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.



On Wed, Mar 7, 2018 at 9:09 PM, Krassimir Markov <> 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 <>
> *Sent:* Tuesday, March 06, 2018 10:23 PM
> *To:* fis <>
> *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:
> Phone:(+34) 637939901
> ------------------------------
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