Carnegie Mellon University
This is alternate text.

On July 29-30, 2019 Carnegie Mellon University hosted the Concepts for Advancing Sustainable Urban Systems (SUS) Research Networks: Sustainable Integration of Urban Automation Workshop. 

This workshop convened faculty, students, and researchers from industry, municipalities, and the non-profit sector from across the United States to identify groundbreaking topics for research on applications of the sustainable integration of urban automation.

The workshop used the pseudo-nominal group techniques during the workshop to develop a prioritized list of the most promising emerging opportunities of integrating automation for urban sustainability, and developed workshop outputs that can direct research efforts toward the most critical research needs, and potential impacts, in the next five to ten years.  

Date and Time:
July 29, 2019 - 9:30 AM - 8:30 PM 
July 30, 2019 - 8:30 AM - 3:00 PM 

Carnegie Mellon University, 
Tepper Quad, The Simmons Auditorium B
4765 Forbes Ave, Pittsburgh, PA 15213

Sponsor: National Science Foundation  

Workshop Agenda

If you have any questions about the workshop please reach out to 



  • Stimulate discussion, visioning, and convergence across urban sustainability research communities in the energy, water, buildings, transportation, sensors, data integration, agrofood, and automation research communities, and to advance the frontiers of imagination of the synergies in these communities.
  • Bring together U.S. and international researchers in engineering, data analysis, and social and decision sciences to identify the opportunities at the urban systems level for automation to increase sustainability.
  • Identify the scientific, engineering and data challenges, economic and societal barriers that will limit the benefits of urban automation, technologies and research required to maximize the benefits of urban automation. 
  • Brainstorm and facilitate new ideas on automation synergies across buildings, transportation, and infrastructure for urban sustainability and identify urban systems research priorities.
  • Determine what breakthroughs are needed in sensing, edge computing, machine learning, and technology to enable broad sustainability benefits from automation.
  • Inform systems decisions about automated vehicles and their synergies with urban systems under deep uncertainty.
  • Develop objective, peer-reviewed technical policy analysis to inform public and private sector stakeholders of how to maximize the benefits of vehicle automation while limiting the risks.
  • Report findings in a white paper and peer-reviewed journal article will inform research organization decisions and future solicitations for research for sustainable urban systems.

Principal Investigator
Constantine Samaras, Associate professor, Department of Civil and Environmental Engineering and Affiliated Faculty in the Energy Science, Technology and Policy Program, Carnegie Mellon University

Co-Principal Investigators
Karen Lightman, Executive Director, Metro21: Smart Cities Institute, Carnegie Mellon University
Mario Bergés, Associate professor in the Department of Civil and Environmental Engineering, Carnegie Mellon University 
Sean Qian, Director, Mobility Data Analytics Center (MAC); Assistant research professor jointly appointed at the Heinz College and Institute for Complex Engineered Systems, Carnegie Mellon University
Greg LowryWalter J. Blenko, Sr. Professor of Civil and Environmental Engineering, Carnegie Mellon University