CONSULTATIVE STAKEHOLDER MEETINGS
Data Science Working Group
July 14–December 10, 2021 (recurring meetings)
DSPPP continued to convene the Data Science Working Group and participated in the continued review of the inter–constituent unit (inter-CU) program proposals in the field of data science, in particular:
• Ph.D. in Data Science (College of Science, School of Statistics, and College of Engineering; UP Diliman);
• BSc in Data Science (UP Mindanao);
• MSc in Data Science for Development (UP Open University); and
• MSc/Ph.D. in Bioinformatics (College of Science, UP Diliman; and the Philippine Genome Center)
The Working Group also serves as an avenue to discuss the efforts of different UP units in addressing the COVID-19 pandemic’s impacts.
Various academic heads are also part of the meeting to integrate all data science efforts and setting up a facility to cater to UP researchers’
needs in terms of big data analytics (BDA) and cloud computing, among others (e.g., installment of supercomputers for researchers and the launch of UP Data Commons).
CONSULTATIVE STAKEHOLDERS MEETING
Digital Public Pulse Project
October 2021
DSPPP and the Department of Communications Research from the College of Mass Communication (CMC), UP Diliman held a meeting to present and discuss the Digital Public Pulse, a media-monitoring project by UP CMC that traces maps, and analyzes public discourses in the Philippine digital public sphere. It investigates the intersection of the digital public, social networks, and media
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. | PHOTO BY: Joyce Marie Lagac
convergence in shaping Philippine politics, culture, and society.
CAPACITY-BUILDING ACTIVITY
Text Mining in Career Studies: Generating Insights from Unstructured Textual Data
July 23, 2021
The lecture explained the process of text mining as it is applied to the study of careers, starting with text preprocessing and ending with the application of analytical techniques.
Both conventional techniques, such as latent semantic and principal components analysis, and more novel text analytical techniques, such as word embeddings, are discussed. The lecture also hopes to inspire careers researchers to further embrace text analysis to answer novel research questions.
RESEARCH ACTIVITY
Analysis of Education-to-Labor-Market and Job-to-Job Transitions
September 24, 2021–Present
The research project aims to visualize transitions and create a model that can predict probable job transitions in a person’s career using historical data of education-to-labor market transitions and job-to-job transitions. The project will build a model using sequence prediction algorithms, such as recurrent neural network and conditional random fields, among others.
outputs FROM JULY TO DECEMBER 2021
Proceedings
• “Proceedings of Text Mining in Career Studies: Generating Insights from Unstructured Textual Data”
Working papers
• “The Role of Data in Post-Pandemic World”
• “Information System Capacity Asymmetries across various LGUs”
Upcoming activities and Outputs for January to June 2022
DSPP will continue pursuing activities related to its internal research agenda, particularly on the governance of information systems. It will also look into labor market analytics and health data science. The outputs of these research activities will be submitted to UP CIDS for publication.
Different capacity-building programs will also be pursued as part of DSPP’s two-pronged thrust—
the proceedings of which shall be compiled and submitted for publication to the Center.
ACTIVITIES
• Continuation of the labor analytics research activities
The project is conducting two labor analytics research activities. The first aims to use historical data of education- to-labor market transitions and job-to- job transitions, to create a model that can predict probable job transitions in a person’s career. The second research project will create an algorithm that automatically detects and sorts job type information in vacancies. These job information may include worker attributes (skills, competencies, education), job activities, description of the business organization, benefits, and compensation.
Consequently, the project will create the first skill taxonomy of Filipino workers in the Philippines.
• Research activities related to the Innovations in the Operationalization of Whole-of-Society Approaches in Pandemic-Related Information Systems The research project aims to look at the experience of select local government units (LGUs) in improving their information
UP CIDS Year-end Report • July–December 2021
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system capacities in addressing the COVID-19 pandemic by gathering textual data from the discussions with LGUs and utilizing the data available from different social media pages of these LGUs to conduct quantitative analysis.
• Analyzing skill demand and taxonomies in the Mindanao region
Mindanao offers great potential in terms of manpower; however, many young workers cannot find suitable jobs because either they are not aware of the opportunities or there are mismatches in their education and available jobs in the labor market. The task is to develop profiles of skills and competencies required by companies operating in the Mindanao region. The result will be used to write a policy brief that makes recommendations on what skills education institutions should focus on developing for their students.
OUTPUTS
1. Policy briefs
2. Discussion papers (Analysis of Education- to-Labor-Market & Job-to-Job Transitions) 3. DSPP Lecture Series
DSPPP Research Fellow Dr. Vladimer Kobayashi teaches participants text analysis using the program R | PHOTO BY: Joyce Marie Lagac