Use-Cases

A proper REACTion in securing integrity on the public bidding of construction and infrastructure tenders amidst the COVID-19 pandemic

(This article and the manuscript were submitted by the research team and may be updated in the future)

As of July 22, 2020, a total of 72,269 total COVID-19 cases has been reported, of which 46,803 are still classified as active cases [1]. With this continual rise of COVID-19 cases, it is estimated that this would cost about PHP2.2 trillion economic losses and is equivalent to at least a 2% contraction in the nominal gross domestic product (GDP) of the country [2]. As a consequence of this economic loss, about 26% of businesses operating in the country have already closed [3] resulting to about 100,000 Filipinos losing their jobs in the 1st half of 2020 [4] Indeed, there is an immediate need to control the spread of COVID-19 in the country to further mitigate the impact of the said disease to the Filipino people.


Fastracking the Public Procurement Process


The COVID-19 crisis in the country is a race against time. As seen from the success stories of our neighboring ASEAN countries, fast, efficient, and integral procurement played a crucial role in securing a “COVID-free” nationwide status. In response to this sense of urgency brought about the by the COVID-19 pandemic, the Government Procurement Policy Board (GPPB) recently issued a series of resolutions to shift current publicly held procurement related to COVID-19 into negotiated procurement (emergency cases) and relax existing guidelines on the submission of vital bid documents [5]-[8]. For instance, expired business or mayor permits and unnotarized bid documents submitted by eligible bidders could already be accepted under these new GPPB issuances.


Challenge on Procurement Integrity and Transparency


While it is necessary to fastrack public procurement in response to the COVID-19 pandemic, it is equally important to ensure integral and transparent implemented procurement processes to protect the interest of the Filipino people. Considered as one of the most vulnerable to corruption especially in this time of an emerging health crisis, relaxation of the imposed regulations is seen to compromise the overall integrity of the present public bidding processes. The acceptance of unnotarized bid documents, for instance, could promulgate misrepresentation on the capacity of an eligible bidder to faithfully undertake any contractual obligations if such barriers are removed.


REACT Risk Indexing System


Through a research grant given by Layertech Software Labs, Inc. and Hivos – People Unlimited, a group of faculty researchers from Bicol University College of Engineering looked closely into this present dilemma. Considering that shortening the time needed in awarding government contracts is of utmost priority, a rapid evaluator and assessor of contractor traits (REACT) risk indexing system was proposed and investigated as an intervening and supplemental tool to aid in upholding the integrity of the presently changed public procurement process on construction and infrastructure tenders related to the COVID-19 pandemic.


Using historical data periodically published by GPPB, assessment of an eligibility of a contractor based on its previous performance was further simplified by these researchers. Through REACT, three general classification of contractors were reported namely, “low risk”, “moderate risk”, and “high risk”. Contractors that were classified as “low risk” in the
proposed risk indexing system were found to be the most eligible as these contractors were reported to have at most an average negative slippage of 7.5%. In accordance to the findings reported by these researchers, it was further suggested that necessary precautions and scrutiny be exercised to those contractors that would be classified as “moderate risk” and “high risk” contractors since these contractors were found to have an average negative slippage of at least 24.9% which is well beyond the acceptable negative slippage of 15%.


Indeed, as presented in the case study of the proposed REACT risk indexing system to the publicly available historical data of contractors in Region V, the applicability of the proposed system to preserve integrity of the presently relaxed public procurement process has been validated.


With the validation of the efficacy of the proof of concept as reported by the researchers, the proposed REACT risk indexing system is seen to be a plausible data-driven solution in light of the challenges in the public procurement process amidst the COVID-19 pandemic.

Find the presentation slides below:

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Watch the full recording of the presentation below:


References:
[1] https://www.doh.gov.ph/covid19tracker
[2] https://business.inquirer.net/298536/p2-2-trillion-in-losses-cost-of-covid-19-impact-on-ph-economy
[3] https://mb.com.ph/2020/07/16/closure-of-26-of-ph-businesses-alarms-dti/#:~:text=Of%20the%202%2C135%20companies%20surveyed,status%20of%20business%20around%20the
[4] https://newsinfo.inquirer.net/1297196/dole-close-to-100000-lost-jobs-in-jan-june
[5] https://www.gppb.gov.ph/issuances/Resolutions/GPPB%20Resolution%20No.%2003-2020.pdf
[6] https://www.gppb.gov.ph/issuances/Resolutions/GPPB%20Resolution%20No.%2005-2020.pdf
[7] https://www.gppb.gov.ph/issuances/Resolutions/GPPB%20Resolution%20No.%2006-2020.pdf
[8] https://www.gppb.gov.ph/issuances/Resolutions/GPPB%20Resolution%20No.%2009-2020%20with%20SGD.pdf

Can the LGUs respond to LSIs? A classification system to qualify capacity of local government units (LGU) to ACT on arriving COVID-19 positive locally stranded individuals (LSI)

(This article is submitted by the research team and may be updated in the future.)

The COVID-19 pandemic has largely affected local government units (LGU) in the Philippines, guven the continuous rise of confirmed COVID-19 cases within their respective areas of jurisdiction. In mid-June 2020 alone for example, a spike in the COVID-19 cases was observed across all regions in the country.

As of July 22, 2020, a total of 72,269 confirmed COVID-19 cases has been reported, of which 46,803 cases are classified as active [1]. It is therefore imperative for the LGUs to immediately contain this spike in confirmed COVID-19 cases to prevent further spread of infection in their areas.

Possible Cause of Recent Spike in COVID-19 Cases

With the sudden implementation of a nationwide lockdown across all provinces in the Philippines, about 84,000 individuals remained stranded in Metro Manila for the duration of the imposed mitigation measures in the country [2]. In this case, a humanitarian effort to send these locally stranded individuals (LSI) to their respective home provinces was launched.

As the COVID-19 data published daily by the Department of Health indicated [1], the recent spike in confirmed COVID-19 cases mid-June 2020 could be linked to the return of LSIs to their respective home provinces.

Cross-examination of recently published COVID-19 data on regions (i.e. Region V) reporting a significant number of arriving LSIs further supplemented this observation [3]. As a result, there have been reported instances of mismanagement on the containment protocols of possible COVID-19 positive cases due to the onset of this described occurrence [4]. Hence, there is then a need to assess the capacity of LGUs to properly manage the arrivals of possible COVID-19 positive LSIs while ensuring that the arriving individuals are not discriminated and properly received according to the required medical protocols .


Capacity of LGUs to ACT on Arriving LSIs


Through a research grant given by Layertech Software Labs, Inc. and Hivos – People Unlimited, a group of faculty researchers from Bicol University College of Engineering looked closely into this present dilemma. Using COVID-19 related procurement data and officially press released COVID-19 data for the case of Region V, a system classifying the capacity of LGUs in the said region to accommodate, contain, and treat (ACT) arriving LSIs was formulated.

Under the developed system, three general LGU classifications were then derived namely, “low”, “moderate”, and “high”.

LGUs classified under the “high” category were reported to have at least three (3) hospitals and at least 10,000 PPEs readily available for ACTing on the arrival of possible COVID-19 positive LSIs. This then implied according to the researchers that LGUs categorized as “high” are the most equipped on ACTing on arriving LSIs. On the other hand, “moderate” LGUs were reported to have 1-2 hospitals readily available and a significantly low number of active COVID-19 cases within their respective areas of jurisdiction while “low” LGUs were also reported to have 1-2 hospitals within their vicinity but their active COVID-19 cases were relatively higher than that of “moderate” and “high” LGUs. In this perspective as cited by the researchers, LGUs (i.e. Oas, Albay) classified into “moderate” or “low” categories are highly advised to exercise due scrutiny and adhere to stringent health protocols while ensuring LSIs are not discriminated upon their arrival.


With the validation studies done on the case of Region V, this developed classification system is indeed seen to be helpful in providing data-driven insights that will specifically aid decision-makers on creating policies for proper management on the arrival of such individuals.

See the researcher’s presentation slides below:

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Watch the entire presentation in the following video:


References:
[1] https://www.doh.gov.ph/covid19tracker
[2] https://www.philstar.com/headlines/2020/06/22/2022647/palace-government-reviewing-hatid-probinsya
[3] https://www.facebook.com/dohbicol/
[4] https://www.cnn.ph/news/2020/6/22/Hatid-Probinsya-Program-COVID-19-cases-provinces-Roque0.html

OCDex Portal: A Data-Driven Approach in Analyzing Procurement Process of Community-Based HIV/AIDS Advocacy Related Items

4th International Conference on Machine Learning and Soft Computing, Haiphong Vietnam, January 2020

Association of Computing Machinery (ACM)

Full PAPER (ACM): https://dl.acm.org/doi/pdf/10.1145/3380688.3380719

Abstract:

The objective of this study is to use government procurement open data to inform Civil Society Organizations (CSOs) of the best possible strategies to optimize, and maximize their advocacy work. In this paper, pre-processing of the Department of Health Region (DOH) 5 procurement datasets from 2016- 2018 are conducted, collected from the official Philippine Government EProcurement System (PhilGEPS) repository. The visualizations and calculations showed average prices of HIV-related commodities, procurement categories, average procurement timelines and patterns, procurement allocation per province, which CSOs, represented by Gayon Bicol, may use to improve their crafting of proposal and monitoring of service delivery in their HIV-related grassroots advocacy work in the province of Albay. The data also showed posting of Notice to Proceed in PhilGEPS by approximately 16 days earlier than Publication of Award, for the entire Department of Health (DOH) Region 5, and 108 days early on HIV- related transactions, which is not within the compliance standards as stated in the Government Procurement Reform Act (GPRA) law, thus, a point for improvement for the agencies concerned.

Tracking Population Growth and its effects to Philippines’ Carrying Capacity in selected indicators

By: Team Data Hoarders

“TEAM DATA HOARDERS” Explored the Population Growth and its Effects to Philippines’ Carrying Capacity in Selected Indicators. They gave recommendations and insights both for data scientists to explore further on, and the government!

The presentation of Team Data Hoarders for the Datathon2020: Evidence-Based Lobby and Advocacy with Data Analytics, on February 22-23, 2020 held at Bicol University CSIT.

Please note that this presentation may be updated, modified, substantiated, in the following days. Please check this page for updates.

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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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Roles and Issues of the Sangguniang Kabataan

By Team: BATAG

“TEAM BATAG” or Team “Builders And Technology Advocates Group”, our young team from CSO and and Computer Science and IT Students,
presents the current issues that the youth are facing, and measures youth participation in governance.

trivia: ‘Batag’ is a bicol word for ‘banana’ pun so not intended! 😀

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

Follow 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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HIV/AIDS in the Philippines

By Team Anata

“TEAM ANATA”, a mix of advocates and Computer Science and IT Students,
presents and discusses how they used data to identify key issues in HIV/AIDS in the Philippines, its urgency, and comes up with data-backed recommendations for government budgeting for HIV-related kits, trainings, and anti-retro-viral drugs.

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

Follow 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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Demand Generation Activities – Family Planning

By TEAM DatAvengers

Looking at the Number of Men and Women of Reproductive Age Reached With Unmet Needs for Family Planning, Referred, and Served

The presentation of Team DatAvengers for the Datathon2020: Evidence-Based Lobby and Advocacy with Data Analytics, on February 22-23, 2020 held at Bicol University CSIT.

Please note that this presentation may be updated, modified, substantiated, in the following days. Please check this page for updates.

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Procurement Analytics for Process Optimization – State University Report

This report is made in support to the international open data movement, and to generate insights to help optimize the procurement process of procurement entities. For this report, State University Data is used, although the method is applicable to all procuring entities in general.

Please note that Layertech is not giving any conclusive statements about the agencies and organizations mentioned in this report. We highly encourage that additional research and validation be conducted when using the information stated in this report.

This report is a use-case created under the Open Contracting Grant of Hivos. The views and insights in this document do not necessarily reflect those of Hivos.

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Kindly take time to read the notes, recommendations, scope and delimitation mentioned in this report.

This is document is under CC3 License. This is produced by Layertech. Please do not use the information without proper credit and/or Link to our website.   For  more information, comments and suggestions, please contact learning@layertechlab.com or visit www.OCDEX.tech

Business Intelligence Report – Albay LGUs

This report is made in support to the international open data movement, and to generate business insights from open procurement data to help suppliers be more efficient and competitive when joining government procurement.

Please note that Layertech is not giving any conclusive statements about the agencies and organizations mentioned in this report. We highly encourage that additional research and validation be conducted when using the information stated in this report.

This report is a use-case created under the Open Contracting Grant of Hivos. The views and insights in this document do not necessarily reflect those of Hivos.

Kindly take time to read the notes, recommendations and delimitation mentioned in this report.

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This is document is under CC3 License. This is produced by Layertech. Please do not use the information without proper credit and/or Link to our website.   For  more information, comments and suggestions, please contact learning@layertechlab.com or visit www.OCDEX.tech