Event schedule

Programme

Tuesday 1st Nov 2022

Day 1
Registration (in the foyer)
Fundamentals of Reproducible Research
  • Sharron Stapleton

  • Belinda Weaver

Learn how to share your code and results with end users: Shiny app fundamentals in R
  • Dr. Ali Chauvenet

The Social Dilemma: Leveraging Social Media Strategically
  • Jessica Stokes-Parish

Introduction to R with Ecology data
  • Emilia Decker

Introduction to FIJI (ImageJ)
  • Dr. Nicholas Condon

Morning tea

Join us downstairs in N53 Minus 1 (ground floor)

Machine Learning Crash Course - Principles and Tools in R
  • James Todd

Learn how to share your code and results with end users: Shiny app fundamentals in R
  • Dr. Ali Chauvenet

How to Describe your Research Impact in one sentence
  • Clare Van Dorssen

Collecting Twitter Data for Comparative Text Analytics
  • Dr. Sam Hames

Introduction to R with Ecology data
  • Emilia Decker

Introduction to FIJI (ImageJ)
  • Dr. Nicholas Condon

Lunch and stalls

Join us downstairs in N53 Minus 1 (ground floor) to talk with speakers and attendees, and visit our wonderful stalls!

Speakers of the day

Join us in N02 Cinema (across the road from the main food hall)

The Topography of Searching by Amy Walduck
  • Amy Walduck

ARDC: Tools to accelerate your research by Andy White
  • Andrew White

Afternoon tea

The best time to talk with speakers and attendees

The Impostor Syndrome...And why you may feel like you are a fake
  • Amanda Miotto

The ARDC National ML Service Pilot: How it works, and what you would like it to evolve into
Data Cleaning with OpenRefine
  • Sharron Stapleton

Comparative Text Analytics with R
  • Dr. Sam Hames

Introduction to R with Ecology data
  • Emilia Decker

Come and Try the Nectar Cloud’s Virtual Desktop
  • Sonia Ramza

Launch of the Australian Text Analytics Platform

Wed 2nd Nov 2022

Day 2
Registration (in the foyer)

Introduction to the Five Safes for Sensitive Data
Advanced Data Wrangling with OpenRefine
  • Sharron Stapleton

Network Analysis with R
  • Alice Miller

Introduction to R with Ecology data
  • Emilia Decker

Introduction to Python for Data Scientists

Morning tea

Join us downstairs in N53 Minus 1 (ground floor)

Academic & Professional Capability: Strategies to Effectively Transition Your Skills, Knowledge and Competences
  • Dr. Dan Jess

How to bring Change with your Research (Change management skills)
  • Tati Viegas-Gurry

Document Processing with LaTeX
  • Julie Somers

Topic Modelling with R
  • Dr. Sam Hames

Introduction to R with Ecology data
  • Emilia Decker

Introduction to Python for Data Scientists

Lunch and stalls

Join us downstairs in N53 Minus 1 (ground floor) to talk with speakers and attendees, and visit our wonderful stalls!

Speakers of the day

Join us in N02 Cinema (across the road from the main food hall)

Learn the Art of Visual Storytelling!
  • Indi Tansey

Technical Debt and Software Engineering for R Programming: Improving the Development of your Datascience Code by Dr Melina Vidoni (virtually hosted)
  • Dr Melina Vidoni

Afternoon tea

The best time to talk with speakers and attendees

Building a blog with git, R and quarto
  • Dr. Catherine Kim

Tidy Data and Good Spreadsheet Design
  • Sharron Stapleton

  • Belinda Weaver

Interactive maps using Python and Folium
  • Dr. Tony Howes

Introduction to Python for Data Scientists
Data Orientated Career Pathways - How did I get here, and how can you?
  • Dr Adi Gafni

  • Rhetta Chappell

  • Dr. Alexander Wailan

Social catchup and Networking at the Uni Bar

Thursday 3rd November

Day 3
Registration (in the foyer)
Making Data (more) FAIR with KBase (Virtual)
  • Zachary Crockett

Running bioinformatics pipeline using Nextflow
  • Dr. Ido Bar

Copyright considerations for Researchers
  • Katya Henry

  • Rani McLennan

Intermediate Python Topics: Project Environments and Testing
  • Dr. Sam Hames

Introduction to Python for Data Scientists
Morning tea

Join us downstairs in N53 Minus 1 (ground floor)

Zooming to the Next Level: Tips and Tricks using Zoom
  • Dr. Mark Crowe

Running bioinformatics pipeline using Nextflow
  • Dr. Ido Bar

Getting to know GitBook
  • Dr. Sara King

  • Nica Tsakmakis

Intermediate Python Topics: Project Environments and Testing
  • Dr. Sam Hames

Building R packages and publishing them on GitHub
  • Dr. Nicole Fortuna

Introduction to Python for Data Scientists
Lunch and stalls

Join us downstairs in N53 Minus 1 (ground floor) to talk with speakers and attendees, and visit our wonderful stalls!

Speakers of the day

Join us in N02 Cinema (across the road from the main food hall)

How can Collaborative-Coding help your research? by Dr Paula Martinez
  • Dr Paula Andrea Martinez

A journey in genomics software: from consumer to developer by Dr Cam Hyde
  • Dr Cameron Hyde

Afternoon tea

The best time to talk with speakers and attendees

Phylogenomics analysis using large-scale public genome data
  • Dr. Min Zhao

Hands-On Knowledge Mapping in R (library Bibliometrix )
  • Mathew Fletcher

  • Dr. Quentin Pope

Introduction to Python for Data Scientists