Data, Algorithms and Policy — Page 13 of 15 — LIRNEasia


Just a few days ago, the big data team posted some thoughts on how TRAI could analyze the one million plus comments it received in response to its consultation paper on OTT services. The Business Standard has extensively quoted from that collectively authored suggestions on how technology could help productively mobilize the flood of citizen ideas enabled by technology. Last year, the corporate affairs ministry had commissioned a platform to receive responses on the hundreds of sections and sub-sections of the Companies Act. The platform, built by Corporate Professionals, allowed section-wise responses; it classified responses under different heads such as drafting errors and conceptual issues. Further, separate log-in ids were provided for different sections of stakeholders.
LIRNEasia’s Team Leader for Big Data Research, Sriganesh Lokanathan, and our former Researcher Manager, Roshanthi Gunaratne recently published a paper in the March 2015 special issue on big data of the journal Communications & Strategies. Whilst the journal article titled “Mobile Network Big Data for Development:  Demystifying the Uses and Challenges” is not available for free an earlier version of the paper is available HERE.  
LIRNEasia’s ongoing big data research was recently presented at the prestigious NetMob conference held at MIT from April 8-10, 2015, attended by some of the foremost academics and researchers from the world working with mobile network big data. LIRNEasia research fellows Gabriel Kreindler and Yuhei Miyauchi made a presentation on their ongoing work on quantifying urban economic activity using mobile phone data. | Presentation Slides | Abstract | Our other ongoing work on understanding land use characteristics in Colombo city (being lead by our researcher Kaushalya Madhawa) was selected for a poster presentation.  | Abstract |  
Was surprised the Rio operations center from 2010 is still Exhibit 1. Has nothing much happened since? I can’t find any reports in the past tense about Bangalore water supply other than the para below. Guess it is still work in progress. A different view of resiliency considers the creation of “smart” infrastructure that is instrumented, interconnected and intelligent, and provides the owners with adaptive capacity, the foundation for resilience.
I’ve been putting a significant amount of my time in the past three months into Constitutional reforms because an unusual “policy window” or Constitutional Moment opened up as a result of the outcome of the Sri Lankan Presidential election of January 8th. The Common Candidate of the opposition included in his manifesto a series of good governance measures that had been promoted by civil society activists for a long time but with little take up. When he won, these proposals, including rebalancing the relationship between the President and Parliament, electoral reform and the Right to Information, were suddenly the highest priority items of the new government’s agenda. The catch was that everything had to be done within 100 days, because the newly elected President did not have ironclad support from the largest party in Parliament and his manifesto also included a commitment to call a General Election after 100 days, which is around now. Considering it a citizenship duty, several of us got involved in what we considered the hardest problem, changing the electoral system.
With two MIT alumni on staff, LIRNEasia keeps an ear out for the good things happening at this premier engineering school. They have just announced the creation of a new Institute for Data, Systems and Society, intended to bring together researchers working in the mathematical, behavioral, and empirical sciences to capitalize on their shared interest in tackling complex societal problems. Our colleagues at Yuan Ze University in Taiwan have already established a big data center. We’ve tried to get this process started in Sri Lanka and Bangladesh too. Hopefully, the MIT move will energize these conversations which are proceeding with due deliberation.
The research was done in Sri Lanka, but it was first reported on in India, then in Bangladesh and now the Sri Lankan English-language Sunday newspaper with the largest circulation has chosen to reprint what Nalaka Gunawardene wrote for SciDev. Now we need to work on Pakistan and Nepal. City planners need to know where people live and congregate, when and how they move, their economic conditions, where they spend their money, and about their social networks. Currently the best big data source for these variables involves mobile phones – ubiquitous device used by the rich and poor alike. Mobile network big data (MNBD) is produced by all phones, smart and otherwise, and include call detail records (CDRs) generated when calls and texts are sent or received, web is accessed, and prepaid values are loaded.
Sri Lanka has pretty good indicators, compared to many countries we work in. So if the UN is thinking of conventional indicators there’s not much to do. But if the intention is to bring in big data . . .
Lokanathan, S & Gunaratne, R. L.
Last week in Bangkok (23-26th March, 2015), at the invitation of the UN Development Group (UNDG) Asia-Pacific Secretariat, I had the opportunity to brief country heads and senior staff of UN agencies as well as from the Resident Coordinator’s office on how to leverage big data, for the data revolution needed to measure the progress in achieving the forthcoming Sustainable Development Goals (SDGs). The event was the Lessons Learnt Workshop for Countries Designing UN Strategic Development Frameworks (UNDAF) in 2015. 13 countries were represented: Bangladesh, Bhutan, Cambodia, DPRK, Indonesia, Iran, Lao PDR, Malaysia, Mongolia, Philippines, Papua New Guinea, Thailand, and Vietnam. The key point that I left with them was that National Statistical Organizations (NSOs) in developing economies are not yet set up to be the key champion for leveraging big data for development, let alone to certify standards. The UN’s role in my opinion was: to inform and catalyze the in-country discussions with examples from other countries.
Kreindler, G. & Miyauchi, Y.
Today I had the opportunity to speak to a mostly private sector audience in Tokyo, looking to leverage opportunities from geo-spatial information. The venue was at the G-Space x ICT International Symposium organized by Japan’s Ministry of Internal Affairs and Communications, the apex body responsible for ICT policy in Japan. I was invited to speak about LIRNEasia’s experience in leveraging mobile network big data for public purposes. In the subsequent panel discussion, I was asked how to enable international collaboration in such efforts. My answer was two part: the very realizable possibility of sharing technical know-how both in developing human capacity as well as the infrastructure required to analyze such data sets; and the potentially long path that must be walked to enable greater sharing of such data.
Colombo, the focus of our exploratory work on mobile network big data, is a tiny town by global standards: 550,000 people. But our analyses show that the surrounding area is tightly integrated contributing over 54 percent of the daytime population of the city, but contributing little or nothing to the services the commuters must be provided. A former Mayor once told me that he had thought of using the dormant power of the legislation that established the Colombo Municipal Council to establish tolls at the gates of the city. Appears this is not a problem limited to Colombo. Current debates about the efficiency of urban governance gravitate around the ‘fit’ between the size of the administrative boundary controlled by a city mayor or governor, and the actual number of people who live in the ‘wider functional metropolitan’ area.
Verizon is in the the news and under the gun for its use of supercookies to track mobile users. The company uses the tracking technology — alphanumerical customer codes known as supercookies — to segment its subscribers into clusters and tailor advertising pitches to them. Although Verizon allows subscribers some choices regarding the use of their information for marketing purposes, the company does not permit them to opt out of being tagged with the persistent tracking technology. Our discussion: Within the first cluster proposed by Solove, the most relevant problem is surveillance. In the context of big data, it is useful to distinguish between active and passive surveillance.
The Royal Statistics Society and the Overseas Development Institute had organized a well-attended public discussion on big data and the future of conventional government statistics. I was pleased that there was nothing very news said, from our perspective, because that shows that we are not lagging behind in this space. I found the comments by John Pullinger, the National Statistician of the United Kingdom, of significant interest given we are making a presentation to the senior officers of the Sri Lanka Department of Census and Statistics this coming Friday. One of his comments was that good professionals had to keep up with new techniques. If a doctor were to treat people with methods from the 1950s, they would be driven out of the profession.
On 16th January, 2015 at the invitation of the Sri Lanka Institution of Engineers LIRNEasia presented a public lecture in Colombo on the results of our ongoing big data for development research. The public lecture was organized by The Institution of Engineers Sri Lanka (IESL) and attracted over 40 people in person and an unknown number via streaming at the Wimalasurendra Auditorium in the IESL head office. LIRNEasia’s Founding Chair Rohan Samarajiva and Researcher, Danaja Maldeniya presented some of the initial findings of relevance to urban and transportation planning. They were joined in the Q&A by Sriganesh Lokanathan. The presentation slides are available HERE.