Monthly Archives: June 2017

The use of social networks associated with increased computer literacy skills in adolescents


It’s a widely held view that adolescents spend far too much time communicating with peers on their smartphones. However, new research published in Large-Scale Assessments in Education could help ease parents’ concerns as it finds a strong positive relationship between students’ computer and information literacy proficiency levels and the frequency of their use of electronic devices for social communication.

Fighting inequality with the help of network science

The way we live in cities—where we go or shop—can have deep effects on the dynamics and wealth of different communities. In this guest post, Thomas Louail and Maxime Lenormand explain how they analyzed credit card transactions data to explore the flow of money in urban areas, discussing the ways in which this tool can help spread wealth more evenly among neighborhoods.

How to help social and behavioral research findings make their way into practice settings


Behavioral interventions are often complex, resource intensive and extend beyond healthcare settings. Combined with the lack a market driven, regulatory structure of medical interventions; behavioural interventions often fail to be adopted. Facilitating the adoption of these interventions is now the priority of the Office of Behavioral and Social Sciences Research (OBSSR). Here to discuss the challenges and opportunities associated with this priority is William T. Riley, author of a commentary on this topic published in Translational Behavioral Medicine.

How can chipmunks, big data, and an ornithologist help students learn about climate change?


The vast digital resources, or “big data”, associated with natural history collections provide invaluable but underutilized opportunities to prepare students to explore, understand, and resolve challenges such as global climate change. A new paper published in Evolution: Education and Outreach describes an online, open-access educational module that harnesses the power of collections-based information to introduce students to climate change, evolutionary, and ecological biology research.