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DTSTART;VALUE=DATE:20221205
DTEND;VALUE=DATE:20221208
DTSTAMP:20260503T150925
CREATED:20221123T082721Z
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SUMMARY:XV REUNIÓN DE BIOLOGÍA VEGETAL CHILENA
DESCRIPTION:More info here: https://biologiavegetal.cl/
URL:https://globalplantcouncil.org/event/xv-reunion-de-biologia-vegetal-chilena/
CATEGORIES:Plant Science
ATTACH;FMTTYPE=image/jpeg:https://globalplantcouncil.org/wp-content/uploads/2019/05/15442197_596437100480891_8624526746020855258_n-e1556906688607.jpg
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20221207T090000
DTEND;TZID=Europe/London:20221207T100000
DTSTAMP:20260503T150925
CREATED:20220907T163340Z
LAST-MODIFIED:20220907T163340Z
UID:17009-1670403600-1670407200@globalplantcouncil.org
SUMMARY:Machine learning in plant–pathogen interactions: empowering biological predictions from field scale to genome scale
DESCRIPTION:Machine learning (ML) encompasses statistical methods that learn to identify patterns in complex datasets. Here\, Jana reviews application areas in plant–pathogen interactions that have recently benefited from ML. She provides an under-the-hood glance into her developed suite of ML-based tools for pathogen effector prediction such as EffectorP. Jana will discuss common pitfalls and challenges she encountered during the development of ML approaches. Finally\, she will highlight future opportunities for ML as a tool for dissecting plant–pathogen interactions\, for example through integration of AlphaFold predictions or ML-driven effector gene annotation. \n—— \nJana is a bioinformatician interested in the interactions between plants and their pathogens. Her work involves using computational techniques to gain new insights into plant–pathogen relationships\, and her contribution includes widely used software tools for fungal effector prediction using machine learning. She completed a M.Sc. in Computer Science with a focus on Bioinformatics at the University of Freiburg\, Germany. In 2008\, she commenced a Ph.D. at the University of Western Australia in which she developed novel methods for the computational prediction of non-coding RNA structure. In 2012\, she joined CSIRO as a Postdoctoral Fellow to work on plant-pathogen interactions. In 2018\, she joined the Australian National University as a Research Fellow at the Biological Data Science Institute and was awarded a 2019 ARC Discovery Early Career Researcher Award (DECRA) to uncover how rust fungi cause devastating plant diseases. In 2021 she joined CSIRO as a Senior Research Scientist where she leads the Data Intensive Approaches team. Jana’s Tansley insight ‘Machine learning in plant–pathogen interactions: empowering biological predictions from field scale to genome scale’\, focuses on machine learning (ML) applications in areas in plant–pathogen interactions and highlights benefits and challenges in using ML approaches.
URL:https://globalplantcouncil.org/event/machine-learning-in-plant-pathogen-interactions-empowering-biological-predictions-from-field-scale-to-genome-scale/
LOCATION:Online
CATEGORIES:Plant Science
ATTACH;FMTTYPE=image/png:https://globalplantcouncil.org/wp-content/uploads/2022/09/New-Phytologist-Now-Logo-with-strapline-transparent-background-e1662567585364.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20221207T140000
DTEND;TZID=Europe/Madrid:20221207T153000
DTSTAMP:20260503T150925
CREATED:20221123T095249Z
LAST-MODIFIED:20221201T173209Z
UID:17552-1670421600-1670427000@globalplantcouncil.org
SUMMARY:Farmers-Scientists panel on Climate-Smart Agriculture
DESCRIPTION:Organized joinly by The Global Plant Council and WIKIFARMER. \nFour scientists\, working on staple crops of huge economical and food safety importance\, will present the latest climate-smart agriculture ideas to farmers. Each expert will focus on one particular staple crop: wheat\, corn\, potato\, and rice. \nAgenda and Confirmed Panellists:\n• Welcome by Isabel Mendoza (The Global Plant Council) and Stella Provelengiou (Wikifarmer)\n• Introduction by Bill Davies\, Lancaster Environment Centre\n• Climate-Smart Agriculture solutions\n– Matthew Reynolds (Cimmyt) – Wheat\n– Christian Bachem (Wageningen University and Solynta) – Potato\n– Yu Wang (University of Illinois) – Maize/corn\n– TBD – Rice\n• Q&A \nTo register: https://us02web.zoom.us/webinar/register/WN_qO0Yv_aoQGuhynorKNUBjw
URL:https://globalplantcouncil.org/event/farmers-scientists-panel-on-climate-smart-agriculture/
LOCATION:Online
CATEGORIES:Agri-Environment,Agriculture
ATTACH;FMTTYPE=image/png:https://globalplantcouncil.org/wp-content/uploads/2022/11/Panel-Poster-final.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/Madrid:20221216T080000
DTEND;TZID=Europe/Madrid:20221216T170000
DTSTAMP:20260503T150925
CREATED:20221216T090729Z
LAST-MODIFIED:20221216T091245Z
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SUMMARY:Decolonising and Diversifying Biosciences Education
DESCRIPTION:There is an urgent need to re-consider this\, and to adopt a more diverse and decolonised approach. This meeting will examine how we teach the Biosciences through an equality and diversity lens. \nTopics will include the historical legacies of colonialism on the Biosciences\, the need to adopt more diverse and inclusive examples\, ableism within the curriculum\, awarding gaps for disadvantaged students\, and how Biology education can better incorporate international perspectives. \nThe meeting will also include student perspectives\, and the emotional implications of receiving a non-inclusive education. The meeting will encourage delegates to consider their own teaching practices\, and to identify ways in which they could become more inclusive. This meeting therefore aligns closely with both the ‘Teaching and Learning’ and ‘Equality\, Diversity and Inclusivity’ aims of the OED section.
URL:https://globalplantcouncil.org/event/decolonising-and-diversifying-biosciences-education/
LOCATION:Cambridge\, Cambridge\, United Kingdom
CATEGORIES:Other Skills,Policy
ATTACH;FMTTYPE=image/jpeg:https://globalplantcouncil.org/wp-content/uploads/2022/12/OED-Symposium-Banner560x164px-MASTER.jpg
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