public policy Archives — LIRNEasia


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 In countries like Sri Lanka, this means we’re often relying on outdated information, hindering our ability to respond to sudden economic shocks or disasters.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.