| 9.20 - 9.30 | Welcome | 9.30 - 10.30 | Thomas Lumley (University of Auckland) Data Science: Will Computing and Informatics Eat Our Lunch Now? |
10.30 - 11 | Break with tea, coffee and biscuits | 11 - 11.45 | Golbon Zakeri (University of Auckland) Analytics, optimization and economics of rain, wind and weather for the NZEM |
11.45 - 12.30 | Tim Robinson (University of Wyoming) A Case Study in Data Science: Mobilizing Data for the Monitoring of Native Grass Composition in the Prairie Pothole Region |
12.30 - 2.00 | Lunch | 2.00 - 2.30 | Miriam Hodge (Lincoln University) Avoiding extreme outcomes in transport |
2.30 - 3.00 | Blair Robertson (University of Canterbury) Connections between local non-smooth optimization and global optimization |
3.00 - 3.30 | Kourosh Neshatian (University of Canterbury) Which learning algorithm is best? |
3.30 - 4.30 | Poster session with tea and coffee |