Jennifer Hinkel

If it’s unclear why crypto-based blockchains are challenging for the health care sector to adopt, or the scientific and economic reasons that many ICOs and tokens have failed when it comes to health data applications, take a deeper dive into why the team that built Lydion built a specific platform for health care applications.

We can use today’s technologies to protect, secure, and trade health data like the valuable asset it is, turning to the finance sector’s blueprints for banks. If data is money, why aren’t we treating it that way?

When Google and Ascension Health teamed up to aggregate the data of millions of patients, only a few groups even batted an eye. Three years later, a Nightingale continues to fly under the radar. Should patients be giving up their data so easily? An update on Project Nightingale and Google’s aggressive moves on health data.

In a traditional economic system, third parties generate demand for currencies by requiring their use for various economic “loops”—such as paying taxes or receiving wages. Data economic systems invert those loops, allowing individuals or organizations that perform work and create value to also generate tokens of value useful within the system.

Regenerative agriculture is poised to transform how farmers, consumers, and goods producers perceive the broader impact of their actions and products on the world.

A brief introduction to the science of Data Economics, the motivations behind the discipline, and the Lydion DEOS software engine that brings Data Economies to life through Lydion DENETs (Data Economics Networks). Also serves as a prologue to the Introduction to Data Economics series of papers.

Chapter 5 introduces the Lydion DEOS as an implementation of a Data Economics Operating System (DEOS) implementing the Data Economic concepts outlined in Chapters 1 to 4, and outlines the functions and methodology of the Lydion DEOS in implementing Data Economic Frames through Lydion DAMs (Data Asset Markets) and the Lydion DENETs (Data Economic Networks) that connect them.

The use of digital data and Data Economic science enables us to get closer to the goal of truly understanding outcomes in health.

Chapter 4 of Introduction to Data Economics dives deeper into the Fundamental Concepts introduced in Chapter 2 and explores such topics as Data Economic Frames, Data Asset Markets (DAMs) and their components, Data Economic Networks (DENETs).

In Chapter 3 of the Introduction to Data Economics series, we explore the “Mixed” and “Pure” Data Economies along with real-world examples for each type that help build intuitive understanding of Data Economic Frames and other key concepts.

In “Chapter 2: Fundamental Concepts”, we outline and summarize the fundamental concepts driving Data Economics and the Lydion DEOS as a starting point for further exploration of Data Economics and Lydion technology, as other more advanced papers will often refer back to concepts first introduced in this paper.

This chapter begins the Introduction to Data Economics series and explores the roots of Data Economics: the growing need for the expansion of the language of expressing and communicating value to address the “big” challenges and opportunities we face, and by extension the need to expand the frameworks offered by the field of economics.