eRisk

erisk, often written as eRisk, is an umbrella term used in different fields to denote electronic or digital risk management and assessment. In business and finance, eRisk refers to systems and processes that monitor, quantify, and mitigate risk using electronic data, dashboards, and automated alerts. These tools may cover areas such as credit risk, operational risk, cybersecurity risk, and regulatory compliance, and are designed to provide real-time or near-real-time visibility into risk exposure across an organization.

In the research community, eRisk most commonly denotes the Early Risk Prediction on the Web framework and related datasets. The eRisk project provides benchmarks and tasks for evaluating models that aim to identify individuals at risk from online content at early time points, often focusing on mental health concerns such as depression or other self-harm risk signals. Data typically consist of user-generated text from public platforms, labeled with risk levels or outcomes, with evaluation requiring predictions at partial observation horizons.

The term is sometimes used as a brand name or product designation for digital risk management tools offered by vendors, reflecting the growing role of machine learning and data analytics in assessing and mitigating risk in online and enterprise environments.

Overall, erisk/eRisk captures the trend of moving risk assessment from periodic audits to continuous, data-driven monitoring, enabling earlier detection and intervention while raising considerations about privacy, ethics, and data quality.