@lcwheeler this is great, thanks for sharing!

@eliezyer This seems to have some of that information and an easy-to-navigate interface . https://www.unitedformedicalresearch.org/nih-in-your-state/

If there’s a group already organizing this, I’d be happy to be included. I can help gather info and create visual content. If there’s none, we can start organizing this. Please reach out to me if you are interested as well. If you agree with this, please share the thread to increase reach! 6/6

This repository can help more scientists teach the public about the benefits of NIH-funded research. I’m not an expert on this, so all the information I’ve seen in bsky is great for getting started. 5/6

It is not so easy to explain all that to the general public, so what I propose is creating a repository with this information (e.g., $ return on every $ NIH invest, cost of research/cores), creating pamphlets with infographics, schematics, etc. 4/6

The ideal scenario is to organize events within your neighborhood or at the nearby metro/train station. Creating events that invite people to the campus is also a good example. It is similar to science outreach, to explain why we need the funding system we have today. 3/6

I mean: go out and meet people and explain to them the benefits of these investments made by NIH, its returns so far, and what we can accomplish in the future. This can be organized by grad. students, postdocs, and faculty. 2/6

Re: NIH IDC cuts. IMO, the best course of action for 90% of the scientists is to get popular support to keep NIH untouched. Getting popular support means they contact their house rep. For that, we need to inform the public about why universities need IDC and what they give in return. 🧵 1/6

I've just watched the movie "I'm still here" and it's really a touching work of art. It truly deserves all the Oscar nominations and the prizes it has won so far.

In the era of Trump 2.0, we're calling on all scientists and friends to advocate and unpack science in a public-facing way. This is much bigger than anyone of us. But if we all do one thing, imagine the cumulative impact!

It need not be a burden. More here, in @thetransmitter

https://www.thetransmitter.org/craft-and-careers/in-your-new-years-resolutions-for-2025-consider-public-outreach/

I can't forget to mention the scidraw.io, which I've used a lot of times https://scidraw.io/

Another resource to share: free and high-quality art for life sciences https://bioart.niaid.nih.gov/

Good quality drawings and schematics are very important to convey your science to others, although sometimes we scientists don't have time to make these, or cannot pay for tools like biorender. I really appreciate this initiative from NIH

Paper resubmission complete 🥂 :ratjam:

Now back to work on the other rebuttal

🚨 New Preprint 🚨 Ever wondered how the HPC supports learning across different contexts? This study, w @SaraASolla & @DisterhoftLab, uncovers a 'universal' memory code in the HPC—consistent across animals and environments! 🧵👇

https://www.biorxiv.org/content/10.1101/2024.10.24.620127v1

@jonny I'm so excited for whoever wins the costume competition, it's such a cool decoration imo

Our lab is hosting the Halloween happy hour in the department. We are going to have a costume contest, so I put together a trophy that is a zombie hand holding a mouse skull for whoever gets the best costume. We used our 3D printing to get it done 👻

Next step is painting it so the hand looks more ghoulish

It took me ~a year to translate Neurodata Without Borders to linkml+pydantic with full abstraction over array/storage backend. Now that I did that, it is taking me ~hours to make interfaces to put NWB in SQL dbs, web APIs for editing and serving NWB datasets (where you can download arbitrary slices of the individual datasets instead of a bigass 100GB HDF5 file), and interconversion between hdf5, dask, and zarr.

Anyway open data in neuroscience is about to get real good.

#neuroscience #linkml #OpenData #OpenScience

@jonny that is really exciting, I've spent a lot of time downloading terabytes of data because so many videos were in the hdf5 files with the neural data. I literally just needed those mb of spike times 😅

Why did they stop placing the author's picture (usually a head shot photo) at the end of their own paper? I find that really cool and it humanizes the research done imo... A paper with several authors could even be a group picture