Panels and Workshops
Panel: Data, Knowledge, Decisions
Stephen Cahoon, Sense-T, University of Tasmania
Tim Gardner, Executive Chairman - Stornoway
Peter Skillern, CEO - Tasmanian Farmers and Graziers Association
Susan Parr, Chair - Tasmanian Chamber of Commerce and Industry
Tim Pauly, Executive Chairman – Marine Culture
An industry panel consisting of four senior executives of Tasmanian companies, chaired by Associate Professor Stephen Cahoon, will explore how they have adopted and are planning to use data and technology to enhance their business decisionmaking. The focus on data, knowledge and decisions will ask the senior executives to reflect on how this has changed over the last 5-10 years, what practices have already been adopted in their businesses, and how they are preparing for the next 5-10 years of digital disruption. This thought provoking session covering transport, small to medium businesses, agriculture and aquaculture will provide an industry edge and perspective on how data and technology is shaping contemporary businesses.
Panel: New Educational Directions for Complex IS in a Fast-paced Digital World
Corina Raduescu, University of Sydney
Contemporary higher education is changing in today’s dynamic environment. Our role as educators is to prepare a future agile workforce that can address problems in an increasingly complex world and an often-uncertain future. To do this we have to embrace several challenges. We need to collaborate closely with practitioners and other key stakeholders, to ensure that the focus of our learning remains relevant in a rapidly changing world. We need to impart to our graduates a diverse skill tool-set which includes problem-solving, communication, agility, design thinking, critical thinking, leadership, self-management, curiosity, and imagination. We need to embrace increasing complexity in the means our educational practices, to include for example MOOCS, blended and flipped learning. We also need embrace this complexity in the content we impart to students, as information systems develop to include new technologies such as, social networks, cloud computing, virtual reality, big data, and artificial intelligence, all of which operate within large, complex information infrastructures. The aim of this panel is to engage in discussion on innovative and effective strategies for Information Systems (IS) curriculum, course design, pedagogy and practice required in the Digital era. We will explore the following topics:
- In a rapidly evolving job market, how do we equip our graduates with new types of skills and abilities (e.g., agility, complex problem solving, creativity, innovation, inter-disciplinary knowledge), and how do we assess the attainment of such skills?
- What do we need to successfully teach complex concepts, processes, systems and infrastructures within dynamic socio-technical organisations and environments?
- Do the current structures of our degrees (narrowly focused courses and siloed majors) support this need for inter-disciplinary education? Is there a way forward to changing these archetypal structures to break down the silos?
- How can we leverage learning environments, MOOCs, virtual reality, artificial intelligence and other technologies for teaching and learning, e.g. with automated assessment or virtual-reality-based interactive case studies?
What incentives, structures, and processes do we need to successfully collaborate and engage in co-design and Work-Integrated Learning (WIL) with industry partners? The focus of the traditional University model is research engagement, but what do we need in place to successfully set up long-term education engagement?
Panel: What should I be researching? (And can I actually do that?)
Mike Seymour, University of Sydney
This panel will discuss the issues that face researchers and students as they explore an academic research program in Information Systems. It will explore the major areas of research, publishing, and the relationship of research to industry. Specifically, the panel will address the following questions, among others:
- What should I research?
- Do journals reflect our interests or define them?
- Who are these reviewers anyway and aren't they themselves facing the same issues I do?
- Does my research need to have real-world relevancy for actual people?
- Can publishable research be fun?
An international panel of senior, as well as young career academics, will debate and answer these questions in the style of the ABC’s Q&A program. Rather than a series of formal presentations, we will explore and debate the issues facing someone considering a research agenda in Information Systems.
Attendees will hear from our experienced panellists about: how to decide what to research, how to create significant and impactful research, publication tricks and how this all relates to actual business.
Some aspects of the panel discussion will apply to interdisciplinary education and/or research. Broad issues such as: the types of research, relevance, how to explore research that is interesting to you and the world. This panel discussion builds on last year's 2016 successful panel with the same format.
Panel: Improving data analytics in the health sector
David Deacon, Tasmanian Health Service
Technology advances are now challenging the traditional paper or best-of-breed systems approach used by healthcare providers. As healthcare costs continue to spiral, administrators and clinicians look for new ways of using information to assist in improving and providing more evidence based patient care. As more and more electronic systems are implemented, there has been an explosion in data and rapid development of analytical tools and techniques. This, when combined with increasing demand for Commonwealth compliance and national benchmarking, is bringing about a “perfect storm” in the healthcare industry.
The panel will reference experience with the Statewide Clinical & Financial Analytics Unit in the Tasmanian Health Service as it looks to explore and debate these issues. The panel seeks to address the following questions:
- Should analytics be decentralised to the clinical level or centralised in data analytic centres?
- What are the drivers and requirements for change in analytics (eg big data, visual analytics)?
- How would access to high end analytics enable clinicians to better serve their patients and the whole community?
- Can new or smarter models of care be driven by centralised analysis?
- Patient care or analytics, which one is the driver?
The panel members will share their knowledge; provide information around opportunities and barriers, and illicit responses that are intended to provide direction. It is our aim to foster and encourage constructive dialogue and discussion between participants and panel members, examining how to accelerate and progress improvement across the data and information space.
Panel: Research and business intelligence: Driving an improvement agenda across education sectors
Professor Natalie Brown, University of Tasmania
The transformative power of education is widely recognised. A more robust national evidence base for effective policy and program development will assist in meeting national education objectives and lift national productivity. Yet, collecting the data and building the evidence base with meaningful information to support decision making is mired in complexity. The panel will reference a small-scale pilot in a regional Tasmanian community to facilitate engagement in a discussion of the broader challenge for researchers, policy makers, and education systems.
A multidisciplinary panel of senior government and university leaders, as well as experienced and early career researchers will share their perspectives on the impediments and opportunities to leverage data to develop a robust evidence base in Australia. Rather than a series of formal presentations we will encourage a constructive dialogue and discussion between participants and panel members to examine how to drive an improvement agenda across education sectors.
Tutorial: Smart Internet of Things Ecosystem for Smart Cities: State-of-the-art for IS researchers and practitioners
Arkady Zaslavsky, Data61, CSIRO
The Internet of Things (IoT) is part of Future Internet and will comprise many billions of Connected Smart Objects (CSO) or “things” where things can sense, communicate, compute and potentially actuate as well as have intelligence, multimodal interfaces, physical/virtual identities, attributes. The IoT will enable many information services, applications and systems while at the same time it will challenge traditional approaches to designing, developing and implementing information systems, the ways users will interact with smart things. The Internet of Things (IoT) brings opportunities to create new services and products, reducing costs for societies, and changing how services are sold and consumed.
IoT-produced big data will challenge the traditional approaches to data management. Some of the typical areas that produce big data are smart cities, meteorology, genomics, physics, simulations, biology and environmental science. Some of the potential application areas of big data analytics include smart homes, finance, log analysis, security, traffic control, telecommunications, search quality, manufacturing, trade analysis, fraud and risk. Smart cities is an emerging paradigm which is characterized by high diversity of applications, interoperability challenges, policy issues, data availability, big data and data access openness, challenges of deploying IoT infrastructure, diverse and heterogeneous data sources, cross-domain analytics and many other challenges.
Tutorial participants will be presented with the state-of-the-art in IoT, IoT-generated big data, IoT-enabled smart cities, and various IoT enablers, including reasoning engines, context-awareness and mobile analytics. The tutorial will focus on context-awareness as the major contributor to smartness of IoT and enabler of real-time decision support. Participants will learn about one of Data61, CSIRO, Australia projects in IoT and smart cities, namely, the EU Horizon-2020 project bIoTope (www.biotope-project.eu ) – building IoT Open Innovation Ecosystem for connected smart objects. The primary focus of bIoTope is on enabling Smart City applications with smart ecosystem. Some of the pilots include cities of Helsinki, Lyon and Brussels, as well as a major car manufacturer. The tutorial will conclude with presenting the bIoTope ecosystem with demos of use cases and core components.
Tutorial: Design Science Research: A Hands-on Tutorial
John Venable, Curtin University
This workshop is an applied tutorial, aimed at novice and experienced researchers who wish to learn more about Design Science Research (DSR) and/or to develop and progress their own DSR work. During the workshop, the attendees will be introduced to various DSR concepts and current trends, to create a coherent perspective on DSR and its relationship to other research paradigms. Attendees will also be introduced to four specific and applied techniques for planning, conducting, and managing DSR, which were developed (often co-developed with others) by the workshop presenter. As time permits, they will also be introduced to a web-based tool (DScaffolding, also co-developed by the presenter) that supports learning and conducting DSR.
The workshop will be held over three 1.5 hour sessions over the course of one day:
Part 1: Introduction to Design Science Research and CCM4DSR – Coloured Cognitive Mapping for DSR Problem Analysis and Solution Identification (with DScaffolding support)
Part 2: MEDS – The Methodology for Evaluation in DSR (with DScaffolding support)
Part 3: RMF4DSR – The Risk Management Framework for DSR (with DScaffolding support) and TRiDS – Treatments for Risks in Design Science
When covering applied techniques, both to further attendees’ learning and to develop their research, attendees will be invited to apply the techniques to their own ongoing, planned, or potential DSR research projects. The presenter will be on hand to assist participants in planning their research and answering questions about the application of the techniques to the participants’ own research.