Hobart, Australia

31 January - 2 February, 2017
University of Tasmania, Sandy Bay Campus
https://2017.resbaz.com/hobart

Data Science Hobart will host Tasmania's first ever ResBaz conference in early 2017. We're using this page to keep notes on the organising timeline and draft program.

Please direct any questions to [email protected]

Draft program

Schedule

Days 1 and 2 are effectively a couple of Software Carpentry workshops running simultaneously (i.e. a Python workshop and an R workshop). Day 3 is then the "bazaar", with elective classes on all sorts of different digital research tools and techniques. People will be able to register for all 3 days or just the final day.

Time Tue 31 Jan Wed 1 Feb Thu 2 Feb
08:30 - 09:00 Keystory Keystory Keystory
09:00 - 10:30 Software Carpentry Software Carpentry Elective classes
10:30 - 11:00 Morning tea Morning tea Morning tea
11:00 - 12:30 Software Carpentry Software Carpentry Elective classes
12:30 - 01:30 Lunch Lunch Lunch & exhibitors
01:30 - 03:00 Software Carpentry Software Carpentry Elective classes
03:00 - 03:30 Afternoon tea Afternoon tea Afternoon tea
03:30 - 05:00 Software Carpentry Software Carpentry Elective classes
After 5:00 Social event Social event

Class details

Software Carpentry (Day 1 and 2)

When people register, they will be required to select one of the following streams. Each will run simultaneously over the first two days of the event.

Class Leader Helpers Teaching materials
Software Carpentry with Python Damien Irving Pearse Buchanan The Software Carpentry unix shell, Python and Git lessons (found here)
Software Carpentry with R Tom Remenyi Mike Sumner, Bill Cohen The Software Carpentry unix shell, R and Git lessons (found here)

Electives (Day 3)

On the final day of the event (i.e. once the participants have got some core skills under their belt) a number of short elective classes will be offered. These will be 0.5-3.0 hours in length and participants can attend whichever they like. During the lunch break exhibitors will have display tables so they can chat to attendees (and sign people up to their mailing lists, etc).

(The draft schedule for when and where these elective classes will be held on Thursday 2 February can be found here.)

Elective class Leader Overview Type (approximate length)
Installing and navigating the scientific Python stack Damien Irving This session will give an overview of the major Python libraries used for data science. Participants will learn how to manage and install these libraries using the conda package manager. Talk/demonstration (30 minutes)
How to write a reproducible paper Damien Irving Modern research relies heavily on software and code. These aspects of the research methodology are rarely (if ever) documented in modern research papers, which has led to a reproducibility crisis in published computational research. This talk will outline the practical steps you can take to ensure that your papers are reproducible. Talk (30 minutes)
Data management in the weather, ocean and climate sciences Damien Irving This session will cover the core concepts and skills required to effectively manage research data in the weather and climate sciences. Along the way the session will touch on netCDF files and the major Python libraries used in this field of research. [A basic familiarity with Python is required.] Workshop (1.5 hours)
Data science consultations Software Carpentry instructors Come along and listen to our experienced Software Carpentry instructors interview willing researchers about their personal data science workflows. If you're feeling brave you can put your hand up to be an interviewee, otherwise sit back and join in the audience discussion. Question and answer session (1.5 hours)
Introduction to the NeCTAR Cloud Just Berkhout Workshop (3 hours, preference for morning)
Managing marine and Antarctic data at UTAS Peter Walsh, Emma Flukes Talk (15 minutes)
Scalable simplicity: A case Ssudy in DevOps and cloud orchestration Alex Leith The Cloud is one of the most overused buzzwords, but it does mean something. This presentation will provide an insight into the why of using the cloud for spatial systems, through a case study demonstrating modern technology use in architecting a scalable and simple solution. Tidetech applies the science of oceanography to create data products designed to improve efficiency for a range of maritime applications including shipping, offshore industries and renewable energy technologies. Recently, Tidetech has been expanding from delivering data products to delivering information products. Additionally, data pipelines have been streamlined and shifted into a data factory that provides for increased reliability and transparency in processes. Together, the result is a highly orchestrated and integrated system, which provides reliable data and mapping services to customers all over the world. This presentation will be framed as a case study with a focus on the system, but will also examine how the results of this system are used through the use of real world examples. Talk (15-30 minutes)
Oceans and clouds: Managing AODN infrastructure in the Cloud Ankit Bhasin, Angus Scheibner and Leigh Gordon This session provides an overview of how the Australian Ocean Data Network (AODN) team leverages cloud technologies to support developing services for delivering oceanographic data. Utilising these technologies allows us to deliver reliable and scalable solutions for data availability. In this session, we provide an introduction to some of the most useful cloud services and insight into future possibilities for AODN infrastructure. Workshop (1 hour)
Getting started with netCDF Damien Irving (Python), Tom Remenyi (R), Just Berkhout (lots of data) This session will give an overview of the basic concepts you need to understand when dealing with data stored in netCDF format (e.g. common metadata conventions). A demonstration of how to interact with netCDF files using Python and R will be given, followed a discussion of tools that can be used when netCDF files get really large. Talk/demonstration (1 hour)
The executable paper Tom Remenyi Demonstration (1 Hour)
Introducing the Australian National Data Service Katherine Tattersall Talk (15 minutes)
Speechcraft: Introduction to effective formal presentations Bill Cohen A critical skill for any scientist is the ability to effectively communicate your ideas. This course is a very short introduction to effective public speaking, and introduces some basic concepts such as how to prepare and structure your speech, the use of visual aids and speaking with confidence. Each participant will be asked to deliver a 2 minute speech and will be given a critical evaluation. Workshop (2 hours)
R-Ladies meetup Jess Melbourne-Thomas R-Ladies is a world-wide organisation to promote gender diversity in the R community. The purpose of this session is to gauge interest in starting a Hobart chapter. Discussion group (30 minutes)
Exhibitor Contact person
Data Science Hobart Mike Sumner
Hobart R Users Group Bill Cohen
UTAS bioinformatics Michael Charleston
COMBINE Andrew Phipps
Hobart Hackerspace David Craig
UTAS Library Christine Evans

Other groups/people to approach about running an elective and/or being an exhibitor

Social events

Event Leader Description

Speakers

Topic Speaker/s Notes
Keystory (day 1) Damien Irving Title: "A brief history of ResBaz and how it was the making of my PhD"
Keystory (day 2) ???
Keystory (day 3) ???

Key-stories replace the traditional "keynote" speaker. The idea is to find speakers who have had an atypical journey in their career (and to get them to talk about that interesting journey), as many early career researchers feel there's a right and wrong way to go about things, which isn't really true.

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