Hello,
Please find below the information on a super interesting, interdisciplinary talk that is supported through our SAFIRE programme:
Dear all,
We are very excited to invite you to the keynote speech by MV Eitzel on community-based modelling for socio-environmental sustainability. This talk will kick off a three-day workshop, titled From Model to Method: Reflexive and Inclusive Environmental Modelling in Peatland and Water Managment, funded by Eudaimonia, and will be open to all.
When and where: Tuesday, 9 December, 9:00 - 10:15, Stage, Tellus.
Short description of the talk: How can models and data science serve community needs and the larger public good? Often this requires training and experience outside typical science curricula and research team norms. In my keynote, I will share some of the insights I've gleaned from working on interdisciplinary teams of biophysical and social science researchers, and how these skills relate to being able to work with communities so that models bring benefit rather than harm. Through interdisciplinary synthesis and discussion, thoughtful self-evaluation, and group intention-setting and implementation of best practices, we can move our projects towards doing the work in the world that we intend it to do.
Speaker bio: MV Eitzel is a community-based modeler working at the University of California, Berkeley and University of California, Davis. MV's research sits at the intersection of data science, Science and Technology Studies, and community-based participatory work -- focusing on finding the right technologies for community questions and understanding how we can do work that supports the long-term flourishing of people and their environments.
We are looking forward to seeing as many of you as possible! Selen
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Selen Eren, PhD Postdoctoral researcherhttps://www.oulu.fi/en/researchers/selen-eren In the Shadow of Carbon Project, Cultural Anthropology Department, University of Oulu, Finland
Elected Council Member of the European Association for the Study of Science and Technology (EASST)https://easst.net/