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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>DATA SIM Summer School on 'Mobility modeling and big data sources' (July 15-18, 2013) at Hasselt University<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>The Transportation Research Institute (IMOB) of Hasselt University organizes the first DATA SIM Summer School on 'Mobility modeling and big data sources'. The summer-school is aimed at both senior researchers, early-stage researchers, practitioners and (PhD) students in the domains of transportation sciences, data mining, behavioral modeling, activity-based travel demand analysis, agent-based-simulation and related topics.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>LECTURES, GRADUATE SYMPOSIUM AND POSTER SESSIONS<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>This summer-school will feature a series of lecturers by renowned researchers in the field.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Furthermore, participants will have the opportunity to present their own work and get feedback during the graduate symposium sessions. Participants are encouraged to present their work in focus sessions supervised by a coach who is an expert in the field. Participants interested in presenting their work shall submit a 1 page (A4) abstract describing the main research objectives and methods used. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Finally, participants can exchange ideas with people in different focus groups, during one of the poster sessions.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>CERTIFICATES<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Participation Certificates will be issued to all participants of the summer-school.<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>TOPICS<o:p></o:p></p><p class=MsoNormal> 1. Mobility modeling : basic principles and tools<o:p></o:p></p><p class=MsoNormal> 1. Behavior modeling, activity based models (activity selection, planning,<o:p></o:p></p><p class=MsoNormal> daily schedule generation)<o:p></o:p></p><p class=MsoNormal> 2. Multi-modal trips<o:p></o:p></p><p class=MsoNormal> 3. Modeling cooperation, cooperative scheduling (e.g. carpooling)<o:p></o:p></p><p class=MsoNormal> 4. Ontologies<o:p></o:p></p><p class=MsoNormal> 5. Traffic and transportation related models, travel demand prediction models<o:p></o:p></p><p class=MsoNormal> 6. Simulations in practice : what conclusions can be drawn ? <o:p></o:p></p><p class=MsoNormal> 2. Special focus : Agent based modeling and simulation for : mobility, travel behavior,<o:p></o:p></p><p class=MsoNormal> mobility market, electromobility (including smartgrid), ...<o:p></o:p></p><p class=MsoNormal> 1. Delimiting the domain of applicability : where can AgnBM be useful ?<o:p></o:p></p><p class=MsoNormal> 2. Models for cooperation, mutual influence, negotiation<o:p></o:p></p><p class=MsoNormal> 3. Computability issues, scalability<o:p></o:p></p><p class=MsoNormal> 4. Ontologies<o:p></o:p></p><p class=MsoNormal> 5. How to interpret results ? What can be expected ? <o:p></o:p></p><p class=MsoNormal> 3. Big data as source for modeling<o:p></o:p></p><p class=MsoNormal> 1. Big data repositories<o:p></o:p></p><p class=MsoNormal> 2. Annotation, semantic enrichment of big data<o:p></o:p></p><p class=MsoNormal> 3. Data mining and process mining to extract information from big data<o:p></o:p></p><p class=MsoNormal> 4. Crowd sourcing and publicly available data : pitfalls and challenges<o:p></o:p></p><p class=MsoNormal> 5. Using data from different sources : how to align ? <o:p></o:p></p><p class=MsoNormal> 4. Integrating big data and modeling<o:p></o:p></p><p class=MsoNormal> 1. Using big data to feed models or to validate model execution results<o:p></o:p></p><p class=MsoNormal> 2. How to integrate semantically poor big data with small sets of semantically<o:p></o:p></p><p class=MsoNormal> rich data as input for microSimulation or agent based modeling ? <o:p></o:p></p><p class=MsoNormal> 5. Applications<o:p></o:p></p><p class=MsoNormal> 1. Electric vehicles (including smart grid concepts)<o:p></o:p></p><p class=MsoNormal> 2. Carpooling (cooperation on trip traveling)<o:p></o:p></p><p class=MsoNormal> 3. Multi-modality and car-sharing (cooperation on resource usage)<o:p></o:p></p><p class=MsoNormal> 4. Markets based on big data related to traffic<o:p></o:p></p><p class=MsoNormal> 1. Business models for EV, multi-modal trips, car-sharing, carpooling, ...<o:p></o:p></p><p class=MsoNormal> 2. Online support systems (ride sharing advisors)<o:p></o:p></p><p class=MsoNormal> 3. Traffic load prediction systems <o:p></o:p></p><p class=MsoNormal> 5. Effect of EV characteristics (range anxiety, charging time, limited range) on<o:p></o:p></p><p class=MsoNormal> household travel behavior <o:p></o:p></p><p class=MsoNormal> 6. Hot research topics in transportation behavior, traffic safety and logistics. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span lang=NL-BE>LOCATION<o:p></o:p></span></p><p class=MsoNormal><span lang=NL-BE>Hasselt University, Campus Diepenbeek, Agoralaan gebouw D, 3590 Diepenbeek Belgium<o:p></o:p></span></p><p class=MsoNormal><span lang=NL-BE><o:p> </o:p></span></p><p class=MsoNormal>DETAILS - MORE INFO<o:p></o:p></p><p class=MsoNormal>http://www.datasim-fp7.eu/<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>CONTACT<o:p></o:p></p><p class=MsoNormal>luk.knapen@uhasselt.be<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>