.. link: .. description: This program will be updated frequently. .. tags: .. date: 2013/07/03 08:29:47 .. title: Symposium Program .. slug: program .. class:: span12 The Talks will be transmitted live through the web: http://www.fgv.br/aovivo .. class:: hero-unit span12 .. admonition:: All talks will be in English / Todas as palestras serão em Inglês. Because of the international nature of this gathering, English will be the official language. Devido à natureza internacional deste encontro, todas as palestras serão em Inglês. .. class:: span7 Conference Time Table ===================== .. raw:: html

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timeOctober 24thtimeOctober 25th

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8:30:00Registration / Coffe8:30:00Data Analytics I

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10:00:00Opening - Welcome messageTrevor Bailey

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Conference OrganizersRenato Assunção

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10:20:00Data Access PoliciesAndrea Iabrudi

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Pablo CerdeiraClaudia Medina Coeli

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Marco Andreazzi10:30:00coffe break

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Miriam Ventura10:50:00Data Analytics II

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12:00:00Lunch breakSander van Noort

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14:00:00Data SourcesGustavo Diniz

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Wim de GraveGabriel Laporta

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Haroldo Lopes12:30:00Lunch break

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Mark Smolinski14:00:00Plenary Talk

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15:40:00Coffe-breakCarl Koppeschaar

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16:00:00Plenary Talk15:00:00Coffee-break

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Christopher Stephens15:20:00Big Data Applications

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17:00:00Poster SessionFabrício Silva

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Maurício Barreto

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Gabriela Gomes

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Fernando Koch

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17:30:00Closing
.. admonition:: `Accepted Posters. `_ Posters which were accepted by the Scientific Comittee will remain on display on the main hall during the entire event, but the authors are expected to stand next to their poster during the scheduled poster session. .. class:: span4 Thematic Areas ============== * Data sources and their availability. Current status and challenges. - Compliance with the Information Access Law - Machine accessibility to public datasets - Data harvesting from Social media - Heterogeneity of data sources: challenges to integration and cross-referencing - Maintenance and Updating of data. * Data analysis - Challenges of analyzing Large Datasets - Streaming data analysis - Information Visualization and visual analytics: - Data-driven Science - Machine Learning - Mathematical Modeling - Statistical Modeling - Record Linkage * Big Data Applications in Public Health - Syndromic surveillance - Epidemic Intelligence and early warning systems - Disease incidence surveillance - Climate and Disease surveillance - Online inference of health risks - Large scale simulation and scenario analysis