Daniela Elisabeth Hochfellner

Known for influential publications on labor market dynamics and the innovative use of big data in social research, Daniela Elisabeth Hochfellner is an Adjunct Research Assistant Professor at the Survey Research Center, Institute for Social Research at the University of Michigan-Ann Arbor. Her academic journey is marked by a profound interest in understanding the complexities of employment and labor market participation, particularly among ethnic populations. Dr. Hochfellner's research delves into the intricacies of employment in retirement, exploring how individuals navigate the labor market in their later years. Her work is distinguished by its application of big data methodologies to assess and improve the accuracy of survey data, contributing significantly to the field of total survey error. Her scholarly contributions have been widely recognized, with numerous articles published in esteemed academic journals. In addition to her research, Dr. Hochfellner has been successful in securing funding to support her projects, underscoring the impact and relevance of her work. Her dedication to advancing knowledge in her field is evident in her ongoing efforts to bridge the gap between traditional survey methods and modern data analytics. At the University of Michigan-Ann Arbor, Dr. Hochfellner is not only a researcher but also a mentor to students and colleagues, fostering a collaborative environment that encourages innovation and critical thinking. Her commitment to excellence in research and education continues to inspire those around her, making her a valued member of the academic community.