This will be a closed group discussion about what EEG members would like from the group.
Energy and Environment Group (EEG)
The Energy and Environment Research Group applies computer science to address renewable energy integration, energy demand reduction, and the assessment and management of environmental impact (e.g. climate change, biodiversity loss, deforestation) from anthropogenic activities.
We operate in an interdisciplinary manner, collaborating with climate scientists, ecologists, engineers, lawyers, regulators, and economists, and conducting wide engagement with external partners to effect evidence-based outcomes.
Goal
Our primary goal is to have a measurable impact on tools and techniques for de-risking our future. To do so, we share recent advances at the intersection of computer science, energy, and the environment through seminars, workshops, and scientific publications. We also help form collaborations between group members to coordinate interdisciplinary initiatives across University departments.
Membership
EEG members are, in the first instance, faculty members in the Department for Computer Science and Technology and their students. We also invite membership from Postdocs, PhDs, Lab Visitors and Master’s students primarily from other departments, as appropriate.
Seminars
A list of talks for the current term can be found below; talks from prior terms are linked to this page. Seminar details can also be found at Talks.cam. Recordings from the EEG seminar series are available to watch online. We thank the Institute of Computing for Climate Science for their sponsorship of this series.
Partners
- Cambridge Conservation Research Institute (UCCRI)
- Institute of Computing for Climate Science (ICCS)
- Centre for Doctoral Training in the Application of AI to Environmental Risks (AI4ER)
- Centre for Doctoral Training in Sensor Technologies for a Healthy and Sustainable Future
- Centre for Earth Observation
- Energy Interdisciplinary Research Centre
Upcoming seminars
Lent term
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24JanHost: Prof Srinivasan Keshav, University of Cambridge
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31JanToby Kiers, SPUN, Vrije Universiteit, Amsterdam
Abstract not available
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14FebCyrill Stachniss, University of Bonn
Abstract not available
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28FebJakob Poffley, University of Cambridge
*Abstract* and *Bio*
Stay tuned!
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21MarEmilio Luz-Ricca, University of Cambridge
*Abstract*
Stay Tuned!
*Bio*
Emilio is a PhD student in the Department of Zoology at the University of Cambridge in the Conservation Science Group and the Energy and Environment Group. He is supervised by Andrew Balmford, with co-supervision from Anil Madhavapeddy and Tom Swinfield. He is also part of the AI for Environmental Risks Centre for Doctoral Training, a researcher at the Cambridge Centre for Carbon Credits, and a member of Churchill College. His research focuses on the uses of predictive modeling for biodiversity conservation, with an emphasis on quantifying species-specific responses to human disturbance.
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28MarJean Martina, Universidade Federal de Santa Catarina
Abstract not available
Easter term
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04AprOnkar Gulati, University of Cambridge
Abstract not available
