The Department of Science and Technology (DOST) and the University of Mindanao (UM) have launched an application that can help local government units in monitoring beneficiaries of the Pantawid Pamilyang Pilipino Program or 4Ps.
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 monitoring 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 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 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. The program is intended to provide support local government units (LGUs) and national government agencies (NGA), through their regional offices, in planning, programming, policymaking, and delivery of goods and services through development of data science and analytics-related projects and applications.
