1. Home
  2. Materials
Register training material
7 materials found

Authors: Williams, Jason (orcid: 000...  or Mori, Giorgia (orcid: 0000-... 

WORKSHOP: Machine learning in the life sciences

This record includes training materials associated with the Australian BioCommons workshop ‘Machine Learning in the Life Sciences’. This on 11 June 2024.
Event description
Machine learning promises to revolutionise life science research by speeding up data analysis, enabling prediction of...

Keywords: Bioinformatics, Life Science, Machine Learning

WORKSHOP: Machine learning in the life sciences https://dresa.org.au/materials/workshop-machine-learning-in-the-life-sciences This record includes training materials associated with the Australian BioCommons workshop ‘Machine Learning in the Life Sciences’. This on 11 June 2024. Event description Machine learning promises to revolutionise life science research by speeding up data analysis, enabling prediction of biological patterns and modelling complex biological systems. But what exactly is machine learning and when should you use it? This hands-on online workshop provides a high-level introduction to machine learning: what it is, its advantages and disadvantages compared to traditional modelling approaches and the types of scenarios where it may be the right tool for the job. Using example datasets and basic machine learning pipelines we contrast a few commonly used algorithms for constructing predictive models and explore some of their trade-offs. We discuss common pitfalls in how machine learning is applied and evaluated, with a focus on its application in the life sciences, to help you recognise overly optimistic results. We discuss how and why such errors arise and strategies to avoid them. Lead trainer:  Dr Benjamin Goudey, Research Fellow, Florey Department of Neuroscience and Mental Health Facilitators: Dr Erin Graham, Queensland Cyber Infrastructure Foundation (QCIF) / James Cook University William Pinzon Perez, Queensland Cyber Infrastructure Foundation (QCIF) Dr Giorgia Mori, Sydney Informatics Hub, University of Sydney  Joseph McConnell, University of Adelaide Jessica Chung, Melbourne Bioinformatics 0000-0002-0627-0955 Host: Dr Melissa Burke, Australian BioCommons. Training materials Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Schedule (PDF): Schedule describing the timing of sessions for the in person and online events Materials shared elsewhere:   This workshop follows the Google Colab Notebook developed by Dr Benjamin Goudey: https://github.com/bwgoudey/IntroMLforLifeScienceWorkshopR Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Life Science, Machine Learning
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge

This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Machine Learning in R - from data to knowledge’. This workshop took place over one, 4 hour sessions on 09 December 2024.
Event description
With the rise in high-throughput sequencing...

Keywords: Bioinformatics, Machine Learning

WORKSHOP: Introduction to Machine Learning in R - from data to knowledge https://dresa.org.au/materials/workshop-introduction-to-machine-learning-in-r-from-data-to-knowledge This record includes training materials associated with the Australian BioCommons workshop ‘Introduction to Machine Learning in R - from data to knowledge’. This workshop took place over one, 4 hour sessions on 09 December 2024. Event description With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially. A major issue is to mine useful knowledge from these heterogeneous collections of data. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine Learning (ML), a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets, can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics. This hands-on workshop will introduce participants to the ML taxonomy and the applications of common ML algorithms to health data. The workshop will cover the foundational concepts and common methods being used to analyse omics data sets by providing a practical context through the use of basic but widely used R libraries. Participants will acquire an understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Lead trainers: Dr Fotis Psomopoulos, Senior Researcher,  Institute of Applied Biosciences (INAB), Center for Research and Technology Hellas (CERTH) Facilitators: Dr Giorgia Mori, Australian BioCommons Dr Eden Zhang, Sydney Informatics Hub Dr Erin Graham, Queensland Cyber Infrastructure Foundation (QCIF) Infrastructure provision: Uwe Winter, Australian BioCommons Host: Dr. Giorgia Mori, Australian BioCommons Training materials Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Files and materials shared elsewhere: Training materials webpage Data and documentation     Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Machine Learning
Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce

The following recommendations were inspired by the Australian Research Data Commons (ARDC) Digital Research Skills Summit 2023, that brought together Researchers, Learning Designers, Skills Trainers, and Librarians in productive discussions on how to run effective researcher skills training....

Keywords: Training, Training Material, Short Format Training, Digital Skills, Researcher Training, Learning

Ten Simple Rules for Researchers: Upskilling for a Rapidly Evolving Workforce https://dresa.org.au/materials/ten-simple-rules-for-researchers-upskilling-for-a-rapidly-evolving-workforce The following recommendations were inspired by the Australian Research Data Commons (ARDC) Digital Research Skills Summit 2023, that brought together Researchers, Learning Designers, Skills Trainers, and Librarians in productive discussions on how to run effective researcher skills training. These rules outline how to think about skills learning for researchers, plan training sessions, and efficiently maximize learning. We offer recommendations on how to design and develop learner-centered training programs (Rules 1 and 2), foster outreach, and connect with trainer communities (Rules 3 and 4). We then provide tips to manage and optimize training (Rules 5, 6, and 7), and conclude with valuable insights on preparing for uncertainty and the importance of post-training operations and continued learning (Rules 8, 9, and 10). contact@ardc.edu.au Training, Training Material, Short Format Training, Digital Skills, Researcher Training, Learning
WEBINAR: Effective, inclusive, and scalable training in the life sciences, clinical education and beyond

This record includes training materials associated with the Australian BioCommons/Melbourne Genomics webinar ‘Effective, inclusive, and scalable training in the life sciences, clinical education and beyond’. This webinar took place on 4 November 2022.

Event description 

Scientists and educators...

Keywords: Short-format training, Clinical education, Continuing education, Professional development, Training, Lifelong learning, Pedagogy

WEBINAR: Effective, inclusive, and scalable training in the life sciences, clinical education and beyond https://dresa.org.au/materials/webinar-effective-inclusive-and-scalable-training-in-the-life-sciences-clinical-education-and-beyond-52c113ff-573c-4ae8-a3f0-482c86f1818a This record includes training materials associated with the Australian BioCommons/Melbourne Genomics webinar ‘Effective, inclusive, and scalable training in the life sciences, clinical education and beyond’. This webinar took place on 4 November 2022. Event description  Scientists and educators working in the life sciences must continuously acquire new knowledge and skills to stay up-to-date with the latest methods, technologies and research. Short-format training, such as webinars, workshops and bootcamps, are popular ways of quickly learning about new topics and gaining new skills. As trainers and educators, how can we ensure that short-format training is effective and inclusive for all? How can we ensure that our learners are equipped to continue learning and applying their new skills once they return to their day jobs? And how can we do this in a way that is scalable and sustainable? The Bicycle Principles assemble education theory and community experience into a framework for improving short-format training so that it is effective, inclusive and scalable. Over 30 international experts, including colleagues from the Australian BioCommons, Melbourne Genomics and other Australian and New Zealand organisations, helped develop the principles and an associated set of recommendations. Jason Williams, Assistant Director, DNA Learning Center, Cold Spring Harbor Laboratory - a leading genomics and bioinformatics educator and project lead, joins us to discuss the Principles and how they can be applied to achieve scalable and sustainable training in a range of Australian settings. This webinar is co-hosted by Australian BioCommons and Melbourne Genomics Training Materials Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. WILLIAMS-Jason_aus-biocommons_nov-2022 (PDF): A PDF copy of the slides presented during the webinar. Materials shared elsewhere:   A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/18dub7jGeQ8 Melissa Burke (melissa@biocommons.org.au) Short-format training, Clinical education, Continuing education, Professional development, Training, Lifelong learning, Pedagogy
Professionalizing Training - Origin Stories for the Modern Researcher

Keynote Presentation for the ARDC Skills Summit 2023

This keynote presentation provides a brief outline of Jason William’s experience and an overview of the training initiatives he has been involved in. His presentation looks at what makes a good researcher and provokes thinking about modern...

Keywords: research, training, skills, superheroes, formal, career, change, workshops, milestones, community, principles, bicycle principles, professionalizing, training material

Professionalizing Training - Origin Stories for the Modern Researcher https://dresa.org.au/materials/professionalizing-training-origin-stories-for-the-modern-researcher-0198d9cf-9d8f-467e-8031-4d3a3536af63 Keynote Presentation for the ARDC Skills Summit 2023 This keynote presentation provides a brief outline of Jason William’s experience and an overview of the training initiatives he has been involved in. His presentation looks at what makes a good researcher and provokes thinking about modern researchers and the need for them to get serious bout career-spanning training. Jason also provides an overview of the Bike Principles and focuses on the first Bike Principles recommendation - Professionalize the training of short-format training instructors and instructional designers. contact@ardc.edu.au research, training, skills, superheroes, formal, career, change, workshops, milestones, community, principles, bicycle principles, professionalizing, training material
ARDC 2023 Skills Summit Lightning Talks (Day 2 - February 10, 2023)

Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 2 - February 10th, 2023)
Dr Nisha Ghatak - From local to the global: NeSI's efforts in building digital skills capabilities across Aotearoa
Dr Melissa Burke - No one has time for training. Is doing less the answer?
Dr Giorgia Mori...

Keywords: training material, digital skills capability, digital skills partnerships, The Carpentries, bioinformatics training, cooperative training approaches, industry partnered training, learner pathways, user guidance, new training approaches, innovative training approaches

ARDC 2023 Skills Summit Lightning Talks (Day 2 - February 10, 2023) https://dresa.org.au/materials/ardc-2023-skills-summit-lightning-talks-day-2-february-10-2023-cde4d134-5091-420a-ad0f-a70d09c2970c Presentations to the ARDC Skills Summit 2023 (Lightning Talks Day 2 - February 10th, 2023) Dr Nisha Ghatak - From local to the global: NeSI's efforts in building digital skills capabilities across Aotearoa Dr Melissa Burke - No one has time for training. Is doing less the answer? Dr Giorgia Mori - Industry training collaborations. Is this the future? Ann Backhaus - Skills pathways for developing the research workforce - status quo or let's get creative? These presentations cover a national perspective of New Zealand's digital skills capability and partnerships, The Carpentries, bioinformatics training, innovative and cooperative training approaches, industry-partnered training, learner pathways, and the importance of user guidance. contact@ardc.edu.au training material, digital skills capability, digital skills partnerships, The Carpentries, bioinformatics training, cooperative training approaches, industry partnered training, learner pathways, user guidance, new training approaches, innovative training approaches
Data Storytelling

This Masterclass is an informative training session on data storytelling, designed to equip you with the skills and knowledge to effectively convey the "story" of your research. We explore various data storytelling techniques and introduce you to the tools available to visualize your data...

Keywords: data storytelling, training material

Data Storytelling https://dresa.org.au/materials/data-storytelling-90b4a4ef-bf32-4521-abd4-2767969598bd This Masterclass is an informative training session on data storytelling, designed to equip you with the skills and knowledge to effectively convey the "story" of your research. We explore various data storytelling techniques and introduce you to the tools available to visualize your data effectively. *The Sydney Informatics Hub is a Core Research Facility at The University of Sydney, enabling excellence in research.* [https://sydney.edu.au/informatics-hub](https://sydney.edu.au/informatics-hub) sih.training@sydney.edu.au data storytelling, training material