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

critique

Click bait for accountability pundits: this month’s most misleading blog title

This blogpost describes an MAVC learning event, which in turn identified “7 streams of tech-enabled change that have proven to be effective in pursuing accountable governance.” Those seven streams are listed below, and while they represent a useful typology of tech for accountability programming, they do not represent activities that connect governments with their citizens.

Measuring women’s empowerment: pushing composite indicator frameworks on projects?

While the framework remains unchanged, the characteristics and indicators that make up the index change from context to context, aiming to capture the characteristics of an ‘empowered woman’ in the socio-economic context of analysis. The index provides a concise, but comprehensive, measure of women’s empowerment, while also allowing breakdown of the analysis by level of change or the individual...

Against the civic tech sector

Stefaan G. Verhulst recently offered some suggestions on how to “build a civic tech field that can last and stand the test of time.” Stefaan is a smart guy, connected, well informed, and his suggestions make smart sense of a messy landscape. But they also accept a fundamental premise which tends to go unchecked in international discussions about civic tech. His introduction: …we are yet to...

Apples, oranges and open data

Open Knowledge International recently asked for feedback on survey questions for the 2016 Open Data Index. This is great, and has produced a modest but likely useful discussion to  improve Index processes for national research, as well as the resulting data. But regardless of how much effort goes into fine tuning the survey questions, there’s a fundamental problem underlying the idea of an...

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.