Regulators are coming for the AI models themselves, and those models can’t answer the questions they’re about to be asked.​ ...

Singapore Management University (SMU) has launched the Master of Data Science in Economics (MDSE), Singapore's first and only ...

Engy Ziedan, PhD, Chief Scientific Officer and Co-Founder of Protege, is an applied microeconomist whose work sits at the intersection of learning science, behavioral economics, and large-scale data ...

Financial services has always been an industry where accountability is non-negotiable. Every credit decision carries a paper trail. Every trading position has an owner. Every susp ...

A 55-year-old living in a moderately polluted city may already be carrying the disease burden of someone several years older, ...

Applied statistics is more than numbers—it’s a way to solve real-world problems in social science, healthcare, business, and beyond. From mastering research design to applying advanced data analysis, ...

Abstract: Causal inference is a critical technique for inferring causal relationships from data and distinguishing causation from correlation. Causal inference frameworks rely on structured data, ...

This workshop offers a hands-on introduction for social scientists seeking to apply causal inference methods to observational and secondary data. Following a recap of foundational concepts of causal ...

Amazon Web Services plans to deploy processors designed by Cerebras inside its data centers, the latest vote of confidence in the startup, which specializes in chips that power artificial-intelligence ...

ABSTRACT: We present EAGAA, an emotionally intelligent agent integrating real-time sentiment and emotion analysis with Retrieval-Augmented Generation (RAG) to deliver empathetic customer support at ...

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...