Using fixed and random effects models for panel data in Python
Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes.
Numbers, Facts and Trends Shaping Your World
Former Computational Social Scientist
Onyi Lam is a former computational social scientist who focused on data former science at Pew Research Center.
Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes.
Photos that exclusively show men make up the majority of photos that show people; representational differences persist across topics
Every UN member state faces a periodic review of its human rights record. But the issues raised in these reviews can vary depending on which countries are doing the reviewing.
Social scientists are increasingly adopting machine learning methods to analyze large amounts of text, images and other kinds of data.
Men are overrepresented in online image search results for popular jobs. Women appear lower on the page than men in many of these searches.
Rural Americans live an average of 10.5 miles from the nearest hospital, compared with 5.6 miles for people in suburban areas and 4.4 in urban areas.
Geocoding is the process of mapping an address or a location name to a point on Earth’s surface using latitude and longitude coordinates…
There are a variety of tools that can help researchers analyze large volumes of written material. In this post, I’ll examine two of these…
At Pew Research Center, we regularly use APIs to collect information for the studies we produce. Web APIs provide a means of communication between websites and users, structured by rules.
Read key findings from an analysis that looks into the public’s interest in guns as potential consumer products, rather than as a subject of general interest.
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