Science of Engineering

  • engineering is about “creating” the world
    • not “studying” or “describing” it (science does that)
    • engineers try to make things that do not exist in nature (they have to invent them)
      • to do that, they have to study math, physics, biology, mechanics etc. (so they have to study science to have all the information)
      • thus the engineering sciences term comes into play

Forward computations vs. inverse computations

  • inverse computations are often not possible
    • I cannot take value X of lift force and then create a proportionally ideal plane wing for it
    • this is the standard science way (there is a two-way relationship between formulas/properties)
  • often only forward computations are possible
    • inventing something experiment get data use (heuristic) knowledge to improve it experiment etc.
    • it is an iterative process forward
      • involving simulations, experiments etc.
      • inducing heuristic domain knowledge

Engineering sciences add to the physical sciences

  • the Laws of Physics are not enough
    • as the engineers do the deductive forward computations iteratively, they will gain heuristic knowledge (new relationships, properties, additional knowledge etc.)
    • and the engineers then design the artifacts based on laws of physics + the heuristic knowledge
      • this is the way to invent
      • by creating and testing planes, we understand them more, then we create better planes etc.
  • examples: microelectronics from quantum mechanics
    • rocket engineering from fluid dynamics
    • construction from materials science

Conflict with the scientific method and scientific research definition

  • by Karl Popper, everything has to be falsifiable, but if we are trying to invent something new, it does not exist yet, so it cannot be tested, validated, contradicted…
  • so the design and engineering of new artifacts is outside of the scope of scientific research, so it cannot be funded the same ways as proper science research
  • this is why the Science of Design or Design Science exists
    • we need to support this direction
      • because this direction (of design science) did not have big support in the past (lack of academic respect, little funding etc.)
      • normal science was more preferred
    • design method is different from the scientific method (from the first lecture)

Design Science / The Science of Design

  • definition from R. Buckminster Fuller (my words):
    • The function of design science is to solve problems by introducing new artifacts, which will be used by humans and as a result - humans will abandon their previous problem-producing behaviors and devices (artifacts)
    • The humankind is evolving through the design science
  • it represents “learning by doing”
  • it is about constructing, creating, improving
  • it has more intuitive, inductive (not deductive) and often heuristic character
    • normal sciences are more deductive
  • knowledge and insights arise during construction and use
    • so by constructing, I gain experience and knowledge, construct a better artifact, then gain more experience and with this loop (inductive approach/iterations) I get better and better results
Distinguishing Scientific methods
  • in general:
    • formal science
    • explanatory science
    • design science (construction and improvement)
  • in information systems:
    • behavioral science
    • design science
Difference between Design and Design Science
  • it’s about innovativeness:
    • designing an engine vs. designing a completely new type of engine
  • it’s also genericity:
    • designing an engine vs. designing a technique to create new types of engines

Design science in Information Systems

  • there are 3 cycles
    • relevance cycle - links research to real-world problems
    • rigor cycle - grounds the research in knowledge (data, graphs, theories, methods…) and adds new findings back into the knowledge base
    • design cycle - building and evaluating artifacts
  • this is the approach to build science-based solutions for information systems