City planning policies influence urban lifestyles, health, and sustainability. We assessed
policy frameworks for city planning for 25 cities across 19 lower-middle-income countries …

Collaborative Qualitative Analysis (CQA) can enhance qualitative analysis rigor and depth
by incorporating varied viewpoints. Nevertheless, ensuring a rigorous CQA procedure itself …

AI tools, particularly large-scale language model (LLM) based applications such as
ChatGPT, have the potential to simplify qualitative research. Through semi-structured …

While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted
collaborative qualitative analysis (CQA)–a process that involves multiple researchers …

Large datasets or'big data'corpora are typically the domain of quantitative scholars, who
work with computational tools to derive numerical and descriptive insights. However, recent …

Background Although healthcare is delivered in inherently multilevel contexts,
implementation science has no widely endorsed methodological standards defining the …

Qualitative methods have long been an important component of CSCW research. However,
it can be challenging to make qualitative work legible to a broader set of researchers, which …

Large language models (LLMs) stand to reshape traditional methods of working with data.
While LLMs unlock new and potentially useful ways of interfacing with data, their use in …

Objective: News media has recently been replete with stories of anti-Asian rhetoric and
racism related to the COVID-19 pandemic. Empirical literature, however, has yet to …

A surge of racism and xenophobia toward Asian Americans during the COVID-19 pandemic
has led to high levels of stress within this community. We conducted in-depth semistructured …