Paul (Bonno) Bonnington Pro-Vice-Chancellor (Research Infrastructure), UQ
Professor Paul Bonnington joined UQ in 2022 as Pro-Vice Chancellor (Research and Infrastructure) where he is is responsible for the strategic leadership of UQ’s research infrastructure. Paul has decades of experience within research infrastructure in the tertiary sector, providing researchers with access to major computing, software, and analytics capability. He is the former Director of eResearch at Monash University, and established New Zealand's first eResearch program at the University of Auckland.
Digital research infrastructure has become paramount for the advancement of all scientific research and innovation. We explore the fundamental shifts requiring greater coordination and connections across the entire data lifecycle (technology and processes) within and between research organisations. We will highlight the importance of enhancing digital skills across the research workforce and raise awareness of the national research infrastructures to effectively develop and manage connections in Australia.
Rachel Huang Head of Business Development, Vacayit; Business Strategist, SignHow; Senior Research Assistant, UQ, UQ
Rachel Huang is the winner of the Women in Technology Up-and-Comer Technology Award, an entrepreneur who has founded two start-up companies previously and experience as UQ's Chief Student Entrepreneur, and a highly-regarded innovator and thought-leader in the technology start-up ecosystem. She holds a dual degree from UQ in Biological and Chemical Engineering and Biomedical Science, and is addressing the world’s biggest problems through technology and innovation. She is currently a consultant helping research projects commercialise and start-up companies grow. In addition, she serves as a board member at Junior Chamber International Brisbane Chapter where she pursues her passionate about helping young professionals develop their career and find meaningful work.
There are many reasons a researcher should think about the commercialisation of their research, from tangibly solving the world's biggest problems, to creating more industry engagement and increasing funding opportunities in the future. Join Rachel in this session to discover the many reasons why research commercialisation matters, and explore the pathways to commercialise research. This is basically a crash course in research commercialisation mixed with a dash of personal reflections from Rachel’s entrepreneurship and research commercialisation experience so far. The goal of this session is for you to walk away feeling inspired and encouraged and hopefully thinking about how your research can be commercialised.
Networking is an important aspect for the career development of PhDs - both to create collaborations and find future job opportunities. However, it is a softskill not thought in university courses. I facilitate guided networking sessions for organisations and think it will benefit PhDs greatly too. The participants will practise "openness, kindness and honesty" through a series of guided discussions around the following topics:
Robert McLellan Program Manager for the Language Data Commons of Australia (LDaCA); Industry Fellow with the UQ Faculty of Humanities, Arts and Social Sciences, UQ
Robert dhurwain McLellan is a proud Gooreng Gooreng descendant of the Wide Bay region, a community researcher, and an experienced Director, governance and engagement practitioner. A strong advocate for truth telling and speaking up for Aboriginal people’s rights and justice, economic advancement, and to ensure First Nations voices are authentically valued and embraced across all levels of society, Robert is passionate about revitalising Indigenous languages and building culturally inclusive, honourable, and cohesive communities.
Humanities, Arts, and Social Sciences (HASS) research data plays a crucial role in advancing our comprehension of culture, society, and human well-being. In 2020, the HASS and Indigenous Research Data Commons (HASS and I RDC) Program was established with the objective of establishing a comprehensive digital research infrastructure for HASS and Indigenous researchers and communities. Key strands of the HASS&I RDC that have been developed to date include:
This interconnected network of people, data resources, and research tools is bound together by shared technical standards, distributed technical systems, deliberate governance frameworks, open-source tools, and extensive training provisions. It is essential to emphasize that the program is firmly committed to Indigenous data governance and sovereignty, which underpin its fundamental principles. This presentation will anthropomorphise the condition of digital HASS data to highlight the individuals, families and cultural groups represented within ‘people’ data. The audience will gain insights into the challenges associated with reclaiming cultural heritage, achieved through rigorous exploration of Aboriginal languages, stories, art, and identity. Additionally, we will explore the recontextualization of historic research within a contemporary framework.
Michael Milford Director, Centre for Robotics, QUT
Professor Michael Milford conducts interdisciplinary research at the boundary between robotics, neuroscience and computer vision and is a multi-award winning educational entrepreneur. His research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. He is also passionate about engaging and educating all sectors of society around new opportunities and impacts from technology including robotics, autonomous vehicles and artificial intelligence.
Researchers are expected to know their field inside out and be on top of the application domains the research they are doing can benefit. This requirement can be a challenging endeavour at the best of times, but has become extraordinarily chaotic in light of the pace of recent developments in the digital domain, particularly in areas like artificial intelligence, and their increasingly wide reaching consequences. How is our way of doing research being disrupted, both positively and negatively? Are the things we’re researching even relevant anymore, given the rapid change in the application domains where that research might be used? Questions like these can make even the most self-assured researcher doubt their path forwards. A sensible action to take in such circumstances is to ask experienced peers for advice, but what was “sensible” and valid advice even five years ago isn’t necessarily good advice today. In my talk, I’ll present insights and advice, both good and bad, for how to successfully navigate current changes, drawing upon my experiences advising industry, government and research sectors.
Heidi Perrett Data Platform Manager, Ceres Tag
Heidi Perrett has over fifteen years experience in software development and data analysis, combined with a family background in the cattle industry. These two passions have underpinned her success as the Data Platform Manager for Ceres Tag, an innovative Queensland company that provides satellite-linked animal tracking tags to farmers, researchers and conservationists across the world.
What lessons can be learnt when transitioning from a research based environment to a commercial environment and how we at Ceres Tag were able to transform a research product into an international commercial product.
Jack Wang Associate Professor in Microbiology, YouTuber, Podcaster, and Writer, UQ
Associate Professor Jack Wang is an award-winning science educator, Researcher, YouTuber, and podcaster. His work explores science, technology, productivity, and the connectedness of it all. The 2020 Australian University Teacher of the Year, Jack applies his research background towards an interdisciplinary approach to Microbiology teaching. Through this he aims to address the impact of blending online and face-to-face learning activities, and improve the technological and communication competencies that serve as transferable skills for graduates.
Video-based learning is built upon Mayer’s multimedia theory of learning, which emphasises the value of flexible communication skills to lower the burden of cognitive load for diverse audiences. Online multimedia can be leveraged for science communication, but the production of high-quality online resources has significant resource implications. This project evaluated large undergraduate science courses that embedded over 100 hours of video content from 2020-2022 to determine best-practice guidelines for producing effective online multimedia. Participant survey and interview results revealed broad agreement with the value of segmenting information, presenter presence, and mixed perspectives in science videos. However individual student preferences varied on the extent of presenters’ on-screen visibility, use of graphics, and subtitling. Video analytics revealed a decrease in viewer retention as each video progresses, but this rate of decline can be slowed through on-screen text, animations, and camera angle changes. Together this data provides an evidence-based framework for designing science videos that will engage different online audiences and disseminate your research.
Damian Almeida Training and Digital Communications Executive, Gale
Damian Almeida is a Training and Digital Communications Executive at Gale, based in Melbourne, Australia and is responsible for assisting Gale’s Australian, New Zealand and Southeast Asia customers with any training that is required on the Gale product line and is also responsible for The Gale Digital Scholar Lab in the Australian and New Zealand region. He has been with Cengage for over 15years working in sales and production roles prior to joining Gale as a dedicated Trainer.
The 18th Century is often referred to as the Age of Enlightenment however, the age also saw some of the darkest and most violent crimes on a global scale. Slave trading and human trafficking were rampant and on a global scale, empires rose and fell & new nations were born. Using Gale’s Primary Source materials from the 18th Century together with the Gale Digital Scholar Lab, researchers and academics are constantly discovering new details about this Enlightened era.
The Gale Digital Scholar Lab offers a straightforward entry point into Digital Humanities for new researchers and for more experienced scholars, the Lab provides access to large data sets that can be easily mined and exported for use in custom applications and open-source analytical tools. With the Lab, Gale has created a research platform to help bridge the gap that often exists between primary sources that are available in the library and the research needs and workflows of faculty and students.
Digital humanists will be less inclined to bypass the library and seek content from open web sources or create their own data sets through unreliable and painstaking processes. As an extension of your primary source collections, Gale Digital Scholar Lab will encourage the use of archival holdings to support broader research needs.
Betsy Alpert Senior Developer/Data Scientist, at the Digital Observatory, QUT
Elizabeth (Betsy) Alpert is a Senior Developer / Data Scientist at the Australian Digital Observatory, a QUT Research Infrastructure facility. Betsy is a backend software developer by background who loves databases and data modelling and all things data structures. Outside of work, Betsy is likely to be found reading a speculative fiction book with a cat and a cup of tea, or knitting in front of cozy whodunnit tv shows.
Are you wanting to step outside the spreadsheet and try a new way of storing your structured data? In this workshop, you'll learn how to load tabular data into a locally stored database; search, query, and transform your data; and export from that database or connect to it with other tools. All software used will be open source and using standard formats and protocols. No prior experience or coding skills required, but Python and R examples will be additionally available to those who use those languages.
Eve Ansell Business Support Manager, QCIF
Research infrastructure -- the facilities, resources or services that foster and facilitate innovation -- is the invisible foundation underpinning moden research. As an HDR student or ECR -- are you aware of research infrastructure at your institution? What services, resources, and facilities can you access as an HDR? Even more importantly, could you turn research infrastructure into a career?
This two-part workshop will help you answer these questions, and provide information about the secret third career option: not research, not professional, but an excellent option for HDRs across many fields. Firstly, participants will discover (for themselves!) information about their own institutions: what services/training exist, where it’s advertised, how the institution handles RI, and who manages it. Then we will present success stories of people moving from research fields into RI, and help the participants consider if an RI career is right for them.
Mat Bettinson Senior Developer / Data Scientist at the Digital Observatory, QUT
Mat Bettinson is a senior developer / data scientist at the Digital Observatory
This workshop will introduce researchers to tools and methods to collect and analyse YouTube metadata (video title, description, comments, etc.). We will walk attendees through using a open source tool called 'youte' to collect and tidy YouTube metadata, then doing some basic text analytics on the collected data. The workshop is aimed at researchers/students with little to no programming background.
Hosted by an experienced facilitator but an AI noob, this is a participatory workshop guiding attendees through their reactions and thoughts on ChatGPT as researchers and academics. Attendees will be taken through a series of exercises to help them strategise how to manage this and similar technologies in their research and mentorship of more junior researchers. Topics and discussions include:
Christina Buelow Research Fellow, Australian Rivers Institute, Griffith
Christina is a quantitative ecologist trying to solve challenging problems related to conservation and sustainable use of Earth’s ecosystems. She uses models - spatial, statistical, mathematical - to provide a robust evidence-base for decision-makers faced with difficult choices, such as how to set scientifically-sound global targets for mangrove and seagrass conservation. She also enjoys developing web tools to engage and inform end-users.
The goal of this course is to provide introductory training in spatial data processing, visualization, and mapping using R. The course focuses on a small set of popular packages for these tasks, many of which are drawn from a collection of packages called tidyverse. We will explain the new capabilities of packages terra and sf, why they should be used instead of other alternatives such as raster and sp, and how packages with strong dependencies on rgdal, rgeos and maptools (recently archived on CRAN) must be either upgraded to use sf, terra or other alternatives. We'll also create some graphs to summarize the data and explore options for map generation.We will also cover common problems you might encounter in R spatial, and how to solve them.
Karen Cavu HDR Career Educator, QUT
Karen is a highly experienced educator, sessional academic with QUT online, online moderator with the eGrad School, and careers educator with over 15 years' experience in higher education program design and delivery at numerous Australian institutions. Currently studying an MPhil, she holds a master's degree in educational leadership, and post-graduate qualifications in both Career Development and Human Resource Management. She is a Fellow of the Higher Education Academy, and a Professional Member of the National Association of Graduate Careers Advisory Services.
Adding more than a decade spent working in outsourced human resource consulting, recruitment, and training roles, Karen understands the changing world of work across both academia and industry. As a certified leadership coach, she specializes in the provision of careers, peer-to-peer and executive leadership coaching for clients such as the Victorian Government's Digital Jobs Program, Hudson Global, Singapore University, NetExpat, and helloMonday.
Are you an academic who's unsure how to share your research impact or reach wider audiences with your work? Frustrated that industry doesn't speak "academese" and you don't speak "business"? Trying to widen your network online without becoming that person who spams "cringe" posts on social media?
This workshop is for you! We'll talk about how you can:
Come and get a fresh view of your work to inspire the non-academics (and academics!) in your life.
Nicholas Condon Senior Microscopist & Imaging Scientist, UQ
Nicholas Condon is a Chan Zuckerberg Initiative Imaging Scientist and Senior Microscopist within the IMB Microscopy core facility. He completed his PhD in the lab of Professor Jennifer Stow using advanced microscopy techniques to identify a novel mechanism for macropinocytosis and other immune cell surface responses. He is globally recognised as an expert in image analysis and microscopy training, as well as an emerging technologist with expertise in big data processing, analysis and storage. Nicholas works with researchers to help optimise their image analysis workflows by writing and updating code and connecting new infrastructures such as High-Performance Computing to projects.
This workshop provides a foundation to the open-source image analysis program, FIJI (FIJI Is Just ImageJ). It is intended for people who have never used the program before, or require a re-fresher on how to open images, merge channels, perform projections etc.
The workshop will involve worked examples with demo datasets provided but is easily translatable to many different fields with prior workshop participants from fields including Life Sciences, Chemistry, Archaeology, Forensics, Museums & Anthropology and many more.
Topics covered include:
Keeva Connolly Scientific Business Analyst,
Keeva Connolly is a scientific business analyst with the Australian BioCommons, and works full time on the ARGA project. As part of her role, she speaks with researchers to better understand their challenges when searching for genomic data and how they can be addressed. Before starting at the Australian BioCommons, she studied a Bachelor of Genetics (Hons) at the Australian National University and worked for the Department of Agriculture, Water and the Environment (now DAFF) in plant biosecurity.
The Australian Reference Genome Atlas (ARGA) is a recently launched online platform for genomic data discovery across non-human, eukaryotic organisms. It indexes and aggregates data from a range of repositories, including NCBI GenBank, Barcode of Life Data system (BOLD) and Bioplatforms Australia's data portal, enabling users to search across multiple sources from a centralised portal. Where possible, genomic data are intersected with specimen information available from formalised collections (e.g. museums, herbaria) to supplement relevant metadata.
This workshop will feature a demo of the ARGA platform, giving an overview of its uses and allowing time for questions and discussions. The workshop will cover how ARGA can help to:
Mark Crowe Skills Development Manager, QCIF, UQ
Mark leads the Skills Development group at QCIF and runs a program of digital skills training workshops, attended by nearly 3000 researchers annually. He is an Instructor and Instructor Trainer with the Carpentries, an internation coding and data science training organisation, and is the chair of the Carpentries Trainers Leadership Committee.
The Carpentries Instructor Training program is an internationally renowed model for training instuctors to deliver hands-on applied digital skills courses. In this workshop, we will explore some of the key points from this program, which can be easily and immediately applied to help anyone become a better instructor, teacher, or coach.
Emilia Decker eResearch Analyst, Griffith
Emilia has completed her PhD at Griffith University in environmental science and ecoacoustics. Now part of the Griffith University eResearch and Specialised Advisory team, Emilia is passionate about research, science communication and everything related to data.
In this introductory workshop we will overview how and why to use R and RStudio. In this you will also learn the important foundations to setting up a good R Project, how to interact within RStudio and learn the fundamentals of using R for your research.
This workshop is suitable for early career researchers, undergraduates and professionals who have a keen interest to learn how to code in R . This course is very suitable for researchers, students and practitioners who have no or little R experience and coding skills. It is also well suited for people who would like to refresh their coding skills in R.
This workshop is based on the Carpentries course: Data Analysis and Visualization in R for Ecologists.
Adam Ewing Group Leader, Translational Bioinformatics, UQ
A/Prof Adam Ewing leads the Translational Bioinformatics group at Mater Research Institute - University of Queensland. His group develops and applies software tools backed by laboratory expertise to better understand the genome, transcriptome, and epigenome in a broad range of contexts.
This workshop will cover applications of nanopore sequencing that are relevant to human genomics (and would readily translate to other species as well). Topics covered will include basecalling, epigenetic analysis, variant analysis, genome assembly, and long-read transcriptomics.
Andres Felipe Suarez-Castro Lecturer, School of Environment and Science, Griffith
Dr Suarez-Castro is a spatial ecologist who uses a diverse range of spatial statistical techniques, remote sensing and geographic data to predict the ecological causes and consequences of environmental change across spatial and temporal scales. Currently, his research focuses on optimizing the selection of areas that can maximize biodiversity conservation and ecosystem service provisioning across spatial scales in human-dominated landscapes. He is engaged in multidisciplinary projects that require advanced computational skills for handling large databases and complex spatial data, as well as liaising and collaborating with a big range of stakeholders. In addition to his academic outputs that have resulted in more than 1400 citations, Dr Suarez-Castro regularly act in a range of service roles, providing advice to urban and regional planners, environmental consultants, and government institutions.
The goal of this course is to provide introductory training in spatial data processing, visualization, and mapping using R. The course focuses on a small set of popular packages for these tasks, many of which are drawn from a collection of packages called tidyverse. We will explain the new capabilities of packages terra and sf, why they should be used instead of other alternatives such as raster and sp, and how packages with strong dependencies on rgdal, rgeos and maptools (recently archived on CRAN) must be either upgraded to use sf, terra or other alternatives. We'll also create some graphs to summarize the data and explore options for map generation.
The goal of this course is to provide introductory training in spatial data processing, visualization, and mapping using R. The course focuses on a small set of popular packages for these tasks, many of which are drawn from a collection of packages called tidyverse. We will explain the new capabilities of packages terra and sf, why they should be used instead of other alternatives such as raster and sp, and how packages with strong dependencies on rgdal, rgeos and maptools (recently archived on CRAN) must be either upgraded to use sf, terra or other alternatives. We'll also create some graphs to summarize the data and explore options for map generation.We will also cover common problems you might encounter in R spatial, and how to solve them.
Robert Fleet Senior Developer/Data Scientist at the Digital Observatory at QUT, QUT
Robert Fleet is a Data Scientist and Developer at QUT's Australian Digital Observatory. With a passion for analyzing human data on the internet, he designs innovative platforms and tools for this purpose. Robert's unique research interest lies in studying MMO game data, specifically to investigate the structure of organized criminal groups. Prior to his current role, he contributed his expertise as a Data Scientist, E-Research Analyst, and Technical Lead on a cutting-edge drone surveillance project.
This workshop will introduce some ways to use AI as part of analytic pipelines to work with data. Some examples will be used but participants can bring their own data as well.
This workshop (talk with some demo) will introduce LLMs and AI for research. The presentation will talk about what LLMs can and cannot do as well as the risks presented by LLMs for research. This is a low code intro to using AI for research.
This workshop will introduce researchers to tools and methods to collect and analyse YouTube metadata (video title, description, comments, etc.). We will walk attendees through using a open source tool called 'youte' to collect and tidy YouTube metadata, then doing some basic text analytics on the collected data. The workshop is aimed at researchers/students with little to no programming background.
Hosted by an experienced facilitator but an AI noob, this is a participatory workshop guiding attendees through their reactions and thoughts on ChatGPT as researchers and academics. Attendees will be taken through a series of exercises to help them strategise how to manage this and similar technologies in their research and mentorship of more junior researchers. Topics and discussions include:
Rosie Glynn Liaison Librarian (Faculty of Health), QUT
Rosie Glynn is the Liaison librarian for the nursing school at QUT. She has over eight years of experience in searching and methodological advice for evidence synthesis, learning design and digital literacy instruction.
In this workshop learn how to critically assess AI tools that can assist with brainstorming ideas & summarising the literature.
Understand more about how they work, their limitations and discuss the new ways they can be embedded into research practice
David Green HPC Manager, Research Computing Centre, UQ
David majored in physics and applied mathematics at UQ and his first real science job was in environmental modelling for the Queensland Electricity Commission. He has long been using computers to 'figure stuff out' and enjoys working with researchers to help them do the same.
Learn how to enhance your effectiveness in using high-performance computing (HPC) resources, by improving the resilience and utility of your HPC job scripts using shell scripting techniques.
Siddeswara Guru Program Lead, TERN
Siddeswara Guru is the Program lead of the Data Services and Analytics Platform in the Terrestrial Ecosystem Research Network (TERN), an NCRIS capability to collect, collate and publish terrestrial ecosystem data. He helps TERN in the strategic direction, development, and management of eInfrastructure to manage and publish ecosystem science data. Before joining the University of Queensland, he worked in Integrated Marine Observing Systems as Data Scientist and in CSIRO as Data Management Officer and Post-Doctoral Fellow. He earned an MBA from the University of Tasmania and a PhD from the University of Melbourne.
The aim of the workshop is to show case services available at TERN to submit, discover and access ecosystem data across TERN. The participants will learn about services available at TERN and get an overview on how to publish data at TERN, learn to use data dashboards and data discovery portal. The workshop will be interactive and demo-based.
Kathryn Hall Product Champion,
Kathryn Hall is the Product Champion for the Australian Reference Genome Atlas (ARGA) Project, and is part of the Atlas of Living Australia (CSIRO). She has a background in animal taxonomy, with a special focus on marine invertebrates. Kathryn has always worked to integrate genetic data with other biological data to inform her taxonomic process, and is very proud now to be overseeing the ARGA Project team as they build the ARGA platform. ARGA aims to help researchers discover data within biological and ecological contexts for all Australian biota.
The Australian Reference Genome Atlas (ARGA) is a recently launched online platform for genomic data discovery across non-human, eukaryotic organisms. It indexes and aggregates data from a range of repositories, including NCBI GenBank, Barcode of Life Data system (BOLD) and Bioplatforms Australia's data portal, enabling users to search across multiple sources from a centralised portal. Where possible, genomic data are intersected with specimen information available from formalised collections (e.g. museums, herbaria) to supplement relevant metadata.
This workshop will feature a demo of the ARGA platform, giving an overview of its uses and allowing time for questions and discussions. The workshop will cover how ARGA can help to:
This workshop will cover using web archiving as a data collection method for the web and social media in research projects. It will cover:
Marlies Hankel Senior Development and Consultation Manager (RCC) and eResearch Analyst (QCIF), UQ
Marlies Hankel is a eResearch Analysts in QCIF and Research Computing Centre at UQ. She obtained her master in mathematics in Germany and her PhD in chemistry in the UK. She has been a senior research fellow at the Australian Institute for Bioengineering and Nanotechnology and senior lecture in the School of Mathematics at UQ. During this time she was a heavy user of HPC and teaching many students to use HPC in their work. She has built and managed 4 HPC clusters during her time at AIBN. In QCIF and RCC she is helping users navigate HPC and transition their workloads.
Transitioning from running your calculations on a desktop to running them on HPC needs consideration of using the command line, queues and sharing resources. These are the obvious changes. However, there are many small changes like considering where your input and output are coming from and need to be stored, how to get to your output if you are used to seeing it on your screen. This workshop will go through some of these less obvious things that you need to consider and watch put for when moving your calculations from a desktop to a HPC. There is no need to have HPC access as this workshop will use demonstrations that participants can just watch and follow. This is aimed at those with no HPC experience and even those who are only starting out on their journey on doing calculations on their desktops.
Eliza Howard Independent consultant & facilitator,
Eliza is an independent consultant & facilitator. She is a former Fulbright Scholar (2005/2006) who post-PhD became a leader in research education and strategy. As a sole-trader consultant, she leads large projects for clients, hosts workshops for researchers, Higher Degree by Research candidates, and organisations conducting their own research projects, and develops research and project strategy. She was named a LinkedIn Top Voice in 2022 for writing extensively on 'mumemployment' and the complicated intersections between professional and family life.
Hosted by an experienced facilitator but an AI noob, this is a participatory workshop guiding attendees through their reactions and thoughts on ChatGPT as researchers and academics. Attendees will be taken through a series of exercises to help them strategise how to manage this and similar technologies in their research and mentorship of more junior researchers. Topics and discussions include:
Catherine Kim Postdoctoral researcher, School of Earth and Atmospheric Sciences, Queensland University of Technology, QUT
Catherine is a postdoctoral researcher in the School of Earth and Atmospheric Sciences at the Queensland University of Technology. Currently, she is modelling generation of coral rubble across the Great Barrier Reef for the Reef Restoration and Adaptation Program.
The goal of this course is to provide introductory training in spatial data processing, visualization, and mapping using R. The course focuses on a small set of popular packages for these tasks, many of which are drawn from a collection of packages called tidyverse. We will explain the new capabilities of packages terra and sf, why they should be used instead of other alternatives such as raster and sp, and how packages with strong dependencies on rgdal, rgeos and maptools (recently archived on CRAN) must be either upgraded to use sf, terra or other alternatives. We'll also create some graphs to summarize the data and explore options for map generation.We will also cover common problems you might encounter in R spatial, and how to solve them.
In this introductory workshop we will overview how and why to use R and RStudio. In this you will also learn the important foundations to setting up a good R Project, how to interact within RStudio and learn the fundamentals of using R for your research.
This workshop is suitable for early career researchers, undergraduates and professionals who have a keen interest to learn how to code in R . This course is very suitable for researchers, students and practitioners who have no or little R experience and coding skills. It is also well suited for people who would like to refresh their coding skills in R.
This workshop is based on the Carpentries course: Data Analysis and Visualization in R for Ecologists.
Anthony Kimpton Urban Planning Lecturer, UniSQ
Anthony is a quantitative land use and transport planner, and former senior data scientist at the Australian Bureau of Statistics and web application developer for the Australian Transport Research Cloud. His overarching research objectives are to improve the sustainability of communities, cities, and regions through smart, evidence-based land use and transport development and design. He knows very little about rasters but knows his way around points, networks, polygons, big data, and spatial modelling. He is happiest when he can work solely with R, rMarkdown, Shiny, and Docker for microservices, and developing PlanTech that lowers the quantitative expertise barrier in planning and that supports fair and sustainable urban and regional development.
The goal of this workshop is to provide some foundations in chrono-urbanisms and spatial network analyses with OSM and GTFS data to generate isochrones, public transport routes, travel time matrices, shortest network routes all of which can vary according to a range of parameters including transport modes, walking and cycling speeds, tolerable cyclist level of traffic stress, time of departure etc. The packages used will include tidyverse, sf, tmap, and r5r.
Sara King Training and Engagement Lead, AARNet
Dr Sara King is the Training and Engagement Lead for AARNet. She is focused on outreach within the research sector, developing communities of interest around training, outreach and skills development in eResearch. She is passionate about helping others develop the infrastructure and digital literacies required for working in a data-driven world, translating technology so it is accessible to everyone.
Research infrastructure -- the facilities, resources or services that foster and facilitate innovation -- is the invisible foundation underpinning moden research. As an HDR student or ECR -- are you aware of research infrastructure at your institution? What services, resources, and facilities can you access as an HDR? Even more importantly, could you turn research infrastructure into a career?
This two-part workshop will help you answer these questions, and provide information about the secret third career option: not research, not professional, but an excellent option for HDRs across many fields. Firstly, participants will discover (for themselves!) information about their own institutions: what services/training exist, where it’s advertised, how the institution handles RI, and who manages it. Then we will present success stories of people moving from research fields into RI, and help the participants consider if an RI career is right for them.
This workshop will introduce you to Jupyter Notebooks, a digital tool that has exploded in popularity in recent years for those working with data.
You will learn what they are, what they do and why you might like to use them. It is an introductory set of lessons for those who are brand new, have little or no knowledge of coding and computational methods in research.
This workshop will include jargon busting and topics such as network literacy and data movement solutions. You will learn about networks, integrated tools, active research data management, data movement and where all these things fit in the researcher’s toolkit.
By the end of this workshop, you should be able to:
Kasia Koziara Senior Data Analyst, Institute for Teaching and Learning Innovation, UQ,
Kasia is an experienced data professional across multiple sectors: academic, non-profit and government. She is skilled in data extraction, modelling, and analysis with a passion for higher education, STEM outreach and public engagement. She holds a PhD in Computational Chemistry from UQ.
In this workshop we will provide an introduction to R Shiny, and how you can use it to create web apps, and more interactive data visualisations. We will go over how to build a basic Shiny application, and cover the best practices and resources when approaching Shiny.
Caitie Kuempel Lecturer, School of Environment and Science, Griffith
I am a conservation scientist with interests in sustainable seafood, land-sea interactions, and conservation planning. I am passionate about finding ways to meet the needs of the growing human population while minimising impacts on the environment – particularly in the world’s oceans. I completed my PhD at the University of Queensland in protected area design and evaluation, followed by post-doctoral positions at NCEAS UC Santa Barbara mapping impacts of the global food system and University of Queensland exploring ways to manage and monitor climate resilient reefs to benefit people and nature. I also holds degrees in marine biology (M.S.), environmental science (B.S.) and French (B.A.).
In this introductory workshop we will overview how and why to use R and RStudio. In this you will also learn the important foundations to setting up a good R Project, how to interact within RStudio and learn the fundamentals of using R for your research.
This workshop is suitable for early career researchers, undergraduates and professionals who have a keen interest to learn how to code in R . This course is very suitable for researchers, students and practitioners who have no or little R experience and coding skills. It is also well suited for people who would like to refresh their coding skills in R.
This workshop is based on the Carpentries course: Data Analysis and Visualization in R for Ecologists.
Ashar Malik Postdoctoral researcher, School of Earth and Atmospheric Sciences, Queensland University of Technology, UQ
Ashar completed his PhD, in 2018, in the area of computational biochemistry from Massey University in Auckland, New Zealand and has since been working as a postdoc, first at the Bioinformatics Institute at the Agency for Science, Technology and Research in Singapore and currently at Baker Heart and Diabetes Institute, Melbourne and the University of Queensland, Brisbane. His primary work focuses on exploring polymorphisms in the human genome and their phenotypic effects. Additionally he also explores the area of structural phylogenetics and quantum computing. He is also a science communication enthusiast and loves to engage with incoming researchers on potential new computational methodologies that can be employed to enhance the quality of research. He is also an instructor with Software Carpentry and routinely conducts scientific computing workshops. (Twitter/Instagram: @Proteinmechanic)
The area of quantum machine learning is advancing at a rapid pace. This workshop is designed to introduce quantum computing and quantum machine learning to researchers new to this cutting-edge area. This hands-on workshop will start by introducing support vector classifiers from a classical machine learning perspective and then show how quantum algorithms can be used to enhance their performance. At the end of the workshop, the attendees will have a basic understanding of quantum algorithms using IBM Quantum computers and will have run algorithms to improve the performance of classical support vector classifiers using quantum kernels.
Lachlan McKinnie PhD Student, UniSC
I am a PhD student at the University of the Sunshine Coast researching red algal genetics and metabolic pathway reconstruction using bioinformatics. My work involves the functional annotation and investigation of genomes and transcriptomes, and I regularly code in Python for my research, including web design using Python Flask. ORCiD: 0000-0002-4996-5941
ChatGPT has quickly become an incredibly useful tool for coders and data scientists. This workshop will explore using ChatGPT in conjunction with Python programming to generate graphs from numerical data.
Rani McLennan Copyright Information Officer,
Rani McLennan is the Copyright Information Officer at Queensland University of Technology (QUT) and the Open Educational Resource (OER) Collective Project Officer at the Council of Australian University Librarians (CAUL). She has over a decade of experience in public, school, and academic libraries. Her interests include the communication of complex information through text and visuals and openly licensed image collections.
This interactive session will demystify some of the questions you might have about copyright and your research. We will explore how to use other’s copyright material legally, and how to protect your own copyright, touching on AI creations and legal challenges. We’ll take a look at publishing agreements, Creative Commons licensing, provide some strategies on retaining your rights, and more.
Simon Musgrave Engagement Lead for the Language Data Commons of Australia project, UQ
Simon Musgrave is Engagement Lead for the Language Data Commons of Australia (University of Queensland) and an Adjunct Research Fellow (Monash University). Starting as a syntactician specialising in Austronesian languages, his research interests extended to cover areas including language endangerment, communication in medical settings and the use of technology for linguistic research. This last interest, through work on the Australian National Corpus project led to research on the history of Australian English including Irish influences. His work has appeared in journals such as Language, Oceanic Linguistics and the Australian Journal of Linguistics as well as in numerous edited collections.
This workshop will introduce you to Jupyter Notebooks, a digital tool that has exploded in popularity in recent years for those working with data.
You will learn what they are, what they do and why you might like to use them. It is an introductory set of lessons for those who are brand new, have little or no knowledge of coding and computational methods in research.
In the first semester of 2023, the Australian Text Analytics Program (with support from The University of Queensland Graduate School) ran a Graduate Digital Research Fellowship program. The program was open to post-graduate students based in SE Qld; of the four participants, three were from UQ and one was from Griffith. The application process encouraged potential fellows to think of projects which were related to but not directly part of their main research project and which would require them to develop skills in digital research methods. One of the participants also carried out a placement with AARNet under a UQ program for HDR students.
This session will be a panel discussion including the two leaders of the program, our AARNet colleague, and the four fellows, discussing issues including (but not limited to):
Emma Nelms Liaison Librarian (Faculty of Health), QUT
Emma Nelms is a liaison librarian for QUT Business School, Oodgeroo Unit & Carumba Institute, as well as AI champion and Library Workshops coordinator. Her professional interests include digital literacy, decolonisation and empowering users.
In this workshop learn how to critically assess AI tools that can assist with brainstorming ideas & summarising the literature.
Understand more about how they work, their limitations and discuss the new ways they can be embedded into research practice
Boyd Nguyen Queensland University of Technology, Digital Observatory, Research Data Analyst, QUT
Boyd Nguyen is Research Data Analyst at QUT's Australian Digital Observatory and the developer of youte, a tool used to collect YouTube metadata and comments.
This workshop will introduce researchers to tools and methods to collect and analyse YouTube metadata (video title, description, comments, etc.). We will walk attendees through using a open source tool called 'youte' to collect and tidy YouTube metadata, then doing some basic text analytics on the collected data. The workshop is aimed at researchers/students with little to no programming background.
Senn Oon Research Assistant, QUT
Senn Oon (they/them) is studying a Master of Information Science (Extended) at Curtin University with the ultimate aim of becoming a university librarian. By day, you can find them assisting in QCIF's coding workshops and thinking about data management. By night, you can find them making games and cuddling cats.
If you've ever felt like you're a fraud and worried that people will find out sooner or later —
If you feel like you don't belong and you have to work harder than everyone else to try to fit in —
Then come along to this workshop about impostor syndrome and meet others who feel the same way.
Here, we'll discuss what impostor syndrome is, how it affects us, and what we can do to manage it.
If you've discovered a new skill to be excited about at this year's ResBaz and you want to keep learning with the aid of someone else —
If you've found that one of the skills you already have is in demand and you've like to help others learn it —
Then come along to this informal matchup session where you can meet potential mentors or mentees. We'll also discuss key considerations of a mentoring relationship and how to make it work.
To get the most out of this session, we recommend you think of both a field you would like to seek mentoring in, and a field you would be willing to offer mentorship in. It's okay if you're not an expert as long as you're excited to share your skills!
Sonia Ramza User Support Manager for the Nectar Cloud,
Sonia Ramza is the User Support Manager for the Nectar Cloud, previously having been in training & community roles.
Learn more about how you use the ARDC Nectar Cloud to improve your research! A walkthrough will be provided of the different services available & their benefits:
Cameron Rutter University Copyright Officer, QUT
Cameron Rutter is the acting University Copyright Officer at Queensland University of Technology. He has been working in academic libraries for over fifteen years across a wide range of roles.
This interactive session will demystify some of the questions you might have about copyright and your research. We will explore how to use other’s copyright material legally, and how to protect your own copyright, touching on AI creations and legal challenges. We’ll take a look at publishing agreements, Creative Commons licensing, provide some strategies on retaining your rights, and more.
Martin Schweinberger Lecturer in Applied Linguistics, UQ
Martin Schweinberger is Lecturer in Applied Linguistics at the University of Queensland (UQ) and part-time Associate Professor in the AcqVA-Aurora Center at the Arctic University of Norway in Tromsø. At UQ, Martin is co-directing the Language Technology and Data Analysis Laboratory (LADAL) and Chief Investigator of the Australian Text Analytics Platform (ATAP) as well as advisory committee member of the Language Data Commons of Australia (LDaCA). Martin considers himself a quantitative corpus linguist specialized in quantitative, computational analyses of text and speech data.
Sharron Stapleton Research Library Specialist, Griffith
Sharron is a Research Library Specialist at Griffith Library providing training and advice to researchers on finding external data and primary sources for research and preparing data for analysis, visualisation and publishing. Sharron is a certified Data Carpentry instructor and strong supporter of open research for societal benefit and is regularly involved in ResBaz as a trainer.
Learn:
Explore how to structure data in a way that computers can read it. This workshop is based on the Data Carpentry workshop for Social Scientists.
Building on the Introduction to data cleaning with OpenRefine workshop, learn advanced data wrangling skills including combining tabular datasets, geolocating data, and “what if” exploration using OpenRefine.
On completion of this workshop, participants should be able to:
Learn basic data cleaning techniques in this hands-on workshop, working with structured text data and using open source software OpenRefine.
On completion of this workshop, participants should be able to:
Bran Stokes Program Manager at ABCN,
Bran (he/they) has a passion for helping others self-improve. He has a background in both law and journalism and is currently working for a not-for-profit as a facilitator and program manager. As his day-to-day involves upskilling high school students and adults on transferable skills.
Rather than technical upskilling, this workshop focuses on transferable skills that complement research (as well other areas). We will be examining failure, personal strengths and personal values, both in a general context and by way of self examination. There will be a 15-minute Q&A at the end where participants can ask about any transferable (often called 'soft') skills.
Boyd Tarlinton Senior Data Analyst, DAF Qld
Boyd Tarlinton is a Senior Data Analyst in the Supply Chain Innovation team at the Department of Agriculture and Fisheries (Queensland). Boyd has wide-ranging experience in the analysis of biological data, and a passion for reproducible research.
Use tools like Git, Quarto, and renv to ensure that your R code can be shared and reproduced by coworkers, collaborators, and readers. Learn and implement best practices that you can apply to your current and future projects, in R and beyond.
Shern Tee Lecturer at Griffith University, Griffith
Shern Tee is a lecturer at Griffith University who pretends to research molecular dynamics for materials science while secretly infecting his colleagues, students, and fellow academics with the love of experimentation, data management, shell scripting, and jazz. He works hard at helping academics to first adopt Python as much as they can, and then avoid Python as much as they can. (If that doesn't make sense, ask him in person at ResBaz!)
This three-session workshop gives a basic introduction to programming with the Python language -- people with no prior programming experience especially welcome! Participants will get hands-on experience writing a Python notebook to automate some common data analysis tasks. The three sessions will cover how to:
Ideally participants should install Python on their own computers, but browser-based access will be provided as an option. Installation details will be provided soon. The workshop will be based on the Software Carpentry course Programming with Python.
Research data has the most impact when it can be easily shared and reused, benefiting both the individuals who have produced this data and the research community at large. The FAIR Principles help researchers manage their data for widespread reusability, especially in machine-readable ways. The CARE principles extend data management to recognize and empower Indigenous peoples, so that Indigenous data sharing leads to greater innovation and self-determination in their communities.
This workshop will introduce the FAIR and CARE principles and examples of their application at the University of Queensland, followed by a discussion where attendees can reflect on how these principles might apply to their own work.
David Tuffley Senior Lecturer, School of Information and Communication Technology, UQ
David is a Senior Lecturer in Applied Ethics and CyberSecurity at Griffith University's School of Information & Communication Technology. David's research focus is on the social impact of technology, with particular interest in how Artificial Intelligence will affect the world of employment in the coming years. How can people leverage the power of AI to prosper in a changing employment environment. He has published widely in the mainstream media on these topics and is a sought-after "techsplainer" on national radio/TV with a regular segment on ABC Radio Brisbane/Queensland. Since 2005, his global audience reach will be in excess of a hundred million including publications in The Conversation and republished in newspapers like the Washington Post and Chicago Tribune. His work has been translated into German, Chinese, Indonesian and Japanese.
Valentina Urrutia Guada Senior Technology Trainer, UQ
Valentina is a Technology Trainer at the University of Queensland Library
Researchers at any stage of their career, and from every field of knowledge are invited to join us in this brainstorm to openly discuss the theme of skill development in statistics for researchers.
This collaborative discussion aims to unravel the needs researchers face in developing statistical proficiency, while also delving into the array of resources they currently have access to.
The conversation can then progress to identification of gaps, and brainstorm possible resources and opportunities to meet those gaps.
By pooling together insights from varied experiences, we aspire to identify the most effective types of resources and opportunities for breaching those gaps.
Shari Walsh Psychologist and career development practitioner,
Dr Shari Walsh is an experienced psychologist and career development practitioner who has extensive experience working HDR candidates, supervisors and academics. Shari focusses assisting researchers build and maintain positive psychological wellbeing, effective communication and relationship skills, and career confidence during their research roles and beyond. Feedback from Shari's workshops and webinars indicate that attendees highly value her warm and engaging style, her understanding and insight of issues impacting researchers, her practical approach, and the skills and strategies she offers to facilitate optimal functioning.
Do you find your wellbeing gets compromised during the hurly burly research process? How do you look after yourself when you are busy and have multiple demands?
This session focusses on strategies which can boost and maintain your wellbeing in the long term.
Content includes:
Belinda Weaver ,
Belinda Weaver is a science student at The University of Queensland. She collaborated with other Carpentries' instructors to run Software Carpentry workshops in Brisbane from 2015, both standalone and as part of annual Research Bazaar events. She has taught scores of Software Carpentry workshops and a number of instructor trainer workshops. She previously worked as the Community and Communications Lead for Software Carpentry. This lesson is currently being integrated into the Library Carpentry curriculum.
This workshop introduces computational thinking as a precursor to learning how to write code in programming languages like R or Python. It will cover the steps involved in breaking down complex problems into computable chunks.
Nicholas Wiggins Senior Technology Trainer, UQ
Nicholas is a Technology Trainer at the Univeristy of Queensland Library. He has a background in Archaeology, IT, GIS, Ecology, and Palaeoecology. He currently runs the UQ R User Group, and provides training in R, QGIS, Python, Git, and a variety of other research related software. He is always open to learn more.
The goal of this course is to provide introductory training in spatial data processing, visualization, and mapping using R. The course focuses on a small set of popular packages for these tasks, many of which are drawn from a collection of packages called tidyverse. We will explain the new capabilities of packages terra and sf, why they should be used instead of other alternatives such as raster and sp, and how packages with strong dependencies on rgdal, rgeos and maptools (recently archived on CRAN) must be either upgraded to use sf, terra or other alternatives. We'll also create some graphs to summarize the data and explore options for map generation.We will also cover common problems you might encounter in R spatial, and how to solve them.
The UQ R User Group (UQRUG) is a gathering for R users of all skills, to help each other solve problems, to share resources and tips, and to simply hang out with a nice community.
Our main purpose is to serve as a drop-in help session for help with R and RStudio, but to keep things interesting we will briefly highlight a useful tool, function or package each week.
In this special ResBaz edition of UQRUG we will be looking at some Cool but Useless ways we can use R. Coding and acaedmia can get stuffy and work focused, so this month we're going to play with some more entertaining R packages, which can hopefully make the learning process a bit more interesting.
Susan Wilson RDM Specialist, UQ Library, UQ
Susan Wilson is a Librarian and Research Data Management Specialist at the University of Queensland, within the Scholarly Communication and Repository Services team. Susan has been involved in data management since 2013 and is responsible for delivering research support and data management services to researchers, including developing skills to support FAIR data and open research practices.
Research data has the most impact when it can be easily shared and reused, benefiting both the individuals who have produced this data and the research community at large. The FAIR Principles help researchers manage their data for widespread reusability, especially in machine-readable ways. The CARE principles extend data management to recognize and empower Indigenous peoples, so that Indigenous data sharing leads to greater innovation and self-determination in their communities.
This workshop will introduce the FAIR and CARE principles and examples of their application at the University of Queensland, followed by a discussion where attendees can reflect on how these principles might apply to their own work.
Fei Yu Library Project Coordinator, UQ Library, UQ
Mrs Fei Yu is a Research Data Management Specialist in Research Data Services team, UQ Library. She has extensive experience in assisting academics and students in finding and using information in many subject areas. In 2011 she joined Scholarly Communication and Repository Service team working in bibliometrics and then later on in research data management area. She has been providing training and support to research community on how to best practice managing research data and conducting responsible research in accordance with FAIR and CARE principles.
Research data has the most impact when it can be easily shared and reused, benefiting both the individuals who have produced this data and the research community at large. The FAIR Principles help researchers manage their data for widespread reusability, especially in machine-readable ways. The CARE principles extend data management to recognize and empower Indigenous peoples, so that Indigenous data sharing leads to greater innovation and self-determination in their communities.
This workshop will introduce the FAIR and CARE principles and examples of their application at the University of Queensland, followed by a discussion where attendees can reflect on how these principles might apply to their own work.
Min Zhao Senior Research Fellow, Bioinformatics and Genomics,
Dr. Min Zhao has about 20 years of experience in the field of bioinformatics and genomics. His research focuses on the investigation of regulatory machines in aquatic genomes and disease genomes. In addition to 4 review manuscripts, he has published 90 research papers in peer-reviewed international journals including 50 first and corresponding author papers in total. In total, his papers have been cited over 4000+ times (H-index 31). About 50% of his publications are presented in the top 10% most cited papers worldwide in Scopus database. Additionally, ten of his manuscripts have been published in very high profile journals (top 5%; including Nature, Nature communication, cell research, American Journal of Respiratory and Critical Care Medicine, Nucleic Acids Research, Molecular ecology resource). The research articles include author contributions from a diversity of institutions/universities external from USC and International (primarily USA, Japan, China, and Thailand). He currently leads as Chief Investigator 1 ARC Discovery Projects (with USC as administering organisation), and is co-contributor for Reef2050 grant.
A 90 minutes workshop will be held for the phylogenomics analysis on large-scale whole genome data. We will lead participants through a series of computational exercises having the following goals:
- NCBI genome database download (SRA toolkit) and basic Linux command line (wget download).
- Construct orthologous gene assignments using OrthoFinder.
- Display, annotate and visualize phylogenetics trees by using iTOL (Interactive Tree Of Life)
Participants are encouraged to work with their own NGS-based genome/transcriptome datasets, but sample datasets will also be provided and analyzed.
Alex de Sá Postdoctoral researcher at the Computational Biology and Clinical Informatics, UQ
Alex holds a PhD, in 2019, in Computer Science from the Federal University of Minas Gerais (UFMG), Brazil. He is a postdoctoral researcher at the Computational Biology and Clinical Informatics laboratory at the Baker Heart and Diabetes Institute, with an honorary fellowship at the University of Queensland. His research is centered on bio(chem)informatics, health informatics and automated machine learning (AutoML). Particularly, he is interested in automating data science, i.e., employing optimisation methods to select proper machine learning algorithms and models for any dataset of interest. Currently, he is employing this knowledge in chemical, medical and biological data. (Twitter/LinkedIn: @alexgcsa).
The area of quantum machine learning is advancing at a rapid pace. This workshop is designed to introduce quantum computing and quantum machine learning to researchers new to this cutting-edge area. This hands-on workshop will start by introducing support vector classifiers from a classical machine learning perspective and then show how quantum algorithms can be used to enhance their performance. At the end of the workshop, the attendees will have a basic understanding of quantum algorithms using IBM Quantum computers and will have run algorithms to improve the performance of classical support vector classifiers using quantum kernels.
Chun Ouyang Associate Professor, School of Information Systems, Faculty of Science, QUT
Associate Professor Chun Ouyang is the Academic Lead in International and Engagement at the School of Information Systems and an Associate Investigator of the Centre for Data Science at Queensland University of Technology (QUT). She is passionate about applying data science to address real-world challenges, with a particular focus on developing explainable analytics for machine learning models and systems. She is the co-founder and leader of the "eXplainable Analytics for Machine Intelligence" research team (xami-lab.org), driven by a vision to foster fairness, transparency, and trust in data-centric artificial intelligent systems. To date, she has graduated five PhD students and is currently supervising a team of six PhD candidates. Among her research endeavours, she also serves as an assessor for national research grants from the Australian Research Council and international grants from the Netherlands Organization for Scientific Research and the Austrian Science Fund.
Hosted by an experienced facilitator but an AI noob, this is a participatory workshop guiding attendees through their reactions and thoughts on ChatGPT as researchers and academics. Attendees will be taken through a series of exercises to help them strategise how to manage this and similar technologies in their research and mentorship of more junior researchers. Topics and discussions include:
Guido Zuccon Professor, School of Electrical Engineering and Computer Science; Faculty of Engineering, Architecture and Information Technology, UQ
Professor Guido Zuccon is a Professorial Research Fellow at The University of Queensland, Electrical Engineering and Computer Science School, the AI DIrector for the Queensland Digital Health Centre (QDHeC), an Affiliate Professor at the UQ Centre for Health Services Research, Faculty of Medicine, and an Honorary Reader at Strathclyde University (UK). Guido's main research interests are Information Retrieval, Health Search, Formal Models of Search and Search Interaction, and Health Data Science. He has successfully attracted funding from the ARC via an ARC Discovery Early Career Research Award Fellowship and an ARC Discoverty Project. His research has also been funded by Google (Google Research Awards program), Grain Research and Development Corporation (GRDC), Microsoft (Microsoft Azure for Research Award), the CSIRO (research gifts and PhD Students Top-up scholarships), the Australian Academy of Science (FASIC program), the European Science Foundation, and Neusoft Corporation. Guido has published more than 100 peer-reviewed research articles at conferences and in journals, in information retrieval and health informatics, and his research on people using search engines to seek health advice on the web has been widely disseminated by the media.
Hosted by an experienced facilitator but an AI noob, this is a participatory workshop guiding attendees through their reactions and thoughts on ChatGPT as researchers and academics. Attendees will be taken through a series of exercises to help them strategise how to manage this and similar technologies in their research and mentorship of more junior researchers. Topics and discussions include:
Giulio Pitroso PhD Student in Sociology, Griffith
Giulio Pitroso is a PhD student in sociology at Griffith University. He is researching the depiction of organised crime in computer games.
In the first semester of 2023, the Australian Text Analytics Program (with support from The University of Queensland Graduate School) ran a Graduate Digital Research Fellowship program. The program was open to post-graduate students based in SE Qld; of the four participants, three were from UQ and one was from Griffith. The application process encouraged potential fellows to think of projects which were related to but not directly part of their main research project and which would require them to develop skills in digital research methods. One of the participants also carried out a placement with AARNet under a UQ program for HDR students.
This session will be a panel discussion including the two leaders of the program, our AARNet colleague, and the four fellows, discussing issues including (but not limited to):
Kelly Hou PhD Student in Health Sciences, UQ
Kelly Hou is a PhD student in health sciences at UQ. Her research looks at the use of apps in health care.
In the first semester of 2023, the Australian Text Analytics Program (with support from The University of Queensland Graduate School) ran a Graduate Digital Research Fellowship program. The program was open to post-graduate students based in SE Qld; of the four participants, three were from UQ and one was from Griffith. The application process encouraged potential fellows to think of projects which were related to but not directly part of their main research project and which would require them to develop skills in digital research methods. One of the participants also carried out a placement with AARNet under a UQ program for HDR students.
This session will be a panel discussion including the two leaders of the program, our AARNet colleague, and the four fellows, discussing issues including (but not limited to):
Christina Maxwell PhD Student in Psychology, UQ
Christina Maxwell is a PhD student in psychology at UQ who is interested in online discussions of gender.
In the first semester of 2023, the Australian Text Analytics Program (with support from The University of Queensland Graduate School) ran a Graduate Digital Research Fellowship program. The program was open to post-graduate students based in SE Qld; of the four participants, three were from UQ and one was from Griffith. The application process encouraged potential fellows to think of projects which were related to but not directly part of their main research project and which would require them to develop skills in digital research methods. One of the participants also carried out a placement with AARNet under a UQ program for HDR students.
This session will be a panel discussion including the two leaders of the program, our AARNet colleague, and the four fellows, discussing issues including (but not limited to):