Scholar

Mario Luis Small

H-index: 43
Political science 36%
Sociology 34%
science.org
Women leave academia at higher rates than men at every career stage, and attrition is especially high among three groups: tenured faculty, women in non-STEM fields, and women employed at less prestigious institutions, a #ScienceAdvances analysis finds.
Gender and retention patterns among U.S. faculty
Women faculty are more likely to leave their jobs than men, most often due to workplace climate, rather than work-life balance.
scim.ag

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

victorerikray.bsky.social
This. I’ve often seen people called out for not speaking about something on social media while aware that they were offering important behind-the-scenes support that a public statement would jeopardize.

Folks need to be more careful about what they think they know. There are multiple lanes.
thejosevilson.com
Something I’ve learned over the years:

Just because you don’t see it happen on social media doesn’t mean it’s not happening.

In fact, some of the best community building I’ve seen *has* to happen offline so strategies can get fine-tuned and aligned.

We’ll need to grant more grace in the now.

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

marioluissmall.bsky.social
Another: The most he most wretched social isolate is probably not the one with no person to talk to, but the one forced to avoid everyone they are close to.
4/4
marioluissmall.bsky.social
Who they avoid depends on which topic they are worried about. One bottom line: Close relationships are not, “We are close, therefore I trust you” but “We are close, therefore it’s complicated.”
3/
marioluissmall.bsky.social
In a national survey, avoidance is so common that it is actually fundamental to strong ties, not incidental to them. The topic matters---e.g., people avoid sex more than any other topic---but people avoid loved ones for most topics they worry about. 2/

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

Reposted by: Mario Luis Small

marioluissmall.bsky.social
In fact, the biggest differences -- including gyms vs grocery stores -- are not within cities but between them. The city’s diversity and residential segregation matter. But there is a lot we still don’t know. 4/4
marioluissmall.bsky.social
For the first 10km from home, every additional km takes people to a neighborhood increasingly different from the home. After that, it depends on the city. 3/
marioluissmall.bsky.social
When people go to grocery stores, they go to neighborhoods more racially similar to their own than when they go to any other everyday establishment; when they go to the gyms, to places more racially different. 2/

Reposted by: Mario Luis Small

aissr.bsky.social
🗓️ Register now for the NIAS symposium 'Connecting Urban Inequality to the Built Environment' (June 17-19).

🌆 Explore spatial segregation & urban dynamics with Martin Ruef, Olav Sorenson, @marioluissmall.bsky.social, Nicole Marwell, Sunasir Dutta and Jon Bannister.

nias.knaw.nl/events/conne...
NIAS-symposium Connecting Urban Inequality to the Built Environment | NIAS
nias.knaw.nl

Reposted by: Mario Luis Small

iwashyna.bsky.social
I keep thinking about @marioluissmall.bsky.social’s brilliant book Unanticipated Gains and what the fragmentation of the last 4 years—both IRL and online—means for lost capacity

Reposted by: Mario Luis Small

jeremylevine.bsky.social
Interesting piece by @marioluissmall.bsky.social on the implications of new/big data sources in social science. Focused mostly on social media (for good reason), but I think it applies to other data, too.

To me, big idea is: We gotta rethink how we interpret results.

muse.jhu.edu/pub/1/articl...
Project MUSE - The Data Revolution and the Study of Social Inequality: Promise and Perils
muse.jhu.edu

References

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