The Mobile School Health Information Initiative: creating and sustaining a free curriculum for P-12 staff to find credible health information

Three health sciences librarians created a curriculum to connect pre-school – grade 12 (P-12) personnel with credible health information. The course focuses on MedlinePlus® and KidsHealth.org®. They obtained external funding to deliver a revised curriculum for free throughout the metropolitan area. The funded portion of the project reached 93 people at 8 sites. Efforts to sustain the program beyond its funded cycle have reached another 33 people. Evaluations indicate the curriculum successfully equips staff to be health information champions within their schools. Participants report increased confidence locating credible health information. Written comments indicate both short-term gains and sustained use of the knowledge

Evolution of an academic-public library parthership

A partnership to improve access to health information via an urban public library system was established in St. Louis, Missouri, in 2011. A multiyear project was outlined that included an information needs assessment, a training class for public library staff, information kiosks at library branches for delivering printed consumer health materials, and a series of health-related programming. The partnership evolved to include social service and community organizations to carry out project goals and establish a sustainable program that met the health and wellness interests of the community

A common rule for decision-making in animal collectives across species

A diversity of decision-making systems has been observed in animal collectives. In some species, choices depend on the differences of the numbers of animals that have chosen each of the available options, while in other species on the relative differences (a behavior known as Weber's law) or follow more complex rules. We here show that this diversity of decision systems corresponds to a single rule of decision-making in collectives. We first obtained a decision rule based on Bayesian estimation that uses the information provided by the behaviors of the other individuals to improve the estimation of the structure of the world. We then tested this rule in decision experiments using zebrafish (Danio rerio), and in existing rich datasets of argentine ants (Linepithema humile) and sticklebacks (Gasterosteus aculeatus), showing that a unified model across species can quantitatively explain the diversity of decision systems. Further, these results show that the different counting systems used by animals, including humans, can emerge from the common principle of using social information to make good decisions