Skip to Content


No results


No results


No results

Search Results


No results
Search events using: keywords, sponsors, locations or event type
When / Where
All occurrences of this event have passed.
This listing is displayed for historical purposes.

Presented By: Ecology and Evolutionary Biology

EEB Thursday Seminar - Virtual Wagner Lecture: Harnessing the power of big data and artificial intelligence to understand and protect biodiversity

Alexandre Antonelli, Director of Science at the Royal Botanic Gardens, Kew; Professor of Biodiversity and Systematics at the University of Gothenburg; and Visiting Professor at the University of Oxford

Photo Credit: Johan Wingborg, University of Gothenburg Photo Credit: Johan Wingborg, University of Gothenburg
Photo Credit: Johan Wingborg, University of Gothenburg
Our weekly seminar series featuring internal and external speakers in the field of ecology and evolutionary biology. This seminar will be in-person and livestreaming on Zoom (link this page).

In this talk I will summarise collaborative efforts from my research group to unveil the patterns and processes underlying the outstanding biodiversity found today in the world’s tropical regions, with a focus on the American tropics and additional examples from Africa and Madagascar. By comparing the current distribution and evolutionary history of multiple organism groups, we have been able to identify common effects of historical events (such as mountain uplift, climate change and river shifts) on biodiversity. To our aid we use molecular and spatial information from field collected specimens and natural history collections, develop new computational tools and review fossil evidence. I will then discuss how the information we are gaining from the past may help predict the future and identify priorities for conservation in a time of escalating biodiversity loss due to the expansion of agriculture, climate change, invasive species and unsustainable exploitation of natural resources.

Contact for Zoom password at least 2 hours prior to event.

Livestream Information

January 26, 2023 (Thursday) 3:00pm
Meeting ID: 98638167446
Meeting Password: contact for password

Explore Similar Events

  •  Loading Similar Events...
Report Event As Inappropriate
Back to Main Content