26 April 2018 - 27 April 2018
Mexico City, Mexico

Expert Group Meeting on Accelerated Technological Change, Artificial Intelligence, Automation, and Their Policy Implications for Sustainable Development Targets

The meeting will collect recommendations from experts on disruptive technologies and will synthesize information in the latest exponential technology trends, supporting the "Technology Facilitation mechanism".

UN

UN

The meeting, organized with the UN Department of Economic and Social Affairs (UN DESA), the United Nations Conference on Trade and Development (UNCTAD) and the Economic Commission for Latin America and the Caribbean (ECLAC), is a forum for discussing the opportunities and challenges presented by the use of new technologies to achieve the goals and targets of the 2030 Agenda.

Over the course of the two-day meeting, the participating government representatives, international organizations and well-known academic and scientific experts will make recommendations on how to take advantage of new technologies while minimizing their disruptive effects on societies. These recommendations will then be presented at the Forum on Science, Technology and Innovation for the SDGs (STI Forum) to be held on June 5-6 in New York and co-chaired by Mexico.

Prof. Dr. Nebojsa Nakicenovic will be present a policy brief on IIASA work on technological change and will participate in a session on future perspectives.

Technology Facilitation Mechanism



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Last edited: 11 May 2018

CONTACT DETAILS

Nebojsa Nakicenovic

Emeritus Research Scholar

Transitions To New Technologies

T +43(0) 2236 807 411

PUBLICATIONS

Willaarts B , Lechón Y, Mayor B, de la Rúa C, & Garrido A (2020). Cross-sectoral implications of the implementation of irrigation water use efficiency policies in Spain: A nexus footprint approach. Ecological Indicators 109: no.105795. DOI:10.1016/j.ecolind.2019.105795.

Pettifor H, Wilson C , Bogelein S, Cassar E, Kerr L, & Wilson M (2020). Are low-carbon innovations appealing? A typology of functional, symbolic, private and public attributes. Energy Research & Social Science 64: e101422. DOI:10.1016/j.erss.2019.101422.

Xu Z, Fang C, & Ma T (2020). Analysis of China's olefin industry using a system optimization model considering technological learning and energy consumption reduction. Energy 191: e116462. DOI:10.1016/j.energy.2019.116462.

Louwen A, Edelenbosch OY, van Vuuren DP, McCollum D, Pettifor H, Wilson C , & Junginger M (2020). Application of experience curves and learning to other fields. In: Technological Learning in the Transition to a Low-Carbon Energy System. Eds. Junginger, M. & Louwen, A., pp. 49-62 Academic Press. 10.1016/B978-0-12-818762-3.00004-2.

Mayor Rodriguez B (2019). Multidimensional analysis of nexus technologies II: dynamics of traditional and modern irrigation systems. IIASA Working Paper. Laxenburg, Austria: WP-19-013

International Institute for Applied Systems Analysis (IIASA)
Schlossplatz 1, A-2361 Laxenburg, Austria
Phone: (+43 2236) 807 0 Fax:(+43 2236) 71 313