| Date and Time | Event | Title |
|---|---|---|
| 15 February 2016, 1500–1530 | EPSRC Symposium: Discrete Mathematics & Big Data, St Andrews | Why data collection still matters: a case study from agriculture |
| 25 February 2016, 1615–1715 | Algebra seminar, University of Aberdeen | Association schemes, permutation groups, and their products |
| 15 March 2016, 1450–1530 | DAGStat, Göttingen | Designs for dose-escalation trials: research spurred by a trial that went wrong |
| 9 June 2016, 0930–1010 | 25th International Workshop on Matrices and Statistics, Funchal, Madeira | Association schemes in designed experiments |
| 14 June 2016, 0900–0930 | Model-Oriented Data Analysis and Optimum Design, Hamminkeln-Dingen, Germany | Design keys for multi-phase experiments |
| 16 September 2016, 1600–1700 | Groups and Combinatorics seminar, University of Western Australia | Circular designs balanced for neighbours at distances one and two |
| 29 September 2016, 1330–1400 | Monash and University of Western Australia Symposium In Combinatorics | Relations between partitions: some problems |
| 4 October 2016, 1100–1230 | Statistics seminar, Department of Agriculture and Food, Western Australia | Block designs with very low replication, and other challenges in design of experiments |
| 6 October 2016, 1600–1700 | School of Mathematics and Statistics Colloquium, University of Western Australia | Designs for dose-escalation trials: Research spurred by a trial that went wrong |
| 3 November 2016, 1610–1700 | MSG Design of Experiments Seminar Series, University of Manchester | Crossing, nesting, marginality and Hasse diagrams in designed experiments |
| 9 November 2016, 0900–0930 | Wiener Biometrische Sektion of the Austro-Swiss Region of the International Biometric Society, Medizinischen Universität Wien | The design of blocked experiments when the average replication is very low | 23 November 2016 | Design of Experiments in Medicine meeting of the British and Irish Region of the International Biometric Society | Designs for dose-escalation trials: research spurred by a trial that went wrong |