UNESCAP in partnership with the International Think Tank for Landlocked Developing Countries (ITT-LLDC) held an Expert Workshop on ICT for Promoting Inclusive and Disaster Resilient Development, from 14-15 May 2015 in Ulaanbaatar, Mongolia. I represented LIRNEasia and shared our recently completed research enhancing the role of ICTs for Disaster Risk Management(DRM), that was led by Shazna Zuhyle. I made two presentations. The first looked at emerging trends in DRM including the use of mobile network big data for disaster risk mitigation and planning. The second looked at the role of ICTs for DRM in SriLanka.
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 |
The news reports suggest that TRAI has already received nearly 1 million submissions to its recent “Consultation Paper on Regulatory Framework for Over-the-top (OTT) services” that has sparked a heated debate on net neutrality. In addition to drafting a response ourselves, we also turned our attention to the problem of analyzing such a large volume of responses. Significant amount of time and effort would be required to read and interpret, as well to even formulate a basic general outline of what the public and other stakeholders are trying to say. To put it mildly, TRAI is going to have its work cut out if they are to give each response due justice. Current and former researchers from our big data team, Kaushalya Madhawa, Danaja Maldeniya, and Nisansa de Silva brainstormed a technology augmented approach to the problem of analyzing the responses.
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.
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.
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.
The recent Ebola crises in West Africa, has brought attention to the potential of leveraging mobile network big data in combating the spread of infectious diseases. Whilst it is Ebola that has everyone’s attention right now, the application of such methods is equally relevant to malaria and dengue, both diseases that have and continue to affect many in developing economies. The BBC, Economist, as well as others, have already chimed in, making the case for wider access to mobile network data for such efforts as well as for facilitating general post-disaster recovery efforts. The Economist article goes further and suggests that due to the attendant privacy challenges, regulatory and legal instruments must be brought to bear, to compel sharing of such data with selected researchers (where the state decides who these experts are) in cases of emergencies. Whether you prescribe to such knee-jerk reactions or not, it’s first important to understand what mobile network data can do to help stem the spread of infectious diseases.
Two weeks back I was invited to give a guest lecture by the Department of Management Studies at IIT Delhi. The topic of my lecture was based on our ongoing work in using mobile network big data for development in Sri Lanka. Attended by 60+ graduate students and faculty from various departments (Management, Economics and Computer Science), the lecture garnered a large amount of interest from people trying to understand how big data can be used in various domains (both public and private). Whilst the focus of my talk was very much on development, there are still many implications and cross-over learnings for businesses and this came out more in the discussion following the lecture. The issue for many though (and which will remain for sometime) is getting access to big data rather than the tools.
On 8th August 2014, LIRNEasia held an event titled “Big data for development: Responsible use of mobile meta-data to support public purposes” in Negombo, Sri Lanka that was attended by all the MNOs in Sri Lanka as well as MNOs/ industry representatives from Pakistan, Bangladesh and India. The purpose of the event was two-fold: Show how mobile network big data could provide timely and policy relevant evidence for development using illustrations from Sri Lanka and elsewhere; and Discuss the draft guidelines developed by LIRNEasia for how MNOs could share their data with third parties using it for public good, whilst also minimizing the harms from such big data analytics. This event was the first in a series of steps that will hopefully lead towards the adoption of voluntary guidelines by MNOs to facilitate such activity. The presentations from the event as well as the draft guidelines are below. The agenda is available HERE.
As part of electricity work LIRNEasia has made recommendations on the importance of DSM in Sri Lanka. Effective DSM is not possible without smart meters and that was an important part of the message, when we were invited by the Colombo Electricity Board (CEB) to share our research with their senior management. So it was with great interest that I perused the research of one of the winning finalists from a Big Data Challenge conducted by Telecom Italia (and partners) with data pertaining to the territories of Milan and of the Autonomous Province of Trento in Italy. The datasets covered telecommunications, energy, weather, public and private transport, social networks and events. The researchers utilized smart meter data and behavioral data extracted from the Telecom Italia’s transaction generated data to predict peak daily energy consumption and also the average daily energy consumption for each line through the electrical grid of the Trentino Province.
The work that we have been doing using mobile network big data over the last year, has been challenging on many fronts. I’ve spent some time reflecting on some of the analytical challenges that are faced in the Big Data paradigm and the common fallacies that I sometimes find in the broader discussion I see on the subject. What is below are some of my preliminary thoughts, which I am working up into a paper. Still a work in progress. Comments welcome.
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.
Earlier this year (April 2013) we pushed for Demand Side Management (DSM) in Sri Lanka to managing the burgeoning electricity demand in the country. Hence we were quite happy when the Public Utilities Commission of Sri Lankan (PUCSL) recently released draft regulations for the institutional framework conducting DSM activities in the electricity sector. Today, at a consultative workshop on the draft regulations, we recommended the following: Coordinate the market research design that each of the 5 distribution licensees have to conduct prior to initiating DSM activities. Make use of behavioral economics and Randomized Control Trials (RCTs) for high impact since it is the most effective way to understand consumer behavior and “nudge” them to more energy-efficient and energy-conserving behavior. The impact could be even higher if Sri Lanka were to quickly scale up the use of smart meters.
(photo courtesy of Business Times) I was recently invited to be on SLASSCOM panel on “Impact of policies concerning the Internet on innovation and economic growth.” There were multiple topics discussed under the broader theme: content regulation, ITU/WCIT, Intermediary Liability Protection, Intellectual Property, and Open Data. Whilst time was too short to fully address each of these issues, hopefully this event encourages further discussion about these issues in Sri Lanka. Whilst the press seemed to have taken some interest on my comments on ITU/ WCIT issues, one of the things that I highlighted was that Open Data initiatives could be started by the relatively non-controversial opening up of all the agricultural data that in contained in government agencies, ministries and institutes. The recently launched open data portal in India has about 3.