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About

Uwe Engel is a leading voice in computational social science, with research spanning the ethical, social, and methodological challenges of emerging technologies. His work critically examines the intersection of machine learning, data analytics, and human-robot interaction, particularly focusing on how digital trace data and algorithmic systems reshape both social research methods and societal structures. Engel’s major contributions include pioneering analyses of data quality and privacy concerns in digital trace data (7 citations), where he argues that machine learning fundamentally alters the objects and methods of social science. He has also made significant strides in robotics research, co-editing the open-access volume *Robots in Care and Everyday Life* (7 citations), which explores social acceptance and ethical frameworks for assistive technologies. His work on cognition-enabled robots and the ethical, legal, and social implications of robotic assistance (2 citations each) provides crucial insights into trustworthiness and well-being in human-robot interaction. Engel’s research is notable for its interdisciplinary rigor, bridging technical innovation with social science to address pressing societal challenges. His contributions are essential reading for scholars and students interested in the responsible development and deployment of AI and robotics in everyday life.