A local application for the Pantawid Pamilyang Pilipino Program (4Ps) has been launched by the Department of Science and Technology (DOST), together with the University of Mindanao to help local government units (LGUs) in monitoring beneficiaries.

Dubbed “Project e4PsMap", the project developed a data analytics-driven application that conducts maternal and neonatal outcomes monitoring, visualization, and dashboard system for the City of Digos to enable the local government to monitor the success and compliance rates of the program’s intervention to its beneficiaries.
Funded by the DOST – Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD), UM also trained community social workers in terms of data updating, warehousing, verification, and analysis.
DOST PCIEERD Executive Director Dr. Enrico C. Paringit congratulated the team of researchers who produced the application and expressed hope that it can translate to helping the beneficiaries of the 4Ps.
“The e4PsMap System speaks to the very essence of our commitment to good governance. It addresses a critical need for our Local Government Unit of Digos City, enabling us to understand, with precision, whether our social interventions are truly attaining their desired goals. Through this platform, we bridge the gap between data and decision-making, ensuring that no household, no individual is left behind in the quest for progress,” Paringit said.
The e4PsMap will provide regular analysis of trends, and accomplishment of targets, and inclusion of analysis in the reports of the city social welfare and development office to the Office of the City Mayor and the Sangguniang Panlungsod for their information and disposition.
The e4PsMap System was funded by DOST-PCIEERD under the Good Governance through Data Science and Decision Support System (GODDESS) program.
This program is intended to provide support to local government units (LGUs) and national government agencies (NGA), through their regional offices, in planning, programming, policymaking, and delivery of goods and services through the development of data science and analytics-related projects and applications.