All Projects to Date

PreMESS or Predicting Meat Supply System

PreMeSS (Predicting Meat Supply System) is a research and decision-support system project focused on forecasting and improving meat supply chain management in Davao City, Philippines. It uses geospatial analytics and predictive analytics to support the National Meat Inspection Services Regional Technical Operations Center XI (NMIS RTOC XI).

Trial Planting

This research project investigates the use of mycorrhizal inoculation to enhance the survival, growth, and remediation potential of selected forest tree species planted in metal-contaminated soils within the Tampakan Copper-Gold Project area in South Cotabato. Implemented as a five-year field experiment, the study aims to generate science-based evidence to support ecologically sound mine rehabilitation and post-mining landscape restoration strategies in the Philippines. The project is a collaborative initiative involving the University of Mindanao, Sagittarius Mines, Inc. (SMI), and the Mines and Geosciences Bureau (MGB) Region XII, building on earlier phases that identified metallophyte species and characterized heavy-metal concentrations in the project site.

e4PsMap: A data analytics-driven Pantawid Pamilyang Pilipino Program (4Ps) maternal and neonatal outcomes monitoring, visualization, and dashboard system for the City of Digos

Project e4PsMap is a data analytics-driven application developed through a collaboration between the Department of Science and Technology (DOST) and the University of Mindanao (UM) to enhance monitoring and evaluation of the Pantawid Pamilyang Pilipino Program (4Ps) at the local level. Funded by the DOST-Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD) under its Good Governance through Data Science and Decision Support System (GODDESS) initiative, the project delivers an interactive dashboard and visualization system that enables the City of Digos and other local government units to track maternal and neonatal outcomes, compliance rates, and overall effectiveness of 4Ps interventions. By providing geospatial and trend analysis, the e4PsMap supports evidence-based decision making, planning, and reporting by social welfare offices and policymakers, and includes capacity-building components for community social workers in data updating, warehousing, verification, and analysis.