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]

DSPPP Publications


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DSPPP Team


Jalton G. Taguibao, Ph.D.

Convenor

Associate Professor, Department of Political Science,
University of the Philippines Diliman

Vladimer B. Kobayashi, Ph.D.

Research Fellow

Associate Professor
Department of Mathematics, Physics, and Computer Science University of the Philippines Mindanao

Maria Margarita R. Lavides, Ph.D.

Research Fellow
Assistant Professor
University of the Philippines Diliman Extension Program in Pampanga and Olongapo

Julius Paolo C. Basa, MPA

Senior Project Assistant
Data Science for Public Policy Program
Center for Integrative and Development Studies
University of the Philippines

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