Introduction To Data Economics - Chapter 1: On Value, Outcomes, And Data
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.
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Introduction To Data Economics - Chapter 2: Fundamental 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.
Introduction To Data Economics - Chapter 3: Types and Examples of Data Economies
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.
Introduction To Data Economics - Chapter 4: Deeper Dive into Fundamental Concepts
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).
Introduction To Data Economics - Chapter 5: Introducing the Lydion DEOS and its Functions
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.
Prologue: A Primer on Data Economics
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.
Whose Data Is It Anyway?
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.
How Miraculum Started
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.