Methodical Snark critical reflections on how we measure and assess civic tech
Tag

protest

Last Week in Civic Tech Research: the perfect storm for government as platform, the cost of infant lives and open government, and proof that size matters (for protests)

Findings: A review of 133 cross-sectional studies finds that the most significant political effects of social media use across contexts have to do with expression of political views on social networking sites, while an  experiment with Belgian legislators confirms the WUNC thesis of protest influence on elite opinion (ie: size matters, so does coherence). An experiment on public sector...

research links w 23-24 / 17

Findings Research on nearly 3 decades of democratic innovation and e-participation in Latin America has some interesting findings (Brazil, Colombia, Mexico and Peru). According to an Open Democracy blogpost (the actual project’s website is down): civil society participation programming uses tech more often than not, smaller countries are less prolific than large countries in terms of tech...

research links w 17-17

Findings Power users of civic reporting platforms tend to cluster geographically and disseminate use of platform use in their neighborhoods. This is the main finding of new research on 311 platforms in San Fransisco (surveys, n=5k over 5 yrs), though the title and abstract are misleading, promising insights on “co-production” more generally (the authors reference the distinction, but...

research links w5-17

Papers & Findings What makes for a strong and democratic public media? According to comparative research on “12 leading democracies,” it’s all about multi-year funding, legal charters limiting gov influence, arms-length oversight agencies and audience councils. Compelling, but not shocking. Similarly, we know that the internet doesn’t drive democracy, but increased...

Methodical Snark critical reflections on how we measure and assess civic tech

Tags

Get in touch

Suggest research to be reviewed or mini-lit reviews. Ask questions or tell me why I'm wrong.