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Some time ago I stumbled across an example how an abstract for Nature should be structured. I think everybody from academia should take a brief look it this, although the nuances might be different depending on your dicipline's academic culture.

Anyhow, it is astonishing how many people—from stumbling students to prestigious professors—fail at writing a decent abstract (e.g., rather a teaser, missing information on method, motivation, and outcome, …). Maybe this example helps writing the next one.

Some of you may have noticed my recent tweets with beer ratings. I am hopefully not developing a drinking habit, but this is rather part of a small personal data science project.

System Thinking is a methodology to explore the dynamics of large, non-linear, complex systems that we find everywhere from politics, sociology, to ecology. 
Understanding the relationships and interactions within these systems can either help to optimize these systems as a whole or help us to understand why doing so isn't as easy as thought.

Recently I wrote an article on school students' mental models of computer science and computer scientists. The article is methodically based on research published in 1957 by the now famous Margaret Mead and Rhoda Metraux.

In their article "Image of the Scientist Among High School Students: A Pilot Study" they studied school children's image of scientists in general (Mead & Metraux 1957).

Trust is essential for the viability of multi-agent systems, such as small groups, organizations, and societies. But how does interpersonal trust evolve, which factors shape trust, and how does trust change, when the underlying system changes?

Nicky Case build an awesome interactive storybook on trust from the game-theory perspective.