9:45am–9:55am Wednesday, 07/21/2010
We worried about making sure we had free and open source software to use, we worried about privacy, we worried about user rights. And then we handed the keys to our data to "free" web services. How can we ensure that our data is in the hands of web services that will respect our rights? How can free and open source software ideals be applied to web services?
9:30am–9:45am Thursday, 07/22/2010
The cloud is all about more connectivity – and interoperability is at the heart of that. Organizations around the world are looking at opportunities to leverage a new wave of cloud technologies. New data sets. New computing power.
11:30am–12:10pm Thursday, 07/22/2010
What do open data and open source software have in common? User
rights, licensing, transparency, community, world-changing... open
data shares a lot with the open source movement, but it has new
challenges too. Come learn how open data and open source work
together, and how the open data community is learning from open
source's history and experience.
2:30pm–3:10pm Thursday, 07/22/2010
The recent US SEC proposal addressing the lack of transparency of asset-backed securities by adding disclosure requirements to include Python financial models reflects a need for Open Tools to work with Open Data to ensure transparency in Government. This session discusses why Python is a good fit for the SEC's proposal & the Open Source challenges ahead for the financial ecosystem.
7:00pm–8:00pm Wednesday, 07/21/2010
Moderated by: Russell Nelson
We all know what is open source -- it complies with the OSI Open Source Definition. But what is Open Data? Let's bang out a definition of Open Data.