TRANSrisk: Side Event at COP22

TRANSition Pathways and RISK Analysis

for Climate Change Mitigation and

Adaptation Strategies

Press Release November 2016


TRANSrisk is an exciting new EU Horizon 2020 project studying the risks and uncertainties that lie ahead as we transition to a low carbon world. Our work examines the technical, economic and social feasibility of potential low carbon transition pathways. The project’s outputs will help countries develop NDCs that complement socio-economic goals and assess risks and uncertainties associated with their potential pathways.


TRANSrisk side event at COP22

18 November 2016, Marrakech, Morocco
Venue: Room Bratislava, European Union Pavilion, Area D, Blue zone of the venue Bab Ighli

TRANSrisk will conduct the COP22 side event entitled: “Assessing mitigation pathway risk and uncertainty: case studies in the Netherlands, Kenya and Chile” on the 18th of November in Marrakech, Morocco.

In this workshop TRANSrisk approach to developing low emission transition pathways, and practical application of this work to a “post-Paris” world will be analysed. More specifically, case studies from the Netherlands, Kenya and Chile will be presented, with the audience invited to participate and give feedback.

You can join this event to gain an overview of how quantitative models and stakeholder input can be used together to develop and analyse transition pathways. Moreover the way that system maps can be used to visualise the technological innovation systems that support pathway development and implementation will be demonstrated.

Confirmed speakers so far are:

Annela Anger-Kraavi (Cambridge Econometrics, UK)

Eise Spijker (JIN Climate and Sustainability, the Netherlands)

Jenny Lieu (Science Policy Research Unit (SPRU), University of Sussex, UK)

Luis Gonzales (Carrasco Pontifical Catholic University, Chile)

Matthew Halstead (Energy Research Centre of the Netherlands)

For more information about TRANSrisk please visit our website or email us at .



The TRANSrisk project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 642260.

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