In partnership with the Philippine Statistics Authority (PSA) and the Philippine Statistical Research and Training Institute (PSRTI), PARIS21 organised three virtual trainings taking place in November 2020. The workshops form part of the joint pilot programme "Operationalising CD4.0 in the Philippines: Strengthening Gender Statistics for Subnational SDG Monitoring." The programme was kicked off in July 2020 and provided attendees with a foundation in Capacity Development 4.0 (CD4.0), PSA's Community-Based Monitoring System (CBMS) and the importance of strengthened gender statistics.
This new pilot programme is underscored by a growing need to enhance the production of subnational gender statistics in line with SDG monitoring practices. The programme and its training modules are designed in a way that cities, municipalities and communities learn how to establish community-based SDG monitoring systems, specifically in the area of gender statistics. Attendees will also gain insights into new approaches to capacity development, such as the CD4.0 approach. The CD4.0 approach, developed by PARIS21 and launched in January 2020 at a high-level meeting with the United Nations Statistics Division, helps to assess and strategically develop the capacity of statistical systems, including their legal framework, funding infrastructure, coordination, communications and advocacy.
The training series was kicked off by a virtual seminar on gender statistics in policy making, which took place on 5 November 2020. Participants included Dr. Dennis Mapa, National Statistician at PSA, Dr. Josefina Almeda, Executive Director of PSRTI and her team, Benjie Navarro, Statistical Officer at PSA, Lisa Bersales, local consultant and former National Statistician of the Philippines, representatives from local government units (LGUs) from the province of Bataan and PARIS21 staff.
The seminar featured discussions around the characteristics of gender statistics and their role for global, regional, national and subnational goals as well as in policy making. In line with these key topics, participants explored answers to the following questions:
What are gender statistics?
How can they contribute to better policy making at the subnational level?
How can they be improved and used more in the CBMS?
Important takeaways were presented along the way, for example, the potential of data collected by LGUs to improve policy making and public service delivery in provinces. Moreover, the CBMS provides a number of core indicators targeted at fighting poverty. All of them are disaggregated by sex and therefore offer important insights for policy makers who may deal with questions such as: How does unemployment for women differ from men? Why is this the case? Do we need different social protection schemes?
The immediate need for policy making to be grounded in disaggregated data cannot be overemphasised. Tracking and responding to challenges for women and girls therefore requires a robust supply of relevant, granular and timely gender statistics. To bring them to the attention of policy makers, they need to be communicated effectively. Participants will therefore learn how to strengthens these pillars of better lives for women and girls together with partner and participants .
The second workshop took place on 17-19 November 2020 and focused on data production and management for gender statistics.
To enhance the data production of gender-related statistics, participants conducted the following exercises:
Defining data management and discussing its importance for gender statistics
Illustrating data management using CBMS data
Creating an Excel data set by encoding data, setting up tables for data cleaning and generating gender statistics
Creating metadata for CBMS
|Data production and management||Data management in Excel||data management in excel 2|
|data management in excel 3||recap day 1||construction of tables in excel|
On 24-26 November 2020, participants met for the third virtual workshop on how to use data visualisation and infographics to engage the public.
The objective of this training module was to
define data visualisation and compare it with infographics
discuss the key principles in data visualisation
identify important tips for more impact
describe and construct different chart types using Excel and Canva
|Column chart||Horizontal bar chart|
|Pie chart||Doughnut||Radar chart|
Final stakeholder workshop
On 27 January 2021, representatives of PSA, PSRTI, and PARIS21 jointly presented the results and key learnings of the CD4.0 pilot in the Philippines. Future commitments were presented and discussed in the presence of local actors such as the Bureau of Local Government Development, the Philippine Commission on Women and province governors as well as representatives of the national government. The Philippines welcomed the Director General of the National Bureau of Statistics in the Maldives Mrs. Shahuda Aishath as a special guest to this national workshop. In the future, the Philippines will engage in a peer-to-peer learning on a global level.
In his closing remarks, Deputy Head of PARIS21, François Fonteneau, highlighted the pioneering role of the Philippine Statistical Authority in establishing the CBMS, a sub-national statistical system supporting greater dialogue and data exchange with local authorities. Using the CD4.0 approach, the virtual trainings held throughout 2020 were designed in a way that participants presented their results directly to the local governors.
François Fonteneau, Deputy Head of PARIS21: The crisis has put the spotlight on global gender issues and gender data gaps. We need to look closely at disaggregated sub-national data on employment, health and well-being in order to leave no-one behind.
Following the success of the CD4.0 pilot project, PSA aims to further institutionalise the trainings and to share lessons learned with the National Bureau of Statistics (NBS) of the Maldives through interactive, virtual workshops facilitated by PARIS21.
As part of the peer-learning experience, PSA will advice NBS on how to approach the development of a CBMS and the use of citizen-generated data to enable greater participation of local governments and civil society actors and leave no one behind.
|CD4.0 approach||CD4.0 in Maldives||CD4.0 in the Philippines|