"For an idea that does not at first seem insane, there is no hope." - Albert Einstein
In the last 20 years there has been a dramatic increase in the complexity of experiments and publications in Biology. This problem is specially severe in neuroscience, since in this field experiments often attempt to integrate across different sub-disciplines and levels of complexity, including, molecular, cellular, systems, behavioral, cognitive and clinical neuroscience.
This multidisciplinary integration process involves a plurality of technologies, concepts and expertise that result in research papers with complex results and implications. This problem is further compounded by the unprecedented proliferation of the scientific literature. Neuroscience, for example, includes nearly two million research articles reporting approximately 20 million experiments.
To address this growing problem, our laboratory developed a framework and as set of algorithms to create maps (simplified abstractions) of causal information in research findings that can be used to integrate information and guide research planning. Based on this framework and algorithms, we developed a free web application that helps biologists keep track and interact with causal information in research papers ( www.researchmaps.org).
We are looking for neuroscience students to helps us with our researchmaps project! This is a great opportunity for students interested in learning how neuroscientists integrate and plan experiments! Contact us!
For a recent Ray Kurzweil's newsletter article on our researchmaps work click here...
- Silva, AJ, Landreth, A, Bickle, J. Engineering the next revolution in neuroscience: the new science of experiment planning. Book from Oxford Press 2013
- Landreth, A, Silva, AJ, The Need for Research Maps to Navigate Published Work and Inform Experiment Planning Neuron (PDF)