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.

Videos

Political science 36%

Sociology 34%

Posts Replies Media Videos

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

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.

Reposted by Mario Luis Small

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

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.
4/4

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.”
3/

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/

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/

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

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

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

Reposted by Mario Luis Small

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

Reposted by Mario Luis Small

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

Light upyour news

Sign in to Lightnews

Sign up to start reading

Connect Bluesky

Connect with Bluesky

Light up
your news