Law Commons^™

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

Katharine Van Tassel

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 …

Cancer's Ip, Jacob S. Sherkow

Articles & Chapters

The state of publicly funded science is in peril. Instead, new biomedical research efforts — in particular, the recent funding of a “Cancer Moonshot” — have focused on employing public-private partnerships, joint ventures between private industry and public agencies, as being more politically palatable. Yet, public-private partnerships like the Cancer Moonshot center on the production of public goods: scientific information. Using private incentives in this context presents numerous puzzles for both intellectual property law and information policy. This Article examines whether—and to what extent — intellectual property and information policy can be appropriately tailored to the goals of public-private partnerships. …

Data Collection, Ehrs, And Poverty Determinations, Craig Konnoth

Publications

Collecting and deploying poverty-related data is an important starting point for leveraging data regarding social determinants of health in precision medicine. However, we must rethink how we collect and deploy such data. Current modes of collection yield imprecise data that is unsuited for research. Better data can be collected by cross-referencing other sources such as employers and public benefit programs, and by incentivizing and encouraging patients and providers to provide more accurate information. Data thus collected can be used to provide appropriate individual-level clinical and non-clinical care, and to systematically determine what share of social resources healthcare should consume.