Schedule: Policy & Privacy sessions

Data is power. Connected data is omnipotence. In a world where just a few nuggets of information can identify nearly everyone, and where databases never forget, Big Data is an ethical minefield. In this track, we’ll tackle the hard issues of privacy, compliance, governance, and policy that stem from a quantified society.

Ballroom E
Moderated by:
Alexander Howard (O'Reilly Media)
Jim Adler (Metanautix), Solon Barocas (New York University)
Average rating: ****.
(4.00, 2 ratings)
So much of the privacy discussion is about data access, fear of future dystopia, and the complexities of law. There is a vacuum around how societal norms should be mapped to rapidly growing capabilities of big data, leaving data professionals in a "don’t ask don't tell" privacy conundrum. This conversation will discuss specific use-cases and frameworks to guide data pros. Read more.
Ballroom E
Kaitlin Thaney (Mozilla Science Lab), Betsy Masiello (Google), John Wilbanks (Kauffman Foundation for Entrepreneurship)
Average rating: ***..
(3.00, 2 ratings)
Making sense of the privacy issues around personal data is way too complicated. Pretty Simple Data Privacy builds on the idea that users need three options - Yes, No, Maybe - to control privacy settings on their personal data. We'll explore existing projects and codebases that implement legal and technical tools for all three of the settings. Read more.
Ballroom E
Kaitlin Thaney (Mozilla Science Lab), Mark Hahnel (figshare), Ben Goldacre (Bad Science)
Average rating: ***..
(3.00, 1 rating)
In a research environment, under the current operating system, most data and figures collected or generated during your work is lost, intentionally tossed aside or classified as “junk”, or at worst trapped in silos or locked behind embargo periods. In the digital age, this does not need to be the case - and it's imperative we change that reality. Read more.
Ballroom E
Virginia Carlson (Urban Rubrics), Jake Porway (DataKind)
The “common good” challenge for Big Data is to deliver actionable information that can be used by nonprofits and civic orgs. But that challenge isn’t new. Existing data intermediaries for NGOs have a rich history of working in common-good territory. Let’s discuss. What is this history? What can we take away from it to inform new, perhaps disruptive, approaches to meet this challenge? Read more.


  • EMC
  • Microsoft
  • HPCC Systems™ from LexisNexis® Risk Solutions
  • MarkLogic
  • Shared Learning Collaborative
  • Cloudera
  • Digital Reasoning Systems
  • Pentaho
  • Rackspace Hosting
  • Teradata Aster
  • VMware
  • IBM
  • NetApp
  • Oracle
  • 1010data
  • 10gen
  • Acxiom
  • Amazon Web Services
  • Calpont
  • Cisco
  • Couchbase
  • Cray
  • Datameer
  • DataSift
  • DataStax
  • Esri
  • Facebook
  • Feedzai
  • Hadapt
  • Hortonworks
  • Impetus
  • Jaspersoft
  • Karmasphere
  • Lucid Imagination
  • MapR Technologies
  • Pervasive
  • Platform Computing
  • Revolution Analytics
  • Scaleout Software
  • Skytree, Inc.
  • Splunk
  • Tableau Software
  • Talend

For information on exhibition and sponsorship opportunities at the conference, contact Susan Stewart at

For information on trade opportunities with O'Reilly conferences contact Kathy Yu at mediapartners

For media-related inquiries, contact Maureen Jennings at

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