motivation

Design is an essential layer in most endeavors that aim to improve health and human security, though far too often there is a failure to plan for, finance, and deploy design solutions. Design today is such a sprawling set of activities that we are first motivated to define and create an intelligible framework for the connected activities of architecture, environmental design, industrial design, graphic and digital product design, and apparel design, especially in relation to health and human security. In doing so, we aim to make the integration of design less daunting. We also must embrace an understanding that this framework will evolve both rapidly and perpetually with the continued development of artificial intelligence, including:

  1. The underlying technological / scientific advances in AI, and
  2. The products downstream of these technical advances.

In addition to creating a framework of health and human security-related design activities and technological advancement, we are motivated to build a framework of relevant governmental and non-governmental structures (people, workflows, laws & regulations, etc.) and a strategy for integration with these structures, for effective development and implementation of design solutions.

Finally, we are motivated to explore novel approaches to bridging design capabilities and solutions. This involves orienting designers to problems in health and human security that may be beyond their purview, connecting designers to those outside design working to understand and solve these problems, facilitating connection between designers (an architect to a graphic designer, an industrial designer to a digital product designer, and so on), and exploring novel approaches to the finance of design in the service of health and human security.

1
Peter Drucker, Innovation and Entrepreneurship, Harper, 1985, p. 35

2
Ibid, p. 107

open
questions

1

How should we think about proactive versus reactive design solutions to problems in health and human security? For example, why might an architect work on a solution to temporary housing in the wake of a natural disaster or climate displacement, versus working on housing that is more resilient in the first place?

2

What AI tools are most relevant to design practice today? Of these, which are design tools specifically, and which are more general tools that can be connected to design processes? What are some of the most compelling ideas for where these tools are headed and what it means for how design practice will evolve?

3

What are some of the more novel, underexplored avenues of funding for design solutions to problems in health and human security? For example, are there potential roles for crowdfunding or cryptocurrencies?

4

To what extent can new technology help with cost reduction strategies for design solutions?

5

Where and how can cost-reducing strategies be advocated for and implemented in order to create money for design? What if in Chicago for example, instead of spending $1.1 million to build each unit of affordable housing, this was reduced to $400,000, and thus created additional budget for the design of a host of other community and health-building innovations?

6

How do we build awareness and understanding of the potential value of design in improving health and human security among politicians, business leaders, and leaders of non-profits and N.G.O.s? What is the optimal design of companies and institutions to support this?

7

How do we think about designing and building minimum-viable-products and recursive feedback loops in the service of health and human security?

curation

DATA VISUALIZATIONS

Calculating Empires

Kate Crawford & Vladan Joler / 2023

A Genealogy of Technology and Power Since 1500.

Anatomy of an AI System

Kate Crawford & Vladan Joler / 2018

The Amazon Echo as an anatomical map of human labor, data and planetary resources.

READING LIST

Economics of Innovation Detailed Reading List

Matt S. Clancy / 2019

Reading list for an undergraduate course on the economics of innovation.

BOOKS

Where Good Ideas Come From:
The Natural History of Innovation

Steven Johnson / Riverhead Books / 2010

The natural history of innovation.

How Experiments End

Peter L. Galison / University of Chicago Press / 1987

Offers insights into the ways in which experiment and theory interact.

The Idea Factory:Bell Labs and the Great Age of American Innovation

Jon Gertner / Penguin / 2012

“The definitive history of America’s greatest incubator of innovation and the birthplace of some of the 20th century’s most influential technologies.”

ARTICLES

Is Science Mostly Driven by Ideas or by Tools?

Freeman J. Dyson / Science / 2012

“Is science driven by ideas or tools?”

Slow Ideas

Atul Gawande / The New Yorker / 2013

“Why do some innovations spread so swiftly and others so slowly?”

PAPERS

Endogenous Technological Change

Paul M. Romer / Journal of Political Economy / 1990

“The main conclusions are that the stock of human capital determines the rate of growth, that too little human capital is devoted to research in equilibrium, that integration into world markets will increase growth rates, and that having a large population is not sufficient to generate growth.”

Toward an Entrepreneurial Society:
Why Measurement Matters

Carl J. Schramm / Innovations / Winter 2008

“Given the importance of innovation to individuals and societies everywhere, the global inadequacy of tools—even a rigorous vocabulary—to measure innovation and trace its effects is striking.”

Organization Design for Distributed Innovation

Carliss Y. Baldwin / HBS Working Paper 12–100 / 2012

“In the future, … the key problem for organization design will be the management of distributed innovation in … dynamic systems.”

Materialistic Genius and Market Power:
Uncovering the best innovations

Jean Tirole & Glen Weyl / Institut d'Économie Industrielle Working Papers 629 / 2010

“What is the best way to reward innovation?”

Closed or open innovation?
Problem solving and the governance choice

Teppo Felin & Todd R. Zenger / Research Policy / 2014

“In this paper, we treat open innovation—in it's different forms and manifestations—as well as internal or closed innovation, as unique governance forms with different benefits and costs.”

The emergence and diffusion of DNA microarray technology

Tim Lenoir & Eric Giannella / J. of Biomedical Discovery and Collaboration / 2006

“The network model of innovation widely adopted among researchers in the economics of science and technology posits relatively porous boundaries between firms and academic research programs and a bi-directional flow of inventions, personnel, and tacit knowledge between sites of university and industry innovation.”

COLLABORATE

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info@digitalisresearch.com

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