Prof Hal Abelson of MIT recently shared his thoughts on privacy in the digital realm, at a online alumni webcast. Amongst the noise that one hears on this topic these days, his thoughtful comments resonated. Partly for sharing and partly for my own memory, I felt it justified a blog post and I capture his main points below: People don’t really know what they want when they think of privacy. They describe their privacy needs through use-case scenarios for e.g.
I recently participated in a panel on “Big data in the telecommunications industry” at the 11th World Telecommunication/ICT Indicators Symposium (WTIS) held in Mexico from 4-6 December 2013. Going by the feedback from the Q&A session, two aspects rose to the front: Firstly the issue of “privacy” is on everybody’s mind going by the number of questions that came from the audience. Everybody seems to have his or her own viewpoint. UN Global Pulse, whilst acknowledging there are valid concerns that must be addressed (and they have a set of privacy guidelines for their own work) clearly doesn’t want the concerns to derail the efforts to utilize telecom network big data for social good. Telefonica, as an operator, was quick to point his or her own set of privacy guidelines that inform their big data work.
Today, our CEO Helani Galpaya was on a panel “Harnessing the power of convergence and big data for enterprise success” at a Sri Lankan summit called “Enterprise 2.0: building future ready enterprises” (full video of the panel session is available HERE). I thought some of the ideas she proposed about were worthy of further discussion. LIRNEasia is curently working on utilizing telecom network Transaction Generated Information (TGI) to conduct public interest research using big data. One of her comments was about how companies are not fully appreciating the value of the data that they have.
The New York Times carried a story on “big data for development” that featured Global Pulse, the UN initiative seeking to harness the potential of data to address development questions, much like what we are doing in our current research. The efforts by Global Pulse and a growing collection of scientists at universities, companies and nonprofit groups have been given the label “Big Data for development.” It is a field of great opportunity and challenge. The goal, the scientists involved agree, is to bring real-time monitoring and prediction to development and aid programs. Projects and policies, they say, can move faster, adapt to changing circumstances and be more effective, helping to lift more communities out of poverty and even save lives.