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Images for learning; more images...

Images, UC QuakeStudies

A photograph of a community member leading a group of children who are playing drums. On the wall behind the man there is a piece of traditional Pacific-island flax weaving. The photograph was taken at the Tiny Adventures launch at Niu Early Learning Centre in Linwood. Niu Early Learning Centre is managed by the Tongan Canterbury Community Trust. The Tiny Adventure card packs and smartphone app offer ideas, games and quick fun ways for parents to spend time with their children. They are a project of the All Right? mental health campaign.

Images, UC QuakeStudies

Lei Zhang, a member of the University of Canterbury's E-Learning team, in their temporary office in the University Printery building. The photographer comments, "The University restarts its teaching, and the techies in e-learning move out of NZi3. We are sharing an office at the printery building. Richard Holliday and Aimee Leaning do their pre-press and outsourcing work, while Lei configures a new video streaming system".

Images, UC QuakeStudies

Members of the University of Canterbury's E-Learning team, Jess Hollis, Alan Hoskin, Paul Nicholls and Susan Tull, in their temporary office in the NZi3 building. The photographer comments, "University of Canterbury administration all fits into one building! Well, sort of. Jess with laptop on side desk, Paul the same on the other side, Susan getting sorted, Alan on the phone. Another day in the e-learning corner".

Images, UC QuakeStudies

A photograph of Anna Mowat of SKIP (Strategies with Kids, Information for Parents - a project of the Ministry of Social Development) , Tracey Tuhi (Mental Health Foundation) and Sue Turner (All Right?) holding a cake in celebration of the Tiny Adventures campaign. The photograph was taken at the Tiny Adventures launch at Niu Early Learning Centre in Linwood. Niu Early Learning Centre is managed by the Tongan Canterbury Community Trust. The Tiny Adventure card packs and smartphone app offer ideas, games and quick fun ways for parents to spend time with their children. They are a project of the All Right? mental health campaign.

Images, UC QuakeStudies

A photograph of preschool children and adults posing for a group photograph with the All Righties and Sue Turner of the All Right? campaign, Christchurch City Councillor Glenn Livingstone, and Anna Mowat of SKIP (Strategies with Kids, Information for Parents - a project of the Ministry of Social Development). The photograph was taken at the Tiny Adventures launch at Niu Early Learning Centre in Linwood. Niu Early Learning Centre is managed by the Tongan Canterbury Community Trust. The Tiny Adventure card packs and smartphone app offer ideas, games and quick fun ways for parents to spend time with their children. They are a project of the All Right? mental health campaign.

Images, UC QuakeStudies

A photograph of a preschool child in a colourful costume placing a flower lei over the head of Anna Mowat from SKIP (Strategies with Kids, Information for Parents - a project of the Ministry of Social Development). Christchurch City Councillor Glenn Livingstone is sitting next to Anna Mowat, wearing a flower lei around his neck. The photograph was taken at the Tiny Adventures launch at Niu Early Learning Centre in Linwood. Niu Early Learning Centre is managed by the Tongan Canterbury Community Trust. The Tiny Adventure card packs and smartphone app offer ideas, games and quick fun ways for parents to spend time with their children. They are a project of the All Right? mental health campaign.

Images, UC QuakeStudies

Members of the University of Canterbury's E-Learning team Lei Zhang and Jess Hollis in their temporary office in the University Printery building. The photographer comments, "The University restarts its teaching, and the techies in e-learning move out of NZi3. Our end of the temporary office; Lei, my desk in the corner, Jess in the other corner (with a window to the admin/reception desk between us), Paul's desk right foreground. (He's home with a cold.)

Images, UC QuakeStudies

An image encouraging people to keep learning. The image depicts an 'All Rightie' reading an e-reader beneath a tree, and reads, "Keep learning." The image was from phase 2 of the All Right? campaign, promoting the Five Ways to Wellbeing. The Five Ways to Wellbeing is a simple, evidence-based approach to improving wellbeing, promoted by the Mental Health Foundation.

Images, UC QuakeStudies

Members of the University of Canterbury's E-Learning team in their temporary office in the James Hight building. The photographer comments, "First looks at our new temporary (maybe) office space. Our group will stay here until April or May 2011, then will move to another floor in the Central Library. First briefing. Warren Marett, an acting manager from Deloittes (with tie), discusses our move with Electronic Learning Media staff; Alan Hoskin, Antoine Monti, Herbert Thomas, Paul Nicholls, and Jess Hollis".

Articles, UC QuakeStudies

A PDF document which discusses the ˜lessons learned by the Christchurch Migrant Inter-Agency group after the 22 February 2011 earthquake. The group was set up to support migrants and refugees following the February 22 earthquake in 2011, and has now been dis-established. However, the Christchurch Migrant Centre continues to co-ordinate services and help migrants settle into life in Christchurch. The purpose of the report is to provide a record of key events and responses of the group in the immediate aftermath of the February 22 earthquake, and to offer some candid discussion and insight with respect to their success or otherwise.

Research papers, University of Canterbury Library

Natural catastrophes are increasing worldwide. They are becoming more frequent but also more severe and impactful on our built environment leading to extensive damage and losses. Earthquake events account for the smallest part of natural events; nevertheless seismic damage led to the most fatalities and significant losses over the period 1981-2016 (Munich Re). Damage prediction is helpful for emergency management and the development of earthquake risk mitigation projects. Recent design efforts focused on the application of performance-based design engineering where damage estimation methodologies use fragility and vulnerability functions. However, the approach does not explicitly specify the essential criteria leading to economic losses. There is thus a need for an improved methodology that finds the critical building elements related to significant losses. The here presented methodology uses data science techniques to identify key building features that contribute to the bulk of losses. It uses empirical data collected on site during earthquake reconnaissance mission to train a machine learning model that can further be used for the estimation of building damage post-earthquake. The first model is developed for Christchurch. Empirical building damage data from the 2010-2011 earthquake events is analysed to find the building features that contributed the most to damage. Once processed, the data is used to train a machine-learning model that can be applied to estimate losses in future earthquake events.

Research papers, University of Canterbury Library

Unreinforced masonry (URM) structures comprise a majority of the global built heritage. The masonry heritage of New Zealand is comparatively younger to its European counterparts. In a country facing frequent earthquakes, the URM buildings are prone to extensive damage and collapse. The Canterbury earthquake sequence proved the same, causing damage to over _% buildings. The ability to assess the severity of building damage is essential for emergency response and recovery. Following the Canterbury earthquakes, the damaged buildings were categorized into various damage states using the EMS-98 scale. This article investigates machine learning techniques such as k-nearest neighbors, decision trees, and random forests, to rapidly assess earthquake-induced building damage. The damage data from the Canterbury earthquake sequence is used to obtain the forecast model, and the performance of each machine learning technique is evaluated using the remaining (test) data. On getting a high accuracy the model is then run for building database collected for Dunedin to predict expected damage during the rupture of the Akatore fault.

Research papers, University of Canterbury Library

The Canterbury Earthquake Recovery Authority (CERA) and the Canterbury Lifeline Utilities Group have collaborated to assemble documented infra- structure-related learnings from the recent Canterbury earthquakes and other natural hazard events over the last 15 years (i.e. since publication of Risks and Realities). The project was led by the Centre for Advanced Engineering (CAE) and was undertaken to promote knowledge sharing by facilitating access to diverse documents on natural hazard learnings, a matter of ongoing relevance and very considerable current interest.

Videos, UC QuakeStudies

A video of the first part of an address by Joseph Thomas, CEO of NZIM Southern, at the 2012 Seismics and the City forum. The talk explores how post-quake Christchurch has become a laboratory for new ways of working and accelerated change, and how it is important for organisations to identify and develop the cadre of new leaders who came to the forefront during and after the February quake.

Videos, UC QuakeStudies

A video of the second part of an address by Joseph Thomas, CEO of NZIM Southern, at the 2012 Seismics and the City forum. The talk explores how post-quake Christchurch has become a laboratory for new ways of working and accelerated change, and how it is important for organisations to identify and develop the cadre of new leaders who came to the forefront during and after the February quake.

Research papers, University of Canterbury Library

Disasters are rare events with major consequences; yet comparatively little is known about managing employee needs in disaster situations. Based on case studies of four organisations following the devastating earthquakes of 2010 - 2011 in Christchurch, New Zealand, this paper presents a framework using redefined notions of employee needs and expectations, and charting the ways in which these influence organisational recovery and performance. Analysis of in-depth interview data from 47 respondents in four organisations highlighted the evolving nature of employee needs and the crucial role of middle management leadership in mitigating the effects of disasters. The findings have counterintuitive implications for human resource functions in a disaster, suggesting that organisational justice forms a central framework for managing organisational responses to support and engage employees for promoting business recovery.

Research papers, University of Canterbury Library

After a high-intensity seismic event, inspections of structural damages need to be carried out as soon as possible in order to optimize the emergency management, as well as improving the recovery time. In the current practice, damage inspections are performed by an experienced engineer, who physically inspect the structures. This way of doing not only requires a significant amount of time and high skilled human resources, but also raises the concern about the inspector’s safety. A promising alternative is represented using new technologies, such as drones and artificial intelligence, which can perform part of the damage classification task. In fact, drones can safely access high hazard components of the structures: for instance, bridge piers or abutments, and perform the reconnaissance by using highresolution cameras. Furthermore, images can be automatically processed by machine learning algorithms, and damages detected. In this paper, the possibility of applying such technologies for inspecting New Zealand bridges is explored. Firstly, a machine-learning model for damage detection by performing image analysis is presented. Specifically, the algorithm was trained to recognize cracks in concrete members. A sensitivity analysis was carried out to evaluate the algorithm accuracy by using database images. Depending on the confidence level desired,i.e. by allowing a manual classification where the alghortim confidence is below a specific tolerance, the accuracy was found reaching up to 84.7%. In the second part, the model is applied to detect the damage observed on the Anzac Bridge (GPS coordinates -43.500865, 172.701138) in Christchurch by performing a drone reconnaissance. Reults show that the accuracy of the damage detection was equal to 88% and 63% for cracking and spalling, respectively.

Research papers, University of Canterbury Library

Disasters are rare events with major consequences; yet comparatively little is known about managing employee needs in disaster situations. Based on case studies of four organisations following the devastating earthquakes of 2010 - 2011 in Christchurch, New Zealand, this paper presents a framework using redefined notions of employee needs and expectations, and charting the ways in which these influence organisational recovery and performance. Analysis of in-depth interview data from 47 respondents in four organisations highlighted the evolving nature of employee needs and the crucial role of middle management leadership in mitigating the effects of disasters. The findings have counterintuitive implications for human resource functions in a disaster, suggesting that organisational justice forms a central framework for managing organisational responses to support and engage employees for promoting business recovery.