The use of data science has been growing in the Philippines. It involves developing methods of recording, storing and analyzing data to extract useful information for some functions, such as identification and prediction of disease, optimizing logistics routes, detection of frauds, healthcare recommendations, automating digital ads, and many others.
Eight new data science research and development projects that enable good governance will soon be implemented in the country to improve the operations of national government agencies and local government units (LGUs).
Funded under the Good Governance through Data Science and Decision Support System (Goddess) Program of the Department of Science and Technology-Philippine Council for Industry, Energy and Emerging Technology Research and Development (DOST-PCIEERD), the projects are geared toward addressing the gap in the country’s workforce for data scientists that enables and strengthens the government to adapt data-driven governance and evidence-based management, a DOST-PCIEERD news release said.
DOST-PCIEERD Executive Director Dr. Enrico Paringit said the Goddess program is aimed at utilizing data to create innovations in running government and serving the people.
“As a leader and partner in enabling innovations, we support solutions and approaches that move towards data-driven decision making and smart governance,” Paringit said.
The eight new data science projects are from the Father Saturnino Urios University (FSUU), Philippine Rice Research Institute (PhilRice), Isabela State University (ISU), Iloilo Science and Technology University (ISAT-U), Urdaneta City University (UCU), Lyceum-Northwestern University (L-NU), Don Mariano Marcos Memorial State University (DMMMSU) and the Pangasinan State University (PSU), the DOST-PCIEERD said.
Researchers from FSUU will be conducting the project “Development of Data Analytics and Information System: Support on Social Welfare Services for Senior Citizens of Butuan City.
It is an initiative to discover new knowledge using the Knowledge Discovery to Data Base model to develop information system and data analytics that will aid in the formulation of policies, projects and programs for effective delivery of services to senior citizens in the city.
The PhilRice Data Analytics Initiative of the Department of Agriculture intends to harness the power of data analytics to enhance baselining and forecasting of the status of the rice farmers and the rice industry.
The project will develop an online analytics dashboard that can be accessed by the public, especially the decision- and policy-making bodies at different government levels for decision and policy formulation.
ISU will be implementing the project Optimization of a Decision Support System for Effective E-governance on pre-emptive evacuation for flood disaster amid Covid-19 in the Cagayan Valley.
It aims to apply data-driven process in generating safe and alternative evacuation areas for flood disaster while keeping the Covid-19 quarantine facilities and individuals uncompromised to prevent spread of the virus.
The technology will combining the profiling features of Health Guard PH and zoning monitored by Office of Civil Defense Region 2.
ISAT-U is working toward the development of the Iloilo Province Employment Portal and Services using data analytics.
It will be a dynamic web-based application that has six components: Job Seekers Registry, Employers Registry module, Employment registry module, Training registry module, Academe registry module, and Students’ registry module.
UCU researchers will be doing the project “Development of an automated collection system for trading hubs or bagsakan market.”
They will create a cashless and contactless payment system with the use of mixed technologies, such as Radio Frequency Identification and QR Code payment system.
L-NU aims to develop a smart garbage collection and monitoring system for Dagupan City.
The system will generate necessary data where analytics can be applied to yield information essential for evidence-based decision making by the LGU to address its solid-waste management needs.
DMMMSU is working on a vision-based traffic monitoring system for San Fernando, La Union. It will have a prescriptive navigation software based on real-time traffic data and will also analyze existing policy for traffic control.
PSU will develop the Hundred Islands National Park Management System that has a real-time motorized banca geolocation as an implementation of smart tourism.
Paringit said DOST PCIEERD will be relentless in pursuing new projects on data science to aid governments in managing its data needs and craft data driven decisions.
“Through these projects, we will enable the development of appropriate capabilities, systems and technologies that can be adapted and used by national government agencies and local government units, specifically on urban mobility, energy management, e-governance and citizen services, waste management, and water management,” he explained.
Image credits: Screengrab by DOST-PCIEERD