As a senior researcher at Singapore-ETH Centre (SEC), Manuel summarized his research in two books on data in Southeast Asia.

Open Data in Southeast Asia: Towards Economic Union, Urban Resilience, and Participatory Policymaking in the ASEAN

London: Palgrave Macmillan, 2016
ISBN 978-3-319-32170-7
http://www.springer.com/gp/book/9783319321691

This book explores the power of greater openness, accountability, and transparency in digital information and government data for the nations of Southeast Asia. The author demonstrates that, although the term “open data” seems to be self-explanatory, it involves an evolving ecosystem of complex domains. Through empirical case studies, this book explains how governments in the Association of Southeast Asian Nations (ASEAN) may harvest the benefits of open data to maximize their productivity, efficiency and innovation. The book also investigates how increasing digital divides in the population, boundaries to civil society, and shortfalls in civil and political rights threaten to arrest open data in early development, which may hamper post-2015 development agendas in the region. With robust open data policies and clear roadmaps, member states of the ASEAN can harvest the promising opportunities of open data in their particular developmental, institutional and legal settings. Governments, policy makers, entrepreneurs and academics gain a clearer understanding of the factors that enable open data from this timely research.

Data Quality in Southeast Asia: Analysis of Official Statistics and Their Institutional Framework as a Basis for Capacity Building and Policy Making in the ASEAN

London: Palgrave Macmillan, 2016
ISBN 978-1-349-93351-8
http://www.palgrave.com/gp/book/9781349933518

This book explores the reliability of official statistical data in the Association of Southeast Asian Nations (ASEAN), and the benefits of a better vocabulary to discuss the quality of publicly available data to address the needs of all users. It introduces a rigorous method to disaggregate and rate data quality into principal factors containing a total of ten dimensions, which serves as the basis for a discussion on the opportunities and challenges for data quality, capacity building programs and data policy in Southeast Asia. Tools to standardize and monitor statistical capacity and data quality are presented, as well as methods and data sources to analyse data quality. The book analyses data quality in Indonesia, Malaysia, Singapore, the Philippines, Thailand, Vietnam, Brunei, Laos, Cambodia, and Myanmar, before concluding with thoughts on Open Data and the ASEAN Economic Community (AEC).