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Mario Luis Small

@marioluissmall.bsky.social

2.9K followers 170 following 15 posts

Social scientist | Author of #SomeoneToTalkTo, #PersonalNetworks, #QualitativeLiteracy | Networks. Inequality. Methods | PTY native | Posts occasionally.

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Political science 36%

Sociology 34%

Posts Media Videos Starter Packs

Reposted by Lisa M. Given, Mario Luis Small, Anirban Mukhopadhyay , and 1 more Lisa M. Given, Mario Luis Small, Anirban Mukhopadhyay, Karen Lumsden

Science Magazine @science.org · Dec 23

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

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Reposted by Mario Luis Small

Reposted by Michael Harris, Mario Luis Small

Victor Ray @victorerikray.bsky.social · Jan 26

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.

Jose Vilson, PhD @thejosevilson.com · Jan 25

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.

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Mario Luis Small @marioluissmall.bsky.social · Dec 11

I did! Thank you!

Mario Luis Small @marioluissmall.bsky.social · Dec 10

Great podcast with @ericklinenberg.bsky.social and Kellie Carter Jackson on the importance of physical spaces for community www.theatlantic.com/podcasts/arc...

Best of 'How To': The Infrastructure of Community

Physical spaces can either encourage or discourage relationships. But people also have to be willing to slow down and connect.

www.theatlantic.com

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Mario Luis Small @marioluissmall.bsky.social · Dec 4

I'm happy to hear that!

Mario Luis Small @marioluissmall.bsky.social · Dec 4

Lol

Mario Luis Small @marioluissmall.bsky.social · Dec 4

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.
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Mario Luis Small @marioluissmall.bsky.social · Dec 4

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.”
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Mario Luis Small @marioluissmall.bsky.social · Dec 4

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/

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Reposted by Mario Luis Small

Reposted by Carl Henrik Knutsen, Mario Luis Small

Reposted by Mario Luis Small

Mario Luis Small @marioluissmall.bsky.social · Jul 8

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

Mario Luis Small @marioluissmall.bsky.social · Jul 8

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/

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Mario Luis Small @marioluissmall.bsky.social · Jul 8

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/

Mario Luis Small @marioluissmall.bsky.social · Jul 8

Our latest paper, in PNAS, makes a case for studying what makes people travel to neighborhoods racially different from their own. Maybe some places help counter residential segregation. We found some surprises. 1/
www.pnas.org/doi/full/10....

PNAS

Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...

www.pnas.org

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Mario Luis Small @marioluissmall.bsky.social · Jun 27

Social scientists: Do you use SafeGraph? Our latest paper does a quality assessment of (one aspect of) the popular large-scale dataset. A few serious problems and what to do about them. journals.sagepub.com/doi/full/10....

Are Large-Scale Data From Private Companies Reliable? An Analysis of Machine-Generated Business Location Data in a Popular Dataset - Nikolitsa Grigoropoulou, Mario L. Small, 2024

Large-scale data from private companies offer new opportunities to examine topics of scientific and social significance, such as racial inequality, partisan pol...

journals.sagepub.com

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Reposted by Mario Luis Small

Amsterdam Institute for Social Science Research (AISSR) @aissr.bsky.social · Mar 25

🗓️ 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

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Jack Iwashyna @iwashyna.bsky.social · Mar 13

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

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Jeremy Levine @jeremylevine.bsky.social · Feb 28

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

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