The month ahead

The week ahead

Publishing during your PhD
06 Oct

Publishing during your PhD

On completion of this workshop participants should be able to identify official HDR publishing requirements, including using publications in your thesis, copyright considerations, thesis structure requirements.
Perspectives: Asia | The pen and the sword: fighting and talking in an age of strategic competition and curtailed press freedom
06 Oct

Perspectives: Asia | The pen and the sword: fighting and talking in an age of strategic competition and curtailed press freedom

ABC journalist Siobhan Heanue will reflect on her experiences and how better engagement with the region may lead to better press freedom outcomes.
Systematic Quantitative Literature Review (SQLR) and Advancing SQLR
10 Oct

Systematic Quantitative Literature Review (SQLR) and Advancing SQLR

Systematic quantitative literature review is a smart and effective method for undertaking literature reviews, particularly for research students and others exploring new disciplines. It bridges the gap between traditional narrative review methods and meta-analysis. Narrative methods that are common in research theses, rely on the expertise and experience of the author, making them challenging for novices to produce and publish.
Advanced Data Wrangling with OpenRefine
11 Oct

Advanced Data Wrangling with OpenRefine

Building on the introductory session, learn advanced data wrangling skills including combining tabular datasets, geolocating data, and "what if" exploration using OpenRefine.
Bayesian Ideas in Pictures
11 Oct

Bayesian Ideas in Pictures

Ever wondered what Bayesian thinking is? And how it relates to Bayesian statistical modelling? Or Bayesian networks? Or Empirical Bayes estimates? Bayes theorem lies at the heart of all of these methodologies, in different ways. This talk explains the core ideas of Bayes' theorem, simply. The approach is based on the cookie analogy used by a quantum physicist to explain (and illustrate) Bayesian ideas to toddlers (and their parents).
Data Organisation in Spreadsheets for Researchers
13 Oct

Data Organisation in Spreadsheets for Researchers

Good data organization is the foundation of any research project. Most researchers have data in spreadsheets, so it's the place that many research projects start.To use tools that make computation more efficient, such as programming languages like R or Python, we need to structure our data the way that computers can read the data.