- From: Jakub Kotowski <jakubkotowski@gmx.net>
- Date: Sat, 21 Jul 2012 14:11:56 +0200
- To: Stefan Decker <stefan.decker@deri.org>
- CC: Helena Deus <helena.deus@deri.org>, Melvin Carvalho <melvincarvalho@gmail.com>, "nathan@webr3.org" <nathan@webr3.org>, Michael Hausenblas <michael.hausenblas@deri.org>, "semantic-web@w3.org" <semantic-web@w3.org>, "public-lod@w3.org" <public-lod@w3.org>, "www-rdf-interest@w3.org" <www-rdf-interest@w3.org>, "protege-discussion@lists.stanford.edu" <protege-discussion@lists.stanford.edu>, "semanticweb@yahoogroups.com" <semanticweb@yahoogroups.com>, "dbworld@cs.wisc.edu" <dbworld@cs.wisc.edu>, "machine-learning@egroups.com" <machine-learning@egroups.com>, "taverna-users@lists.sourceforge.net" <taverna-users@lists.sourceforge.net>, "bbb@bioinformatics.org" <bbb@bioinformatics.org>
Perhaps Kaggle may also be relevant: http://www.kaggle.com/ >From the website: Participate in competitions Kaggle is an arena where you can match your data science skills against a global cadre of experts in statistics, mathematics, and machine learning. Whether you're a world-class algorithm wizard competing for prize money or a novice looking to learn from the best, here's your chance to jump in and geek out, for fame, fortune, or fun. Create a competition Kaggle is a platform for data prediction competitions that allows organizations to post their data and have it scrutinized by the world's best data scientists. In exchange for a prize, winning competitors provide the algorithms that beat all other methods of solving a data crunching problem. Most data problems can be framed as a competition. Jakub On 07/20/2012 11:22 AM, Stefan Decker wrote: > The discussion seem to point to a deeper question: how to enable crowd > sourcing of the analysis of these kind of data sets? This may involve > running of analysis code or maybe even manual work. > What kind of computational infrastructure would we need to enable this? > And how do we validate and aggregate results? > > On Thursday, 19 July 2012, Helena Deus wrote: > > An on a related topic and the reason why doing cancer informatics is > so exciting in this area: a happy story where exploring data > patterns enabled curing a cancer which had a 4-5% survival chance > - http://www.nytimes.com/2012/07/08/health/in-gene-sequencing-treatment-for-leukemia-glimpses-of-the-future.html?_r=1 > > > > On Jul 19, 2012, at 7:41 PM, Melvin Carvalho wrote: > >> >> >> On 17 July 2012 22:27, Nathan <nathan@webr3.org <javascript:_e({}, >> 'cvml', 'nathan@webr3.org');>> wrote: >> >> Can you open this right up for everybody to be involved? >> >> I know I for one would be happy to invest free time to looking >> at these datasets to find patterns - are they open and >> available online, any pointers to get started, anything at all >> that would enable me (and hopefully others skilled here) to >> work on this? >> >> It sounds like less of a "position" and more of a global need >> we who can should all be pumping time in to. >> >> >> Maybe related: >> >> 15-Year-Old Maker Astronomically Improves Pancreatic Cancer Test >> >> http://blog.makezine.com/2012/07/18/15-year-old-maker-astronomically-improves-pancreatic-cancer-test/ >> >> He gleaned information on the topic from his “good friend Google,” >> and began his research. Yes, he even got in trouble in his science >> class for reading articles on carbon nanotubes instead of doing >> his classwork. When Andraka had solidified ideas for his novel >> paper sensor, he wrote out his procedure, timeline, and budget, >> and emailed 200 professors at research institutes. He got 199 >> rejections and one acceptance from Johns Hopkins: “If you send out >> enough emails, someone’s going to say yes.” >> >> >> Best, >> >> Nathan >> >> >> Helena Deus wrote: >> >> Dear all, >> We have an exciting research assistant position open at >> DERI for a chance to work with Cancer Informatics! We are >> looking for an enthusiastic developer who is familiar with >> bioinformatics concepts. Your role will be exploring >> cancer related datasets and looking for pattern (applying, >> for example, machine learning techniques) that can be used >> for personalized medicine. >> Please don't hesitate to Fw. this to whomever you think >> might be interested. >> To apply or to ask for more information, please reply to >> me (helena.deus@deri.org <javascript:_e({}, 'cvml', >> 'helena.deus@deri.org');>) with CV + motivation letter >> Kind regards, Helena F. Deus, PhD >> Digital Enterprise Research Institute >> helena.deus@deri.org <javascript:_e({}, 'cvml', >> 'helena.deus@deri.org');> >> >> >> >> >> >> >> > > > > -- > Professor Stefan Decker > Director, Digital Enterprise Research Institute, > Professor of Digital Enterprise > National University of Ireland, Galway. Ireland. > Tel: +353.91.495011 > E-mail: stefan.decker@deri.org <mailto:stefan.decker@deri.org> > Web: http://www.deri.ie > Personal: http://www.stefandecker.org
Received on Saturday, 21 July 2012 12:12:29 UTC