Much like open source software, open science is a path to distributed collaboration. By sharing the data from experiments and investigations open and available, scientists can multiply impact and discovery for teams they've never even met.

Our guest, Saskia de Vries, talks to us about her work at the Allen Institute, including accelerating the pace of discovery by making scientific data available to everyone who wants it.

Credits
Saskia de Vries, guest
Ashley Juavinett, host + producer
Cat Hicks, host + producer
Danilo Campos, producer + editor

You can learn more about the Allen Institute on their website: https://alleninstitute.org/

Read some of Saskia's recent thoughts on sharing data in neuroscience here: https://elifesciences.org/articles/85550

The CRCNS open data repository that Saskia mentions: https://crcns.org/

Read about the FAIR principles for scientific data management and stewardship: https://www.nature.com/articles/sdata201618

Learn more about Ashley:

• https://ashleyjuavinett.com/
• https://mastodon.social/@analog_ashley
• analog-ashley.bsky.social

Learn more about Cat:

• https://www.drcathicks.com/
• https://mastodon.social/@grimalkina
• grimalkina.bsky.social

Can creativity mean more for software than productivity? Do we need to let go of “hardcore developer stuff”? Will getting more people to major in computer science fix everything? Ashley and Cat chat with Change, Technically’s first guest star SUE SMITH about developer learning and the future of software teams as technology changes.

Credits
Sue Smith, guest
Ashley Juavinett, host + producer
Cat Hicks, host + producer
Danilo Campos, producer + editor

While not mentioned in the episode, we would be remiss if we did not link you to Sue's illustrated collections of HTTP status codes:

- Golden Girls variant
- Keanu Reeves variant

Cat mentioned this paper by Dr. Natasha Quadlin as an example of how the same achievement information can be interpreted very differently by biased viewers during hiring:

Quadlin, N. (2018). The mark of a woman’s record: Gender and academic performance in hiring. American sociological review, 83(2), 331-360.

https://journals.sagepub.com/doi/pdf/10.1177/0003122418762291

Dr. Quadlin has many fascinating projects on inequality and a book with Brian Powell tackling questions about inequality and college: https://www.russellsage.org/publications/who-should-pay

Learn more about Ashley:

• https://ashleyjuavinett.com/
• https://mastodon.social/@analog_ashley
• analog-ashley.bsky.social

Learn more about Cat:

• https://www.drcathicks.com/
• https://mastodon.social/@grimalkina
• grimalkina.bsky.social

Neuroscience is the hottest STEM field. Why? What does a neuroscientist actually do? Is the brain some mechanically deterministic box configured at birth? Cat knows Ashley has the answers, and now you will, too.

Credits
Ashley Juavinett, host + producer
Cat Hicks, host + producer
Danilo Campos, producer + editor

For an incisive breakdown of “the crimes against dopamine” please read the piece of that title by Mark Humphries.

The myth of mental illness book that Ashley mentioned was written in 1961 and we don’t really think it’s worth reading.

The longitudinal fMRI study that Ashley contributed to while in graduate school: Stewart JL, Juavinett AL, May AC, Davenport PW, Paulus MP (2015) Do you feel alright? Attenuated neural processing of aversive interoceptive stimuli in current stimulant users. Psychophysiology 52:249–262.

This is the Twitter/X account that highlights when a study happens IN MICE: https://x.com/justsaysinmice. And here’s the creator’s motivation: https://jamesheathers.medium.com/in-mice-explained-77b61b598218

The study that recorded from someone’s brain while they died is Vicente et al. (2022) Enhanced Interplay of Neuronal Coherence and Coupling in the Dying Human Brain. Frontiers in Aging Neuroscience 14. See also this commentary about their claims.

We once again mentioned field-specific ability beliefs. Here’s Cat’s blogpost on her own research.

This study explores the basic dynamics of field-specific ability beliefs and shows their connection to gender inequities in academic disciplines: Leslie, S. J., Cimpian, A., Meyer, M., & Freeland, E. (2015). Expectations of brilliance underlie gender distributions across academic disciplines. Science, 347(6219), 262-265.

Learn more about Ashley:

• https://ashleyjuavinett.com/
• https://mastodon.social/@analog_ashley
• analog-ashley.bsky.social

Learn more about Cat:

• https://www.drcathicks.com/
• https://mastodon.social/@grimalkina
• grimalkina.bsky.social