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Robo-investment aversion.
In five experiments (N = 3,828), we investigate whether people prefer investment decisions to be made by human investment managers rather than by algorithms (“robos”). In all of... -
The reasons behind medicine shortages from the perspective of pharmaceutical ...
The aim of this study was to explore the reasons behind medicine shortages from the perspective of pharmaceutical companies and pharmaceutical wholesalers in Finland. The study... -
Heterogeneous groups overcome the diffusion of responsibility problem in soci...
Social norms promote cooperation in everyday life because many people are willing to negatively sanction norm breakers at a cost to themselves. However, a norm violation may... -
Engagement present and future: Graduate student and faculty perceptions of so...
Interest in public engagement with science activities has grown in recent decades, especially engagement through social media and among graduate students. Research on... -
Ten simple rules when considering retirement
This is an article submitted to the Ten Simple Rules series of professional development articles published by PLOS Computational Biology. -
Outcome Reporting Bias in Government-Sponsored Policy Evaluations: A Qualitat...
The reporting of evaluation outcomes can be a point of contention between evaluators and policy-makers when a given reform fails to fulfil its promises. Whereas evaluators are... -
Variability in Costs across Hospital Wards. A Study of Chinese Hospitals
Introduction Analysts estimating the costs or cost-effectiveness of health interventions requiring hospitalization often cut corners because they lack data and the costs of... -
The quest for an optimal alpha
Researchers who analyze data within the framework of null hypothesis significance testing must choose a critical "alpha" level, α, to use as a cutoff for deciding whether a... -
The Effects of Stability and Presentation Order of Rewards on Justice Evaluat...
Justice research has evolved by elucidating the factors that affect justice evaluations, as well as their consequences. Unfortunately, few researchers have paid attention to the... -
Exploring the role of interdisciplinarity in physics: Success, talent and luck
Although interdisciplinarity is often touted as a necessity for modern research, the evidence on the relative impact of sectorial versus to interdisciplinary science is... -
Scientists' Prioritization of Communication Objectives for Public Engagement.
Amid calls from scientific leaders for their colleagues to become more effective public communicators, this study examines the objectives that scientists’ report drive their... -
Viewing the Invisible: Exploring common methodology across disciplines
Viewing the Invisible is a multimedia collaboration that explores common methodology between arts and sciences. Portraits of science influencers were painted while dialogue... -
You don’t have to be rich to save money: On the relationship between objectiv...
Saving is an important financial behavior that provides an individual with psychological security and boosts his/her overall sense of well-being. For this reason, scientists and... -
Inside the decentralised casino: A longitudinal study of actual cryptocurrenc...
Decentralised gambling applications are a new way for individuals to engage in online gambling. Decentralised gambling applications are distinguished from traditional online... -
The mathematics of market timing
Market timing is an investment technique that tries to continuously switch investment into assets forecast to have better returns. What is the likelihood of having a successful... -
dLagM: An R package for distributed lag models and ARDL bounds testing
: In this article, we introduce the R package dLagM for the implementation of distributed lag models and autoregressive distributed lag (ARDL) bounds testing to explore the... -
Disadvantages in preparing and publishing scientific papers caused by the dom...
The success of a scientist depends on their production of scientific papers and the impact factor of the journal in which they publish. Because most major scientific journals... -
BioPETsurv: Methodology and open source software to evaluate biomarkers for p...
Biomarkers can be used to enrich a clinical trial for patients at higher risk for an outcome, a strategy termed "prognostic enrichment." Methodology is needed to evaluate... -
Open source machine-learning algorithms for the prediction of optimal cancer ...
Precision medicine is a rapidly growing area of modern medical science and open source machine-learning codes promise to be a critical component for the successful development... -
An improved collaborative filtering method based on similarity
The recommender system is widely used in the field of e-commerce and plays an important role in guiding customers to make smart decisions. Although many algorithms are available...
