Workshop Descriptions

The uses of smart glasses VUZIX in Health Education during a crisis

Coordinator: Dr Anna Basora Marimon

The SARS-COV-2 pandemic has exponentially increased the digitalization of many professional areas. One of them is education since many universities were forced to offer their lectures in an online format. This format is not the most suitable for all learning processes such as those needed to improve manual skills. An example can be found in Health Science careers where students have to learn how to sew a wound, extract blood or perform surgery. Nevertheless, many studies have shown that watching procedural videos in first person improves specific motor skills. To cope with this problem, this workshop aims to show how smart glasses VUZIX can be used to record first-person clinical procedures or broadcast live to a group of students. Another goal of this workshop is to show how smart glasses VUZIX can be used in a crisis when a doctor, nurse or rescue personnel needs the instruction of a medical specialist to implement a specific protocol for a patient in a remote or isolated place.


Harnessing the power of knowledge Graphs for information management during Crisis Response

Coordinator: Jill Bolland

Up to date information is critical for effective decision making during a crisis.  However, this information comes from multiple sources and in multiple formats so that crisis information is often heterogenic, inconsistent and incomplete. This impedes information sharing and the ability to harness machine learning techniques for data-based decisions. Knowledge graphs are intuitive structures specifically designed to store and manage multi-source, heterogenous, interconnected information. Their structure means information can be accessed at speed regardless of the amount of data stored. For users, a knowledge graph can readily show enriched personalized information. They can be built on the fly with real time information and can be easily scaled up.

The workshop will introduce the concepts of a knowledge graph and demonstrate how it can be used during a crisis. The workshop will use a simulated crisis with participants providing data generated in real time and incorporating it into the knowledge graph. During the workshop participants will construct a group knowledge graph and then query the graph for several aspects of crisis response and management.


Listening to the Listeners: Current experiences using social media as a source of information in the public sector

Coordinator: Lucia Castro Herrera

This is a co-creation workshop that through hands-on activities, seeks to showcase results from a series of interviews about the current use of social media as a source of information in organizations offering public services. Different processes will be exposed, and the potential to develop a maturity model will be discussed with the participants. The aim of the workshop is to ensure that social media use is more aligned to current processes present in organizations. We focus on the crisis management cycles experienced by public service organizations (PSO). To do so, the ISCRAM community of practitioners, researchers and social software designers will be exposed to different examples of placement of social media activities and intrinsic characteristics shared among these examples.

While social media use is a highly contextual activity leveraged by PSOs, the social media analytics tools used to aid the extraction, classification, analysis and reporting of insights from publicly available sources (such as social media) are general and rarely customized. This, combined with environmental, organizational, and technical configurations create different ecosystems of practice evidenced in the workshop.

Learning outcomes

  • Understand current examples of social media listening configurations.
  • Understand current challenges and opportunities of improvement of social media use in crisis management.
  • Ideation of possible solutions to current social media use problems in public service organizations.


Accelerated geospatial data processing using Geostack

Coordinator: Dr James Hilton

Geospatial data processing often requires intensive computational calculations, especially for complex models or for high-resolution analytics. The advent of new computer hardware allows such computations to be carried out on consumer-level hardware. However, using this processing power is often difficult in a GIS context, requiring either commercial tools or use of general-purpose libraries unsuited to geospatial data. This workshop will introduce and cover the Geostack open-source geospatial processing library, see,which aims to allow accelerated computational resources to be used in an easy and flexible manner. The library is integrated with other open-source components including Python libraries such as numpy, gdal, xarray, geopandas and netcdf. A range of examples will be covered and some demonstrations of the performance using the library will be shown. These include mathematical models run over unaligned data layers, accelerated geospatial reprojection, conversion of vector layers to and from raster layers, dimensional reduction of data and use of in-built computational solvers. The workshop would be suited to technical GIS users in the fields of risk modelling, remote sensing and the geophysical communities with a background in Python.


Design, Disability, and Inclusion

Coordinator: Professor Claudine Jaenichen

There is a lack of attention and dedication to accessibility. I recognize the work and research I presented contain limited access for all people and that evacuation privilege must be addressed. Consideration for neurodiversity, disabled people, and underserved communities must be standard at the inception of a public-facing information project, including the physical and neurological disabled communities. This workshop introduces basic concepts of inclusive communication and environments, including how to develop a basic accessible systems that utilize websites, PowerPoint, PDFs, and word files.


Invisible duties – Affordances and accessibility in design for emergency management

Coordinator: Klaus Kremer

Contextual design, Visual perception and guided response to emergency technology are fundamental factors to a successful and lasting life cycle of an emergency product. This workshop uses a series of exercises to introduce emergency managers and stakeholders to consider a human-centered and holistic design process during the development of their services. These exercises aim to build a solid understanding of affordances, semiotics and human abilities in states of limited situational awareness. In this workshop we will introduce participants to current design and ideation techniques, rapid prototyping and contextual technology.


Disruptive technologies supporting situation awareness in emergency management

Coordinator: Marion Tan, CRISiSLab, Joint Centre for Disaster Research Massey University

In our modern world we are faced with vast amounts of information and rapid changes in systems and technologies. Technological advancements have disrupted the way we work and live. Technologies also offer opportunities and challenges in improving our response to managing emergencies. This workshop aims to facilitate dialogue between information system and technology researchers and the emergency management professionals. It will bridge research with the technological wants and needs of the emergency management sector in enhancing situation awareness to make effective decisions during a large-scale crisis.

The workshop objectives:

  • Identify information needs and challenges of emergency responders in terms of situation awareness.
  • Discuss and explore cutting-edge research on information and data, artificial intelligence geospatial sciences, sensor technology, human-computer interaction, and others that can fulfil the needs and challenges.
  • Foster dialogue to explore collaboration between research community and emergency sector professionals; to find opportunities in developing disruptive technologies and information systems to enhance response to large-scale events.

What will participation in this workshop involve?

The workshop is designed to run for two hours. It will start with brief presentations on:

  1. overview of understanding situation awareness
  2. some of ongoing cutting-edge research projects in Aotearoa New Zealand, and
  3. current technologies the emergency management sector is using.

This will be followed by an interactive and facilitated discussion on the above objectives.


Data-Informed Emerging Technology Governance for Social Inclusion and Sustainability

Coordinator: Dr Mahendra Samarawickrama

AI for good is an emerging movement that empowers organizations working to solve global challenges to emergency preparedness, humanitarian issues, environment, accessibility, health, and cultural heritage. Many frameworks have emerged to facilitate these initiatives and innovations.

We believe this workshop enables the engagement of a wide community and increases awareness of how interest groups can adapt and get benefit from this innovative framework while serving humanity.


This workshop will create a platform to discuss opportunities, frameworks and solutions in emerging technology and data-informed decision-making processes for disaster preparedness, management, resilience, and community building.

VUCA (volatility, uncertainty, complexity, and ambiguity) is a key challenge and the norm in disaster preparedness, disaster management and community resilience building. The recent humanitarian crises created by the cumulative effects of drought, bushfires, floods and the pandemic have been devastating. Data-informed risk management, strategy development and decision-making are important by leveraging emerging technologies.

In this workshop, we are planning to dive deep into an effective Collaboration Framework for Humanity and Sustainability. AI for good is an emerging movement that empowers organizations working to solve global challenges to emergency preparedness, humanitarian issues, environment, accessibility, health, and cultural heritage. This will promote Responsible AI, which enables organizations to work collaboratively, aligning with their corporate social responsibilities (CSR). Further, this enables adopting AI ethics as an important state in an organization’s AI roadmap which drives AI for serving humanity and future sustainability. We will also present some successful use cases for inspiration. For example, how it helps,

1) Citizen scientists to engage and support data-driven humanitarian initiatives,

2) Strengthening partnerships with the organizations to support humanity and drive social impact as part of their corporate social responsibilities (SCR),

3) Mitigating the risk of climate change to First Nations Peoples. In particular, how it empowered and mobilized the First Nations Peoples as citizen scientists for mitigating their risks related to climate change,

4) Adopting modern science and technologies (e.g., AI and AR) to enhancing the situational awareness around the emergency and disaster locations.