Research Snapshot
The Complexity Solutions Lab advances research and practical policy responses to challenges that defy simple, linear solutions. Across democracy, security, technology, governance, and human well-being, policymakers often confront problems where fixing one issue risks making another one worse. Addressing these challenges requires traversing boundaries—between local and global governance, across policy domains and academic disciplines, and between communities with different perspectives and expertise.
Drawing on decades of fieldwork with government agencies, nonprofit organizations, and social movements worldwide, the Lab addresses a persistent gap: decision makers and researchers are rarely able to draw on the full range of the tools available for understanding complex problems. Approaches such as system mapping, simulation, participatory scenario planning, machine learning, narrative analysis, and computational modeling have demonstrated value in specialized research communities, but they remain difficult for practitioners to access, combine, and apply in real-world policy settings.
More About the Project
The Lab helps researchers and decision-makers diagnose root causes, identify counterproductive dynamics, and test strategies for change. Its work focuses on four complementary activities:
- Diagnose problems. The Lab’s Complexity Clinic helps researchers and decision makers identify the combination of complexity-aware research methods and approaches best suited to their challenges, revealing hidden linkages and dynamics that may be blocking progress.
- Test solutions. In partnership with ICONS Research, the Lab uses the ICONSnet web-enabled simulation platform to test promising strategies in realistic scenarios. These controlled environments allow participants to interact with each other or with synthetic data, simulated social media, other communication channels, chatbots, computational models and AI systems, generating behavioral data on how people respond to interventions, messaging and emerging technologies before real-world implementation.
- Build tools. The Lab leads the development of Socioinformatics, an emerging practice that applies informatics approaches used in fields such as genomics and climate science to social research, building shared tools that allow diverse methods and datasets to be integrated to better understand complex social systems.
- Mentor problem solvers. A Social Complexity Mentorship program pairs students and fellows with experts to explore complex policy challenges and develop new research, strategies or policy-relevant tools.
The Lab’s approach reflects the work of its founding director, Dr. Robert D. Lamb, whose research on social complexity provides the foundation for integrating methods across disciplinary boundaries. Housed within CISSM and connected to partners across the University of Maryland, the Lab draws on expertise from the social sciences, data science, ethics, policy analysis and multiple modeling disciplines. Its associated personnel have a track record of producing applied research on complex topics and methods with external funders such as the U.S. Department of Defense, the UK government and private foundations.
Featured Studies
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Related Publications
Navigating Social Complexity with the Tools We Have
School Authors: Robert D. Lamb
October 1, 2025
The Civic Mobilization in Civil Resistance Transitions (CM-CRT) Dataset (1.0)
School Authors: Robert D. Lamb
Other Authors: Arpitha Peteru
September 20, 2021
Policy Implementation Assessment of the Local Systems Framework
School Authors: Robert D. Lamb
Other Authors: Stephanie Monschein
January 1, 2021
The Dual-System Problem in Complex Conflicts
School Authors: Robert D. Lamb
Other Authors: Melissa R. Gregg
July 19, 2020