Generating New Ideas in a Conference Setting

Post provided by David Warton

This guy had his eureka moment in the bath (although I have had more success in the shower). ©Dun.can

This guy had his eureka moment in the bath (although I have had more success in the shower). ©Dun.can

A few leading reasons for going to a conference are: to present your work and get feedback on it, to find out what others are doing, to meet collaborators and to network. But a conference can also be a great setting for generating completely new ideas. I find that conferences are one of my most likely places for a “eureka moment”.

Surrounded by researchers working on a range of different problems in interesting and often original ways, I’m encouraged to think about things from a different angle. Idea generation is perhaps one of the main benefits of going to a conference – but is the typical conference format is the best way to facilitate that? Or does it focus too much on giving researchers a platform to report on previous research ideas? Continue reading

Towards a More Reproducible Ecology

The following post has been provided by Dr Nick Isaac.

Nick is organising the OpenData and Reproducibility Workshop at Charles Darwin House, London on 21 April 2015 (more information below). He is also an Associate Editor for Methods in Ecology and Evolution.

Macro_finalThe open science movement has been a major force for change in how research is conducted and communicated. Reproducibility lies at the heart of the open science agenda. It’s a broad topic, covering how data are shared, interpreted and reported.

Reproducibility has been advanced by a coalition of publishers (who have been embarrassed by a series of high-profile retractions), funding agencies keen that data should be re-useable after the life of a grant, and young researchers taking a more collaborative attitude than previous generations.

There is now a vast range of tools and platforms to help scientists share data and other materials (e.g. Dryad, Github, Figshare) and to create efficient and reproducible workflows (e.g. Sweave, Markdown, Git and, of course, R). There’s even a MOOC (Massive Open Online Course) in Reproducible Research, run out of Johns Hopkins University.

Ecology has lagged behind wet-lab biology and other disciplines in the adoption of reproducibility concepts and there are few examples of ecological studies that are truly reproducible. To address this, we’re running a one-day workshop at Charles Darwin House, London on Tuesday 21 April entitled OpenData & Reproducibility Workshop: the Good Scientist in the Open Science era. Continue reading