Invited Speakers  

Session: Invited Talk 1
Date Time:   2011-09-21   From   09:00   To   10:30
  -- Advanced User Interfaces   Data Integration   Mobile Process Management = Save Yourself !!  The WORKPAD project for supporting emergency operators
      Tiziana Catarci (University of Roma La Sapienza, Italy)
Abstract Emergency management is a complex discipline, comprising several different needs and activities, which have to be supported by defining and realizing sophisticated systems dealing with many diverse information and bound by time constraints . In particular, creating systems supporting emergency operators on the field at emergency time is a real challenge, with requires interdisciplinary approaches and multiple competencies. In this talk, on the basis of the real experiences gained in leading a successful EU research project, it will be discussed how merging mobile computing, process management, data integration and advanced user interfaces, all driven by a user-centered design, resulted in an interesting system, namely WORKPAD, which has been considered a success story.
Session: Invited Talk 2
Date Time:   2011-09-22   From   09:00   To   10:30
-- Challenges in Societal Data Management
      Mário J. Silva (Universidade Tecnica de Lisboa, Portugal)
Abstract In the experimental sciences, scientists have to cope with managing large volumes of data generated either by observing phenomena or by sophisticated simulations. The amount of data and complexity are always increasing, leading to the creation of public databases shared by communities for exploring and deriving scientific results from such data. This approach has been embraced in many fields, such as particle physics and bioinformatics. Recently, the advent of social networks and web applications providing incentives for providing, even publishing, personal data motivated the collection and use of such data in the health and social sciences. Increasingly sophisticated algorithms are being created to collect user data from social media and then generate analyses and derive predictions from societal data. However, particles have no privacy, but people do. This approach must be carefully thought when the collected data has information about human activity or traits. The benefits from the analyses of societal data can be immense, but the risks must be thoughtfully assessed and mitigated through conscious use of IT. My talk reflects upon these issues based on my experience in a couple of recent research projects dealing with epidemics and computational journalism.

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