Program on Data Science For Public Policy (DSPPP)

Source/Credit: Joyce Marie Lagac

Senior Project Assistant Julius Paolo Basa and Junior Research Analyst Joyce Marie Lagac attends Day 1 of the Data Scrapping Training of DSPP Research Fellow Dr. Vladimer Kobayashi for their research activity on Analysis of Education-to-Labor-Market and Job-to-Job Transitions.
Source/Credit: Joyce Marie Lagac

Day 2 of the Data Scrapping Training of DSPP Research Fellow Dr. Vladimer Kobayashi for their research activity on Analysis of Education-to-Labor-Market and Job-to-Job Transitions
Source/Credit: Joyce Marie Lagac

DSPP Research Fellow Dr. Vladimer Kobayashi teaches participants text analysis using the program R
Source/Credit: Joyce Marie Lagac

DSPP Research Fellow Dr. Vladimer Kobayashi teaches participants text analysis using the program R
Source/Credit: Joyce Marie Lagac

DSPP Research Fellow Dr. Vladimer Kobayashi teaches participants text analysis using the program R.
Source/Credit: Joyce Marie Lagac

DSPP Convenor Dr. Jalton Taguibao presides over the consultation meeting with UP Diliman’s CMC and Dr. George Solano of UP Manila.
Source/Credit: Joyce Marie Lagac

The group met to discuss the Digital Public Pulse project, a media-monitoring project that traces, maps, and analyzes public discourses in the Philippine digital public sphere.

Rationale

Data science can help understand some of the country’s most vexing problems in the public sector, especially when information is available. Nearly all aspects of governance operate using complex systems made up of networks of interrelated, interdependent, and multicontextual factors. The most innovative tools of data science and analytics have opened up new possibilities for empirical examination of social problems best studied within the complex systems framework.

As such, the Program on Data Science for Public Policy was established as a a series of research projects and interconstituent unit (CU) research engagement activities for various agendas of national public policy. It generally seeks to build capacity and craft research agenda toward applied data science analytics through complex systems frameworks.

Objectives

DSPP has three objectives. First, it aims to build the capacity of UP faculty in data science and apply this learned skill to public policy and governance. Second, it seeks to engage a community of researchers within the university and encourage the pursuit of interdisciplinary problem-oriented research using high-level quantitative analyses. Finally, it strives to convene multidisciplinary teams of social scientists, humanists, and scientists to research issues in the public sector.

Contact

[email protected]