[Fis] Simple amswer: NOT!

Koichiro Matsuno CXQ02365 at nifty.com
Wed Mar 14 01:39:07 CET 2018


On 8 March 2018 at 8:10 AM, Plamen L. Simeonov wrote:

 

What do you think about the other more interesting phenomenon recently: the blockchain technology・・・?

 

Folks,

 

Yes, that looks lucrative protocols making our current Internet more secured. But it has some side effects. The likely introduction of that technology under the guise of crypto-currencies into the interlinked network of financial institutions regulated by the central banks such as FRB and ECB may induce an unexpected fragility in the system. One symptom could be the runaway explosion of outstanding accounts because of the P2P (peer-to-peer) nature set free from the control of the regulatory agencies by postponing the clearing of unpaid debts indefinitely. This fragility could easily flare up in any dialogic transactions or discourses unless each participant is sufficiently self-restrained. Of course, there should be no such fragility in the single-authored discourse by definition, while bilateral transactions are inevitable in our everyday life in any case. 

 

   Koichiro Matsuno

 

 

 

 

   Yes, that looks a lucrative technology making our current Internet more secured. But it also has some unwelcome side effect. The likely introduction of that technology under the guise of crypto-currencies into the interlinked network of the central banks such as FRB and ECB may induce an unexpected fragility to the system. One symptom could be the runaway explosion of outstanding accounts because of the P2P (peer-to-peer) nature set free from the control of the regulatory agencies by postponing the clearing of unpaid deficits indefinitely. This fragility could flare up quite easily in any dialogic transactions or discourses unless each participant is sufficiently self-restrained. Of course, there should be no such fragility in the single-authored discourse by definition. 

   Koichiro Matsuno

 

 

 

 

From: Fis [mailto:fis-bounces at listas.unizar.es] On Behalf Of Dr. Plamen L. Simeonov
Sent: Thursday, March 8, 2018 8:10 AM
To: Krassimir Markov <markov at foibg.com>
Cc: FIS <fis at listas.unizar.es>; Alberto J. Schuhmacher <ajimenez at iisaragon.es>
Subject: Re: [Fis] Simple amswer: NOT!

 

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 <markov at foibg.com <mailto:markov at 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 

 

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:  <mailto:ajimenez at iisaragon.es> Alberto J. Schuhmacher 

Sent: Tuesday, March 06, 2018 10:23 PM

To:  <mailto:fis at listas.unizar.es> 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:  <mailto:ajimenez at iisaragon.es> ajimenez at iisaragon.es
Phone:(+34) 637939901


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