Raw Data A Novel on Life in Science

Authors: Rørth, Pernille
Vividly portrays the competitive world of top-level scientific research with a focus on ethical issues
Author has been active scientist, has led research labs and has been Editor-in-Chief of an important journal in the field of biomedicine
The novel is complemented by an extensive interview with the author

Chloe and Karen are ambitious and independent-minded young scientists, both trying to make their mark in the competitive world of biomedical science. They work in Tom Palmer’s lab at a top-tier research institute in the US. Life in the lab is full of excitement and passion, but also frustrations, jealousy and the fear of being scooped. When honesty and scientificintegrity are questioned in the context of a paper accepted at a prestigious journal, all are deeply affected and everyone must decide what actions to take to save their careers.

Chloe and Karen are ambitious and independent-minded young scientists, both trying to make their mark in the competitive world of biomedical science. They work in Tom Palmer’s lab at a top-tier research institute in the US. Life in the lab is full of excitement and passion, but also frustrations, jealousy and the fear of being scooped. When honesty and scientificintegrity are questioned in the context of a paper accepted at a prestigious journal, all are deeply affected and everyone must decide what actions to take to save their careers.

This must-read text/reference presents an overview of smart information systems for both the private and public sector, highlighting the research questions that can be studied by applying computational intelligence.

With the proliferation of GPS devices in daily life, trajectory data that records where and when people move is now readily available on a large scale. As one of the most typical representatives, it has now become widely recognized that taxi trajectory data provides rich opportunities to enable promising smart urban services.

With the proliferation of GPS devices in daily life, trajectory data that records where and when people move is now readily available on a large scale. As one of the most typical representatives, it has now become widely recognized that taxi trajectory data provides rich opportunities to enable promising smart urban services.