Author’s Corner: Is fame fair?

Guest post by Amy Yu and César A. Hidalgo, MIT Media Lab, Cambridge, Massachusetts, USA

Is fame superficial? Or can it be a signal of accomplishment?

In a world where many media outlets seem dominated by characters of inexplicable fame (such as the Kardashians), asking ourselves if our social reward systems are misfiring is both a fair question and a relevant one. The relevance of this question stems from the fact that humans are social learners – we are a species whose success depends on the ability of individuals to learn from others. But choosing whom to learn from, in a world populated by more people than we can meet, is not easy. To facilitate those choices, humans have evolved cognitive biases that nudge us to learn from those who demonstrate skill, accomplishments, and also, fame or prestige[1]. Continue reading

Bloggers And Neuro-Tweeps Engaging Recreationally – or BANTER!

Guest post by Helena Ledmyr, INCF

In 2010, BANTER started with a “tweet-up” (which is exactly what it sounds like, a meet-up of people who know each other from twitter) at a bar in San Diego during the annual meeting of the Society for Neuroscience (SfN). Natural born entertainer, @doc_becca, decided to make this a standard feature of the unofficial SfN program and ever since, BANTER has been an increasing success with neuroscience “tweeps” and bloggers. I ran some @symplur analytics for #sfn15 (official twitter hashtag for the main conference) to get this great dataviz on tweeps using the tag from Sept 16–Nov 16. There are more than 40 people among the top #sfn15 tweeps who also attended BANTER, which is a nice correlation. Are you in the picture? Continue reading

A snapshot of life on the savannah

Guest post by Todd J. Vision, Dryad Digital Repository. This blog was first posted on Dryad News & Views on Tuesday, June 9th 2015.

Dryad’s latest featured data package is from Alexandra Swanson and colleagues at the Snapshot Serengeti project, and accompanies their peer-reviewed article in Scientific Data. It provides a unique resource for studying the one of the world’s most extraordinary mammal assemblages and also for studies of computer vision and machine learning. In addition, data from Snapshot Serengeti is already being used in biology and computer science classrooms to enable students to work on solving real problems with authentic research data. Continue reading

BioSharing wants your input

Guest Post by Dr. Allyson Lister, Knowledge Engineer, BioSharing & ISA-Tools, University of Oxford e-Research Centre
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BioSharing‘s Information Resources are curated and searchable web-based registries of linked information about content standards (broadly including minimum information reporting requirements, terminologies and representation formats/models), databases, and (progressively) journal and funder policies in the life sciences. Continue reading

Opening the bridges for life science data

Guest blog by Dr Stephanie Suhr, Project Manager of BioMed-Bridges – a project coordinated by EMBL-EBI on behalf of ELIXIR

Say you are studying a disease in human patients, such as diabetes and obesity, and you are looking at the human DNA sequence to try and find out whether specific mutations could be contributing to it. As all mammals shared a common ancestor approximately 80 million years ago, their genomes show great similarities. This means that non-human mammals can be used as experimental models for human disease. So, to narrow down the number of suspects (disease causing mutations), you might want to compare the human genome with that of a well-established experimental model – such as the mouse – showing the same condition (phenotype): if these mice have the same mutations, this would provide an indication that the genes in question have the same function in both organisms. You have now found mouse models you can use to study the human disease, or you may look deeper into the pathways behind glucose metabolism in which these genes are involved. Continue reading