Preferences for pre-exposure prophylaxis among U.S. military men who have sex with men:results of an adaptive choice based conjoint analysis study

Background: Pre-exposure prophylaxis(PrEP) prevents human immunodeficiency virus(HIV) infection, but its use remains low among U.S. military men who have sex with men(MSM), likely due to mis-matching with personal preferences. We conducted a study to characterize preferences to PrEP measures within this population.Methods: HIV-negative military MSM were recruited through a closed, Lesbian, Gay, Bisexual, and Transgendered(LGBT) military social media group. The survey was anonymous, and consisted of five experimentally varied attributes in service delivery: dosing method, provider type, visit location, lab work evaluation location, and dispensing venue.Relative importance and part-worth utility scores were generated using hierarchical bayes(HB) estimation, and the randomized first choice model was used to examine participation interest across eight possible PrEP program scenarios.Results: A total of 429 participants completed the survey. Among the eight scenarios with varying attributes, the most preferred scenario featured a daily tablet, PrEP injection or implant, along with a military provider, smartphone/telehealth visit, and on-base locations for lab evaluation and medication pick-up. The results also emphasized the importance for providers to be familiar with PrEP prescription knowledge, and to provide interactions sensitive to sexual identity and mental health.Conclusions: A PrEP program consisting of daily tablet is preferred in military healthcare settings is preferred. Longacting implants and injections are also desired.

Global Community of Disaster Risk Reduction Scientists and Decision Makers Endorse a Science and Technology Partnership to Support the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030

At the first gathering of its kind on the role of science in implementing the Sendai Framework for Disaster Risk Reduction 2015–2030,over 750 scientists,policymakers,business people,and practitioners met in Geneva from January 27–29,2016.The UNISDR Science and Technology Conference on the Implementation of the Sendai Framework for Disaster Risk Reduction 2015–2030 fea-

Transdisciplinary Convergence:Intelligent Infrastructure for Sustainable Development

The fast-developing intelligent infrastructure landscape catalyzes transformative new relationships of human,technology,and environment and requires new socio-technical configurations of information practice and knowledge work.With a focus on data as the source of intelligence,this paper aims to explore the shifting scenarios and indicative features of data science solutions for intelligent system applications and identify the evolving knowledge spaces and integrative learning practices in the“smart”landscape.It projects and discusses the democratization of data science platforms,the distribution of data intelligence on the edge,and the transition from vertical to horizontal data solutions in solving intelligent system problems.Through mapping the changing data research landscape,this work further reveals essential new roles of knowledge architects and social engineers in enabling dynamic data linking,interaction,and exploration for transdisciplinary data convergence.