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  1. Recycle Week: Waste Seminar

    Recycle Week is an annual campaign by Recycle Now to encourage better recycling in the UK. The Environmental Sustainability and Energy Team are holding a number of events to educate and encourage positive behaviours around waste throughout the week.

  2. MA Art in Science exhibition - 'Fading Footsteps'

    Visual art can be a powerful activist tool to combat biodiversity loss and foster greater emotional regard for non-human animals. This exhibition presents an auto-ethnographical account of a visit to Uganda. Personal meaning maps, paintings and films aim to stimulate awareness of endangered and vulnerable primate species and evoke increased empathy towards supporting conservation.

  3. MA Art in Science exhibition - 'The Speculative Herbarium'

    Despite a long history of preserving plants in herbariums, medicinal plants are often underrepresented in public-facing educational institutions such as museums. The Speculative Herbarium intertwines scientific practices used behind the scenes in herbaria with visual art and poetry, offering an insight into the important preservation work occurring in herbaria.

  4. ARI Seminar: Nikhil Sarin (Stockholm University)

    A neutron star binary merges somewhere in the Universe approximately every 10 to 1000 seconds, creating violent explosions potentially observable in gravitational waves and across the electromagnetic spectrum. The transformative coincident gravitational wave and electromagnetic observations of the binary neutron star merger GW170817 gave invaluable insights into these cataclysmic collisions and fundamental astrophysics. However, despite our high expectations, we have failed to see any other event like it. In this talk, I will highlight what we can learn from other observations of mergers seen directly in gravitational waves or indirectly as a gamma-ray burst and/or kilonova. I will also discuss the diversity in electromagnetic and gravitational-wave emission we can expect for future mergers and showcase tools to help maximally extract physics from existing and future observations.