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Reflections: Data Analytics for Social Development

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Author: Mary Joy Canon (Bicol University)

Exploiting data through machine learning and analytics has been a trend solution in helping the government and other organizations alleviate pain in terms of social and economic aspects. Tools and methodologies in data analytics are used to generate insights, to recommend actions and more importantly to assist authorities in policy-making and translating these analyses to sound programs which directly benefit the people.  Perhaps, different organizations through their projects have already contributed, through data science, to social development and welfare. Kaggle, for instance was able to predict poverty levels to identify where the highest need is for social welfare assistance. This kind of project wouldn’t have been possible without access to data.

In the Philippines, the aim of social development mandated under the Constitution is to enact measures to protect and enhance the right of the people to human dignity, reduce social and economic inequalities and remove cultural inequities. Open data and analytics offer significant contribution and opportunities for the government and other bodies to create social impact.

Humanitarian Data Exchange of OCHA publicly made available a consolidated dataset on social development from World Bank Open Data. Data covers child labor, refugees, gender issues and disparities with key topics on education, health, labor force participation and political participation. This compilation of data, once processed and analyzed can be utilized in projects for social impact. The analysis can serve as an aid to identify the social issues or concerns that need immediate action by making essential benefits and services more accessible to the people. Data scientists, government officials and social sector leaders can work together to come up with a data-driven solution to take a major step forward in providing social transformation.

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: mjpcanon@bicol-u.edu.ph or Layertech labs support at learning@layertechlab.com

Reflections: The Importance of Analysis of Government Data

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Author: Jimson Ornido (National University)

The purpose of government is to enable the people of a nation to live in safety and happiness. Government exists for the interests of the governed, not for the governors.

– Thomas Jefferson

Local government units play an essential role in the lives of their constituents and the community. In the National Capital Region alone, there are 16 cities and one municipality, consisting of 1710 barangays. Some of the functions performed by LGUs are as follows: taxation, law enforcement, administration, maintaining peace and order, providing public works, overseeing the local police force, and disaster management.

All of the mentioned functions involve a vast amount of data. Hence, data analysis is a crucial step in progressing the level of governance for LGUs. For example, disaster management will significantly benefit from the insights extracted from previous records. Contingency and emergency plans can be improved as a result.

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: jvornido@national-u.edu.ph or Layertech labs support at learning@layertechlab.com


        	

        	        
        	        

    

	





    

                    
            

    	        
			
							

		            

                
        

        	

        		        	
        		
Maragondon and Ternate Tourism: Managing Riders and Businesses
        		                

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Author: Mark Emmanuel Malimban (National University)





Maragondon and Ternate are municipalities located in the southern part of Cavite. These rural areas are rich in history and culture: Ancestral houses, Churches, and Historical sites can be found here. Mountains and many types of bodies of water are also enjoyed by the locals and tourists.





Bikers and motorists were commonly seen roaming around the vicinity. These groups come in small to big groups mostly coming from other areas and cities. Popular destinations of these riders are the Kaybiang Tunnel and the stretch road of Maragondon-Ternate-Nasugbu with the scenic beaches; with these, a lot of businesses have sprouted in the area which helps the local and LGU.





The increase in riders in the area doesn’t only come with advantages, some unfavorable circumstances were also identified. LGU placed some necessary steps to reduce some of these inconveniences and concerns.





Data analytics can help in developing the policy for government efficiency and resiliency. Bikers’ regulations for compliance with national directives; peace and order structure for tourists especially riders; and management of businesses in terms of investment and promotion. Analysis can also be used as a reference in devising the Disaster Risk Reduction Plan and Local Risk Assessment.





Opportunities should not be wasted, they should be managed well to increase their potential. LGU Policies and regulations should be data-driven to ensure that all perspectives and opinions were considered. Managing and establishing appropriate directives for these bikers and motorists will ensure not just safety but also the progress of the community.





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: memalimban@gmail.com or Layertech labs support at learning@layertechlab.com

        	

        	        
        	        

    

	





    

                    
            

    	        
			
							

		            

                
        

        	

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

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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
        		                

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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
        		                

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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?
        		                

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

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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: