- 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 12:12:28 UTC