Law Commons^™

Digital Cluster Markets, Herbert J. Hovenkamp

All Faculty Scholarship

This paper considers the role of “cluster” markets in antitrust litigation, the minimum requirements for recognizing such markets, and the relevance of network effects in identifying them.

One foundational requirement of markets in antitrust cases is that they consist of products that are very close substitutes for one another. Even though markets are nearly always porous, this principle is very robust in antitrust analysis and there are few deviations.

Nevertheless, clustering noncompeting products into a single market for purposes of antitrust analysis can be valuable, provided that its limitations are understood. Clustering contributes to market power when (1) many customers …

The Law Of Employee Data: Privacy, Property, Governance, Matthew T. Bodie

All Faculty Scholarship

The availability of data related to the employment relationship has ballooned into an unruly mass of personal characteristics, performance metrics, biometric recordings, and creative output. The law governing this collection of information has been awkwardly split between privacy regulations and intellectual property rights, with employees generally losing on both ends. This Article rejects a binary approach that either carves out private spaces ineffectually or renders data into isolated pieces of ownership. Instead, the law should implement a hybrid system that provides workers with continuing input and control without blocking efforts at joint production. In addition, employers should have fiduciary responsibilities …

Biobanks As Innovation Infrastructure For Translational Medicine, W. Nicholson Price Ii

Book Chapters

Biobanks represent an opportunity for the use of big data to drive translational medicine. Precision medicine demands data to shape treatments to individual patient characteristics; large datasets can also suggest new uses for old drugs or relationships between previously unlinked conditions. But these tasks can be stymied when data are siloed in different datasets, smaller biobanks, or completely proprietary private resources. This hampers not only analysis of the data themselves, but also efforts to translate data-based insights into actionable recommendations and to transfer the discovered technology into a commercialization pipeline. Cross-project technological innovation, development, and validation are all more difficult …

Exploring The Interfaces Between Big Data And Intellectual Property Law, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

This article reviews the application of several IP rights (copyright, patent, sui generis database right, data exclusivity and trade secret) to Big Data. Beyond the protection of software used to collect and process Big Data corpora, copyright’s traditional role is challenged by the relatively unstructured nature of the non-relational (noSQL) databases typical of Big Data corpora. This also impacts the application of the EU sui generis right in databases. Misappropriation (tort-based) or anti-parasitic behaviour protection might apply, where available, to data generated by AI systems that has high but short-lived value. Copyright in material contained in Big Data corpora must …

Toward The Personalization Of Copyright Law, Adi Libson, Gideon Parchomovsky

All Faculty Scholarship

In this Article, we provide a blueprint for personalizing copyright law in order to reduce the deadweight loss that stems from its universal application to all users, including those who would not have paid for it. We demonstrate how big data can help identify inframarginal users, who would not pay for copyrighted content, and we explain how copyright liability and remedies should be modified in such cases.

Automation And Predictive Analytics In Patent Prosecution: Uspto Implications And Policy, Tabrez Y. Ebrahim

Faculty Scholarship

Artificial-intelligence technological advancements bring automation and predictive analytics into patent prosecution. The information asymmetry between inventors and patent examiners is expanded by artificial intelligence, which transforms the inventor-examiner interaction to machine-human interactions. In response to automated patent drafting, automated office-action responses, "cloems" (computer-generated word permutations) for defensive patenting, and machine-learning guidance (based on constantly updated patent-prosecution big data), the United States Patent and Trademark Office (USPTO) should reevaluate patent-examination policy from economic, fairness, time, and transparency perspectives. By conceptualizing the inventor-examiner relationship as a "patenting market," economic principles suggest stronger efficiencies if both inventors and the USPTO have better information …

The Drug Repurposing Ecosystem: Intellectual Property Incentives, Market Exclusivity, And The Future Of "New" Medicines, Sam F. Halabi

Faculty Publications

The pharmaceutical industry is in a state of fundamental transition. New drug approvals have slowed, patents on blockbuster drugs are expiring, and costs associated with developing new drugs are escalating and yielding fewer viable drug candidates. As a result, pharmaceutical firms have turned to a number of alternative strategies for growth. One of these strategies is "drug repurposing"-finding new ways to deploy approved drugs or abandoned clinical candidates in new disease areas. Despite the efficiency advantages of repurposing drugs, there is broad agreement that there is insufficient repurposing activity because of numerous intellectual property protection and market failures. This Article …

Copyright And The Use Of Images As Biodiversity Data [Forum Paper], Willi Egloff, Donat Agosti, Puneet Kishor, David J. Patterson, Jeremy A. Miller

Concepts in Animal Parasitology Textbook

Taxonomy is the discipline responsible for charting the world’s organismic diversity, understanding ancestor/descendant relationships, and organizing all species according to a unified taxonomic classification system. Taxonomists document the attributes (characters) of organisms, with emphasis on those can be used to distinguish species from each other. Character information is compiled in the scientific literature as text, tables, and images. The information is presented according to conventions that vary among taxonomic domains; such conventions facilitate comparison among similar species, even when descriptions are published by different authors.

There is considerable uncertainty within the taxonomic community as to how to re-use images that …

The Data-Pooling Problem, Michael Mattioli

Articles by Maurer Faculty

American innovation policy as expressed through intellectual property law contains a curious gap: it encourages individual research investments, but does little to facilitate cooperation among inventors, which is often a necessary precondition for innovation. This Article provides an in-depth analysis of a policy problem that relates to this gap: increasingly, public and private innovation investments depend upon the willingness of private firms and institutions to cooperatively pool industrial, commercial, and scientific data. Data holders often have powerful disincentives to cooperate with one another, however. As a result, important research that the federal government has sought to encourage through intellectual property …

Big Data, Patents, And The Future Of Medicine, W. Nicholson Price Ii

Articles

Big data has tremendous potential to improve health care. Unfortunately, intellectual property law isn’t ready to support that leap. In the next wave of data- driven medicine, black-box medicine, researchers use sophisticated algorithms to examine huge troves of health data, finding complex, implicit relationships and making individualized assessments for patients. Black-box medicine offers potentially immense benefits, but also requires substantial high investment. Firms must develop new datasets, models, and validations, which are all nonrivalrous information goods with significant spillovers, requiring incentives for welfare-optimizing investment. Current intellectual property law fails to provide adequate incentives for black- box medicine. The Supreme Court …

Disclosing Big Data, Michael Mattioli

Articles by Maurer Faculty

This Article reveals that the law is failing to adequately encourage producers of “big data” to disclose their most innovative work to the public. “Big data” refers to a new industrial and scientific phenomenon that holds the potential to transform diverse industries—from medicine, to energy, to online services. At the heart of this phenomenon are innovative and complex practices by which experts shape featureless digital records into valuable information products. The fact that these big data practices are unlikely to be widely disclosed to the public is worrisome for familiar reasons: the law generally prefers to induce technological disclosure in …

Big Business, Big Government And Big Legal Questions, Michael Mattioli, Todd Vare

Articles by Maurer Faculty

No abstract provided.

Intellectual Property And Public Health – A White Paper, Ryan G. Vacca, Jim Chen, Jay Dratler Jr., Tom Folsom, Timothy Hall, Yaniv Heled, Frank Pasquale, Elizabeth Reilly, Jeff Samuels, Kathy Strandburg, Kara Swanson, Andrew Torrance, Katharine Van Tassel

Akron Law Faculty Publications

On October 26, 2012, the University of Akron School of Law’s Center for Intellectual Property and Technology hosted its Sixth Annual IP Scholars Forum. In attendance were thirteen legal scholars with expertise and an interest in IP and public health who met to discuss problems and potential solutions at the intersection of these fields. This report summarizes this discussion by describing the problems raised, areas of agreement and disagreement between the participants, suggestions and solutions made by participants and the subsequent evaluations of these suggestions and solutions.

Led by the moderator, participants at the Forum focused generally on three broad …

Intellectual Property And Public Health – A White Paper, Ryan G. Vacca, James Ming Chen, Jay Dratler Jr., Thomas Folsom, Timothy S. Hall, Yaniv Heled, Frank A. Pasquale Iii, Elizabeth A. Reilly, Jeffrey Samuels, Katherine J. Strandburg, Kara W. Swanson, Andrew W. Torrance, Katharine A. Van Tassel

Law Faculty Scholarship

On October 26, 2012, the University of Akron School of Law’s Center for Intellectual Property and Technology hosted its Sixth Annual IP Scholars Forum. In attendance were thirteen legal scholars with expertise and an interest in IP and public health who met to discuss problems and potential solutions at the intersection of these fields. This report summarizes this discussion by describing the problems raised, areas of agreement and disagreement between the participants, suggestions and solutions made by participants and the subsequent evaluations of these suggestions and solutions. Led by the moderator, participants at the Forum focused generally on three broad …

Intellectual Property And Public Health – A White Paper, Ryan G. Vacca, James Ming Chen, Jay Dratler Jr., Thomas Folsom, Timothy S. Hall, Yaniv Heled, Frank A. Pasquale, Elizabeth A. Reilly, Jeffery Samuels, Katherine J. Strandburg, Kara W. Swanson, Andrew W. Torrance, Katharine A. Van Tassel

Faculty Scholarship

On October 26, 2012, the University of Akron School of Law’s Center for Intellectual Property and Technology hosted its Sixth Annual IP Scholars Forum. In attendance were thirteen legal scholars with expertise and an interest in IP and public health who met to discuss problems and potential solutions at the intersection of these fields. This report summarizes this discussion by describing the problems raised, areas of agreement and disagreement between the participants, suggestions and solutions made by participants and the subsequent evaluations of these suggestions and solutions. Led by the moderator, participants at the Forum focused generally on three broad …