The advent of the internet has been both a blessing and a curse for once marginalised communities. When used well, the internet can be used to connect and establish communities crossing different intersections; however, it can also be used as a tool to alienate people and communities as well as perpetuate hate, misinformation, and disinformation especially on social media platforms. We propose steering hate speech research and researchers away from pre-existing computational solutions and consider social methods to inform social solutions to address this social problem. In a similar way linguistics research can inform language planning policy, linguists should apply what we know about language and society to mitigate some of the emergent risks and dangers of anti-social behaviour in digital spaces. We argue linguists and NLP researchers can play a principle role in unleashing the social impact potential of linguistics research working alongside communities, advocates, activists, and policymakers to enable equitable digital inclusion and to close the digital divide.

This report investigates an unsupervised, feature-based image matching pipeline for the novel application of identifying individual k\=ak\=a. Applied with a similarity network for clustering, this addresses a weakness of current supervised approaches to identifying individual birds which struggle to handle the introduction of new individuals to the population. Our approach uses object localisation to locate k\=ak\=a within images and then extracts local features that are invariant to rotation and scale. These features are matched between images with nearest neighbour matching techniques and mismatch removal to produce a similarity score for image match comparison. The results show that matches obtained via the image matching pipeline achieve high accuracy of true matches. We conclude that feature-based image matching could be used with a similarity network to provide a viable alternative to existing supervised approaches.

OPINION: Last week about 60 rally teams, close to 500 volunteers and a small organising group staged the Targa Rally of New Zealand. Billed as the ultimate road race, this year's Targa was the 25th running of the iconic event which sees close to 1200 km of public road closed and turned into race-track. Last May my Targa team were doing great until stage three of the second day when some Gentle Annie shingle shredded the Kevlar cambelt on our Type R, rapidly followed by 16 valves and four pistons. So this year we were back with a new top end and a new state of tune. And the good news is that it worked.

OPINION: Last week about 60 rally teams, close to 500 volunteers and a small organising group staged the Targa Rally of New Zealand. Billed as the ultimate road race, this year's Targa was the 25th running of the iconic event which sees close to 1200 km of public road closed and turned into race-track. Last May my Targa team were doing great until stage three of the second day when some Gentle Annie shingle shredded the Kevlar cambelt on our Type R, rapidly followed by 16 valves and four pistons. So this year we were back with a new top end and a new state of tune. And the good news is that it worked.