TReNDS supports a range of projects at the global, national, and sub-national levels that explore and document issues related to evidence-based decision-making, including innovations for timely data monitoring, production, and collection; best practices for fostering greater data use; and emerging data policy and practice standards.
Current Work
POPGRID
To ensure that no one is left behind, we need timely and reliable population data. The POPGRID project aims to advance the use and impact of geospatial population and infrastructure data by bringing together and expanding the international community of data providers, users, and stakeholders to accelerate the development and use of high-quality, georeferenced data on population, human settlements, and infrastructure.
Data for now
Too much of our data is out-of-date, and too many people are missing from the numbers. The Data For Now initiative seeks to address this issue by working to equip countries with the right tools, methodologies, and knowledge-sharing resources to produce and collect more timely and quality data.
testing the assumptions of the Data revolution
As we near the mid-point of the SDGs, this workstream reflects on the promise of the data revolution and aims to identify lessons learned to further the 'data for development' agenda in the lead-up to 2030.
Monitoring Digital Financial Inclusion
in africa
Promoting digital financial inclusion is critical to supporting marginalized groups, especially women. This project supports the G7 Partnership for Women’s Digital Financial Inclusion in Africa to accelerate advocacy efforts for women’s digital financial inclusion.
Past Work
Citizen Science: This project seeks to develop a methodology, guidelines, and tools for the uptake and use of citizen science data by National Statistics Offices and other governmental bodies for decision-making.
Smart Cities: This workstream assesses collaborations that support cities to improve their data for decision-making and service delivery.
Overcoming Data Graveyards: Researching the best practices for improving the use of data produced by statistical organizations.
SDG Monitoring, Big Data Research, and Dataset Curation: Researching advancements in SDG data production and availability and examining the processes needed to foster successful big data partnerships.
Contracts for Data Collaboration (C4DC): Demystifying the complexity of data sharing agreements and exploring data sharing issues during the COVID-19 pandemic.
Data Reconciliation: Exploring the ways in which data reconciliation can be applied as a method to address data gaps across disparate sectors and stakeholder scenarios.
Local Data Action: The Local Data Action Solutions Initiative (LDA-SI) enables local data activities for SDG monitoring and measurement.
Open Algorithms Project (OPAL): Making private sector telecommunications data securely available for the public good.
Living Manual: Local-level blueprints for SDG monitoring.