Thavisha Gomez, Author at LIRNEasia — Page 2 of 2


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 in partnership with the Centre for Internet and Society (CIS) convened a two-day workshop to discuss a ‘research and policy agenda on big data for sustainable development in the Global South.’ The workshop held in Madrid on the 8th and 9th of October 2016, was a side event of the International Open Data Conference 2016.  The objective of the workshop was to brainstorm ways of establishing Southern-led network to tackle some of the emerging opportunities and challenges in the use of big data in developing countries. The workshop explored a variety of issues around leveraging big data to tackle sustainable development. These include issues around representativity and marginalization, researching harms (competition, privacy, surveillance), researching solutions (legislation, regulation, ethics), and addressing challenges in relation to developing research capacity, accessing data and influencing policy.