Mobile Network Big Data


Data Driven Policy (Presentation)

Posted on February 1, 2019  /  0 Comments

Presented by Prof. Rohan Samarajiva at University of Moratuwa on 1st February 2019
Dharmawardana, K. G. S., Lokuge, J. N.
LIRNEasia research fellow, Dharshana Kasthurirathna, Ph.D. presented a paper, ‘Detecting Geographically Distributed Communities using Community Networks,’ at the International Workshop on Mining for Actionable Insights in Social Networks that was held in conjunction with the Tenth ACM International Web Search and Data Mining Conference in Cambridge in February 2017. The paper was co-authored by three LIRNEasia research fellows (Dharshana Kasthurirathna, Madhushi Bandara, Danaja Maldeniya) and Mahendra Piraveenan from the University of Sydney. Based on the presentation, there was an invitation to extend the paper to be submitted to a special issue of the Elsevier Information System’s journal, with a draft journal paper due in April 2017.
The UN Data Innovation Lab invited LIRNEasia to share our experience in entering data partnerships and the challenges associated with the same, at a workshop held in Cape Town on the 19-20 January 2017. The workshop, co-hosted by UN Global Pulse, centred on designing data capacity within the UN system. The session conducted by LIRNEasia was attended by representatives from a range of UN agencies including UNICEF, UN WTO, UN Women and UNAIDS. In addition, other participants at the session included representatives from Flowminder and Facebook. I had the opportunity to share LIRNEasia’s experience in building relationships with the government and private sector data providers, particularly in terms of leveraging mobile data for urban planning and traffic management in Sri Lanka.
LIRNEasia is currently hosting  Dr Ayumi Arai from the University of Tokyo’s Center for Spatial Information Science. She is also a Research Fellow with LIRNEasia collaborating on our big data for development research in Sri Lanka. We took the opportunity to organize a lecture for her yesterday (14th July 2016) for the senior staff of the Department of Census and Statistics (DCS) Sri Lanka, as preamble to a longer discussion with the department to collaborate with LIRNEasia and our partners on big data and official statistics in Sri Lanka. Dr Arai’s talk was on her ongoing Dynamic Census research work in Bangladesh which utilizes mobile network big data and official statistics to provide spatio-temporal insights on the socio-economic and demographic characteristics of the population at high granularity and high frequency. The slides from her talk are available HERE.
LIRNEasia has been at the forefront of big data analysis for development in Sri Lanka, conducting in-house analysis to generate actionable insights across a range of policy domains. On 6th May 2016, LIRNEasia and the Health Informatics Society of Sri Lanka jointly convened a planning meeting on building better models for forecasting the propagation of infectious disease such as dengue in Sri Lanka. The meeting was intended to lay the foundation for a multi-disciplinary collaboration engaging health informatics specialists, epidemiologists, and data scientists to identify research priorities and opportunities. The participants included the following: Madhushi Bandara, Junior Researcher, LIRNEasia Prof Vajira Dissanayake (Health Informatics Society of Sri Lanka, Biomedical Informatics Programme – Postgraduate Institute of Medicine) Dr. M.
Yesterday Sriganesh and I had the pleasure of presenting LIRNEasia’s big data work at the 3rd session of the Colombo Big Data Meetup, a prominent local meetup group focusing on big data and data science, domains still very much in their infancy in Sri Lanka. We spoke to a diverse audience of nearly 150 IT professionals, academics, statisticians and enthusiasts. The presentation was followed by a panel discussion which included Sriganesh, Dr. Shehan Perera of the Computer Science Department of University of Moratuwa, and myself. The discussion touched on a range of topics including practical aspects of running a successful big data operation,  learning data science, democratization of data and collective privacy.
For many, daily travel is a product of routines that have been established over time. From commuting, getting the kids to school and back home to the occasional shopping trip much of our movements follow a predictable pattern. Attempts to map human movement in different regions across the world using emerging sources of big data such as mobile network call detail records (CDR) show that in general aggregate human movements change very little from one week day to another or from one weekend to another. Our work on human mobility using a large CDR dataset have shown that Sri Lanka is no different. However during some days of the year such as during festivals, holidays and natural disasters routine travel behavior gives way to unique travel behavior.
Over the last few days I had the opportunity to present our thoughts on leveraging big data for development at two different venues in Ottawa, Canada. The first was at the headquarters of Global Affairs Canada on 11th March 2016, where I along with the head of UN Global Pulse spoke to an audience of about 100 people that included staff from Global Affairs and IDRC, as well as Canadian academics and researchers. The slides I used are available HERE. The second opportunity was today (14th March 2016) at the headquarters of IDRC, where I had the opportunity to share some of work with IDRC staff from different developmental domains. The slides that I used are available HERE.
The Urban Development Authority of Sri Lanka and the Young Planners Association of Sri Lanka organized a workshop at the UDA premises on 4th December 2015 for LIRNEasia to share is ongoing research on leveraging mobile network big data for urban and transportation planning. The slides are available HERE.
Madhawa, K., Lokanathan, S., Samarajiva, R., & Maldeniya, D.
Madhawa, K., Lokanathan, S., Maldeniya, D., & Samarajiva, R.
LIRNEasia’s ongoing big data research was recently presented at the 13th International Conference on Social Implications of Computers in Developing Countries held in Negombo from May 20-22. LIRNEasia researcher Danaja Maldeniya presented preliminary work on transport forecasting using  mobile network big data under the conference track ICT4D Sri Lanka : Challenges, Opportunities and Solutions. |paper|presentation slides|
Maldeniya, D., Lokanathan, S., & Kumarage, A.
Companies are increasingly relying on business analytics to extract value from the large volumes of computer-readable and analyzable (or “datafied”) data in their possession. Big data for development (BD4D) seeks to apply these techniques to big data held by both government and private entities to answer development-related questions. Given low levels of “datafication” of transactions and records in developing countries, analysis of credit-card use or even social-media use is unlikely to yield coverage approaching n=all as in developed countries. Mobile transaction-generated data (including Call Detail Records or CDRs) are an exception. Because they can yield information on movement of people, they have great potential to inform a host of policy domains: urban and transportation planning, health policy by enabling the modeling of the spread of infectious diseases, socio-economic monitoring, etc.
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.