Why Big Data Needs Small Data
We now have unparalleled access to enormous amounts of data, automatically generated and gathered, which represent sample sizes that are nearly impossible to replicate with traditional survey methods. People excitedly tell us that many major equity issues,...
Representation and Visibility in Quantitative Surveys
What is the role of quantitative surveys in shedding light on different lived realities? Which choices made during the design of an impact evaluation affect who is represented and listened to? Data collections can make structural inequalities invisible and...
Result or Interpretation?
Who is the Head of Your Household?
Who is the head of your household? It probably depends on who you ask. In my household, you will either find out that I am the head of the household, my husband is the head of the household, or that my bulldog is the head of my household. It depends on how you...
Supercharge your Averages with an Equity Gap Score
When you need to know more than just a general average, you need an Equity Gap Score. If you have a mandate that includes equity between any category of people, whether race, sex, income, education, geography, or whether or not they like sugar in their tea, you need...
What is Data Worth to You?
Data Collection Ethics in the Information Economy
Symbols in Data Communication
The way that data is communicated is inextricable from data itself. We should pay attention to how we symbolize, contextualize, and convey our data. Right now, data visualization is a hot topic, with new research and understandings coming out all the time. New mediums...
The Promises and Limitations of Predictive Methodologies in the Public Sector
Real-Time Stats for Real-Time Problems: The Promises and Limitations of Predictive Methodologies in the Public Sector. Predictive analytics are a hot topic in many fields right now. Predictive analysis, or risk modeling, asks how we can use data not only to understand...
How to Fund like a Boss
In the We All Count Data Lifecycle, the first step is Funding. Funding is often overlooked as a factor in data equity because it’s the hardest to change. Data scientists and data project workers often consider how to increase equity within their projects and...
Video: Not Your Average Average
Sometimes we’re told numbers that just don’t seem right. Even when the math is shown to us, the answer doesn’t align with the world we see around us. Rather than burying our heads in the sand and denying the math, or just conceding that our feelings are wrong and...