LIRNEasia Data, Algorithms, and Policy (DAP) Team Lead and Research Manager Merl Chandana was featured in ‘The Morning’ newspaper on 28 December 2025, in an article by Nelie Munasinghe, where he underscored the urgency of moving from AI policy discussions to real-world implementation. “The perception that Sri Lanka has not yet widely adopted AI is inaccurate. While it may not be as visible as in other countries through large AI-focused companies, AI is already being integrated across sectors like health, retail, transport, finance, and e-commerce. The potential benefits and risks of this technology are already present. Viewing AI-related risks as a distant concern does not reflect our current reality. 
LIRNEasia Data, Algorithms, and Policy (DAP) Team Lead and Research Manager Merl Chandana was featured in ‘The Morning’ newspaper on 28 December 2025, in an article by Nelie Munasinghe, where he underscored the urgency of moving from AI policy discussions to real-world implementation. “The perception that Sri Lanka has not yet widely adopted AI is inaccurate. While it may not be as visible as in other countries through large AI-focused companies, AI is already being integrated across sectors like health, retail, transport, finance, and e-commerce. The potential benefits and risks of this technology are already present. Viewing AI-related risks as a distant concern does not reflect our current reality. 
“Untangling Data Governance – Sri Lanka’s Way Forward” was held on 13 November 2024 in Colombo, Sri Lanka. The event formed part of the Harnessing Data for Democratic Development in South and Southeast Asia (D4D Asia) project, with funding support from the International Development Research Centre (IDRC), a Crown corporation of the Government of Canada. 
The Forum on Data Governance in the Philippines was held on Friday, September 12, 2025, at Serenade II, Westin Manila. The event highlighted how data can drive development and serve as an effective policy-making instrument for advancing democratic and inclusive governance in the Philippines. The forum was organized by LIRNEasia in collaboration with Disini Law (Philippines) and Digital Freedom Network (Philippines), with funding support from the International Development Research Centre (a Crown corporation of the Government of Canada). It brought together experts from government agencies, academia, and the private sector to share perspectives and experiences on data policymaking and governance frameworks. Discussions centered on two recent publications under the Data for Democratic Development in South and Southeast Asia initiative: the Philippines Country Report and the Regional Synthesis Report. 
The journal club held on the 17th of April 2025 focused on the report ‘Leveraging Digital Public Infrastructure for Building Inclusive Social Protection Systems’ by Priya Vedavalli, Nikita Kwatra, Sharmadha Srinivasan, and Vikram Sinha of Artha Global published in April 2024. Background Portability of social protection, defined as the ease at which beneficiaries can retain access to social protection when they move across geographic lines, is a significant issue in India. This concerns over 400 million Indians (almost a third of the population) who are internal migrants, for whom accessing government services becomes a challenge due to a changing place of residence. The report explores how Digital Public Infrastructure (DPI), which the authors define as “digital systems that provide identity, enable payments, facilitate the delivery of population-scale services by public and private actors, and other functions that are essential for the public good”, can be used to make social protection more portable, specifically in the context of India. Overview of the Report The authors focus on three federally governed Indian social protection schemes: Public Distribution Scheme (PDS) – India’s largest social protection scheme, which provides subsidized grains through fair price shops. 
The Forum on Data Governance in Thailand, held on Tuesday, August 5, 2025, at the Sigma Room (6th floor), Pullman King Power Bangkok, brought together experts from government agencies, academia, and private organizations to exchange their knowledge, perspectives, and experiences on data policymaking and the design of data governance systems in Thailand. The forum was hosted by LIRNEasia (an independent think tank working across the Asia Pacific), in collaboration with the Department of International Studies at Hankuk University of Foreign Studies (Republic of Korea), Privacy Thailand, and the Institute of Public Policy Studies (IPPS), Thailand. Funding support was provided by the International Development Research Centre (a Crown Corporation of the Government of Canada). The Forum explored the inherent tensions that arise in governing data in light of competing interests and policy objectives – that of collecting, storing, using and sharing data to support development and growth objectives, and of protecting privacy and other human rights that are vital but can be violated through the release of data. LIRNEasia and affiliated researchers explored such tensions as well as the practical ways these tensions are resolved across seven countries – Thailand, India, Indonesia, Sri Lanka, Nepal, Pakistan and the Philippines. 
Pinpointing where poverty is most severe and tracking its changes over time is crucial for helping communities effectively. However, traditional benchmarks like household surveys and national censuses often fall short—they’re expensive, slow, and infrequent. In countries like Sri Lanka, this means we’re often relying on outdated information, hindering our ability to respond to sudden economic shocks or disasters. On top of that, poverty cannot be determined by income data alone, rather its multidimensional, where factors such as infrastructure, access to services, and economic activity also play a role in determining a community’s well-being. To capture these complexities, our DAP team (Data, Algorithms, and Policy) explored something different: how to rethink the way we measure poverty in Sri Lanka using AI with non-traditional data sources? 
The first session of the journal club for 2025 focused on the working paper ‘Digital Public Infrastructure: A Framework for Conceptualization and Measurement’ by David Eaves and Krisstina Rao, published by the UCL Institute for Innovation and Public Purpose (IIPP) on 27 January 2025. The paper aimed to conceptualize and measure digital public infrastructure (DPI), addressing its growing global policy relevance. Using a grounded theory approach, the study integrates insights from literature and expert interviews to offer two key contributions. A normative framework to trace the attributes of the concept, discussing its qualities in terms of technology, public-interest values, and the adoption context. A measurement framework to evaluate the presence of these attributes in real-world DPI implementations. 
In an insightful 50-minute discussion, Principal Presidential Advisor on Digital Economy Dr. Hans Wijayasuriya sat down with LIRNEasia Chair Prof. Rohan Samarajiva to share his insights on the key priorities and challenges in shaping the nation’s digital transformation. From bridging the country’s digital skills gap and fostering a thriving innovation ecosystem to implementing effective policy reforms, the conversation explores the steps needed to propel Sri Lanka into a competitive position on the global digital stage. Both experts bring a wealth of experience in technology, telecom, and policy, offering a thought-provoking dialogue on what it takes to drive meaningful change. 
On 2nd October 2023, Research Manager and Team Lead (Data, Algorithms, and Policy) Merl Chandana, alongside Junior Researcher Chanuka Algama, held a session titled ‘Applied data science research for social good’ at the University of Kelaniya’s Department of Statistics and Computer Science. The session delved into LIRNEasia’s journey of forming a data science team and using large datasets to yield critical insights for public policy. They contrasted LIRNEasia’s applied data science approach with traditional academic research and private sector practices. Additionally, they highlighted the emerging ‘AI for Social Good’ movement and its potential as a career avenue. The slides used can be accessed below.