Are you looking forward to the TAIAO workshop this September? We are! We’ve secured four incredible speakers so far. Here’s a sneak peek at what they’ll be discussing at the event.
Jeremy Wright, Principal Digital Consultant, Beca
TAIAO Community Platform
Join Jeremy in looking ahead at the future of this valuable open-source tool. How can people get involved? What does success look like? How can we get maximum impact and engagement across environmental, data, and software-loving communities?
Varvara Vetrova, Senior Lecturer, University of Canterbury
Machine learning for climate change and biosecurity
How great would it be to easily keep tabs on the presence of invasive species - just by looking at tree health? Or knowing where and when the next climate event might strike to help aid your community response? Varvara will be discussing some of the possibilities and limitations of current machine learning approaches in these spaces.
Tobi Milz, PhD Student, University of Canterbury
Legal citation network for New Zealand
Tobi is looking at the development of a legal citation network in New Zealand, and the capabilities of network analysis tools to support legal research and information retrieval. He’ll be discussing the potential of this network in the space of environmental law and looking at how network science can be harnessed to help us answer questions in this space.
Ding Ning, PhD Student, University of Canterbury
Ding is speaking about his thesis on developing a machine learning framework for predicting anomalies in ocean temperature. He will also consider some of the ecological and socioeconomic meanings of these predictions.
Register now to hear these speakers and more by clicking the link below.
What are the key benefits of the workshop?
Who can come?
Anyone! If you have an interest in addressing environmental issues using data science and AI – then this workshop is for you.
Who’s running it?
The team behind the workshop are Time-Evolving Data Science/Artificial Intelligence for Advanced Open Environmental Science (TAIAO). TAIAO is a government-funded data science programme, which aims to develop new machine learning methods able to deal with large quantities of data in real-time.
TAIAO is led by the University of Waikato, with funding from the Ministry of Business Innovation, and Employment (MBIE), with project partners including the University of Canterbury, University of Auckland, MetService and Beca.
Visit our website to find out more about us and our vision.
Please feel free to forward this invitation on to your team and partners.
Venue: The University of Auckland, Engineering Building, 20 Symonds St
Date: Thursday 1 September 2022
Time: 9am - 5pm
Registration is free but numbers are restricted, so please register to secure your spot. Registrations close Sunday 28 August 2022. For those who can’t make it in-person, the event will be livestreamed. We will post the details on our website closer to the date. You don’t need to register to watch the livestream.