Public procurement data is, usually, available in a format that is quite challenging for humans to transform into a form that can be analyzed for evidence-based public procurement reforms. In this event, the project team discussed how this gap can be filled through machine learning. This event was held on September 9th, 2020, as part of the OC Data Toolkit project under the Global Procurement Partnership Multi-Donor Trust Fund (GPP MDTF). The GPP MDTF is managed and supervised by the World Bank’s Governance Global Practice–Procurement Department and is supported by the European Commission, the Swiss State Secretariat for Economic Affairs, the Netherlands Ministry of Foreign Affairs, and the French Development Agency.
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