Wellington
8 February - 10 February, 2017



About


The Wellington Research Bazaar is a three day conference promoting the digital literacy emerging at the centre of modern research. In the spirit of a marketplace or bazaar, ResBaz is a highly participatory event where researchers from many different disciplines can learn new skills, showcase current projects, and share knowledge.

Researchers at all levels and from all disciplines are encouraged to apply.
Research technologists who support researchers to do their job are welcome also.

The Wellington ResBaz will be broken into two key streams: Code and Learn. There's also a drop-in Play stream.

Code is comprised of Software Carpentry courses where you can get stuck into learning the basics of research computing;

Learn has various sessions to introduce a range of interesting programs, tools, and research tips and tricks;

Play will allow for hands-on interactions with a number of novel technologies.

There will be speakers from all stages of their research careers in various fields, as well as highlights on up-and-coming projects.

Read more about the history and philosophy of ResBaz in these blog posts from The Research Whisperer and Software Carpentry.



CODE

(SOFTWARE CARPENTRY)

The Unix Shell
Programming with Python
Version Control with Git
Accessing NeSI HPC resources

LEARN

(INTRODUCTORY ELECTIVES)

Quick Qualtrics
NVivo in 2 hours
Digital Storytelling Tool Suite
R in 2 hours
ggplot2
Author Carpentry
Weebly for Personal Websites
Learn LaTeX
Working with Wikipedia
ERSI basic Story Map and TimelineJS
Data Insights with TEC


EVERYTHING ELSE

Play Sessions
Meet The Press
Lightning talks
Hack - Data Oympics

Schedule - CODE


Each day of the ResBaz CODE stream will be split into morning and afternoon events (scroll down for the LEARN schedule). Following a Key Story (mini-Keynote), the mornings will consist of Software Carpentry lessons. Afternoon sessions will continue the morning's Software Carpentry workshop, before transitioning to a more informal series of events, with plenty of chances to explore other parts of the programme.

(Below is a provisional timetable and may be subject to slight changes.)

Please visit the event's dedicated Software Carpentry website for more details



Schedule - LEARN


All events in the LEARN stream will be held on Level 1 of The Hub, in two pods (marked [1] or [2] below) at the south of the building unless otherwise stated.
See the About section for more detailed information on each session.

(Below is a provisional timetable and may be subject to slight changes.)

Venue


ResBaz Wellington 2017 will be held in and around the Hub
at Victoria University of Wellington's Kelburn Campus.


Data Olympics


The Challenge: As a team, adopt a persona and scenario where open data can be used to inform decision making. Feel free to create any persona you like, or use the following options as a starting point:

  • You’ve recently graduated PhD student with a number of post-doc opportunities around the world (eg Zurich, London, Chicago)
  • You’re a campaign manager in a US presidential election trying to plan a successful campaign.
  • You are the newly-elected president of the United States
  • You’re an NZ high school leaver deciding whether to go to university (if so where?) or join the workforce. Where might you study or look for work?
  • You’re a recent university graduate, age..., looking for employment, minimum salary, lives in... (fill in gaps). Locate data to help focus job search.
  • You're a family buying a house, or building a house wanting to use data to inform decisions, eg solar or wind power, sun, shade, tsunami evacuation zones, schools, playgrounds...

Be specific to help bring your persona to life. Give them a gender, ethnicity, age, interests etc. For some ideas about what to do you could refer to overviews such as this one.
Nominate one or two team members to present your findings, ideally with a slide show or online tools rich with visualisations, graphs and data points to accompany your story and justify your decisions. You might want to use some of tools showcased at ResBaz (eg. R, TimeLineJS, StoryMapJS, Basic Story Map, Weebly, Qlik Sense, Python) or other easy-to-use online tools such as infogr.am, Voyant, piktochart, or the tools outlined here

Some (but by no means all) datasets you might look to use:

Venue


ResBaz Wellington 2017 will be held in and around the Hub
at Victoria University of Wellington's Kelburn Campus.


Register for Resbaz


Register here for the Wellington Research Bazaar.

Register

Meet Our Speakers


Lillian Grace

Figure.nz

Lillian brings a new perspective on data, one where data is a language in which everyone can be fluent. She believes societies and individuals will benefit when anyone can use data to inform their thinking and insights without requiring intermediaries.

In establishing Figure.NZ in 2012, Lillian took the unique position of designating everyone to be a user of data. She leads the team to build systems and software, and to widely and deeply collaborate throughout New Zealand to deliver to this standard.

Lillian is also on the Data Futures Partnership Working Group, as well as on the board of the NZ Innovation Partnership and of NZ Centre of Research Excellence Te Pūnaha Matatini. Previously Lillian was at Academy Award-Winning Massive Software, at think tank The New Zealand Institute.

Anne Niemetz

VUW - Media Design

Anne Niemetz is a media artist and designer working in the fields of wearable technology, interactive installation and audio-visual design. She is particularly fascinated by the convergence of art, science, design and technology, and she pursues collaborative and cross-disciplinary projects.

Anne holds a Media Arts degree from the Staatliche Hochschule für Gestaltung Karlsruhe, with a focus in digital media and interactive sound installation, and an MFA in Design|Media Arts from the University of California Los Angeles. Since 2007 she’s been living and working in New Zealand, where she holds the position of Senior Lecturer in the Media Design programme at Victoria University of Wellington.

Karsten Lundqvist

VUW
Computer Science

Karsten has a special interest in eLearning and knowledge representation, having run a successful mobile development MOOC for a number of years at Reading University before joining VUW last year. He's had computer science as a hobby since he got his first Sinclair Spectrum in 1984, and started programming a year later on his Amstrad CPC 464.

In my his spare time he runs a company where he develops mobile phone apps, at the moment mostly concentrated on the Android platform.

Victor Anton

VUW PhD
Biological Sciences

Interested in the use of novel technologies and citizens science to study New Zealand ecology, Victor is currently utilising remote cameras to research introduced mammals and native fauna in urban areas. In 2015, he launched a website where members of the public identify the animals recorded in over 100,000 photographs

Our Sponsors


Many thanks to all our sponsors for helping bring the Resarch Bazaar to Wellington.



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