Christina Langer is a Postdoctoral Fellow at the Stanford Digital Economy Lab which belongs to the Stanford Institute for Human-Centered AI. She also serves as a Doctoral Researcher at the Project on Workforce at Harvard Kennedy School and is a Guest Researcher at the ifo Institute in Munich. Her research delves into the future of work, focusing on various aspects related to the supply and demand of skills and the evolving hiring practices of firms. She uses big, unstructured data like apprenticeship plan texts and online job postings as well as administrative data to estimate returns to skills and to investigate recent labor market trends like remote work or skills-based hiring.
At this session of Data + Donuts, Christina will speak about her research on the value of apprenticeship skills in the labor market.
This event will be held in a hybrid format. Register to receive a link to join via Zoom. In-person attendees can join us in Rubenstein 414, which is wheelchair/scooter accessible with accessible restrooms available. Those without an HUID may enter via the Wexner security desk.
Data + Donuts features researchers and practitioners speaking about how they use data in their work, and on issues of data and society. We welcome those from the HKS community and beyond to share knowledge, discussion, and donuts. Explore the full list of past speakers. Video recordings are available upon request.
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Speakers and Presenters
Christina Langer - Postdoctoral Fellow, Stanford Digital Economy Lab; Doctoral Researcher, HKS Project on Workforce; Guest Researcher, ifo Institute