Tacit Design Drives Specific Science

When can design inquiry provide a structured approach for scientists ? Bringing design thinking into their work and enhancing their ability to create innovative products, design inquiry can breeds ( and possibly subconsciously ) incredible new product development process in raw science investigators. More where organizations can leverage the benefits of tacit knowledge and drive innovation breakthroughs can even be more plentiful. What then becomes particularly interesting is when Design and design Thinking have become increasingly encouraging in the scientific effort and as described in "Design Enquiry: Tacit Knowledge and Invention in Science" where the role of tacit knowledge and design thinking emerges via tacit efforts to incorporate skills, experiences, and know-how that are often difficult to articulate and transfer to others in the scientific community but where this type of knowledge is crucial to leading to more innovative solutions in the long run.

This is further imagined and investigated via the exploration of the relationship between tacit knowledge and design thinking in the context of new product development where Tacit knowledge as skills, know-how, and experience that are difficult to articulate and transfer to others can create a pathway for tacit knowledge to be critical and which can lead to more innovative solutions if interacted with via sometimes playful and non linear goal oriented exercises later becoming linear and specific. In fact, design thinking and its counterpart capabilities when integrated into scientific research and development efforts easily leverage and outweigh the benefits of tacit knowledge transfer only.

The efforts of the design mentality as a structured approach to incorporating design thinking into the new product development process, allows Design inquiry to provides a semi-structured method for scientists to integrate and enhancing imagination thus providing scientists and other experts with new perspectives, in for example, recent case studies where designers have been able to collaborate with scientists and make significant contributions to their research such as helping researchers understand the problem of differentiating between tube connections used to deliver medication in hospitals. When designers developed prototypes that allowed early evaluation of avant-garde solutions, this eventually led to the development of international standards for this area. In another example, graphic designers working on scientific data representation helped researchers identify new patterns in their data, leading to new clinical applications of the research. The involvement of designers in these projects has also highlighted the importance of teamwork and recognizing the expertise of all partners involved when in the beginning there was no implicit reason to even do so.

 

                    

   

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History's Heartbeat of Innovation Influence. Next Up: AI

With the advent of.....but X isn't an advent as AI's timing is exactly on-cycle!

By the books ( and by " the math " where the presence of large gravitational forces / shifts warble space time ) so to is it time for another massive warping / evolution to our technological advancement, and it's AI, now making that shift but unlike the web and mobile devices that seem like the horse and buggy in the wake of AI systems easily accessible to designers and engineers. Again, by the math and the initial development of the 1st web browsers and web systems by Tim Burners-Lee at CERN in pre 1991, we saw the 1st general user web interfaces with The Mosaic web browsers about 4yrs later in January 1993. A more formal and very well funded Netscape Navigator firm and it's Initial release date of December 1994 brought the big money / " the 500lb  gorilla " of Microsoft buying a web browser company and then with Microsoft IE in June 1998 ( after a 4yr window ) overtaking Netscape's market dominance and plainly visible in the history of that advancement: web browsing for everyone and client server technology being embedded into everything.

 

With the very first GPT or GPT-1 introduced in June 2018 ( just like Tim Berners-Lee's WWW )  by Dec 2022 and with ChatGTP fully online ( with the planned GTP-4 launch actually ready for 2022 ) the roughly 4yr advancement / evolutionary cycle becomes visible again. This time, with the generally outrageous capabilities that seem almost plug and play into any existing system the GTP-esque series of technologies shows how radical and society changing a technological advancement can be and where it has been able to be adopted so quickly. The capability of code repositories accessible on the fly for auto compilation and usage by any system that can interface with such code repositories means that the GTP-esque capabilities are growing and expanding as fast as developers can prototype possibilities. Image creation with Dall-E, MidJourney, Stable Diffusion, all the way to 3D modeling ( then onto mesh object creation ) from text prompt capabilities and even tensor based holographic imaging systems that can run directly on now affordable mobile phones, the ramifications of what this means for design and engineering could be measured to show a full order of magnitude leap in comparison to web, mobile, etc., technological advancements of the past. And this, was all, roughly, just in 2022.

 

                    

   

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Breaking Innovation Boundaries: Being Late Often Wins

The early ( design ) bird gets the ( innovation ) worm so the saying goes, but what about when scarcity isn’t the case?

 

The reality behind the design and innovation game can come from two different view points when ” success ” factors are evaluated in terms of 1st ever ( and as often supported by patents and trademarks ) and scale ( as often supported by easy access to capital ) focuses and each are very different. The value is then who can get innovation X approved by as many world government patent offices ( and at a substantial cost so to protect said innovation ) vs who can get innovation X into the hands of as many people as humanly possible – and now with Ai via the use of non-human hands. Some may even say that this is a who has deeper minds and/or deeper pockets situation. Both interestingly are correct.

In research completed with an international cast of practicing innovation experts from ” Innovation in International Markets “ we see some of the most startling notations regarding the clear idea that scarcity ( often the entire driving factor of economics ) is not the same for innovation or even invention. The ” race ” to be first ( and thus publish – thus securing copyright and possibly trademark rights ) has been usurped by the internet and internet search engines plus the requirements to disclose all key operating functionalities for patent assignment ( and the incredible costs to secure such legal protections ) is often a game of cat and mouse. It’s research & design & development + patenting vs just do it ( with possibly the same costs as the above ) and with said profits ( thus being a market leader for a specific period of time ) then re-investing, doubling, tripling, or putting even more “down” into said innovation effort with the explicit hope that a larger, after the fact, late entrant, does not just take over. Marketing it seems often slices and dices any innovation effort which can’t afford to defend against the above and especially with today’s Ai based, auto-commenting, auto-posting, and auto-interaction social media systems.

What can then be done? How is riding a wave that is already in motion of more interest then finding waves in the 1st place to firms on the cutting edge of “new” and when design is the differentiating factor ? The reality is that it all comes down to access to users and the ability to easily reach them. In the end, the more difficult it is to reach new users, to work with them to try and then adapt to a demand that is in the process of being created then becomes the underlying factor for success and the innovation game then becomes the largest fish gambit. Information processing from a state, national and international level dictates ” success ” far faster than capital or even ideas. Breakthroughs then often come down to who can reach more, the fastest and easiest. This was not the case in the pre-internet years past, and will most likely be the case in the post-common use everyday robots future we are rapidly innovating towards.

 

                    

   

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