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Public Data Analytics: Community Problem Solving

VOLUME 2 of the OCDex Public Data Analytics Series

Data science and analytics has demonstrated its power in informing decision-making and problem-solving. Data can reveal trends and insights that would have otherwise been obscured. It can give decision-makers key information needed to craft effective and optimal solutions to organizational problems. It can help predict potential bottlenecks and challenges, so that organizations may come prepared when it happens. Data science and analytics is a sought out
skill in the digital age.

The Covid-19 pandemic and its resulting limitations on mobility has forced many transactions and communications to migrate from the physical space to the digital space. This sudden global digitalization resulted in an increase in data produced and a subsequent increase in the potential game-changing insights that these data may be hiding.


While many in the private sector have been seen leveraging the power of data for business insights and maximization of revenue, the public sector is yet to catch up in terms of digitalization and data utilization, especially in developing countries. The power of data would especially help communities and local governments in coming up with efficient, effective, and inclusive policies and solutions to problems.


The aim of the 2022 OCDex project run is to bring data scientists and analysts together, and demonstrate how analysis of government data can be used to help solve problems in local communities. The project aims to demonstrate how it can help inform local policymaking and project planning, and how citizens and researchers can participate and help their respective local government units in overcoming community challenges hand-in-hand. This handbook hopes to convince local governments and authorities to invest in good data housekeeping and integrate data science and analytics into their decision-making.


This handbook features how academics and data enthusiasts used public data to help inform solutions to various community problems such as healthcare, inclusivity, and accessibility for persons with disabilities, fairness, and transparency in public procurement, and ensuring enough supply of utilities. Lastly, this handbook presents a replicable model of cooperation between local governments and their local researchers and data enthusiasts toward the effective use of data science and analytics for community building.

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For more information, questions, suggestions, and submissions, please e-mail learning@layertechlab.com

Reflections: How the Academe can Leverage Data and Analytics to Help LGUs

Author: Mia Amor C. Tinam-isan (Mindanao State University – Iligan Institute of Technology)

Data analytics has been the talk of the town. It finds its way across agencies (government or private), businesses, or various institutions in discovering valuable information about the existing and overwhelming amount of data. Data in these times exponentially increase and extracting valuable information from these data is essential. Information from the analysis can be used for decision making, coming up with a good marketing strategy, or even in establishing policies and guidelines from a broad test base. However, local government units per se in various parts of the Philippines, have not yet maximized the impact of data analytics. Varying factors might contribute to this such as unorganized data and non-computerized processes.

As part of the academic community, we can implement programs, webinars, and workshops that will empower our LGU to exploit their available data. It is imperative to partner with NGAs, and LGUs, and develop a working strategy for local government digitization. We can propose a simple initiative and start from the automation of LGU processes to organize and ensure the quality and the integrity of data for analysis. We can also venture into partnering with private agencies such as OCDex which has experienced in partnering with LGUs and had already developed numerous government data analytics applications. As of the moment, the College is continuously having a dialog with different offices of LGU-Iligan in crafting MOA for the digitization of the city government.

This article is the author’s reflection on the insight gained from the recently concluded OCDex 2022 Public Data Analytics Fellowship Trainings.

For more information about the article, please reach out to the author: miaamor.catindig@g.msuiit.edu.ph or Layertech labs support at learning@layertechlab.com

Educated Spending: An Insight on SUCs Utilization of MOOE

Author: Sittie NB Pasandalanb (Mindanao State University – Iligan Institute of Technology)

Despite the reality of reduced budgets of the education sector especially of state universities and colleges (SUCs), institutions of learning have a good share of the annual National Expenditure Plan of the government. Generally, appropriations of SUCs can be categorized into three: Personnel Services (PS), Capital Outlay (CO), and Maintenance and Other Operating Expenses (MOOE). Of these three categories, the MOOE should be of great interest as this gives insight to how a higher education institution (HEI) of the government utilizes government funds, ergo tax payers’ money.

MOOE is funds to be used for necessities (such as electricity and water) and for activities. HEIs are institutions expected to promote conservation of energy, it is worthy to look into the electricity and water bills of HEIs as these would speak of how HEIs are walking the talk. As employees of HEIs are taxpayers themselves, spending for activities should be examined to determine judiciousness in utilizing government funds, ergo taxpayers’ money. 

There is the disconnect between spending from one’s own pocket to spending from another’s pocket. Most likely, one finds it easier to spend from another’s pocket than one’s own. This begs the question of whether employees in HEIs (taxpayers in HEIs) can connect with the funds allocated to HEIs as taxes they have paid to the government, ergo their money. 

In the case of MSU-IIT, the MOOE for 2021 amounted to Php 297,321,732.24 (from Php 222,402,237.68 in 2020). The question on how the amount was utilized and if the expenses are necessities or mere expenditures to utilize funds allocated by the government begs to be answered. 

This article is a reflection on the OCDex 2022 Fellowship Programme for Researchers

For more information about the article, please reach out to the author: sittie.pasandalan@g.msuiit.edu.ph or Layertech labs support at learning@layertechlab.com

Reflections: Using Data Analytics to Validate Philippines’ occupational gender segregation

Author: Christian Sy (Bicol University)

The World Economic Forum’s Global Gender Gap Report of 2021 recognized the Philippines as the best-performing country in Asia in terms of gender equality. It ranked 1st in Asia and 17th out of the 156 countries. The Global Gender Gap Index (GGGI) is a significant indicator of gender disparity worldwide. It is useful for tracking the extent of access to resources and opportunities and differences between men and women. It adopts four key dimensions that include 1. Economic Participation and Opportunity, 2. Educational Attainment, 3. Health and Survival, and 4. Political Empowerment.

The Philippines have almost closed the gender gap for educational attainment and health and survival gaps with an index score of 0.999 and 0.979, respectively out of the perfect score of 1. On the other hand, economic participation and opportunity, and political empowerment are trailing with 0.792 and 0.353 index scores. This is primarily because of the gender gap in employment opportunities for women, and statistically, there are too few seats in government-held for women.

With this, we can explore a textual analysis of multi-domain, multi-source, and multi-year articles through big data analytics to validate the Philippines’ occupational gender segregation along with the economic participation and opportunity dimension of the Global Gender Gap Index (GGGI). The result of this textual analysis may be utilized to improve institutional transformation and policy formulation for equalizing economic participation and opportunity for women.

References

[1]        M A R C H 2 0 2 1 Global Gender Gap Report The analysis presented in the Global Gender Gap Report 2021. 2021. [Online]. Available: http://reports.weforum.org/global-

[2]        R. R. Sharma, S. Chawla, C. M. Karam, “Chapter 10: Global Gender Gap Index: World Economic Forum Perspective”, 2021, DOI:88975728.00017.

[3]        T. Mehdi, “Global Gender Gap Index: A Stochastic Dominance Approach,” SSRN Electronic Journal, Sep. 2020, doi: 10.2139/ssrn.3663281.

[4]        R. E. Matland, “Women’s Representation in National Legislatures: Developed and Developing Countries,” Legislative Studies Quarterly, vol. 23, no. 1, p. 109, Feb. 1998, doi: 10.2307/440217.

[5]        C. L. Hoyt, “Women, Men, and Leadership: Exploring the Gender Gap at the Top,” Social and Personality Psychology Compass, vol. 4, no. 7, pp. 484–498, Jul. 2010, doi: 10.1111/j.1751-9004.2010.00274.x.

This article is a reflection on the OCDex 2022 Fellowship Programme for Researchers

For more information about the article, please reach out to the author: cysy@bicol-u.edu.ph or layertech labs support at learning@layertechlab.com

How Much is the Budget for HIV treatment in the Philippines?

By Team Data Miners

“TEAM DATA MINERS” Explores budget trend of HIV-related commodities, versus the number of newly diagnosed cases of HIV per month from 2017 to 2019, as well as insights, comments and recommendations!

This is Team Data Miners’ presentation at the Datathon2020: Evidence-Based Lobby and Advocacy competition and workshop, held at Bicol University College of Science, February 22-23, 2020.

low this page for more updates, as this study gets further substantiated. The contents of this page may be modified, updated, and further substantiated.

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This document is CC3.0 – Use with proper attribution
(https://creativecommons.org/licenses/by/3.0/ )

Students Analyzing Procurement Data: 2019 Datathon for Transparency, Efficiency and Good Governance

25 students from Bicol University College of Science – Computer Science and IT Department, and students from Southern Luzon Technological College Foundation, Inc., joined the two-day Datathon on September 4-5, 2019 at Bicol University College of Science Laboratory. The event is facilitated by Layertech Labs, with the help of Bicol University CS- CSIT and SLTCFI, supported by Hivos.

In 10 hours, students learned basics of the R Environment, Basic Data Scraping and Data Analytics techniques. The students were made to form teams of 3 or 4, with a procuring entity of their choice. Using R, the students were able to scrape official Philippine procurement data from Philippine Government E-Procurement System (PhilGEPS), clean and standardize the datasets, before visualizing them into graphs.

At the end of theDatathon, the teams presented their findings before a panel of judges from: Department of ICT Luzon Cluster 3, Bicol University CS-CSIT, SLTCFI, and Gayon Bicol Civil Society Organization.

The judges declared the final winner, team “Paste Copy”, for analyzing Department of Education Region 5’s procurement efficiency, focusing on procurement of school supplies in the region’s public schools.

Check out the VIDEO: