Institutions all over the world are setting up microcredentials in responses to calls from governments and industry: short courses, usually offered online by accredited institutions, with an emphasis on the needs of the workplace. They are also often used for retraining and upskilling. This book explains how to start offering microcredentials as an academic institution.
This guide aims to accelerate the flexibility and responsiveness of learning systems by providing guidance on the design, issue and recognition of micro-credentials.
This report identifies the main risks and barriers limiting investment in the energy transition, supplying a toolkit for policy makers, public and private investors, and public finance institutions to scale up their investments in renewable energy.
This journal article describes risks and mitigation strategies in renewable energy investment.
This report identifies and analyses key risks and barriers to private-sector investment in interconnected mini-grids in Nigeria, and evaluates policy and financial instruments designed to address them.
Derisking Renewable Energy Investment (DREI) introduces an innovative, quantitative framework to assist policymakers in developing countries to cost-effectively promote and scale-up private sector investment in renewable energy.
This report discusses potential social and environmental risks associated with the roll-out of the GETFiT renewable energy investment programme in Zambia, as well as mitigation measures.
This paper provides general guidelines for conducting Environmental Impact Assessments for waste-to-energy projects.
This report explores the critical intersections of AI development, gender equality and energy transitions, emphasizing how AI applications can advance a sustainable, equitable and just energy transition.
This paper discusses the role of AI in the energy transition in Latin America, identifies key factors for successful implementation in the region and proposes an AI maturity model for the energy transition that allows stakeholders to assess the status and gaps for the AI adoption.