Dea FISes, with respect to this big data and machine learning cults today, which I consider as somewhat useful fragments of a much bigger paradigm but not the non-plus-ultra tendency in science, let me ask you a bit different question:
What do you think about the other more interesting phenomenon recently: the blockchain technology and the chances for a forum like FIS to use it for perpetuating knowledge to change the paradigm of conventional thinking towards a global intellectual standard currency? Perhaps this is what deserves your attention. All the best. Plamen ____________________________________________________________ On Wed, Mar 7, 2018 at 9:09 PM, Krassimir Markov <mar...@foibg.com> wrote: > Dear Alberto, > > Let imagine that we are at the naturist beach, i.e. naked. > OK! > You will see all what I am and I will se the same for you. > > Well, will you know what I think or shall I know the same for you? > > Simple answer: NOT! > > No Data base may contain any data about my current thoughts and feelings. > Yes, the stupid part of humanity may be controlled by big data centers. > But all times it had been controlled. Nothing new. > > The pseudo scientists may analyze data and may create tons of papers. > For such “production” there was and will exist corresponded more and more > big cemeteries. > I had edited more than one thousand papers. > Only several was really very important and with great scientific value !!! > > Collection of data is important problem and it will be such for ever. > But the greater problem for humanity is collection of money [image: Smile] > > And the last cause the former! > And the last is many times more dangerous than former! > > Do not worry of Data-ism! > Be worried of the Money-ism! > > I will continue next week because this is my second post ( Thanks to > wisdom of Pedro who had limited Writing-letter-ism in our list! ). > > Friendly greetings > Krassimir > > > > > > > *From:* Alberto J. Schuhmacher <ajime...@iisaragon.es> > *Sent:* Tuesday, March 06, 2018 10:23 PM > *To:* fis <fis@listas.unizar.es> > *Subject:* [Fis] Is Dataism the end of classical hypothesis-driven > research and the beginning of data-correlation-driven research? > > > Dear FIS Colleagues, > > I very much appreciate this opportunity to discuss with all of you. > > My mentors and science teachers taught me that Science had a method, rules > and procedures that should be followed and pursued rigorously and with > perseverance. The scientific research needed to be preceded by one or > several hypotheses that should be subjected to validation or refutation > through experiments designed and carried out in a laboratory. The Oxford > Dictionaries Online defines the scientific method as "a method or procedure > that has characterized natural science since the 17th century, consisting > in systematic observation, measurement, and experiment, and the > formulation, testing, and modification of hypotheses". Experiments are a > procedure designed to test hypotheses. Experiments are an important tool of > the scientific method. > > In our case, molecular, personalized and precision medicine aims to > anticipate the future development of diseases in a specific individual > through molecular markers registered in the genome, variome, metagenome, > metabolome or in any of the multiple "omes" that make up the present > "omics" language of current Biology. > > The possibilities of applying these methodologies to the prevention and > treatment of diseases have increased exponentially with the rise of a new > religion, *Dataism*, whose foundations are inspired by scientific > agnosticism, a way of thinking that seems classical but applied to > research, it hides a profound revolution. > > Dataism arises from the recent human desire to collect and analyze data, > data and more data, data of everything and data for everything-from the > most banal social issues to those that decide the rhythms of life and > death. “Information flow” is one the “supreme values” of this religion. The > next floods will be of data as we can see just looking at any electronic > window. > > The recent development of gigantic clinical and biological databases, and > the concomitant progress of the computational capacity to handle and > analyze these growing tides of information represent the best substrate for > the progress of Dataism, which in turn has managed to provide a solid > content material to an always-evanescent scientific agnosticism. > > On many occasions the establishment of correlative observations seems to > be sufficient to infer about the relevance of a certain factor in the > development of some human pathologies. It seems that we are heading towards > a path in which research, instead of being driven by hypotheses confirmed > experimentally, in the near future experimental hypotheses themselves will > arise from the observation of data of previously performed experiments. Are > we facing the end of the wet lab? Is Dataism the end of classical > hypothesis-driven research (and the beginning of data-correlation-driven > research)? > > Deep learning is based on learning data representations, as opposed to > task-specific algorithms. Learning can be supervised, semi-supervised or > unsupervised. Deep learning models are loosely related to information > processing and communication patterns in a biological nervous system, such > as neural coding that attempts to define a relationship between various > stimuli and associated neuronal responses in the brain. Deep learning > architectures such as deep neural networks, deep belief networks and > recurrent neural networks have been applied to fields including computer > vision, audio recognition, speech recognition, machine translation, natural > language processing, social network filtering, bioinformatics and drug > design, where they have produced results comparable to and in some cases > superior to human experts. Will be data-correlation-driven research the new > scientific method for unsupervised deep learning machines*? *Will > computers became fundamentalists of *Dataism*? > > Best regards, > > AJ > > > --- > Alberto J. Schuhmacher, PhD. > Head, Molecular Oncology Group > > Aragon Health Research Institute (IIS Aragón) > Biomedical Research Center of Aragon (CIBA) > Avda. Juan Bosco 13, 50009 Zaragoza (Spain) > email: ajime...@iisaragon.es > Phone:(+34) 637939901 > > ------------------------------ > _______________________________________________ > Fis mailing list > Fis@listas.unizar.es > http://listas.unizar.es/cgi-bin/mailman/listinfo/fis > > > _______________________________________________ > Fis mailing list > Fis@listas.unizar.es > http://listas.unizar.es/cgi-bin/mailman/listinfo/fis > >
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