4-6 July, 2018

Sessions Timetable


ResBazWelli will be held in Rutherford House on Victoria University of Wellington's Pipitea Campus, in the mezzanine foyer and surrounding spaces.


Come Along

We're fully booked! Thanks for all your interest, and please get in touch if you'd liked to be kept in the loop about future events, and feel free to sign up for our follow-up session .


Sessions marked with an asterix (*) have updated links and information
Promote your publications, increase impact and collaborate in research by learning about alternative metrics, social networking and unique author identifiers. Presented in partnership with Publons. READING LIST & SLIDES

Data visualisation for communication is a bit different from exploratory data analysis. In this workshop led by Harkanwal Sign, we will explore examples of compelling data narratives and what makes visualisation work for the audience. Also, the workshop will focus on the design process outside of the code, including sketching data visualisation and learning how to use colour better.

Data visualization is an important tool for the 21st century, assisting in both data analysis and the communication of results. The use of appropriate visualization techniques can greatly increase the ability to gain insight from data. This workshop will give an introduction to data visualization using different tools and techniques, and use of visual variables to make effective visualizations. Come prepared with your own datasets that you want to visualize!

See an example created after this session by Lehlya Heward, of the Department of Chinese Studies in the School of Languages and Cultures, here .

Increasingly, publishers are requesting short videos to accompany articles and research projects. In this session, you'll get an overview of what video abstracts are, why they're useful, and how you can create one - from storyboarding to filming to editing.
Explore the many ways social media can be utilised to build a research profile and following, including tips on how to engage with relevant communites, disseminate your publications more widely, and increase your research impact. Learn about tools that you can utilise to make social media work for you, and see how academics interact in this space. How do you make sure data you collect for your research won't end up in the wrong hands? What happens if your laptop dies and all your work is on it? Come along to this session to learn how a research data management plan can help you manage, protect and publish your research data. We'll discuss why these are an increasingly vital part of the research lifecycle, and why setting one up early in a project might save your sanity down the line.   Learn how to gather data effectively by understanding survey design principles and tools, and master the art of asking the right questions. SLIDES

Stuart Yeats leads a discussion about wikipedia use in teaching and research in university contexts, including setting editing as coursework, adding your research results to wikipedia and using wikipedia as data. In the second half of the session, Stuart will talk his way through the creation of a new wikipedia article, explaining what he's doing, why he's doing it and how to avoid common mistakes.
Related links: Wikipedia Authority Control   |   NZ Research   |   Wikimedia Projects.

LaTeX is a document preparation system for high-quality typesetting that allows you to separate the content from the format of your document. It is most often used for medium-to-large technical or scientific documents but it can be used for almost any form of publishing. Come along to see if it's for you.
ggplot2 is a plotting system for R, based on the grammar of graphics, which tries to take the good parts of base and lattice graphics and none of the bad parts. It takes care of many of the fiddly details that make plotting a hassle (like drawing legends) as well as providing a powerful model of graphics that makes it easy to produce complex multi-layered graphics. Learn how to make it work for you, and how see how it fits into the tidyverse collection of "opinionated" R packages. ONLINE LESSON

This session will offer a brief and practical introduction to Git and GitHub for complete beginners. Learn how you can use Git to manage and keep track of different versions of all your important files and documents that change through time in your projects. GitHub is one of the worlds leading online collaboration platforms for working on projects that use Git. Whether you write code or not, Git and GitHub are incredibly powerful tools that should be part of any researchers digital toolkit. Come and see what it's all about!

Python is a widely-used, easily-learned general-purpose language. It can be used to automate tasks, analyse data and build just about anything.This hands-on lesson will focus on how Python can be used for scientific data analysis (CODE stream only).

R is a free, widely-used and well-documented software environment for data science. The best way to learn how to program is to do something useful, so this introduction to R is built around a common scientific task: data analysis. The goal isn’t just to teach you R, but also the basic concepts that all programming depends on. (CODE stream only).

No one likes doing boring tasks once, let alone many times over and over. The Unix Shell allows you to do complex things with just a few keystrokes. More importantly, it helps you combine existing programs in new ways and automate repetitive tasks. (CODE stream only).
Overview of a range of free, easy-to-use interactive tools useful for time or location-based narratives. Learn the basics with the option to explore more advanced features. Possible assets to use here. An overview of data analysis basics, including how to select appropriate analysis methods, tools that can be utilised, and how to run analyses. Experience a range of projects utilising virtual and agumented reality technology, developed both at Victoria and beyond. Unexpected Connections
Dickens and Data Science
Connected Worlds
fab lab wgtn



Note: only CODE stream sessions are offered on this day.
Make sure to check out this website for installation instuctions and further key info.


*Sessions marked with an asterix only available to those registered for the CODE stream.
More information on sessions for both streams can be found here.


*Sessions marked with an asterix only available to those registered for the CODE stream.
More information on sessions for both streams can be found here.

Meet Our Speakers


Kylie Reiri
Kylie is a data scientist who has a keen interest in making it easier to work with data. From building systems in automated and reusable ways, to upskilling people to make sure the capabilities exist to get the most out of our data rich world.

Kylie is currently managing a team of data scientists and IT experts for Nicholson Consulting.

Kylie holds a Master of Science (Applied Statistics) and a Bachelor of Science (Statistics and Marine Biology), both from Victoria University of Wellington. She has held previous roles as a statistician at Statistics NZ, Inland Revenue, the Ministry of Health, and most recently as the Technical Lead at the Social Investment Agency.


Dr Paul Bracewell
Paul Bracewell is a founder of DOT loves data where he leads the analytical and technical teams. Paul is passionate about analytics and how it can impact the world around us. This enthusiasm has been honed by nearly 20 years of using analytics to solve business problems and shape strategies in a range of contexts. In addition to having award-winning PhD research under his belt, Paul has been directly involved in the sale of two analytics businesses.

He is an Adjunct Research Fellow within Victoria University’s School of Mathematics and Statistics where he supervises PhD and Masters Students and has also lectured within the School of Marketing & International Business.


Markus Luczak-Roesch
Markus Luczak-Roesch is a Senior Lecturer in the School of Information Management at Victoria University. His research focuses on the foundations of space and time in the context of information, as well as emergent meaning that is rooted in coincidence.

The information sequences Markus is studying stem from digital traces left by humans in online communities such as Wikipedia and citizen science platforms such as Zooniverse, but also literary texts, brain wave recordings, and micro-linguistic data about language use.


Harkanwal Singh
Harkanwal is the founder of Elements Data Studio. Previously, he was the head of data journalism at the New Zealand Herald. He is passionate about developing data visualisation for communication.

He will share his ideas and experience on creating data visualisation to communicate research effectively to a general audience.

Follow-up Event


Location: RH105   | Time: 3pm-5:30pm

Click here to register

The instructor team are holding a follow-up event for all those who attended ResBaz and want to continue exploring any of the tools or lessons further in a supportive environment, or just want to extend the conversation. Participants are free to extend the invite to others who may be interested as well.

If possible, please bring along a laptop and any data sets you want to interrogate or visualise. ResBaz instructors will be on hand to help.



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