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About the Upwork Research Institute

The world of work is not the same as it was just a few years ago and leaders are facing brand new challenges as a result. The old work playbook is gone, and in its place, there are debates and decisions around workforce location, worker arrangements, and flexibility. However, leaders do not need to navigate this new world of work on their own.

The Upwork Research Institute is committed to studying the fundamental shifts in the workforce and providing business leaders with the tools and insights they need to navigate the here and now while preparing their organization for the future. Using our proprietary platform data, global survey research, partnerships, and academic collaborations, we will produce evidence-based insights to create the blueprint for the new way of work.

Meet the experts

MANAGING DIRECTOR, Upwork Research Institute

Jennifer Brett

Jennifer Brett is the Managing Director of the Upwork Research Institute, where she leads research and thought leadership on the future of work, including AI, flexible talent, and evolving workforce models. She is a research and insights leader with more than 15 years of experience translating data, market signals, and human behavior into strategies, narratives, and business impact. Jennifer has held senior insights leadership roles at Attentive and LinkedIn across the U.S. and Europe, and previously served as an Industry Analyst at Google. She holds a Ph.D. in Political Science from Trinity College Dublin, with academic training in research design and quantitative and qualitative methods.

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Economist, Upwork Research Institute

Ted Liu, Ph.D

Dr. Ted Liu is an Economist at Upwork, where he studies how AI and technological change are transforming the labor market and reshaping skill demand. He holds a Ph.D. in economics from the University of California, Santa Cruz, and specializes in labor market dynamics and quantitative research. His work informs Upwork’s insights on workforce shifts, economic opportunity, and policy.

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Meet our Strategic Partners

Guiding the Future of Work at the Intersection of AI and Economics: The Economic Advisory Council (EAC) is a strategic partner to the Upwork Research Institute, bringing together world-renowned economists and researchers from institutions like MIT, Stanford, and Georgetown. Formed to deepen our understanding of AI’s impact on work, the Council ensures our research, insights, and innovations are grounded in real-world economic theory and labor market data. Learn more about the council members below.

Dr. Nicholas Bloom

Dr. Nicholas Bloom, professor of economics at Stanford University and senior fellow at the Stanford Institute for Economic Policy Research (SIEPR). Bloom’s research focuses on management practices, productivity measurement, and organizational behavior, with recent studies exploring the future of remote work and AI’s impact on workplace dynamics.

Dr. John Horton

Dr. John Horton, associate professor at the MIT Sloan School of Management and faculty research fellow at the National Bureau of Economic Research (NBER). Horton’s research focuses on information systems, market design, labor economics, organizational dynamics, and the effects of AI on labor markets.

Dr. Sendhil Mullainathan

Dr. Sendhil Mullainathan, professor in the Department of Economics and the Department of Electrical Engineering and Computer Science at MIT. Mullainathan’s research applies machine learning to complex problems in human behavior, social policy, and medicine.

Dr. Dewey Murdick

Dr. Dewey Murdick, executive director of the Center for Security and Emerging Technology (CSET) at Georgetown University. Murdick specializes in technology foresight, AI policy, and data science, with a focus on how emerging technologies reshape labor markets and societal structures.

Dr. Andrew Rabinovich

Dr. Andrew Rabinovich, vice president  of artificial intelligence and machine learning at Upwork. Rabinovich leads Upwork’s AI transformation strategy, drawing on over two decades of expertise in machine learning and computer vision. Rabinovich’s research primarily focuses on computer vision, multimodal learning, and structured deep learning architectures.

Dr. Melissa Valentine

Dr. Melissa Valentine, associate professor of management science and engineering at Stanford University and co-director of the Center for Work, Technology, and Organization. Valentine’s research examines how AI and algorithmic systems transform collaboration, organizational design, and workforce structures.

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