Looking to sign up to a workshop? Once you have completed your ResBaz Registration, you can book your workshop places.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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):
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:
This workshop will cover using web archiving as a data collection method for the web and social media in research projects. It will cover:
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.
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.
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:
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.
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:
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
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:
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.
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:
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.
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.
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:
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.
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.
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:
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!
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.
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.
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.
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:
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.
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.
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.
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.
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.
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.
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: