This resource guides trainers in planning and delivering programmes on occupational analysis and curriculum development. It focuses on integrating green skills, greening TVET, entrepreneurship, IR 4.0, and 21st-century skills into TVET.
This resource offers a comparative analysis of existing green skills frameworks to support sustainable development through TVET. It includes two detailed matrices—one mapping green frameworks chronologically, and another summarizing empirical research on green skills relevant to green industries. The study highlights key concepts, models, and collaborations needed between TVET institutions and green sectors to develop […]
The Global Innovation Hub aims to promote transformative innovations for a low-emission and climate-resilient future.
This checklist helps organisations assess whether their written curriculums, delivery of learning, assessments, support services and evaluation frameworks are gender-responsive.
This article explores how system planning, and in particular assessments of system adequacy, will need to innovate and evolve to allow power systems to keep delivering secure and affordable electricity supply during energy transitions.
This database presents the current status, policy barriers, and key innovations for electrification of mobility, heating and cooling, and hydrogen production.
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 is an interactive database of nearly 600 individual technology designs and components across the whole energy system that contribute to achieving the goal of net-zero emissions
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.
This study examines the integration of AI into energy management processes in industrial facilities and the advantages it provides.