title: Innovation in stem cell advocacy: you only get what you can measure.
abstract: We propose that stem cell advocacy must engage in self-analysis to determine how to be maximally effective. For this analysis, eight advocacy elements can be measured: agitation, legislation, regulation, litigation, policy development, collaboration, education and innovation. For several of these elements, we show that stem cell advocates, particularly advocates for human embryonic stem cell research, have been matched by their opponents. This demonstrates the need for combining innovation and collaboration with advocacy-oriented education. To pursue innovative and collaborative education, we propose a 'bench-to-public knowledge' model and present some preliminary observations made with this model for different stem cell types. We also propose development of a semantic web information system to be operated within Internet Cloud/Apps/Social Media. We call this system the 'Stem Cell Information Technology Accelerator Platform'. Toward its construction, we propose formation of a working group to conceive semantic web ontology for stem cell science and its clinical translation into medicine. This ontology would function as a map of the relationships between and among the various informational components comprising discourse on stem cell research and its clinical translation, and would allow various stakeholders to contribute to evolving models of that science and translation. These models could, in turn, support an innovative and collaborative approach to education in furtherance of stem cell advocacy.
authors: Sidley Austin LLP, 787 Seventh Avenue, NY 10019, USA. ajakimo@sidley.com
authors: Alan L
authors: AL
authors: Jakimo
authors: Alan C
authors: AC
authors: Fernandez
mesh_terms: D003254:Consumer Advocacy / Q000639:trends*; D003299:Cooperative Behavior; D016206:Databases, Bibliographic / Q000706:statistics & numerical data; D004059:Diffusion of Innovation; D034462:Dissent and Disputes; D006801:Humans; D059232:Laboratory Personnel / Q000706:statistics & numerical data; D009316:National Institutes of Health (U.S.) / Q000706:statistics & numerical data; D011050:Policy Making; D039781:PubMed / Q000706:statistics & numerical data; D011642:Publications / Q000706:statistics & numerical data; D044968:Regenerative Medicine / Q000706:statistics & numerical data; D012107:Research Design / Q000706:statistics & numerical data; D057905:Stem Cell Research / Q000331:legislation & jurisprudence; D014481:United States; D014894:Weights and Measures