The Mardia Prize


The Mardia Prize was founded by RSS fellow Kanti Mardia to encourage cutting-edge interdisciplinary work by bringing together statistics with other science communities through workshops in emerging interdisciplinary areas. Funding of £3,000-4,000 per year is made available to support workshops that bring statisticians together with other scientific communities and to maintain a sustained focus.

Nominations for 2021 have now closed and we’ll be announcing the recipients early next year.

2019 recipient: Christoph Kronenberg
The winning proposal in 2019 came from Dr Christoph Kronenberg. Christoph plans to hold two workshops bringing together researchers interested in the empirical analysis of mental health economics, particularly early-career academics. These events will be organised in collaboration with the RWI - Leibniz Institute for Economic Research, a leading centre for economic research and evidence-based policy advice in Germany.
 
2018 recipient: Kristin Strokorb, Marie Ekström, and Professor Owen Jones
The winning proposal in 2018 came from three researchers at the Water Research Institute at Cardiff University; Dr Kristin Strokorb, Dr Marie Ekström, and Professor Owen Jones. The team proposes to hold two ‘Workshops on Extremal Trends in Weather (WET Weather)’. The workshops aim to facilitate discussion and build new partnerships between researchers in statistical and environmental science disciplines with an interest in rare and hazardous events. The team were judged to be clear winners; having a very well-planned proposal.
 
2016 recipient: Fiona Underwood
Dr Underwood was awarded the inaugural Mardia Prize in 2016 to part-fund a series of workshops designed to link statisticians with those working on the sustainable management of natural resources for poverty alleviation. These workshops will build on ongoing interdisciplinary programmes such as the Ecosystem Services for Poverty Alleviation (ESPA) which requires knowledge of biological processes, the physical environment, social and economic systems and their interactions.