Transcript Broder-Group1

Next Generation Information
Systems
• Current state of affairs
– Information explosion
– Web search becoming the new normal, but limited to
kw search
– Democratization of content creation (blogs, wikis,
bulletin boards)
– Web mediated communities
– Uncoordinated, “egoistic” development
– Very little understanding of privacy implications (on
both consumer and providers side)
– Rapidly changing social & legal landscape, many
open questions
Information, economics, privacy
• Joint theory of privacy, economics, and
computing
– Quantify loss of privacy, value received
• Theory of information that includes cost of
discovery
– Examples: phone book vs reverse number look up,
ssn on a house deed in the courthouse vs on the
web.
– Ease of information access should play a role in a
theory of privacy.
– Quantify cost of discovery
– Computational cost of privacy ?
Information quality
• Can this be quantified?
• Reliability of information
• Interplay between democratization and
authenticity
• Anybody can contribute information and
misinformation
• Create mechanism for social certification
of authenticity
Information finding
• Enhancing power of search
– Putting structure on information
– clustering
• Semantic search and content analysis
• Create economic incentives for producing metadata
• Human aided computing
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Yahoo questions
CMU image game ESP
CAPTCHAs
“Folksonomies”, del.icio.us
• Use to provide better data resources
How NSF can help?
• Need repository of real data to support research in all
three areas:
– Information privacy & economics
– Information quality
– Information finding
• Two ways to help:
– Research in
• Anonymization
• Privacy presrbing sxampling
– Create repository under NSF aegis that would encourage
companies to supply data
• Safe harbor provisions
• Tax incentives