IIASA recently instituted a new system of awards to recognize outstanding contributions towards meeting the strategic priorities and values of the institute. We are proud to announce that five IIASA research activities have been recognized in the inaugural 2022 award cycle.

The IIASA Recognition Awards are given to IIASA research activities that contribute notably in four areas, namely: Originality, Addressing Emerging Challenges, Breakthrough Partnerships, and Public Engagement.

A total of 24 very high quality applications were received for the first award cycle, making the task of the evaluation committee very challenging. In the case of Breakthrough Partnerships, there were two applications that scored exceptionally high, leading the committee to award both submissions.

The award winners for this year are:

Originality Award

In this area, novel research on dealing with carbon debt by operationalizing the net-negative carbon economy by Johannes Bednar and Artem Baklanov, who are both researchers in the Exploratory Modeling of Human-Natural Systems Research Group of the IIASA Advancing Systems Analysis Program, came out on top.

Addressing Emerging Challenges Award

This award went to impactful IIASA research on integrated solutions for biodiversity using novel spatial planning and integrated assessment modeling methods by Biodiversity, Ecology, and Conservation Research Group Leader, Piero Visconti, and David Leclere, a researcher in the Integrated Biosphere Futures Research Group. This work informs the Global Biodiversity Framework under the Convention on Biodiversity and feeds into numerous global assessments and reports on biodiversity.

Breakthrough Partnerships Award

This award was jointly bestowed on two projects. The first of these is the Citizen Science for the Sustainable Development Goals Ghana Project by Dilek Fraisl and Linda See, both researchers in the Novel Data Ecosystems for Sustainability Research Group of the Advancing Systems Analysis Program. The second winner is a collaborative project on next generation agent-based models for Canada (CAN-ABM) undertaken as part of a partnership between IIASA and the Bank of Canada to enable better projections and inform monetary policy, led by Exploratory Modeling of Human-Natural Systems Research Group Leader, Sebastian Poledna.

Public Engagement Award

This award went to the work on policy exercises and capacity building through the Water-Food-Energy Nexus Game undertaken by Piotr Magnuszewski, a researcher jointly associated with the Water Security Research Group in the IIASA Biodiversity and Natural Resources Program and the Equity and Justice Research Group of the Population and Just Societies Program, and Junko Mochizuki and Barbara Willaarts, both researchers in the Water Security Research Group.

Please join us in congratulating all the winners. We would also like to extend our congratulations to all the other applicants for their excellent work in these domains and beyond.

News

Planet earth from the space at night

05 May 2022

Identifying global poverty from space

Despite successes in reducing poverty globally in the last two decades, almost one billion people are still living without access to reliable and affordable electricity, which in turn negatively affects health and welfare, and impedes sustainable development. Knowing where these people are is crucial if aid and infrastructure are to reach them. A new IIASA-led study proposes a novel method to estimate global economic wellbeing using nighttime satellite images.
Abstract background with golden stream, stars

29 April 2022

Brian Fath receives Board of Regents Faculty Award

Senior IIASA researcher and Young Scientists Summer Program (YSSP) Scientific Coordinator, Brian Fath, has received the 2022 University System of Maryland Board of Regents Faculty Award for Excellence in research, scholarship, and creativity.
Aerial shot of a tropical forest with cut wood logs

01 April 2022

Crowdsourcing campaign identifies drivers of tropical forest loss

To combat forest loss in the tropics, a new study uses crowdsourcing to identify the drivers of deforestation. The resulting dataset can be used to create high-resolution maps and help policymakers apply the best protection measures.