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Martin Gertler

Learn to Research

Tips for Scientific Working





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Preamble

All students need basic scientific skills and such basic knowledge is helpful to anyone who is involved in scientific studies and results, either privately or professionally.

A scientific paper is always a product that has its goal and should fulfil its purpose. This applies to every term paper at a university, as well as to presentations, project work and final theses. For this reason, learning to write scientific papers will be helpful in studies and professional practice, so that new knowledge can be created through research.

Science is when someone creates new knowledge scientifically!

Therefore, the principles and basics of scientific work cannot be reduced to the formalities of structuring and citation or to research and writing techniques, but rather to a consistently reearch attitude and approach: whoever follows the approach of this book will no longer „write about something“, but want to investigate something – and this with the passion of a researcher.

The first edition of this compilation of the basics of scientific research (2018) was published as a production of the Veganomics Institute to illustrate that even a scientific occupation with the vegan way of life always requires the respective scientific foundations and research results.

Furthermore, the principles of science also apply to other problems and solution goals of individuals and society, which is the reason why this book has been designed to be useful to everyone and to also serves as a companion book to our online course at the URL http://forschenlernen.jetzt (German) / http://learn2research.net (English) – it works as a transcription of all video lessons and follows them in its chapter structure and all headlines.

This second edition is a revision and includes current additions.

 

 

Berlin (Germany), June 2021

Prof. Dr. Martin Gertler

1. Science

Let us first delve into what science itself means and what science can mean for us. So let's take a few looks at the definitions of science. Let's clarify the actual goal of science: to generate knowledge.

Let's learn what elements are essential to the inquiry process, and that our results follow the methods we use.
Some philosophy of science is part of it - and likewise how we can recognize which approach might be "appropriate" for our own research project....

Get involved in these basics. This will help you take the next, practice-oriented steps on a solid foundation.
And check your own learning against the working questions on each assignment sheet!

 

Your task sheet for this chapter

 

It is your companion! Just print it out and put it with you as you work through the lessons, and pick up the tasks directly.

 

  1. What are the main features of the concept of science?
  2. How do the fields of science differ – and what do they have in common?
  3. Describe the interdisciplinary approach using a conceivable example, such as your own project.
  4. Why do the sciences, according to Hans-Peter Dürr, not discover properties of nature – and what is your view on his view that the methods used predetermine the result?
  5. How do you understand Paul Watzlawick's criticism of the idea of a „real reality“ – and what does it mean for your own idea: reinforcement or questioning? What consequences do you draw from this for your own project?
  6. If we don't want to develop general answers, but rather learn how to identify possible solutions: Which ones are already known or even familiar to you?
  7. What consequences for your own first or next investigation could Sir Karl R. Popper's call have for conflicting observations to be sought in order to refute theories and claims?
  8. Discuss – with a view to a question to be explored by yourself – the constructivist view, according to which knowledge cannot refer to reality outside of man, but only to the consciousness of the operations of one's own thinking and procedure.

 

 

What is science?

 

It is easier to answer than the question, in which cases can be spoken of science at all, i.e. when science is approached scientifically and corresponding results are achieved.

Nevertheless, definitions should not be missing in this first chapter – they are indispensable too for scientific work.

Science should be understood in the context of this basic course as an activity of scientific work. Following Balzert et al.

So when can we talk about science? Well, in any case – and here the brand is now set right at the beginning and with all emphasis – only when someone creates new knowledge with science.

To some ears, this may sound like a corny joke, but let us actually state this as a principle: only if we start – on the basis of existing knowledge and with the realization that what is available is not yet sufficient for the specific problem – with the aim of generating the new knowledge required in research, then we will work scientifically.

 

Supplementary remarks

 

Of course, science is a noun. And yet, in your and my mind, I would like to make it a verb, that is, a "do-word": science not as a status, as a category, as something static, but as an activity.

"Science" then means: do it in a scientific way!

No more and no less.

 

1.1 Findings as a Goal

This orientation also applies to your upcoming scientific project: A scientist strives to obtain results that honestly answer his previously well-defined question or help to solve previously comprehensibly analyzed problems.

He does not do this, however, without first having carefully examined which previous answers or solutions to his question already exist - and he brings this previous body of knowledge into his investigation in any case.

This is now about the importance of a consistently scientific approach.

 Anyone who pursues science is therefore looking for a new insight that has been lacking so far. According to the German Science Council, research is a „practice of its own kind, a practice of knowledge that first follows the logic of the search for truth“ (Wissenschaftsrat 2011: 11).

A scientist strives to obtain results that honestly answer his previously well-defined questions or help to solve problems that have previously been comprehensibly analysed, but he does not do so without first carefully checking what answers or solutions have already been offered to his question; and in any case he incorporates these existing knowledge stocks into his research. If these stocks are already sufficient for the knowledge objective, the research project will be regarded as unnecessary and abandoned.

Therefore it is always necessary to inform oneself at the beginning about the already given, current conditions of the science to the concrete question and to consider also possibly already existing opposing positions to the own solution idea.

 

The goal of knowledge in mind

 

This includes collecting information for every scientific project, as well as structuring and making operationalisable the already available data and knowledge. However, such a compilation alone is no longer considered sufficient for a research project, even if it is necessary in the course of a research project – a research project needs a beneficial knowledge goal.

Such an objective can lead to the formation of hypotheses, a theoretical sketch or the review of hypotheses or theories with a view to their applicability, thus preparing drafts or even concepts and strategies for their implementation through scientific procedures.

 

Disciplines

 

The fields of science can be distinguished by type and orientation:

For all of them, they are researching for the deepening and broadening of basic knowledge and for new findings for applicable solutions.

Although they have developed and apply clearly distinguishable methods, they share the fundamental approach of creating new knowledge on the basis of existing knowledge in a systematic, comprehensible and verifiable manner.

 

Differences to other solutions

 

This distinguishes the disciplines of science from other solutions that we know from our everyday life – for example from intuition, from mere practical experience and from trial and error. Without previously proven knowledge that has been methodically and scientifically developed and tested, no one can set out on the path of scientific knowledge gain.

This also opens up the meaning of studying at a university. Those who only want to graduate in order to get a reasonably well paid job have not correctly set their own goal. Employers expect university graduates not only to know the customs of their scientific discipline, but even to be able to apply them, which means systematically generating the new knowledge that is needed in the practical environment of the company in a scientifically manner, i.e. methodically and taking existing knowledge into account.

This applies fundamentally, but also at every moment: When a professional question and challenge comes up, university graduates proceed scientifically – not purely intuitively, relying on practical experience or simply trying it out.

Therefore, this basic knowledge for conduct scientific working is indispensable and important for all of them.

 

Supplementary remarks


So we will have to define a cognition goal. Not a practice goal, not a revenue goal, not a communication goal, and not a learning goal, certainly not a personal goal (such as getting the degree and title) - it's all about an insight goal.

Keeping this clearly in mind is essential!

As with every path through the environment and through life: the goal determines the path.

But: it must be an attainable goal.

o the question immediately resonates: can I actually reach the desired goal of cognition with the means available to me...?

We will also think about this.

1.2 Doing Research

It is about a clear attitude: research! So no more "essays"!

From practical experience at universities, it can be stated that every scientific paper always needs a clear problem, objective and research question in order to be able to achieve a result.

Thus, scientificity is not understood here as reduced to formalities - such as structure, citations, indexes, etc. - but rather as the ability to understand the research question.

 

On April 1, 2015, someone at „gutefrage.net“ wanted to know: „When will scientific work be used?“ In reply, there appeared briefly and just within a few minutes this: „It will be used in research“ (cf. KoraChany 2015).

 

 

Figure 1: Question and answer at gutefrage.net

(Source: Screenshot of a question by KoraChany 2015)

 

The reverse conclusion to this correct answer is: If scientific work is to be carried out, research is necessary, so it cannot be a mere essay.

In this respect, scientific work should be defined as research work, so that the practice to be found at some universities is also contradicted, scientific work may „be produced according to scientific quality criteria, but cannot make a substantial contribution to research“ (Balzert et al. 2011: 54).

However, the authors themselves ruled out this possibility a short time later by stating that a question should not be dealt with as part of a scientific work without relevance for their own scientific discipline (cf. Balzert et al. 2011: 63; cf. also the scientific quality criterion „relevance“ there: 32 ff.).

The Science Council also underlines that good research is distinguished by relevance (cf. Science Council 2011: 11), whereby relevance is only mentioned in science if a research contribution is actually created.

From many years of practical experience at universities it can be concluded that every scientific work always requires a clear problem, objective and research question in order to be able to achieve a result, otherwise no scientific work arises.

Here, scientificity is thus not understood as reduced to formal matters – such as structure, citations, directories etc. And since every researcher is required to bring in the existing findings of his own field of science, he adds his new knowledge there and thus makes a research contribution, however high or low this may be assessed by others.

 

Supplementary remarks

 

Yes, scientific work is indeed solely about research work.

An investigation is at hand, not an essay!

Thus it is not (only) about formal characteristics of researching, but it is now about the substance: this is research.

For this basic elements will be indispensable, which stand in a logical connection: Problem definition, goal setting and research question. More about this later!

 

1.3 Method-guided Results

Without existing methods no valid results!

 

We always investigate with criteria of measuring and judging, which predetermine our results.

What we have not measured or analyzed is not available to us as a result - and it would possibly be exactly these results, often data, which we need for the explanation or solution of a problem.

 

The former director of the Max Planck Institute in Munich, Hans-Peter Dürr, made it clear in an exciting interview about his approach and results, how just someones own approach determines his results.

 

 

Figure 2: Interview with Hans-Peter Dürr

(Source: Screenshot from Gertler 1997b)

 

Dürr said in his statement that he wanted to indicate that the reality of the natural scientist is one that appears to him as such, but that it is not the actual reality of nature.

He used the parable of a fisherman who had come to two „basic laws of fishing“ on the basis of his personal experience of years of fishing: firstly, all fish were larger than five centimetres, and secondly, all fish had gills.

The fisherman simply calls both of these basic laws, since these facts have proved so true with every catch that he can assume that this will always be the case in the future.

Then the fisherman met with the philosopher, who told him that the five-centimeter statement was certainly not a fundamental law: the mesh size of the net had rather determined that smaller fish could not be caught. But the fisherman was not impressed, because what he could not catch with his net was simply not fish for him.

He, Hans-Peter Dürr, transfers this image to the natural sciences, which again and again claimed that they had found something and that what they found was a characteristic of nature – and not rather a characteristic that nature reveals to them through their measuring methods and so on. (cf. Hans-Peter Dürr in Gertler 1997b from 22:30 until 24:22)

In this case, it was the mesh size of the net that determined what could be caught and thus declared and examined as fish. The method of measurement and its possibilities have noticeable consequences for the result, and to a significant degree – the parable made this clear.

More generally, we always examine with criteria measuring and judging that actually predetermine our results; what we have not measured or analyzed is not available to us as a result – and it may be precisely these results, often data, that we need to explain or solve a problem.

And another thing: on the basis of the data we have obtained, we are quickly tempted to make general statements, and then the laws of logic such as: Since this is – as is perhaps often the case – a fundamental problem on which we now have data and could come up with a solution, we could draw one or two general conclusions from it.

Can we really? No. Scepticism is the order of the day – and this is exactly what Hans-Peter Dürr encouraged us to do, because his fisherman had invented that universally valid „basic law of fishing“, according to which fish are always at least five centimeters long simply because of the mesh size of his net, whereas the fisherman's neighbour and competitor might throw out a net whose mesh is eight centimeters long; his „basic law“ would then mean that fish are always at least eight centimeters long? (Reading tip: Dürr 2011)

 

Interdisciplinary work

 

When the scientist Hans-Peter Dürr has the history of the fishing net and its meshes in mind, he is as a physicist at work, measuring and determining his result based on the data – right down to the natural law.

Other sciences have different approaches: in the humanities, for example, logic, plausibility and understanding are among the necessary tools of the scientist's trade; in the social sciences, for example, contextual knowledge is gained and deepened statistically and empirically.

And if the methods of their own discipline are sometimes not sufficient for them, scientists also go beyond their own borders and conduct interdisciplinary research; in the course of their project they then incorporate phases in which they make useful use of instruments from other disciplines. For example, empirical methods of social science are often also used by other disciplines to support the formation of hypotheses or theories or to test the suitability and validity of a thesis for everyday use. (Reading tip: Jungert 2010)

 

Supplementary remarks

 

I was really blown away when I met Hans-Peter Dürr.

It was 1997. He was still director of the Max-Planck-Institute in Munich and former assistant of Werner Heisenberg. As an astrophysicist, he looked very methodically at everything that is (or seems to be) there and that moves.

I came from the humanities, he was a natural scientist.

With my camera team I was with him to record statements for my big TV documentary series "From Stardust - Man in the Cosmos".

I suspected that in "my" humanities everything was rather in motion, constantly new impulses, even philosophical "schools".

But Hans-Peter Dürr made it clear to me that we are always guided in thinking, acting and in our results, even determined by basic conditions.

So whatever our, and therefore also your result will be: It will inevitably be determined by the methods we use!

Should this make us sad - or perhaps a little bit happy...?

 

1.4 The Truth of the Results

 

Is everything just relative?

 

Here one can really say: Everything is relative...! Because now we open up this insight: In scientific work we do not learn solution steps that can always be repeated in terms of content, but rather we learn fundamentally and thus transferably the procedures for determining solution possibilities as such.

Earlier, Hans-Peter Dürr had already made clear in his parable of the fishing net what paradigm the sciences determine: they search for truth and all too willingly want to make binding statements about it – which is not only in the nature of the researcher, but often also results from the expectations of his clients.

It suggests that we take a closer look at this claim – and do so in a thoroughly critical manner.

We will talk to the psychotherapist and constructivist Paul Watzlawick about the theoretical demands that Sir Karl Raimund Popper has given us on the path of scientific work and we will encounter other paradigms of science with which we must be familiar.

 

Outdated views

 

Paul Watzlawick in an interview at his former workplace at the Mental Research Institute in Palo Alto, California in 1997, had already pointed out that in his subject, psychotherapy, it is still assumed that there is a „real reality“ which the so-called mentally normal and thus above all the therapists are aware of, whereas the so-called mentally ill people have a distorted view of this reality.

This view has long been abolished in other branches of science and is simply no longer tenable, he said.

 

 

Figure 3: Interview with Paul Watzlawick

(Source: Screenshot of Gertler 1997c)

 

In today's epistemology, it is the task of science to develop procedures that are effective for a very specific purpose:“This may very well mean that in five years' time this current, best way of dealing with the problem will already be replaced by a better way“ (Watzlawick in Gertler 1997c).

This epistemological view also suggests not wanting to achieve general and timelessly valid findings, but to concentrate on the concrete and current purpose of the solution of a possibly even locally limited existing problem of knowledge and to really limit oneself to it.

If we want to follow Paul Watzlawick's view and get involved in possible questions of veganomics for example, thus the vegan economy in the narrower and broader sense, we'll no longer ask: How can farmers grow bio-vegan in order to achieve economic returns and not go bankrupt? or: What is the difference between managing a vegan and a conventional supermarket?

We must get away from general attempts to respond, because in fact they are as good as never possible and true – we must instead focus on attempts to solve very specific and limited challenges.

Doesn't scientific work then always stick to detail? What can I learn from it and take with me if I am allowed only to repeatedly find out the factors and criteria for individually valid results?

The answer to this may be: We do not learn any solution steps that can always be repeated in terms of content, when working scientifically, but we learn the procedures for identifying possible solutions per se.

 

 

Paul Watzlawick has given us the idea that it is the task of science to develop procedures that are effective for a specific purpose; the more and the more often we ourselves develop such procedures as solutions, the better we will be trained in developing scientific solutions.

This is precisely why we always need our own practice of scientific work, as it is realized in the university environment through appropriate assignments in homework, project work and final theses.

 

Supplementary remarks

 

Now that's something! So science doesn't produce universal truths. Would you have thought so?

Yes or no - do you realize that this will now apply to your own research endeavor...?

Paul Watzlawick had told us in the video lesson: The task of science is to develop procedures that are effective for a very specific purpose.

You could now conclude from this that you, too, must concentrate solely on your own purpose, on the objective of your research project on a concrete case. Generalizations based on a single finding would be unscientific.