Theory, Knowledge and Science Commons^™

Too Much Of A Good Thing? A Governing Knowledge Commons Review Of Abundance In Context, Michael J. Madison, Brett M. Frischmann, Madelyn Sanfilippo, Katherine J. Strandburg

Articles

The economics of abundance, along with the sociology of abundance, the law of abundance, and so forth, should be re-framed, linked, and situated in a common context for empirical rather than conceptual research. Abundance may seem to be a new, big thing, between anxiety over information overload, Big Data, and related technological disruptions. But scholars know that abundance is an ancient phenomenon, which only seemed to disappear as twentieth century social science focused on scarcity instead. Restoring the study of abundance, and figuring out how to solve the problems that abundance might create, means shedding disciplinary blinders and going back …

Government By Code? Blockchain Applications To Public Sector Governance, Pedro Bustamante, Meina Cai, Marcela Gomez, Colin Harris, Prashabnt Krishnamurthy, Wilson Law, Michael J. Madison, Ilia Murtazashvili, Jennifer Brick Murtazashvili, Tymofiy Mylovanov, Nataliia Shapoval, Annette Vee, Martin B. H. Weiss

Articles

Studies of blockchain governance can be divided into analyses of the governance of blockchains (such as rules and power dynamics within a given network) and governance by blockchains (such as how blockchains can be implemented to improve self-governance of community-based peer production networks). Less emphasis has been placed on applications of distributed ledgers to public sector governance. Our review clarifies that the decentralization and distributive features that enable blockchains to link up loosely connected private organizations and public agencies to improve efficiency and transparency of government transactions. However, most blockchain applications lack clear advantages over the conventional digital recording of …

Blockchain Networks As Knowledge Commons, Ilia Murtazashvili, Jennifer Brick Murtazashvili, Martin B. H. Weiss, Michael J. Madison

Articles

Researchers interested in blockchains are increasingly attuned to questions of governance, including how blockchains relate to government, the ways blockchains are governed, and ways blockchains can improve prospects for successful self-governance. Our paper joins this research by exploring the implications of the Governing Knowledge Commons (GKC) framework to analyze governance of blockchains. Our novel contributions are making the case that blockchain networks represent knowledge commons governance, in the sense that they rely on collectively-managed technologies to pool and manage distributed information, illustrating the usefulness and novelty of the GCK methodology with an empirical case study of the evolution of Bitcoin, …

The Republic Of Letters And The Origins Of Scientific Knowledge Commons, Michael J. Madison

Book Chapters

The knowledge commons framework, deployed here in a review of the early network of scientific communication known as the Republic of Letters, combines a historical sensibility regarding the character of scientific research and communications with a modern approach to analyzing institutions for knowledge governance. Distinctions and intersections between public purposes and privacy interests are highlighted. Lessons from revisiting the Republic of Letters as knowledge commons may be useful in advancing contemporary discussions of Open Science.

Data Governance And The Emerging University, Michael J. Madison

Book Chapters

Knowledge and information governance questions are tractable primarily in institutional terms, rather than in terms of abstractions such as knowledge itself or individual or social interests. This chapter offers the modern research university as an example. Practices of data-intensive research by university-based researchers, sometimes reduced to the popular phrase “Big Data,” pose governance challenges for the university. The chapter situates those challenges in the traditional understanding of the university as an institution for understanding forms and flows of knowledge. At a broad level, the chapter argues that the new salience of data exposes emerging shifts in the social, cultural, and …

Knowledge Commons (2019), Michael J. Madison, Brett M. Frischmann, Katherine J. Strandburg

Book Chapters

This chapter provides an introduction to and overview of the knowledge commons research framework. Knowledge commons refers to an institutional approach (commons) to governing the production, use, management, and/or preservation of a particular type of resource (knowledge). The research framework supplies a template for interrogating the details of knowledge commons institutions on a case study basis, generating qualitative data that may be used to support comparative analysis.

Knowledge Commons (2016), Michael J. Madison, Katherine J. Strandburg, Brett M. Frischmann

Book Chapters

This chapter describes methods for systematically studying knowledge commons as an institutional mode of governance of knowledge and information resources, including references to adjacent but distinct approaches to research that looks primarily to the role(s) of intellectual property systems in institutional contexts concerning innovation and creativity.

Knowledge commons refers to an institutional approach (commons) to governing the production, use, management, and/or preservation of a particular type of resource (knowledge or information, including resources linked to innovative and creative practice). Commons refers to a form of community management or governance. It applies to a resource, and it involves a group or …

Commons At The Intersection Of Peer Production, Citizen Science, And Big Data: Galaxy Zoo, Michael J. Madison

Book Chapters

The knowledge commons research framework is applied to a case of commons governance grounded in research in modern astronomy. The case, Galaxy Zoo, is a leading example of at least three different contemporary phenomena. In the first place Galaxy Zoo is a global citizen science project, in which volunteer non-scientists have been recruited to participate in large-scale data analysis via the Internet. In the second place Galaxy Zoo is a highly successful example of peer production, sometimes known colloquially as crowdsourcing, by which data are gathered, supplied, and/or analyzed by very large numbers of anonymous and pseudonymous contributors to an …