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Generalizing or generating?

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Presentation on theme: "Generalizing or generating?"— Presentation transcript:

1 Generalizing or generating?
Prof.dr.ir. Taeke M. de Jong Delft, TUD

2 Minnaert

3 De Sonnenborgh in Utrecht

4 Het onderzoek van Minnaert

5 Solar spectrum

6 Atlas of the solar spectrum 1940

7 De medewerkers

8 17 april 1943

9 Arierverklaring

10 Geen colleges, practica en examens

11 Een enclave

12 Onderduikende student-assistenten

13 Radiotelescoop

14 Empirical research generalizes probabilities reduced in verbal language
problem statement (problem isolation) clear aim references starting points hypothesis variables data method content publish

15 Design study begins without an object

16 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists 16

17 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems 17

18 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims 18

19 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims has images as references: forms, types, models, concepts 19

20 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims has images as references: forms, types, models, concepts has no other starting point than this context 20

21 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims has images as references: forms, types, models, concepts has no other starting point than this context has no other hypothesis than a design concept as a possibility 21

22 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims has images as references: forms, types, models, concepts has no other starting point than this context has no other hypothesis than a design concept as a possibility has a content increasing by drawing, calculating and writing 22

23 Design study begins without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims has images as references: forms, types, models, concepts has no other starting point than this context has no other hypothesis than a design concept as a possibility has a content increasing by drawing, calculating and writing publishes by realisation, the medium as the message 23

24 Empirical research generalizes probabilities
problem statement (problem isolation) clear aim references starting points hypothesis variables data method content publish 24

25 You may know probable futures
From empirical research

26 You may design possible futures
Design is not always science, but science is a design! Anything probable is possible, but, not anything possible is also probable. There are improbable possibilities: the core of design

27 Design study generates possibilities
Research produces probabilities by causes Design produces possibilities by conditions

28 You may want desirable futures
Some are probable, Some are possible, others are not.

29 Aims are desirable possibilities, problems undesirable probabilities
Probable futures you do not want Possible futures you want

30 Three language games involved three modes of reason
Modal verb first You ‘can know’, not ‘know can’

31 Field of problems and aims
Problems: probable, but not desirable futures Aims: desirable, but not probable futures

32 Modes of thinking IMAGINABLE POSSIBLE PROBABLE desirable

33 Managerial Cultural Economic Technical Ecological Physical
Layers of the context Managerial Cultural Economic Technical Ecological Physical

34 Levels of the context R = 1m R = 3m R = 10m R = 30m R = 100m R = 300m

35 Context analysis first
Levels Layers

36 Intention Function Structure Form Content
Orders of the object Intention Function Structure Form Content

37 Design study starts without an object
is bound to a managerial, cultural, economic, technical, ecological and spatial context, its stakeholders and specialists can not isolate problems from this coherent field of problems can not isolate a clear target from this coherent field of aims has images as references: forms, types, models, concepts has no other starting point than this context has no other hypothesis than a design concept as a possibility has a content increasing by drawing, calculating and writing publishes with the medium as a message has many ways to study (a book with key words) 37

38 Ways to study

39 Ways to Study and Research urban, architectural and technical design
CONTENTS Introduction Naming and describing Design research and typology Evaluating Modeling Programming and optimizing Technical Study  Design Study Study by design Epilogue Empirical research Study by design Research: the object is determined Study: the object is variable Design research: studying existing designs Typology: more general designerly conclusions Design study: designing in a more ore less determined context (commisioner of programme of rewuirements). Study by design: both object and context are variable. Change between typology and design study. Eerste methodologiecommissie: Priemus en Tzonis o.l.v. Rosemann, indeling Den Draak Tweede methodologiecommissie AI: vd Bergh, Eekhout, de Jong: Twee opdrachten: boek en evaluatie AI-voorstellen Boek: spitsroedenlopen tussen empirici en ontwerpers, nauwelijks auteurs AI-deelnemers Schema: bewerking van een schema van Frieling, laatste bewerking van Frieling niet meer gebruikt.

40 An explicit future context
protects your study against judgements with other suppositions about the future context raises the debate about the robustness of your study in different future contexts makes your study comparable to other studies in comparable contexts raises a ‘field of problems’ instead of an isolated ‘problem statement’ by subtracting desirable futures from the probable ones

41 Explicit impacts within that context
indicate actors and specialists to join the team or take into account imply a societal and personal relevance or fascination imply a field of aims imply actors willing to finance your study could produce a programme of requirements before you have a precise study proposal !

42 Design variables R=1m (0.3-3m)

43 Design variables R=3m (1-10m)

44 Design variables R=10m (3-30m)

45 Design variables R=30m (10-100m)

46 Design variables R=100m (30-300m)

47 Design variables R=300m (0.1-1km)

48 Form is dispersion in space

49 Variables dispersed in space

50 Spotmap The Hague

51 Spotmap Almere 10x10km

52 How to limitate, concentrate
give way to fascinations (motivated concentrations) choose a scale (frame and grain) before an object publish your portfolio evaluating it as field of abilities decide to improve or to extend them in your proposal publish images that fascinate you as a field of means look at them as a professional: which concepts, types, models programmes could you harvest? make your assumptions about the future explicit imagine the impacts your study could have cash your dreams


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