We propose a bias-aware methodology to engage with power relations in natural language
processing (NLP) research. NLP research rarely engages with bias in social contexts …

Pandemic diseases such as plague have produced a vast amount of literature providing
information about the spatiotemporal extent, transmission, or countermeasures. However …

In this paper, we focus on epidemic event extraction in multilingual and low-resource
settings. The task of extracting epidemic events is defined as the detection of disease names …

Despite its long history, plague has not been an internationally significant disease since the
mid-twentieth century, and it has attracted minimal modern critical attention. Strategies for …

The beginning of modern, twentieth-century epidemiology is usually associated with the
introduction of mathematical approaches and formal methods to the field. However, since …

COVID-19 virüsünün neden olduğu son yüzyılın en büyük salgını sağlık harcamalarındaki
gelişmelerin önemini bir kez daha göstermiştir. Ayrıca bu salgın, ülkelerin kamu sağlık …

This thesis proposes a recalibration of Machine Learning for social biases to minimize
harms from existing approaches and practices in the field. Prioritizing quality over quantity …

In 1970, the economic and social historian Richard Tilly first published Popular Disorders in
Nineteenth-Century Germany: A Preliminary Survey containing time-series data just shy of …

We investigate influenza-related terminology to gain a deeper understanding of what may
have driven the choice in disease name when competing options were available. It is …

La pandemia del coronavirus (COVID-19), ha representado un problema relevante para la
salud pública mundial, poniendo en evidencia las debilidades de la organización social en …