Workshop Standardization Madrid October 2012

Madrid, October 18-19, 2012

 Standardization in AFM for Life Sciences  

Local Organizer: Ricardo Garcia

This is a 2 days 3 nights (120 €) Worshop.

The spirit of this workshop can be find at the bottom of the page!

We expect the first positive results in the few next months. We have already scheduled the Standardization in AFM for Life Sciences II, in Enschele on March 2013. 

The meeting venue will be AYRE GRAN HOTEL COLON.


This meeting will follow 4rd Multifrequency AFM Conference.

If you are interested to participate only to the last day (biology oriented), be aware that a very special registration fee of 30 Euro is reserved on Wednesday September 17 for COST Action members (lunch not included).

Please download the registration form for the Cost Action 1002 members.

The payment can be done in advance or the day of the conference. 


Please find info about the Conference below.

Spirit of ...

From Nature Volume: 487, Pages: 427–428 Date published: (26 July 2012)

Finally, the .... community must take responsibility for establishing standards for the generation, quality control and statistical analysis of high-throughput data generated using new .... technologies (a model that has generally worked well, for instance, in ..... association studies) and for responding rapidly to published errors. Traditionally, scientists wrote politely outraged letters to journals. Many now voice their concerns in online media, a more rapid and open way to ensure that the public view of a finding is tempered with appropriate caution. Such informal avenues for rapid post-publication discourse should be encouraged.

Nothing can completely prevent the publication of incorrect results. It is the nature of cutting-edge science that even careful researchers are occasionally fooled. We should neither deceive ourselves that perfect science is possible, nor focus so heavily on reducing error that we are afraid to innovate. However, if we work together to define, apply and enforce clear standards for genomic analysis, we can ensure that most of the unanticipated results are surprising because they reveal unexpected biology, rather than because they are wrong."