Scientists at UCSB's NCEAS are transforming how complex marine data from the Ocean Health Index is synthesized, communicated and used for coastal management.
New big-data analytics by a City College of New York-led team suggests that both an individual's economic status and how they are likely to react to issues and policies can be inferred by their position in social networks. The study could be useful in maximizing the effects of large-scale economic stimulus policies.
The very nature of crowdsourcing means that ideators can be overwhelmed by the number of ideas generated, rather than inspired by them. In an effort to enhance idea generation within the crowd context, the researchers sought to determine what effect peripheral tasks -- such as rating and combining others' ideas had on ideation performance.
When a group of researchers in the Undiagnosed Disease Network at Baylor College of Medicine realized they were spending days combing through databases searching for information regarding gene variants, they decided to do something about it. By creating MARRVEL (Model organism Aggregated Resources for Rare Variant ExpLoration) they are now able to help not only their own lab but also researchers everywhere search databases all at once and in a matter of minutes.
Community detection is an important tool for scientists studying networks, but a new paper published in Science Advances calls into question the common practice of using metadata for ground truth validation.
In the 2011-12 elections, Russia's government leaders underestimated the power of the internet and it impacted the outcome of the elections and spurred massive demonstrations in response to Vladimir Putin's stage-managing the presidential succession and evidence of widespread fraud. While the effects of internet use on political participation are well understood, the mechanisms of how this happens is unclear. A new study uncovers how social media can drive support for opposition in an autocratic state.
A comparative study on predicting presidential election outcomes using models built on watch data for thousands of television shows has found that simple 'single-show models' can have high predictive accuracy. Given the recent performance of poll-data-driven models in predicting the 2016 US presidential election and the Brexit vote outcomes, models based on television viewership offer an accurate predictive tool, as reported in Big Data.
Having it your way on political websites and seeing only the content that aligns with your beliefs is not good for democracy, according to Ivan Dylko, an assistant professor in the University at Buffalo's Department of Communication and an expert in the political effects of communication technology.
Researchers have developed a new method for assessing the cultural value of landscapes using geotagged photos shared on a social-networking service. Data obtained with this method could help determine which locations should be used for tourism or targeted for environmental protection.
Researchers in Ireland have fabricated printed transistors consisting entirely of 2-dimensional nanomaterials for the first time. This breakthrough could unlock the potential for applications such as food packaging that displays a digital countdown to warn you of spoiling, wine labels that alert you when your white wine is at its optimum temperature, or even a window pane that shows the day's forecast.