Event schedule

Programme

Monday 15th Aug

Day 1
Registration (in the foyer)
Fundamentals of Reproducible Research
Learn how to share your code and results with end users: Shiny app fundamentals in R
The Social Dilemma: Leveraging Social Media Strategically
Collecting Twitter Data for Comparative Text Analytics
Introduction to R with Ecology data
Introduction to FIJI (ImageJ)
Morning tea

The best time to talk with speakers and attendees

Placeholder

Learn how to share your code and results with end users: Shiny app fundamentals in R
How to Describe your Research Impact in one sentence
Comparative Text Analytics with R
Introduction to R with Ecology data
Introduction to FIJI (ImageJ)
Lunch

The best time to talk with speakers and attendees

Speakers of the day - Join us in S05 2.04 (via outdoor path)

Come listen to our key speakers for the day- Lecture hall can be found just outside our main building. Our guides will help you find the hall.

Afternoon tea

The best time to talk with speakers and attendees

The greatest gift to yourself

Placeholder

Data Cleaning with OpenRefine
Note taking Apps and OneNote as a Laboratory Notebook
Introduction to R with Ecology data
Come and Try the Nectar Cloud’s Virtual Desktop
The Impostor Syndrome...And why you may feel like you are a fake

Placeholder

Data Cleaning with OpenRefine
Note taking Apps and OneNote as a Laboratory Notebook
Introduction to R with Ecology data
Come and Try the Nectar Cloud’s Virtual Desktop

Tue 16th Aug

Day 2
Registration (in the foyer)
How to bring Change with your Research (Change management skills)
Machine Learning Crash Course - Principles and Tools in R

Placeholder

Network Analysis with R
Introduction to R with Ecology data
Introduction to Python for Data Scientists

Placeholder

Morning tea

The best time to talk with speakers and attendees

Academic & Professional Capability: Strategies to Effectively Transition Your Skills, Knowledge and Competences

Placeholder

Document Processing with LaTeX
Topic Modelling with R
Introduction to R with Ecology data
Introduction to Python for Data Scientists

Placeholder

Lunch and stalls

The best time to talk with speakers and attendees, and visit our wonderful stalls!

Speakers of the day - Join us in S05 2.04 (via outdoor path)

Come listen to our key speakers for the day- Lecture hall can be found just outside our main building. Our guides will help you find the hall.

Afternoon tea

The best time to talk with speakers and attendees

Placeholder

Placeholder

Tidy Data and Good Spreadsheet Design

Placeholder

Using the R Package ‘galah’ to Investigate the Atlas of Living Australia
Introduction to Python for Data Scientists
Ask a Recruiter Anything

Placeholder

Placeholder

Tidy Data and Good Spreadsheet Design

Placeholder

Using the R Package ‘galah’ to Investigate the Atlas of Living Australia
Introduction to Python for Data Scientists
Data Orientated Career Pathways - How did I get here, and how can you?

Wednesday 17th Aug

Day 3
Registration (in the foyer)

Placeholder

Running bioinformatics pipeline using Nextflow
Copyright considerations for Researchers
Intermediate Python Topics: Project Environments and Testing
Building R packages and publishing them on GitHub
Introduction to Python for Data Scientists

Placeholder

Morning tea

The best time to talk with speakers and attendees

Zooming to the Next Level: Tips and Tricks using Zoom
Running bioinformatics pipeline using Nextflow
How to access biodiversity data from the Atlas of Living Australia
Intermediate Python Topics: Project Environments and Testing
Introduction to Git
Introduction to Python for Data Scientists

Placeholder

Lunch and stalls

The best time to talk with speakers and attendees, and visit our wonderful stalls!

Speakers of the day - Join us in S05 2.04 (via outdoor path)

Come listen to our key speakers for the day- Lecture hall can be found just outside our main building. Our guides will help you find the hall.

Afternoon tea

The best time to talk with speakers and attendees

Placeholder

Placeholder

Hands-On Knowledge Mapping in R (library Bibliometrix )

Placeholder

Introduction to Git
Introduction to Python for Data Scientists

Placeholder