In Focus: Pulse Lab Jakarta’s Role Catalysing Public-Private Initiatives in Asia

June 26, 2023

In 2022, Cepei, together with LIRNEasia and other research centers from the Global South, created the SDG Acceleration Roadmap initiative that aimed to map public-private data collaborations and their contribution to achieving the Sustainable Development Goals (SDGs).

From Cepei, we hope that, through this research, public-private data partnerships will improve their potential to respond to the global context.

This Case Study insight into Pulse Lab Jakarta’s facilitating role in building public-private partnerships across Asia with initiatives to optimize the information needed in policymaking by bringing together stakeholders and working on data science methods and social research.

Principales hallazgos

More systemic approaches are needed to foster public-private data partnerships and ensure they are supported end-to-end.

Data ethics must be considered a central pillar of public-private data initiatives to minimize risks.

All data generated and used should be published as open data, and any technical platform created should be made open source.

Main Findings

More systemic approaches are needed to foster public-private data partnerships and ensure they are supported end-to-end.

Data ethics must be considered a central pillar of public-private data initiatives to minimize risks.

All data generated and used should be published as open data, and any technical platform created should be made open source.

About the author

LIRNEasia is a pro-poor, pro-market think tank. What this means is that we are in favor of decentralized innovation – including through competitive markets – to enhance the lives of the poor. Everything we do has to have benefits for the poor.

Acerca del autor

LIRNEasia is a pro-poor, pro-market think tank. What this means is that we are in favor of decentralized innovation – including through competitive markets – to enhance the lives of the poor. Everything we do has to have benefits for the poor.

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