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Department of Computer Science and Technology

 

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


Upcoming seminars

Easter term

  • 03Jul
    Orlando Timmerman, University of Cambridge

    *Abstract*

    Coral reefs are experiencing increasing stress as climate change warms and acidifies the oceans. This is causing mortality events in the least-suitable places, while areas at higher latitudes may become suitable for future growth of reefs and the biodiversity and ecosystem services they provide.
    Present-day conservation measures currently do not account for this biogeographical shift. This project looks for suitability signals in long-term historic and forecast climatological data in an effort to contextualise future conservations efforts.
    In the meantime, a number of side-quests will be explored, ranging from a quantitative meta-analysis of species' responses to climatological shifts to a foray into remote sensing of shallow water habitats.
    This talk is an informal update of my thought processes so far, an invited sanity-check from anyone kind enough to provide it, and a search for future directions of exploration. Questions, criticisms, and suggestions highly desired!

    *Bio*

    Orlando is a second-year PhD student with the AI4ER CDT. Supervised by Oscar Branson (Earth Sciences), he is interested in the opportunities and limitations for modelling marine ecosystems – particularly coral reefs – posed by the data available today.

  • 17Jul
    Julia Gschwind ETH Zurich, University of Cambridge

    *Abstract*

    Stay tuned!

    *Bio*

    Stay tuned!