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Recommend a topic for a future episode #7

Open aprilcs opened 7 years ago

aprilcs commented 7 years ago

This issue is to collect recommendations for future topics.

Recommendations should include what the topic would be, how it relates to issues or innovations in science, and any references or background that support the recommendation.

If you see a recommendation you like, please add a +1!

dasaderi commented 7 years ago

Preprints. It would be awesome to get Jessica Polka from ASAPbio.

Abdelazeem-Elhabyan commented 7 years ago

I would like to recommend Open sources for learning online in field like programming or bioinformatics and genomics These fields are open for anyone to learn online on his own We can ask learners how they discovered their path and how they used online open resources for learning

tsloan1377 commented 7 years ago

I think an episode about open-source scientific hardware would be very interesting. It relates to the accessibility of science, as it allows certain technologies to be more broadly available, and can lower the barrier of entry. Dr Joshua Pearce (Michigan Tech) is a leader here, would be a great interviewee. He has many publications on open hardware such as 3d printers or microscopes: https://www.ncbi.nlm.nih.gov/pubmed/?term=Pearce%20JM%5BAuthor%5D&cauthor=true&cauthor_uid=28488563 and he wrote the manual on how to do it yourself: http://www.appropedia.org/Open-source_Lab

tsloan1377 commented 7 years ago

The transition towards open science. This would be a discussion about a recent trend for organizations to move away from a model of filing for patents for innovations, and towards making all research open and available. Availability of scientific data and publications are a possible subtopic. and another could deal with more recent trends like open lab books (Lab Scribbles), and the open institution (Montreal Neurological Institute).

A few interesting people on this topic are: Dr Aled Edwards (Structural Genomics Consortium) http://www.thesgc.org/about/what_is_the_sgc and Dr Guy Rouleau (Montreal Neurological Institute - open science initiative) http://www.mcgill.ca/neuro/open-science-0

chartgerink commented 7 years ago

Why selective publication (i.e., publication bias) is harmful to science, even if we have meta-analyses, negative results are published a bit (but not equally) and why selective publication occurs (author misinterprets nonsignificant finding as something having failed in the methods, author doesn't submit, editor more likely to reject).

Happy to contribute in discussing this topic as well :-)

GrantRVD commented 7 years ago

In the same vein as @chartgerink's suggestion, it could be very meaningful to have a podcast on reproducibility studies (e.g. those by Ioannidis et al.). Most reporting I see on the topic either paints it as not-an-issue because the measurements don't mean what the lay explanations suggest they do or they hail it as the end of science of X because we have no idea which results are true. Maybe an open-source discussion on the topic will be able to find the line more clearly.

DamienIrving commented 7 years ago

How to improve the state of tertiary science education.

DamienIrving commented 7 years ago

The reproducibility crisis in modern research.

As this survey shows this is a massive issue and the causes for it differ depending on which research discipline you're in, so you might need a series of episodes on different aspects of the issue. e.g: