Congratulations once again to Rachel, for receiving the bronze award, and Byron, for receiving the Barnett award. The virtual RSS 2020 conference has released a video honouring the recipients of its awards for this year
Congratulations to Eleni, whose Ecological Monographs paper on “Model averaging in ecology: a review of Bayesian, information‐theoretic, and tactical approaches for predictive inference”, with Carsten Dormann, Justin Calabrese, Gurutzeta Guillera-Arroita and Florian Hartig, among others, as co-authors, is among the top 10% most downloaded papers!
On 13th March Marina went to Parliament to present her poster on How do bird populations vary across Britain? Spatially-explicit integrated population models, as part of STEM for Britain competition. As stated on the STEM for Britain website, “STEM for BRITAIN Awards are made on the basis of the very best research work and results by an early-stage or early-career researcher together with their ability to communicate their work to a lay audience.” Marina’s poster won silver in the Mathematics category. Well done Marina on this amazing achievement.
The project, titled Studying migration patterns of UK bird populations using Bayesian nonparametric models, was proposed by Dr Eleni Matechou in collaboration with Dr Alison Johnston from the British Trust for Ornithology and Professor Jim Griffin from SMSAS.
Summary of the proposal: The PhD student on this collaborative project will develop and use novel and sophisticated statistical models, namely Bayesian nonparametric models, to understand patterns of bird migration within the UK. The data to be analysed refer to bird species that breed in the UK and spend the winter in Africa. These are collected by the BTO as part of the Constant Effort Sites (CES) monitoring scheme. The analyses will describe the migration patterns, phenology, population sizes and distribution of these species. Links between these demographic parameters and environmental covariates will be explored to explain the mechanisms leading to patterns and changes (for example, climate change leading to earlier migration). The results will also be used to inform conservation management strategies. As well as a number of scientific manuscripts describing the statistical models and the ecological processes, the student will also produce freely-available software that will be used by the BTO in the future and by any interested researchers to fit the models to their own data.
SE@K student Ming Zhou was awarded £500 for attending IBC 2016 in Victoria BC, Canada.
Ming’s application was judged by the Biometric Society and the Fisher Memorial Trust.
As a recipient of a bursary Ming will provide a one page report after the conference summarising how she has benefited scientifically from attendance, to be published on the Regional website.
Congratulations to Ming Zhou who won the runner up prize for her poster at the Royal Statistical Society’s Conference held 7 to 10 September 2015 at Exeter University. Her poster was entitled Novel removal models for amphibian and reptile populations.