Webinar: Launch of the Policy Database for Energy Sufficiency Feb 16, 2022 News Project about EnSu EnSu Team Publications Sufficiency Policy Database Paper Publications Talks, Panels etc. Videos Contact Invitiation: Presentation of the Energy Sufficiency Policy Database: 16/03/2022, 11:00-12:30 The Energy Sufficiency Policy Database is a policy toolbox for energy sufficiency. It covers the sectors buildings, transport, industry and agri-food. The database can be found on our website, see publications. The Energy Sufficiency Policy Database will be presented at a webinar on 16/03/2022, 11:00-12:30. The event is aimed at experts from politics, administrations and civil society who plan and implement sufficiency policies as well as scientists who model climate mitigation pathways.The Webinar will be held in German. An event for English-speaking participants will take place on 1 April: https://energysufficiency.de/en/2022/03/08/betd22-side-event-policy-database-on-energy-sufficiency/ Please let us know in case you would like to get a short introduction to the database in English. Dial-inMeeting link: https://uni-flensburg.webex.com/uni-flensburg-de/j.php?MTID=mb4129bb9030ff588e0ba4613bd302eb9 Meeting ID: 2730 817 0794 Password: sufficiency Join via video system Dial firstname.lastname@example.org You can also dial 126.96.36.199 and enter your meeting number. Join via telephone +49-619-6781-9736 Germany Toll Access Code: 2730 817 0794 Agenda Introduction Dr. Benjamin Best, Principal Investigator of EnSu Interventions by Prof. Dr. Stephan Breidenbach; Head of Policy & Legal GermanZero Prof. Dr. Manfred Fischedick, Scientific Managing Director of the Wuppertal Institute Presentation of the policy database, evaluations and Q&A session Break-out group discussion Closing statements We are happy to see the database grow. There will therefore be room for discussion and ideas for further development at the event.Raw data: Best, Benjamin, Thema, Johannes, Zell-Ziegler, Carina, & Wiese, Frauke. (2022). Sufficiency Policy Database [Data set]. In F1000Research: Vol. Energy Systems Modelling (V 0.1). Zenodo. https://doi.org/10.5281/zenodo.5846206If you have any queries, please email us at email@example.com.