Dr Alison Gray

Lecturer

Mathematics and Statistics

Personal statement

I belong to the departmental Data Science and Statistics research group and am an associate member of the Stochastic Analysis group. I lecture in statistics, currently multivariate statistics and survey design and analysis. For many years I taught mathematical statistics, and also regression modelling. I have also taught introductory probability and statistics.

My current research interests focus on applications of statistics for honey bee research, and also time series, pattern recognition and machine learning. Recent projects have applied these in environmental science and finance. I have also had research interests in image analysis, applied epidemiology, and SDE models for epidemics. I am a Fellow of the Royal Statistical Society, and a former long term member of the British Machine Vision Association.

I have current journal editorial roles with Insects, International Journal of Environmental Studies, and Frontiers in Bee Science.

I run an annual spring survey of beekeepers in Scotland, collecting questionnaire data to study colony losses over winter and other aspects of beekeeping practice and experience, which I began together with a retired beekeeper colleague in 2006. Since 2010 I have been involved in the COLOSS (Prevention of honey bee COlony LOSSes); www.coloss.org) honey bee colony loss international research association and have been co-chair of its colony loss monitoring group since September 2014. This group co-ordinates colony loss surveys in approximately 40 countries across Europe and beyond. I have been data co-ordinator/analyst of the same group since February 2016.

I was involved in the COLOSS CSI (Citizen Science Investigator) Pollen project for study of pollen diversity across Europe over the 2014 and 2015 foraging seasons, established this project in Scotland, acted as UK co-ordinator, and also as international co-ordinator for a one-year continuation of CSI Pollen in 2016. More recently, I was a partner in the multi-partner EU-funded projects INSIGNIA and INSIGNIA-EU, concerned with citizen science and environmental monitoring though honey bee colonies.

Publications

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Publications

Enhancing time series forecasting : applying cross-validation methods to hybrid models for predicting GCC stock market indices: Alanazi Kamel, Gray Alison; Journal of Risk and Financial Management (2026)
Synthetic varroacides in honey bee colonies : A comprehensive monitoring program across the European Union: Van der Steen Jozef JM, Brodschneider Robert, Brusbardis Valters, Buddendor Bas, Carreck Norman, Danneels Ellen, de Graaf Dirk C, Gratzer Kristina, Gray Alison, Hatjina Fani, Kasiotis Konstantinos M, Kilpinen Ole, Martínez José Antonio, Murcia-Morales María, Martinez-Bueno Maria Jesus, Oller-Serrano José Luis, Pietropaoli Marco, Pinto M Alice, Quaresma Andreia, Roessink Ivo, Tzanetou Evangelia, Vejsnæs Flemming, Fernández-Alba Amadeo R; Environmental Technology & Innovation Vol 42 (2026); https://doi.org/10.1016/j.eti.2026.104861
From knowledge to healthy colonies : global trends in beekeeper information sources and their usage: Morawetz Linde, Widmann Myriam Eileen, Aldea-Sánchez Patricia, Arab Alireza, Ballis Alexis, Brodschneider Robert, Brusbardis Valters, Cadahía Luis, Carreck Norman L, Chantawannakul Panuwan, Charriere Jean Daniel, Chlebo Robert, Cornelissen Bram, Danihlík Jiří, Danneels Ellen, Diéguez-Antón Ana, Dittman Tobias, Dobrescu Constantin, Fedoriak Mariia, Fischer Johann, Gray Alison, Gregorc Ales, Hatjina Fani, Min Oo Hlaing, Kirby Melanie, Kristiansen Preben, Martikkala Maritta, Mazur Ewa, Wu Ming Cheng, Mutinelli Franco, Özkirim Asli, Raudmets Aivar, Scarlett Rod, Vejsnæs Flemming, Williams Anthony, Williams Geoffrey R, Fabricius Kristiansen Lotta; Journal of Apicultural Research (2026); https://doi.org/10.1080/00218839.2026.2635698
Development of a novel imputation framework for PM2.5 particle data in Pakistani cities using machine learning and statistical techniques: Khan Muhammad Asad, Pan Jiazhu, Alshatti Amani, Alsaber Ahmad, Gray Alison; Frontiers in Environmental Science Vol 14 (2026); https://doi.org/10.3389/fenvs.2026.1775982
Honey bee colony loss rates, management practices and risk factors for losses in Cameroon, Kenya, and Ethiopia : insights from the 2023/2024 active beekeeping season: Assefa Freweini, Belayhun Lulseged, Ayalew Workneh, Kumela Teshome, Gidey Jemal, Asefa Meklit, Getu Asasahegne, Abakaru Lisanu, Weleabzgi Goshu, Otieno-Ayayo Z Ngalo, Oyieyo Yudah O, Wambua Mbatha B, Topé Sidonie Fameni, Massing Tchouzeube, Faibawa Esaïe, Kimani James Ng’ang’a, Brodschneider Robert, Soroker Victoria, Gray Alison, Subramanian Sevgan, Nganso Beatrice T; Journal of Apicultural Research, pp. 1-9 (2026); https://doi.org/10.1080/00218839.2025.2594838
Honey bee hives as biomonitors of pesticide environmental pollution. The INSIGNIA-EU monitoring action: Fernandez-Alba Amadeo R, Murcia-Morales Maria, Oller-Serrano Jose Luis, Martinez Jose Antonio, Van der Steen Jozef JM, Brodscheider Robert, Gratzer Kristina, Hatjina Fani, Carreck Norman, Gray Alison, Pinto M Alice, Quaresma Andreia, Roessink Ivo, Buddendorf Bas, Pietropaoli Marco, Kasiotis Konstantinos M, Zafeiraki Effrosyni, Tzanetou Evangelia, Vejsnaes Flemming, Kilpinen Ole, Brusbardis Valters, de Graaf Dirk C, Danneels Ellen; Science of the Total Environment Vol 999 (2025); https://doi.org/10.1016/j.scitotenv.2025.180285