Partnerships for the Goals

The Sustainable Development Goals Report 2024 warns that with less than one-fifth of targets on track the world is failing to deliver on the promise of the Sustainable Development Goals (SDGs). Artificial Intelligence (AI) holds significant potential to accelerate the implementation of the SDGs by enhancing efficiency fostering innovation and improving decision-making across various sectors such as health education climate change water food and energy. However the unpredictable trajectory of AI development coupled with its complex ethical social and political ramifications necessitates a structured approach to anticipate and navigate its potential impacts. Strategic foresight exercises are essential in this context enabling stakeholders to proactively identify and address emerging challenges and opportunities associated with AI. By leveraging collective intelligence and scenario planning strategic foresight exercises can help ensure that AI technologies are developed and deployed responsibly thereby increasing the likelihood of their positive contribution to sustainable and inclusive growth. Such forward-thinking methodologies are critical to mitigating risks and harnessing AI’s transformative power in advancing the SDGs. This policy brief explains how strategic foresight can inform and guide public sectors in anticipating unexpected challenges and effectively harnessing AI technologies.

Within the UNCTAD Division on Technology and Logistics the E-commerce and Digital Economy Branch carries out policy-oriented analytical work on the development implications of information and communication technologies (ICTs) e-commerce and the digital economy.

The eTrade Readiness Assessment was conducted to identify the main barriers and opportunities for e-commerce development in the seven eTrade for all policy areas by providing a detailed diagnostic of the digital ecosystem and identifying key policy actions for which support can be mobilized.

The eTrade Readiness Assessment of Trinidad and Tobago aims to identify the main challenges and opportunities to e-commerce development and to propose policy recommendations for a robust and safe e-commerce ecosystem favourable to all consumers and supportive of local businesses which are empowered to serve domestic and international markets. The assessment is expected to further strengthen the efforts that the Government of Trinidad and Tobago in pursuit of the digital transformation of the economy and society including ongoing efforts to develop the National E-Commerce Strategy 2024-2029.

База данных TRAINS ЮНКТАД по НТМ представляет собой (несбалансированную) панель сопоставимых данных о НТМ по многим странам за период с 2013 года по настоящее время. НТМ кодируются на основе системы классификации а затрагиваемые товары классифицируются с использованием шестизначных кодов Гармонизированной системы. Набор данных является двусторонним т. е. отображаются данные как по экспортеру так и по импортеру. Этот набор данных использовался во многих научных работах.

This document is a guide to understand and access Non-tariff Measures (NTMs) data and to retrieve the data using the UNCTAD TRAINS NTMs database. The database is an essential resource that provides comprehensive data on non-tariff measures for policymakers traders and researchers.