Logistic growth, and the growth of person times is ahead of another; 3) the trend of average donations amount is that, firstly decreases and then increase, with large donations coming at a subsequent time or stage . This paper proposes a multi-agent model to simulate donations’ evolution based information diffusion. Figure 1. Zipf’s plot of donations Figure 2. Pareto’s plot of donation Figure 3. The growths of donations amount and person times, and the fitting of Logistic curve Figure 4. The daily average of the accumulated donations amount Keywords : individual donations, power law, logistic growth Perspectives of several directions in recent complex system research Bing-Hong Wang Department of Modern Physics, University of Science and Technology of China Hefei, 230026, China and The Research Center for Complex Systems, University of Shanghai for Science and Technology, Shanghai, 200093, China bhwang@ustc.edu.cn Study of the evolutionary games on complex networks We study the evolutionary games on complex networks, including the prisoner's dilemma game and the public goods game. Our research focus is how the clustering structure, social diversity and aspiration-induced migration affect the cooperative behavior. We find that the higher clustering coefficient enhances the cooperation in spatial public goods game. Due to the existence of social diversity, the influence of different individuals is different. The influence of an individual is defined as the power of its degree, where the power exponent is an adjustable parameter. During the evolutionary process, every individual chooses one of its neighbors as a reference with a probability proportional to the influence of the neighbor. It is found that for the fixed value of the temptation to defect, there exists an optimal value of , leading to the highest level of cooperation. We propose an aspiration-induced migration in which individuals will migrate to new sites provided that their payoffs are below some aspiration level. It is found that moderate aspiration level can best favor cooperative behavior. Cooperation percolation in spatial evolutionary games is specially considered. We study the dynamical organization of cooperator clusters in prisoner’s dilemma game on regular and complex networks. It has been found that when the initial concentration of cooperators in the systems exceeds a threshold, there is a phase transition characterized by the emergence of a giant spanning cooperative cluster of the order of network size. Depending on the network structure and the temptation to defect, the phase transition appears to belong to different universality classes of percolation, including regular percolation, invasion percolation and other unreported classes. Transportation Dynamics on Mobile Node Network Most existing works on transportation dynamics focus on the networks of a fixed structure, but networks whose nodes are mobile have become widespread, such as cell-phone networks. We introduce a model to explore the basic physics of transportation on mobile networks. Of particular interest are the dependence of the throughput on speed of agent movement and communication range. Our computations reveal a hierarchical dependence for the former, while for the latter we find an algebraic power law between the throughput and the communication range with an exponent determined by the speed. We develop a physical theory based on the Fokker-Planck equation to explain these phenomena. Our findings provide insights into complex transportation dynamics arising commonly in natural and engineering systems. Reference: Phys.Rev.E 83.016102(2011) Newsbag, an adaptive model for news recommendation Dott. Giulio Cimini Uni Fribourg and Univ. Rome, Italy We propose an adaptive recommendation model which combines similarities in users' rating patterns with epidemic-like spreading of news on an evolving social network. Our system has high filtering efficiency and robustness against malicious behavior, and outperforms other widely adopted recommendation methods. The model also sheds light on who people do follow in social communities and where they do search for good information sources. Agenetic perspective on citation networks Dott. Stanislao Gualdi Uni Fribourg and Univ. Rome, Italy we develop an analytical framework to asses genetic relations between papers. We show that such framework can be used both to highlight papers which play a fundamental role in the development of a research field both to build a recommender system which filters relevant literature for a given interest. The spectral analysis for biology networks Jiao Gu （ 辜姣） Central China Normal University ， Wuhan ， P.R.China We constructed the protein network and domain networks from the database. Baced on the analysis ofspectrumof normalized Laplacian matrix, we could classify the networks and find phylogenetic information from these networks. Statistical Mechanics of Social Tagging Networks: Structure, Dynamics and Function Zike Zhang （张子柯） University of Fribourg, Switzerland In this talk, I would introduce our recent progress on the study of social tagging netowks, including the structure of how to describe and measure it, the dynamics of how it evolves and it application in recommender systems. It is expected to give a general picture of Social Tagging Networks and possible research topics, as well as challenges. Potentials of sino-european cooperations in complexity sciences Jian-Wei Zhang University of Hamburg ， Hamburg ， German European and China cooperation opportunities in Complexity Sciences Jeff Johnson Open University, London, UK Complexity of systems with respect to the economy and society Dr. Fred von Gunten International Strategy and Competition University of Fribourg ， Switzerland “Complexity research as an interdisciplinary undertaking is concerned with the question how orders, structures, chaos and break downs can be created by the relationships of many elements of a complex system… The object of complexity research is to identify and understand chaos, tensions and conflicts in complex systems (molecules in materials, cellules in organisms or human beings in markets and organisations) so as to acquire new knowledge for the potential of establishing new orders.” Mainzer, 2008, Komplexitt, p. 10). When this definition is applied to the economy and society then a number of difficulties have to be overcome. In this contribution one attempts to explain how three basic propositions contribute to improving the situation. First, market or state capitalism must be identified as organised socio-economic systems. Second, these systems must be presented as three level economies instead of only two level economies. Third, in the end, “pure analysis” in the economic and social sciences must be integrated with the other sub-systems of the nation-state, at the international level with international organisations. That way the degree of complexity of systems with respect to the economy and society can be positively influenced
2011 EU-China Workshop on Complexity Science Venue ： University of Fribourg ， Switzerland Time ： Sept 14-19, 2011 Scientific Program Scientific Board Yi-Cheng Zhang (Chair) University of Fribourg, Switzerland Bing-Hong Wang (Chair) University of Science and Technology of China, Hefei, P.R. China Jeff Johnson Open University, London, UK Jian-Wei Zhang University of Hamburg, German Yan Gao University of Shanghai for Science and Technology ， China Sai-Ping Li Institute of Physics, Academia Sinica, Taiwan Xu Cai Central China Normal University,Wuhan ， P.R. China You-Gui Wang Beijing Normal University, Beijing, P.R. China Local Organizing Committee at University of Fribourg Miss. Pei Wu （吴培） , Mr. Ting Lei （雷庭） , Mr. Hao Liu （刘浩） , Mr. Yun Ye （叶云） , Mr. Cheng-jun Zhang （张成军） Dr. Matus Medo , Dr. Giulio Cimini, Dr. Stanislao GUALDI Invited Speakers Yan Gao （高岩） University of Shanghai for Science and Technology, Shanghai, China Guang-Le Yan （严广乐） University of Shanghai for Science and Technology, Shanghai, China Xing-Ye Li （李星野） University of Shanghai for Science and Technology, Shanghai, China Hui-Jie Yang （杨会杰） University of Shanghai for Science and Technology, Shanghai, China Sai-Ping Li （李世炳） Institute of Physics, Academia Sinica ， Taiwan Bing-Hong Wang （汪秉宏） University of Science and Technology of China You-Gui Wang （王有贵） Beijing Normal University P.R.China Jiang Zhang （张江） Beijing Normal University P.R.China Qing-Hua Chen （陈清华） Beijing Normal University P.R.China Ding-Ding Han （韩定定） East China Normal University P.R.China Yu-Gang Ma （马余刚） Shanghai Institute of Applied Physics, Chinese Academy of Sciences ， Shanghai ， P.R.China Xu Cai （蔡勖） Central China Normal University ， Wuhan ， P.R.China Jian Jiang（江健） Central China Normal University ， Wuhan ， P.R.China Jiao Gu （ 辜姣） Central China Normal University ， Wuhan ， P.R.China Yi-Min Liu （刘益民） Shaoguan University, Guangdong, P.R.China Zike Zhang （张子柯） University of Fribourg, Switzerland Jian-Wei Zhang ， University of Hamburg ， Hamburg ， German Jeff Johnson ， Open University, London, UK Fred von Gunten, International Strategy and Competition, University of Fribourg ， Switzerland Luciano Pietronero ， University of Rome ， Italy Paul Ormerod ， Volterra consulting, Lond ， United Kingdom Bridget Rosewell ， Volterra consulting Andrzej Nowak ， University of Warsaw ， Poland David Hall ， Open University, London, UK Hans Herrmann ， Swiss Federal Institute of Technology Zurich ， Switzerland Danial Stauffacher ， ICT4Peace, Geneva ， Switzerland PROGRAM Wednsday, Sept 14: Arriving at Zurich Thursday, Sept 15: Traveling to Bern（伯尔尼）, Lu Saien （ 卢塞恩） ， INTERLAKEN （因特拉肯，少女峰） Friday, Sept 16 Meeting Room: Pavillion Vert " Green Temple" (near the Department of Physics, University of Fribourg) Session 1, Chaired by Yi-Cheng Zhang 14:00 – 14:30, Yi-Cheng Zhang: Welcome 14:30 – 18:00, Plenary Talks Hans Herrmann (ETHZ, Swiss Federal Institute of Technology Zurich): Physics of Sand dunes and beyond Dott. Giulio Cimini （ Uni Fribourg and Univ. Rome, Italy ）： Newsbag, an adaptive model for news recommendation Jian-Wei Zhang, (University of Hamburg), Potentials of sino-european cooperations in complexity sciences Sai-Ping Li, (Institute of Physics, Academia Sinica) TAIPEX------An Online Experimental Platform to Study Market Behavior 18:00-20:30, Welcoming Banquet Saturday, Sept 17 Meeting Room: Pavillion Vert " Green Temple" (near the Department of Physics, University of Fribourg) Session 2, Chaired by Jian-Wei Zhang 9:00 –10 :30. Plenary Talks Xu Cai （ CCNU ） : Conspectus on complexity science Researc Bing-Hong Wang (USTC): Perspectives of several directions in recent complex system research Yu-Gang Ma （ SIAP ）： Critical point and critical cluster distribution of explosive site percolation in random network Jian Jiang（ CCNU ）： Long division unites - long union divides, A model for cultural evolution Jiao Gu （ Central China Normal University ， Wuhan ， P.R.China ） The spectral analysis for biology networks 10:30-11:00: Coffee Break 11:00-12:00: Plenary Talks: You-Gui Wang (BNU) ： Self-organization and Preconditions of Efficient Markets Qinghua Chen （ BNU ）： Statistics and Evolution of Donations for 2008 Wenchuan Earthquake Jiang Zhang （ BNU ）： Accelerating growth and size-dependent distribution of human online activities 12:00-1 4:30: Lunch Session 3 Chaired by Bing-Hong Wang 14:30-16:00, Plenary Talks Yan Gao (USST) ： Piecewise Smooth Lyapunov Function for a Nonlinear Dynamical System Xing-Ye Li （ USST ） : Global Compact Representation of Continuous Piecewise Linear Functions and Its Applicatio Hui-Jie Yang （ USST ）： Hurst Exponents for Short Time Series Ding-Ding Han （ ECNU ）： Fluctuation scaling in complex networks Zike Zhang (Fribourg U) ： Statistical Mechanics of Social Tagging Networks: Structure, Dynamics and Function 16:00-16:30: Coffee Break 16:30-18:00: Plenary Talks: Dott. Stanislao Gualdi （ Uni Fribourg and Univ. Rome, Italy ）： A genetic perspective on citation networks Jeff Johnson, (Open University, London, UK) European and China cooperation opportunities in Complexity Sciences Fred von Gunten （ ISC, Uni Fribourg ） Complexity of systems with respect to the economy and society Yi-Cheng Zhang （ Fribourg U ）： Summary and Conclusion Remarks 18:00-19:30: Dinner Sunday, Sept 18 Travelling to Lausanne( 洛桑 ) and Geneva（日内瓦） Monday, Sept 19 l NESS Cooperation Session, Chaired by Yi-Cheng Zhang 9:00-10:30, Discussion and Talks: Yi-Cheng Zhang, (University of Fribourg) Yougui Wang （ BNU ） Paul Ormerod, (Volterra consulting) Bridget Rosewell, (Volterra consulting) Luciano Pietronero ， （ University of Rome ） Andrzej Nowak ， （ University of Warsaw ） David Hall ，（ Open University ） Danial Stauffacher ， President of The ICT For Peace Foundation 10:30-11:00: Coffee Break 11:00-11:30: Discussion and Closing Proceedings and post-event paperwork : Wei Han ， UESTC, Chengdu, China Tang Yong ， UESTC, Chengdu, China Li Chuncheng ， UESTC, Chengdu, China
KITPC Kavli Institute for Theoretical Physics China at the Chinese Academy of Sciences Web page： http://www.kitpc.ac.cn/program.jsp?id=PI20110501 Interdisciplinary Applications of Statistical Physics Complex Networks Date : From 2011-03-01 To 2011-04-01 International coordinators : Mikko Alava, Erik Aurell, Yi-Cheng Zhang Local coordinators : Bing-Hong Wang, Ke Xu, Haijun Zhou(Contact Person),Tao Zhou Main | Pictures | Schedules talks | Sub-Program | Participants | Discussion | Apply This five-week program (28 Feb-01 April, 2011) is a continuation of the 2008 KITPC program “Collective Dynamics in Information Systems”. the first two weeks focus on topics (1) and (2),and the last two weeks focus on topics (4) and (5), and the middle week will discuss issues that are interesting to both the spin-glass/information science community and complex network community. The main focuses of this new program are: (1) Statistical Physics of constraint satisfaction problems and learning problems Methods from statistical physics are gaining increasing acceptance in information theory and computer science . In the last few years, statistical physicists in the field have increasingly moved beyond inference to learning. Technically, inference means finding out properties of a model, which is defined and known. Learning means finding out what the model is from observations. Arguably this has an even wider applicability to computer and information sciences. New statistical physics-inspired algorithms has the potential to revolutionize neural-science (learning from measurement on many neurons at the same time) and 'omics' (learning from measurements on many genes at the same time), and certainly also many other fields of science and technology. (2) Statistical physics of Peer-to-peer (P2P) systems Computational and communicating entities are spreading over the face of the earth. PCs and cell phones, alive and connected at any one time, already count in the billions or tens of billions. With the projected exploration of sensor networks, embedded systems and various forms of "smart dust", the total aggregate number will soon be in the trillions. Only a very small fraction of this computational and communicative power is used to execute centrally designated and coordinated tasks. Most entities lead partly autonomous lives, executing locally stored programs, and reacting to local information and input. The description of large collections of such entities, and their properties in the large, is a new promising area of statistical physics. (3) Network-based information physics The research fields of information physics are widespread. All researches on information based on internet and carried on by means of physics could be called information physics. The important questions that will be discussed in this program include: (a) Data mining and presonalized recommendation on world-wide web; (b) User bahavior analysis in Web; (c) Internet and WWW's frames and mechanism of evolution; and (d) Dynamics research on Internet and WWW. (4) Statistical physics of complex networks The complex network has been attractive in recent ten years not only as the pattern discovered ubiquitously in real world, but also as the unifying framework to understand inherent complexity in nature. The topics of interests in this workshop will cover fundamental concepts and mathematical features of complex networks as well as their applications in a variety of disciplines including physics, biology, information science, sociology, and economics. The discussion emphasis will be laid on the following focusing subjects. (a) Fundamental theory and statistical physics for the complex systems based on network structure (b) Synchronization and control of chaos in nonlinear dynamical systems (c) Topology structure, function and dynamics of the complex networks (d) Cascading and synchronization in the complex network (e) Epidemic spreading and opinion promulgation along the networks (f) Consensus and swarm for self-driven agents (g) Dynamical modeling and statistical mechanical analysis of human behaviors (h) Social network analysis, social dynamics and social physics (i) Complex adaptive systems, minority game and econophysics (j) Cooperation evolution and game models (k) Phase transition and self-organized criticality in traffic flow, city vehicle transportation complex system (l) Systems biology and life complexity
Call for Papers Workshop Proposals Eighth International Conference on Complex Systems (ICCS 2011) Host: New England Complex Systems Institute June 26 - July 1, 2011 Boston Marriott Quincy, MA, USA Click here to register This is the eighth in a series of conferences with two major aims: first, to investigate those properties or characteristics that appear to be common to the very different complex systems now under study; and second, to encourage cross fertilization among the many disciplines involved. ICCS TOPICS: UNIFYING THEMES IN COMPLEX SYSTEMS Sessions will be structured around both themes and systems. The themes are: Emergence The relationship of component to collective behavior; the relationship of internal structure to external influence; multiscale structure and dynamics; self-similarity and fractals. Complexity Information Defining complexity; characterizing the information necessary to describe complex systems; structuring, storing, accessing, distributing, visualizing and analyzing information describing complex systems; the dynamics of information and its computational characterization. Dynamics Self-Organization Time series analysis and prediction; chaos; temporal correlations; the time scale of dynamic processes; spatio-temporal patterns; dynamic scaling; pattern formation; evolution, development and adaptation; interaction between internal dynamics and external inputs; programmability of self-organization. Networks Complex network topologies; small-world and scale-free networks; connectivity and centrality; motifs, cliques and communities; dynamical networks; adaptive networks; network modeling and analysis; modularity, degeneracy, redundancy, and substructure; visualization of networks. Methodology Computer simulation; agent-based modeling; data-driven research methods; analytical methods; nonlinear statistics; soft computing; methods and tools for complex systems education. The system categories are: Physical Chemical Systems Non-equilibrium processes; hydrodynamics; glasses; non-linear chemical dynamics; complex fluids; molecular self-organization; information and computation in quantum and classical physical systems; spatio-temporal patterns in physical systems from subatomic to astrophysical. Bio-Molecular Cellular Systems Systems biology; protein and DNA folding; bio-molecular informatics; membranes; cellular response and communication; genetic regulation; gene cytoplasm interactions; development; cellular differentiation; primitive multicellular organisms; the immune system; origins of life. Physiological Psychological Systems Nervous system; sensorimotor systems; computational models of neural and cognitive function; perception, cognition and action; psychological dysfunction; pattern recognition; learning and development; human machine interaction; autonomous mental development; neurocognitive networks. Organisms Populations Population biology; ecosystems; ecology; ecological networks; speciation; evolution. Human Social Economic Systems Social networks; corporate and social structures and dynamics; organizational behavior and management; markets; urban development; the global economy; military systems; global conflict; interactions between human and natural systems. Engineered Systems Design and manufacturing; nano-technology; bioengineering; modified and hybrid biological organisms; computer based interactive systems; multi-agent systems; artificial life; artificial intelligence; robots; communication networks; the Internet; traffic systems; distributed control; self organizing artifacts; complex systems engineering; biologically inspired engineering; sensor networks. ABSTRACT SUBMISSION AND PROCEEDINGS PUBLICATION: For presentation at the conference, authors should submit an abstract through the conference website. All the accepted abstracts will be published in the online proceedings on the conference website. Authors of accepted abstracts may submit full papers for inclusion in the online proceedings. Full paper submission is optional. Note to Authors If you plan to submit an abstract/paper to the conference, please follow the link on the conference website to the pre-submission page AS SOON AS POSSIBLE. You can update your submission's title, abstract, authors and paper at any time until the submission deadline. This pre-submission process will help the organizers estimate the number of incoming submissions and develop the conference program and other logistics efficiently. WORKSHOPS There will be several time slots available during the conference for organizing workshops on specific topics. All the accepted abstracts/papers for the workshop will be included in the conference proceedings as well. If you are interested in organizing a workshop, email the following information to sayama@binghamton.edu by December 20, 2010: Name(s) and contact information of the workshop organizer(s) Title of the workshop A short description of the workshop: (aim, scope, target audience, format and expected outcome) A list of confirmed and prospective speakers IMPORTANT DATES AND DEADLINES Workshop proposal: December 20, 2010 Abstract submission: February 28, 2011 Notification to authors: April 1, 2011 Early registration: April 15, 2011 Camera-ready abstract full paper submission: (full paper submission is optional) April 30, 2011 Conference: June 26 - July 1, 2011 Register at http://necsi.edu/events/iccs2011/ Space is limited, so register early. LOCATION AND ACCOMMODATIONS The conference will be held at the Boston Marriott Quincy in Quincy, Massachusetts, 8 miles south of downtown Boston. Reservations can be made directly with Marriott reservations at (866) 449-7387 or (617) 472-1000, or online at: www.quincymarriott.com . A block of rooms has been reserved at a conference discount rate of $159 + tax per night (single or double). Internet access is included. These rooms are available on a first-come, first-served basis. To receive the discount rate identify yourself as a member of ICCS 2011. The group code for making reservations online is NECNECA. These rates are available until Friday, May 27, 2011. Cancellations may be made up to 48 hours in advance without penalty. ORGANIZATION Executive Committee Founding Chair: Yaneer Bar-Yam (New England Complex Systems Institute, USA) General Chair: Ali A. Minai (University of Cincinnati, USA) General Co-Chair: Dan Braha (University of Massachusetts at Dartmouth, USA) Program Chair: Hiroki Sayama (Binghamton University, SUNY, USA) Program Committee Albert-Lszl Barabsi (Northeastern University, USA) Ginestra Bianconi (Nothestern University, USA) Philippe Binder (University of Hawaii, USA) Eric Bonabeau (Icosystem Corporation, USA) Josh Bongard (University of Vermont, USA) Seth Bullock (University of Southampton, UK) Guido Caldarelli (INFM, Rome, Italy) Iain Couzin (Princeton University, USA) Marcus de Aguiar (IFGW - UNICAMP, Brazil) Fred Discenzo (Rockwell Automation, USA) Ren Doursat (Complex Systems Institute, Paris, France) Margaret J. Eppstein (University of Vermont, USA) Carlos Gershenson (Univ. Nacional Autonoma de Mexico, Mexico) Robert Ghanea (British Telecom, UK) Thilo Gross (Max Planck Institute for the Physics of Complex Systems, Germany) Helen Harte (Community Health Plan, USA) Alfred Hubler (University of Illinois at Urbana-Champaign, USA) Mark Klein (Massachusetts Institute of Technology, USA) Juergen Kluever (University of Duisburg Essen, Germany) May Lim (University of the Philippines, Philippines) Czeslaw Mesjasz (Karakow University of Economics, Poland) Lilianne R Mujica-Parodi (Stony Brook University, SUNY, USA) Chrystopher Nehaniv (University of Hertfordshire, UK) Lael Parrott (Universit de Montral, Canada) Daniel Polani (University of Hertfordshire, UK) Christina Stoica (University of Duisburg Essen, Germany) Bill Sulis (McMaster University, Canada) Irina Trofimova (McMaster University, Canada) Len Troncale (California State University Pomona, USA) Jonathan Vos Post (Computer Futures, USA) Richard Watson (University of Southampton, UK) Janet Wiles (University of Queensland, Australia) Ian Wilkinson (University of New South Wales, Australia) David Wolpert (NASA Ames Research Center, USA) More PC members TBA FOR MORE INFORMATION Check the conference website: http://necsi.edu/events/iccs2011/ Contact us at iccs@necsi.edu cx-web@necsi.org
欢迎参加！欢迎参加！！ International Workshop on Modern Computational Geoscience Frontiers Agenda (July 1st-2nd, 2010) Lab of Computational Geodynamics，GUCAS，Beijing （中国科学院研究生院计算地球动力学实验室） Thursday, July 1 st 7:30 am - 8:30 am Reception Thursday, July 1 st Morning Sessions 8:30-8:40 am: Introduction 8:30 am - 8:35 am Dr. Yaolin SHI, Laboratory of Computational Geodynamics, GUCAS, Welcome 8:35 am - 8:40 am Dr. Xiaobo Ren (CAS representative), Bureau of Science and Technology for Resources and Environment, Chinese Academy of Sciences , Introductory Remarks Session 1: Chair: Dr. Yaolin Shi 8:40 am - 9:05 am Dr. Rui Gao and Dr. Xiaosong Xiong, Institute of Geology, Chinese Academy of Geological Sciences （ CAGS ） ,Beijing, China , MOHO depth and its variety in the continent of China indicated geodynamics for the deformation of the crust 9:05 am - 9:30 am Prof. Shunliang Chi, Earthquake Administration Bureau of Hebi City , Chinese Earthquake Administration, Hebi , Henan Province, P. R. China, Borehole Component Strain Observational Networks of China 9:30 am - 9:50 am Dr. Yongxian Zhang Department of Earthquake Prediction, China Earthquake Networks Center, Chinese Earthquake Administration, Beijing, P. R. China, Retrospective Study on the Predictability of Pattern Informatics to Large Earthquakes in West Continental China 9:50 am - 10:10 am Dr. Zhongqi Yue, Department of Civil Engineering, The University of Hong Kong, Hong Kong, P.R. China , Highly Compressed Natural Gas in Deep Fault Traps as the Energy Source for Earthquakes 10:10 am - 10:30am Coffee Break Taking Photo, the Main Entrance of Laboratory of Computational Geodynamics Session 2: Chair: Dr. Rui Gao 10:30 am - 11:00 am Dr. Zhongliang Wu, Institute of Geophysics, Chinese Earthquake Administration and Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, Beijing, China, The L'Aquila Case: A Preliminary Analysis of an On-going Event of the Sociology of Earth Science 10:50 am - 11:10 am Dr. Christian David, Universit de Cergy-Pontoise (University Cergy-Pontoise), France, Physical properties of core samples from the TCDP boreholes near the Chelungpu fault in Taiwan 11:10 am - 11:30 am Dr. Huijing Huang, Bureau of International Cooperation, Chinese Academy of Sciences, Beijing, China, Platform management experience of overseas talent 11:30 am - 11:50 am Dr. Yongen Cai, School of Earth and Space Sciences, Peking University, Beijing, China, Study of factors affecting tsunami generation, propagation and run-up using models including seawater-seafloor interaction 12:00 pm - 1:30 pm Lunch Session 3: Chair: Dr. Zhongliang Wu 1:30 pm - 1:50 pm Dr. Yves M. LEROY, Laboratoire de gologie de lEcole normale suprieure , Paris , France , Fault-related folds and triangular zones in fold-and-thrust belts by optimization 1:50 pm - 2:10 pm Dr. Shaomeng Li, Environment Canada, Volatility of Organics: Physical and Chemical Evolution of Primary Particles 2:10 pm 2:30 pm Dr. Xiaoru Yuan, School of Electronics Engineering and Computer Science, Peking University , Beijing , China , Scalable Multi-variate Visual Analytics of Temporal/Spatial Data 2:30 pm - 2:50 pm Dr. Pingen Li, Institute of Geophysics , Chinese Earthquake Administration Beijing , China , Ability analysis of staggered-grid finite difference to solve elastic wave equations in 3D anisotropic media 2:50 pm - 3:10 pm Dr. Hui Wang, Institute of Earthquake Science , Chinese Earthquake Administration Beijing , China , Balance of Seismic moment in eastern Tibet : Implications for the 2008 Great Wenchuan earthquake 3:10 pm - 3:30 pm Mr. Yujun Sun, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, The stress and strain rate analysis in Taiwan region by full 3D FEM simulation 3:30pm - 3:50 pm Coffee Break Session 4: Chair: Dr. Yves Leroy 3:50 pm - 4:10 pm Wenke Sun, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, Geodynamic Move of the Tibetan Plateau Revealed by Gravity/GPS and GRACE 4:10 pm - 4:30 pm Dr. Senjie Lin, Department of Marine Sciences, University of Connecticut , USA , Molecular insights of N fixation in the deep sea 4:30 pm - 4:50 pm Dr. Meijian An, Institute of Geomechanics, Chinese Academy of Geological Sciences （ CAGS ） ,Beijing, China , Post-Paleogene Destruction of Lithosphere beneath the North China basin Inferred from Surface Wave Tomography 4:50 pm - 5:10 pm Dr. Caibo Hu, School of Earth and Space Sciences, Peking University , Beijing , China , A new method to study earthquake triggering and continuous evolution of stress field 5:10 pm - 5:30 pm Miss. Qianqian Liu, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, Exploration of Regional Heat Flow from Meteorological Geothermal Data 5:40 pm - 7:00 pm Dinner Friday, July 2 nd Session 5: Chair: Dr. Wenke Sun 8:30 am - 8:50 am Dr. Sheng Yu, Nation Science Foundation of China (NSFC), Beijing , China , New Tendency and Frontiers of Modern Geophysics Development 8:50 am - 9:10 am Dr Huilin Xing, Earth Systems Science Computational Centre The University of Queensland ,St Lucia, QLD 4072, Australia, Towards an Integrated Simulator for Multiscale Crustal Dynamics 9:10 am - 9:30 am Dr. Fuqiong Huang Department of Earthquake Prediction, China Earthquake Networks Center, Beijing, China, The Physics of Earthquake Induced Water Level Changes 9:30 am - 9:50 am Dr. Changsheng Jiang, Institute of Geophysics , Chinese Earthquake Administration Beijing , China , Evaluation of background seismicity and potential source zones of strong earthquakes in the Sichuan-Yunan region 9:50 am - 10:10 am Miss. Xiaoshi Li, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, The fine evolution characteristics and mechanisms of macromolecular structure of Tectonic Deformed Coals 10:10 10:30 Coffee Break Session 6: Chair: Dr. Huilin Xing 10:30 am - 10:50 am Dr. Mei Feng, The Indo-Eurasian collision effect on the Tibetan Plateau evolution inferred from surface-wave tomography, Institute of Geomechanics, Chinese Academy of Geological Sciences （ CAGS ） ,Beijing, China , Post-Paleogene Destruction of Lithosphere beneath the North China basin Inferred from Surface Wave Tomography 10:50 am - 11:10 am Miss. Lingyuan Meng, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, Differential Energy Radiation from Two Earthquakes with Similar Mw: The Characteristics of Strong Ground Motion 11:10 am - 10:30 am Miss. Lingling Xiao, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, Metamorphic reactions and metamorphic P-T paths of the Precambrian metamorphic complex, Zanhuang, Hebei, north China 11:30 am - 11:50 am Dr. Han Li, Laboratory of Computational Geodynamics, Graduate University of Chinese Academy of Sciences, Beijing, China, New Results on the Evolution of Martian Mid-latitude Relic Ice Deposits 12:00 pm - 1:30 pm Lunch Organizing Committee : Dr. Yaolin Shi, Chair of Academic Committee, Laboratory of Computational Geodynamics, GUCAS, Chair Dr. Wenke Sun, Director, Laboratory of Computational Geodynamics, GUCAS,Co-Chair Dr. Dongping Wei, Dean of College of Earth Science, GUCAS,Co-Chair Dr. Huai Zhang, Geophysical Professor of College of Earth Science, GUCAS,Secretary Total 27 presentations
在德做访问学者期间，有幸参与所在单位每年冬天举办的为期三天的workshop。幸运的是，这次的workshop所用的语言是英语，尽管他们99%都是德国人（平时的报告大都是德语的，令我望尘莫及）。 在一个飘雪的隆冬季节，我们浩浩荡荡二十余人，驱车40分钟，带着三天的吃喝，背上夜宿的睡袋，踩着没膝的积雪，深一脚浅一脚地抵达了一个山脚下前不着村后不着店的林间小木屋。本以为小木屋是一个很原始的简陋房子，没想到里边的设施还很现代，活动室、厨房、餐厅、卧室、卫生间等一应俱全。外面滴水成冰，室内却很温暖。刚开始我天真地以为暖气是靠厨房里的壁炉供热的，后来经人指点才知道靠的是燃气壁挂炉；厨房里熊熊燃烧的壁炉，只是一种情调而已。 Workshop一共进行了三天，时间是这样安排的： 第一天，上午到达，午饭后进行4个主题报告； 第二天，上午5个主题报告，下午自由活动，晚饭前一个小时的分组讨论； 第三天，上午4个主题报告，午饭后收拾行李，打扫卫生，返回。 关于主题报告，形式和我们常见的差不多，每人讲大约半个小时。感触颇深的是他们的讨论，极其热烈，每个人，无论是老师还是学生（都是硕士生和博士生），都积极地自信地发言，没人担心问的问题或提的意见太小儿科而不好意思发言，也没人武断地打断别人的发言来显示自己的权威；甚至从说话人的口气来判断，不知情的人根本分不出哪个是老师哪个是学生；大家都非常自信，每个人都是平等的。这样的讨论方式，与我之前所经历的workshop有着很大的区别。因为自己一直是个小人物，人微言轻，在一些听报告的场合很少发言，因为总担心自己提的问题太低级而被人嘲笑，或者被某个权威牛人毫不客气地打断。尽管我没有这样的遭遇，但我却看到过类似的情况，所以害怕了，不敢说话了。我们的权威太多，学术上有学霸，工作上有领导，小人物也只有缄默的份儿。 自由活动时间，教授和学生更是平等的，每个人都很天真、单纯。教授拉上滑雪车从山坡上冲下来，摔个嘴啃泥也毫不在乎；几个大人围在一起玩貌似比较小儿科的扔飞盘游戏也乐在其中，甚至为了接一个侧面飞来的飞盘而奋不顾身地整个人倒在积雪中。还有人带着专业的滑雪设施跑到更高的山坡上过瘾。除了我之外，每个人玩得都很放松，很随意。 第二天晚饭前一个小时的分组讨论，再次让我深有感触。 教授把大家分成三组，每组一个主题，分头讨论，达成共识，再拿到大家面前讨论。 三个主题分别是： Group A: What makes a good presentation? Group B: What makes a good paper? Group C: How best to write-up research/optimize process of writing paper? 我被分到A组，讨论如何做一个好报告。大家你一言我一语地发表自己的看法，从报告的结构、陈述的观点、片子的布局、演讲者的口气及肢体语言等几个方面分别罗列好与不好的方面。 讨论完之后，每个小组选一个代表在大家面前讲一讲，继续完善内容。Workshop之后的第二天，每个人都收到一份整理好的三个讨论主题的共识。仔细研读一遍，受益匪浅！ ---------------------------------------------- 通往小木屋的路上，深深的积雪 林间小木屋 近看小木屋，还是好几层的楼房。楼下是厨房、餐厅、会议室；楼上是卧室。 厨房。进来时是空的，上面摆的东西都是大家背来的:) 壁炉 简易的会议室兼活动室，投影仪和电脑也是自带的。 夜色中的小木屋 自由活动时间，大家包裹严实走出户外 拉着滑雪车上坡 在没膝的积雪中投掷飞盘
Conferences Meetings | Exhibits Advertising | Training | Online Learning | Membership | Get Involved Register Today! Early Drug Development: Navigating the Treacherous Rapids March 3-4 | Marriott Bethesda (Pooks Hill) Bethesda, MD Join our new interactive workshop and explore definitive concepts to help navigate key project issues in the early drug development continuum. Youll receive an information package for a fictitious compound that has just reached candidate selection for three different indications, and then you will team into groups to work through the data, issues, and strategic discussions that will arise as your compound progresses through these time frames: Candidate selection to three months post-candidate selection Three to eight months post-candidate selection Eight months post-candidate selection to IND submission / FDA review Active IND to end of Phase 1 End of Phase 1 to end of Phase 2a Read your workshop program to learn more! Register Online | Download Program DIA Members register by February 10 and save $150! Not a DIA member? Group discounts also available! Contact Information JoAnn Boileau Phone: 215.442.6175 JoAnn.Boileau@diahome.org Other Events of Interest: 46th Annual Meeting June 13-17 | Washington, DC Forward to a Friend Join us on Facebook Join us on LinkedIn Follow us on Twitter
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