Last year’s International System Dynamics Society conference and the wonderful series of XMILE webinars highlighted the complementarity of SD models with dynamic, complex, and multi-dimensional data sets. In short, systems models add a causal component to the variety of technologies and concepts termed “Big Data”. This conference provides two new venues to continue this work. WANT TO GIVE A “BIG DATA LIGHTNING TALK?
Have you done something really neat this year involving “Big Data”, but don’t have a finished paper to present? The Information Science and Information Systems Special Interest Group (iSIG) and the Health Special Interest Group have reserved a program session for Data Analysis Lightning Talks. We are looking for four to six demos, not more than 10 minutes, where you can show your ideas and meet others exploring the same space. The day has not been set, but it’s sometime during the first three days of the SD meeting.
If you have something great to share, please take this opportunity to provide a lightning talk. Send a message to Eliot Rich ([url]firstname.lastname@example.org[/url]) with a short description of your project by June 15 to reserve a slot.JOIN THE THURSDAY “BIG DATA” COLLABORATION WORKSHOP!
We are also sponsoring a half-day workshop on the ISDC’s Thursday conference day (July 23rd) where you can meet with other conference participants, share current applications in more detail, and help develop collective research agendas in open data, big data and data analytics to share perspectives, approaches and requirements.
There are so many interesting questions to consider:
• How have ‘top-down’ and ‘bottom-up’ approaches been used within the context of data analytics?
• What are the strengths and limitations of existing ‘top-down’ and ‘bottom-up’ approaches to data analytics?
• How can ‘top-down’ and ‘bottom-up’ approaches be combined when analyzing open datasets to make sense of complex systems?
• What key contributions both modeling approaches make to understand the complex systems from which large datasets emerge?
• What combination of modeling approaches is most effective for the analysis of open datasets when supporting decision makers in robust policy making?
• What role should decision-makers have in the combined modeling approaches to ensure they are empowered by the approach and its output and can make effective decisions?
The workshop will be open to all conference participants, but space is limited. We will start with some group work, then break out and share the development discussion. Pre-register for the workshop at http://doodle.com/5ys3cyu432reb2yu
Stefano Armenia, University of Rome "Sapienza"
Luis Luna-Reyes, University at Albany
Eliot Rich, University at Albany
Andrada Tomoaia-Cotisel, University of Utah