The Integrated Assessment Modeling Consortium (IAMC) invites you to join a webinar on "15 years of community and science-agenda building: from emissions scenarios to the transformative change", presented by Nebojsa Nakicenovic, former Deputy Director General of IIASA and the recipient of the 2021 edition of the IAMC Lifetime Achievement Award.
Moderator:Jae Edmonds, Chief Scientist and Battelle Fellow at the Pacific Northwest National Laboratory
Abstract: Integrated assessment community played a crucial role in developing emissions scenarios that were the basis for IPCC assessments from the beginning. For me, the idea of IAMC was born in 2007 at a meeting in Aspen Colorado that was followed swiftly by the creation of the Consortium. A unique contribution by the IAMC is the response strategies to the dangerous climate change including the latest analyses of how to go down to net-zero emissions by midcentury.
Today, humanity is facing formidable challenges from war and food insecurity to the pandemic and ever-increasing pressure on the Earth systems including climate change. IAMC community has the possibility and capability to develop transformative pathways that can overcome the challenges and lead to a just future for all on a safe planet. We argue that this can only be achieved through a systemic and holistic approach and is not possible through incremental, detached, and partial solutions. This will require nothing short of a new integrated, systemic, and holistic science to achieve the needed grand transformation – a new transformative integrative assessment (and modeling).
Webinar participation is free of charge and open to all. Each session will last approximately 60 minutes with a 45′ presentation and 15′ for Q&As. Webinar recordings and other shared material will be available on the IAMC website.
The IAMC was created in 2007 in response to a call from the Intergovernmental Panel on Climate Change (IPCC) for a research organization to lead the integrated assessment modeling community in the development of new scenarios that could be employed by climate modelers in the development of prospective ensemble numerical experiments for both the near term and long term.