8:30am - 9:00am: Registration
9:00am - 10:10am: Welcome + Keynote 1
10:10am - 10:30am: Morning tea
10:30am - 11:30am: Workshop session one
11:35am - 12:35pm: Workshop session two
12:35pm - 1:20pm: Lunch
1:20pm - 2:20pm: Workshop session three
2:30pm - 3:30pm: Keynote 2
Keynotes
I spend my time teaching stats, coding—then fixing—bugs, pandering to my pets, and making gin. Officially, though, I am Lecturer in Statistics at Waipapa Taumata Rau | University of Auckland. I am currently working on a Marsden Fast-Start funded project that aims to better understand how events cluster in time and space. My work will help explain the underlying mechanisms behind real-world phenomena such as tweets going viral, neighbourhood crime waves, and earthquake aftershocks.
Where the whales sing
Wildlife species are increasingly being exposed to disturbances resulting from human activity. These disturbances may be unintentional, unavoidable, or in some instances the only way to help us understand an animal population. Unfortunately, such exposures may cause individuals to change their natural behaviour. This is something we need to avoid, but first, we need to figure out what the baseline behaviours and demographics of such populations are.
This is where data comes in. We require data to help us infer and interpret animal behaviour and demographics. Yet, these data are typically complicated and the answers we want are obscured. Asking whales to fill out a census is a little difficult! In this talk, I will discuss two case studies highlighting how statistics can help us answer questions about animal behaviour and population demographics. For example, what effect, if any, does military sonar have on the behaviour of beaked whales? How might we use passive acoustic data to estimate the number of sperm whales?
I spend my time teaching and coding too! And making and fixing bugs! I pander to neighbourhood pets and make music and desserts instead of gin. Officially, though, I am a freelance maths and science educator, often working with schools but constantly working with the CODAP team, helping students and teachers get excited about data and developing tools to make interacting with data powerful, easy, and fun.