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The 2014 edition addresses Ph.D. students, junior and senior researchers to the forefront of research activity on data mining and computational models for the analysis, modeling and understanding smart cities. Recognized authorities in the field will give formal lectures tailoring these for an interdisciplinary audience. Participants will also have the opportunity to present the results of their research during a short communication session. As a whole, the planned summer school will allow participants to be exposed to cutting edge results in one of the most challenging research area, while at the same time enjoying the relaxing atmosphere of one of the most beautiful italian islands.SpeakersLuis Bettencourt
Santa Fe Institute, USA
National Centre for Geocomputation, Ireland
The Bartlett Centre for Advanced Spatial Analysis, UK
Guest SpeakersSanto Fortunato
Citation dynamics: characterization, modelling and impact on science
Aalto University, Finland
Towards self-regulating, resilient systems
ETH Zurich, Switzerland
9th International Summer School/Conference
El Centro de Ciencias de la Complejidad (C3) tiene el placer de organizar un evento para un amplio público con ponentes invitados nacionales e internacionales con el objetivo de mostrar los beneficios que el enfoque de la complejidad ha logrado en diversas áreas, incluyendo sistemas biológicos, sociales, culturales y tecnológicos. Durante el evento también se presentarán los distintos programas de investigación que se están desarrollando en el C3 y el proyecto del nuevo edificio del C3 en Ciudad Universitaria. Con este simposio se invita a la comunidad universitaria a participar y colaborar en el desarrollo de proyectos y la resolución de problemas en campos múltiples usando las herramientas que ofrecen las ciencias de la complejidad.
Simposio Complejidad y Multidisciplina El Centro de Ciencias de la Complejidad de la UNAM (4, 5 y 6 de noviembre, 2013) Auditorio Alfonso Caso, Ciudad Universitaria
Via Complexity Digest
EVENT: Open Knowledge Conference-: Geneva 2013
The Santa Fe Institute's Short Course on Complexity: Exploring Complex Networks
"Science has explored the microcosmos and the macrocosmos; we have a good sense of the lay of the land. the great unexplored frontier is complexity."
Heinz Pagels, The Dreams of Reason
September 4-6, 2013
Topical Theme: Networks
Hilton Garden Inn Austin Downtown
This two-and-a-half day introductory course focuses on the science ofnetworks: a new field that studies common principles of complex networks across disciplines. Social and economic networks, food webs, the World Wide Web, and the power grid are examples of the kinds of systems that network science seeks to understand. In this course, taught by prominent Santa Fe Institute faculty and associates, you will learn the basic concepts and tools of this new science, and see several case studies of their application in diverse areas. You will also have the opportunity for discussion with the faculty and other participants about applications within your own areas of interest. You will come away with an understanding and appreciation of the importance of network science for biology, ecology, economics, business, human health, social life, and other pursuits.
This course is specifically designed for professionals, faculty, students and others who are curious to explore and apply ideas from network science. This course has no prerequisites and requires no specific math or science background. Examples of people who will particularly benefit from this course are managers and policy-makers in business, government, and non-profit organizations; industrial research and development staff; medical, social work, and education professionals; journalists; and university faculty and students in any area of science or social science.
10:00: Reception and refreshments
10:30-11:30: Setting the stage
Welcome address – Domenico Laforenza (President CNR Research Campus), Nicoletta De Francesco (Univ. Pisa, Vice-Rector)
Opening remarks – Claudio Montani (ISTI-CNR, Director), Franco Turini (Dip. Informatica Univ. Pisa, Director).
Towards a Euro Lab on Big Data Analytics & Social Mining – Marco Conti (DIITET-CNR, Director)
Big Data Analytics & Social Mining for Science and Society – Fosca Giannotti (ISTI-CNR)
Democratizing big data: the ethical challenges of social mining – Dino Pedreschi (Univ. Pisa)
Big data big insights: the coming age of computational social science
David Lazer, Professor of Political Science and Computer and Information Science, Northeastern University, Boston, MA. Director, Program on Networked Governance, Harvard University
12:00-13:30: Panel – Big data & social mining: new models for participation and policy making
Stella Targetti (Regione Toscana, Vice-President), Franco Accordino (EC), Emanuele Baldacci (ISTAT), Cosimo Comella (Garante Privacy), Flavia Marzano (Stati Generali dell'Innovazione)
Moderator: Luca De Biase (Il Sole 24 Ore)
13:30-14:30: Lunch break
14:30-16:00: SoBigData pills
Twitterology - Monitoring trend and engagement with social media mining Maurizio Tesconi (IIT-CNR)
Sociality - Exploring the structure of society Andrea Passarella (IIT-CNR)
Sentimentality - Sentiment quantification and opinion surveys Fabrizio Sebastiani (ISTI-CNR)
Searchology - Good answers for difficult questions Raffaele Perego (ISTI-CNR)
Mobility - Understanding human mobility Chiara Renso (ISTI-CNR | Univ. Pisa)
Economy - Big data in finance and economics Fabrizio Lillo (Scuola Normale Superiore), Guido Caldarelli (IMT Lucca)
Well-being - Big data and official statistics – monitoring poverty/well-being at any scale Monica Pratesi (Univ. Pisa), Filomena Maggino (Univ. Firenze)
Efficiency - Do you need a big computer or a great algorithm? Paolo Ferragina (Univ. Pisa)
Life-Book - personal space in the digital world - Marco Gori (Univ. Siena)
16:00-17:30: Panel – Big data & social mining: new models for social innovation and business
Renato Soru (Tiscali), Oscar Cicchetti (Telecom Italia), Tina Martino (Octotelematics), Gianluca Gigliucci (ENEL Ricerca), Andrea Di Benedetto (CNA, Ass. Giovani Industriali),
Moderator: Luca De Biase (Il Sole 24 Ore)
Scientific Organizing Committee
Fosca Giannotti, Knowledge Discovery and Data Mining Lab KDD LAB, ISTI-CNR, PisaRaffaele Perego, High-Performance Computing Lab HPCLAB, ISTI-CNR, PisaFabrizio Sebastiani, Networked Multimedia Information Systems Lab NeMIS LAB, ISTI-CNR, Pisa Andrea Passarella, Ubiquitous Internet Lab, IIT-CNR, PisaMaurizio Tesconi, Web Applications for the Future Internet WAFI LAB, IIT-CNR, PisaDino Pedreschi, Knowledge Discovery and Data Mining Lab KDD LAB, Dip. Informatica, Univ. PisaPaolo Ferragina, Advanced Algorithms and Applications ACube Lab, Dip. Informatica, Univ. PisaMonica Pratesi, Dip. Economia e Management, Univ. PisaGuido Caldarelli, NETWORKS Lab, IMT LuccaFabrizio Lillo, Quantitative Finance, Scuola Normale Superiore, PisaRoberto Barontini, Management of Innovation, Scuola Superiore S. Anna, PisaPaolo Raviolo, Univ. SienaFilomena Maggino, Dip. Informatica e Statistica, Univ. Firenze
Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, ISTI-CNR, Pisa. Director: Claudio MontaniDipartimento di Informatica, Univ. Pisa. Director: Franco TuriniIstituto di Informatica e Telematica, IIT-CNR, Pisa. Director: Domenico LaforenzaRegione Toscana. Direzione Generale Presidenza, Ufficio di collegamento con l’Unione Europea, Ricerca ed Innovazione. Policy Officer: Livio StefanelliDipartimento CNR di Ingegneria, ICT e Tecnologie per l’Energia e i Trasporti. Director: Marco Conti
09:00 – 09:30 Registration
18:30 Dinner on Site
09:00 – 10:30 Keynote – Michael Zimmer : “Google Glasses and the Surveillance of Everyday Life”
17:30 – 22:00 Social Event and Dinner
10:00 – 11:00 Niels ten Oever : “Privacy in Danger : Lessons from the Arab Spring”
17:00 End of the Summer School : DrinksVenue and Accommodation
All lectures will be held in TBM (Faculty of Technology, Policy and Management), room J.
ECCS’14 will be a major international conference and event in the area of complex systems and interdisciplinary science in general. It will offer unique opportunities to study novel scientific approaches in a multitude of application areas. Two days of the conference, 24 and 25 of September, are reserved for satellite meetings, which will cover a broad range of subjects on all aspects of Complex Systems, as reflected by the conference tracks.
Accurate predictions of the demand and market shares are critical for a wide variety of businesses and public organizations. Examples of applications include: predicting demand for a new product under alternative pricing strategies; designing a business plan for a new technology; analyzing the impact of a merger on market shares; forecasting the ridership on a new metropolitan transit service; and analyzing competitive scenarios for introducing a new telecommunication service.
To accomplish these tasks, discrete choice analysis provides powerful methodological tools. Based on the modeling of individual behavior, it is used to model in detail the structure of a market, and to predict the impact of various scenarios.
This one-week program undertakes an in-depth study of discrete choice models and their applications. It provides participants with the practical tools necessary for applying new discrete choice techniques. By examining actual case studies of discrete choice methods students will be familiarized with problems of data collection, model formulation, testing, and forecasting and will gain hands-on application experience by using readily available software to estimate and test discrete choice models from real databases. The course will emphasize applications of discrete choice methods to strategic and tactical marketing and to policy-related problems.
The course will cover the following topics:Fundamental methodology, e.g. the foundations of individual choice modeling, random utility models, discrete choice models (binary, multinomial, nested, cross-nested logit models, MEV models, probit models, and hybrid choice models such as logit kernel and mixed logit);Data collection issues, e.g. choice-based samples, enriched samples, stated preferences surveys, conjoint analysis, panel data;Model design issues, e.g. specification of utility functions, generic and alternative specific variables, joint discrete/continuous models, dynamic choice models;Model estimation issues, e.g. statistical estimation, testing procedures, software packages, estimation with individual and grouped data;Forecasting techniques, e.g. aggregate predictions, sample enumeration, micro-simulation, elasticities, pivot-point predictions and transferability of parameters;Examples and case studies, including marketing (e.g., brand choice), housing (e.g., residential location), telecommunications (e.g., choice of residential telephone service), energy (e.g., appliance type), transportation (e.g., mode of travel).It is assumed that participants have a basic knowledge of statistical methods, including linear regression models. No a priori knowledge of discrete choice models is needed. Basic topics are covered early in the week, while more advanced topics are covered later. An introduction to the software package BIOGEME that will be distributed at the course will be provided during the first lab, prior to working on the case studies. It may be useful to review basic statistical methods in a textbook such as
R. J. Larsen and M. L. Marx (2001) An Introduction to Mathematical Statistics and Its Applications (3rd Edition), Prentice Hall (chapters 1 to 6)
The participants will use their own laptop computers during the lab sessions.The course has been designed by Prof. Ben-Akiva who is offering it every summer at the Massachusetts Institute of Technology. It is organized in Europe by Prof. Michel Bierlaire, from the Transportation and Mobility Laboratory atEPFL.
Intense scientific debate is going around the definition of the foundational concepts and appropriate methodological approaches to deal with the understanding of social dynamics. These challenges are aiming to understand human behavior in its complexity driven by intentional (and not necessarily rational) decisions and influenced by a multitude of factors. The functioning of communication-based mechanisms requires individuals to interact in order to acquire information to cope with uncertainty and thus deeply rely on the accuracy and on the completeness of information (if any). In fact, people’s perceptions, knowledge, beliefs and opinions about the world and its evolution, get (in)formed and modulated through the information they can access. Moreover their response is not linear as individuals can react by accepting, refusing, or elaborating (and changing) the received information.
Technology-mediated social collectives are taking an important role in the design of social structures. Yet our understanding of the complex mechanisms governing networks and collective behaviour is still quite shallow. Fundamental concepts like authority, leader-follower dynamics, conflict or collaboration in online networks are still not well defined and investigated – but they are crucial to illuminate the advantages and pitfalls of this form of collective decision-making (which can cancel out individual mistakes, but also make them spiral out of control).
The aim of this satellite is to address the question of ICT mediated social phenomena emerging in multiple scales ranging from the interactions of individuals to the emergence of self-organized global movements. We would like to gather researchers from different disciplines to form a forum to discuss ideas, research questions, recent results, and future challenges in this emerging area of research and public interest.
Particular attention will be devoted to the following topics:
Interdependent social contagion processPeer production and mass collaborationTemporally evolving networks and stream analyticsCognitive aspects of belief formation and revisionOnline communication and information diffusionViral propagation in online social networkCrowd-sourcing: herding behaviour vs. wisdom of crowdsE-democracy and online government-citizen interactionOnline socio-political mobilizationsPublic attention and popularity
All the participants of the satellite meeting (with or without abstract submission) must register for the European Conference on Complex Systems 2013.
The International Conference on Social Informatics (SocInfo 2013) is an interdisciplinary venue for researchers from Computer Science, Informatics, Social Sciences and Management Sciences to share ideas and opinions, and present original research work on studying the interplay between socially-centric platforms and social phenomena. The ultimate goal of Social Informatics is to create better understanding of socially-centric platforms not just as a technology, but also as a set of social phenomena. To that end, we are inviting interdisciplinary papers, on applying information technology in the study of social phenomena, on applying social concepts in the design of information systems, on applying methods from the social sciences in the study of social computing and information systems, on applying computational algorithms to facilitate the study of social systems and human social dynamics, and on designing information and communication technologies that consider social context.
This year SocInfo 2013 will be co-located with WebDB Forum 2013. WebDB Forum 2013 is a Japanese domestic forum that covers a wide range of areas regarding database and Web, and usually attracts about 300-400 participants from industry, government, and academia.
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ICCS 2013 : International Conference on Complex Systems
Dubai, United Arab Emirates
The XXXIV. International Conference on Complex Systems aims to bring together leading academic scientists, researchers and scholars to exchange and share their experiences and research results about all aspects of Complex Systems, and discuss the practical challenges encountered and the solutions adopted.
In the recent past conference has been held in Amsterdam, Bali, Bangalore, Bangkok, Barcelona, Berlin, Budapest, Cairo, Cape Town, Copenhagen, Dubai, Florence, Heidelberg, Hong Kong, Istanbul, Johannesburg, Krakow, Kuala Lumpur, London, Lucerne, Madrid, Malaga, Melbourne, New York, Nice, Osaka, Oslo, Paris, Penang, Perth, Phuket, Prague, Rio de Janeiro, Rome, Singapore, Stockholm, Sydney, Tokyo, Toronto, Venice, Vienna.
IMPORTANT DATES Paper submission
Notification of acceptance
Final paper submission and authors' registration
July 31, 2013
CONFERENCE VENUE AND ACCOMMODATION
Date: Tuesday, July 16, 2013Location: Embassy of Switzerland in Tokyo
The main purpose of the symposium is to intensify collaboration and to set a joint global research agenda to address and discuss the main challenges faced by our society in the realm of the new internet and communication technology era. The ultimate scope will be to highlight the ability of the scientific enterprise in creating economic growth, solving social problems, and satisfying the essential human drive to understand the world where we live. In addition to creating netwroking opportunities, the event is aimed at bringing separate branches of science and technology together, opening wider horizons for otherwise impossible collaborations.
The meeting is jointly organized by ETH Zurich and the Science & Technology Office of the Embassy of Switzerland in Tokyo.
This event is by invitation only.
Future Network and MobileSummit 2013 takes place in Lisbon, Portugal, 03 - 05 July 2013. This is the twenty-second in a series of Annual Conferences supported by the European Commission, which regularly attracts delegates from industry and research to share experiences and research results, identify future trends, discuss business opportunities and identify opportunities for international research collaboration under FP7-ICT and Horizon 2020. It will thus contribute to showcasing European research in the field, and position it within the multiplicity of related initiatives supported in other regions of the world.
In the context of convergence and innovation, the 22nd Future Network and MobileSummit will address the challenges of building the Future Internet Infrastructures, based on mobile, wireless and fixed broadband communications technologies.
The Final Programme incorporates Plenary, Panel, paper and poster sessions and workshops.
FutureNetworkSummit 2013 will be opened by the General Co-chairs: Mário Campolargo, Director for "Net Futures", DG CONNECT, European Commission and Zeinal Bava, CEO, Portugal Telecom.
Keynote Speakers include:
- Dr. Aref Chowdhury, Chief Technology Officer Optics, Alcatel-Lucent
- Ulf Wahlberg, Vice President, Industry and Research Relations, Ericsson
- Dr. Stefan Ferber, Director Business Development, Bosch Software Innovations
Panel Sessions include:
Towards Virtualised Networks
Optical Networking: Enabler for the Future Converged Networks
Public Safety Future Networks: Industry and Stakeholder Views on Emerging Technologies, Standardisation Status and Regulatory Issues
Supported by the European Commission and the Net!Works European Technology Platform, Future Network and MobileSummit integrates high-level industry/policy plenary sessions that discuss strategic issues for Future Networks with high quality technical/scientific tracks and workshop sessions. Technical/scientific tracks present papers that showcase original results and hot topics in all areas of mobile, wireless and fixed broadband communications systems and networks.
About the Summer School
DATA SIM Summer School 2013
The Transportation Research Institute (IMOB) of Hasselt University organizes the first DATA SIM Summer School on 'Mobility modeling and big data sources'. This Summer School will take place at Hasselt University, Campus Diepenbeek from Monday July 15th to Thursday July 18th.
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