Archive for category Research Grants

The blog expands

I’ve started writing a new page for the blog that examines the theory behind various common statistical methods and models. The idea here is to include references and brief descriptions of some of the important and interesting papers on various topics. I also intend to include web links to software implementations whenever possible. The new material can be found by clicking on the “Statistics Theory and Applications” tab above. I am currently working on the linear regression section and the LASSO regularisation method for linear regression.

In other news, the grant writing season has again started. This year, we aim to write one early career researcher ARC grant, and at least one NHMRC grant. The ARC grant will be a two year proposal for work on modern logistic regression techniques. We are in the process of determining which NHMRC grant(s) will be written and which researchers will be involved. I can only hope that this grant season is as successful as last years!

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More Grant News

The NHMRC funding outcomes have been released and we have been awarded another grant! This is fantastic news given the competitive nature of the funding process. The list of project grants that were funded for 2011 can be found here. We were awarded approximately $400k over a period of two years for a research project on mammographic density. This is a very exciting area of research and we hope to positively contribute towards breast cancer research and making mammographic density more clinically useful.

Continuing on with more good news, the list of accepted papers for the 23rd Australasian Joint Conference on Artificial Intelligence (AJCAI 2010) has been announced a couple of weeks ago. AJCAI is a premier conference on artificial intelligence and machine learning that is held annually in the Australasian region. We usually send at least one paper every year to AJCAI given how rare international machine learning conferences are in Australia. This year we ended up submitting two papers, both of which were accepted. Moreover, one of the papers we submitted has also been awarded the best conference paper! Following the conference, I will be putting up both papers in the Publications section along with any relevant MATLAB and C/C++ code.

Lastly, I’d like to congratulate my colleague and good friend Daniel Schmidt for getting engaged this year to one lovely lady! I wish you both the best of luck!

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ARC Grant Time

The Australian Research Council (ARC) have announced the funding outcomes for the 2011 round of Discovery Projects. The sucess rate this year was 22.0% compared to 22.7% in the last round. The success rate really is quite low considering the amount of time and effort required to fill out one of these applications. The great news is that our first ever ARC grant got funded! Although we didn’t quite get the amount of money we requested, we still got more than the national average. Now we nervously await the NHMRC funding outcomes which should be released in a week or so.

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