The views expressed are those of the author and do not necessarily reflect the views of ASPA as an organization.
By Naim Kapucu
March 13, 2026
Public administration is often described as the bridge between public goals and real results. When communities face complex problems such as public safety, health threats, climate risks, housing pressures or digital transformation, people look to government not only for rules but for workable solutions. Viewing public administration as solution science highlights this practical responsibility.
As Duncan J. Watts defines solution-oriented social science, it “starts with real-world problems and works backward to identify relevant theories and methods.” Public administration fits this definition because it is a problem-solving social science that uses evidence, learning and collaboration to improve how public organizations make decisions and deliver services. Rather than choosing between theory and practice, solution science asks public administration to do both: build reliable knowledge and use it to improve lives.
Solution science begins with the problem rather than a preferred method. It asks several basic questions: What is the public issue? Who is affected? What does success look like? What constraints shape the available options? From there, the approach works backward to select the appropriate tools such as data analysis, evaluation, field observation, surveys, interviews or rapid experiments so findings can guide action.
This approach reflects a pragmatic mindset. Ideas are valuable when they help people act wisely in real settings. In public administration, pragmatism means learning from experience, testing what works and adjusting as conditions change.
A solution-science perspective also reshapes the relationship between researchers and practitioners. Public administrators, community partners and frontline staff hold essential knowledge about what is feasible, where systems break down and why past reforms succeeded or failed. Solution science treats them as partners in the work rather than simply sources of data.
When practitioners help define problems, shape research questions, interpret findings and plan implementation, research becomes more relevant and easier to apply. Co-produced knowledge is particularly important when problems cross boundaries between agencies, sectors and jurisdictions because solutions require shared understanding and coordinated action.
Public administration as solution science values strong evidence but also recognizes that public decisions require judgment. Governments operate within legal, political and ethical constraints while managing limited resources. Evidence does not eliminate debate, but it improves it. It helps decision makers compare options, anticipate tradeoffs and explain decisions more transparently.
A solution-science approach strengthens governance in two ways. It improves the quality of public decisions and it builds legitimacy by showing how decisions were made and what results were achieved.
This perspective also reflects the field’s long history of adapting to changing needs. Public administration has been described as management, craft, profession, governance and design. Each perspective emphasizes a different path toward improving public performance. Solution science brings these strands together by focusing on outcomes such as better services, fairer access, stronger public trust and more resilient institutions.
It also encourages interdisciplinary thinking. Many public challenges do not fit neatly within a single academic discipline. Climate resilience, public health and digital governance all require insights from multiple fields. At the same time, solution science promotes continuous improvement by encouraging policies and programs to operate as learning systems that rely on feedback, review and refinement over time.
Despite its promise, solution science faces practical barriers. Academic and organizational incentives may reward publication counts or short-term outputs more than long-term public impact. Data are often fragmented across agencies, and legal or privacy constraints can limit sharing. Many public problems are difficult to define clearly and success can be challenging to measure. Public debate can also favor quick fixes over careful learning.
A solution-science approach does not ignore these challenges. Instead, it offers a framework for addressing them through clearer goals, practical measures of progress and stronger partnerships among universities, governments and communities.
In practice, public administration as solution science is guided by several core commitments. Public leaders must clearly define the problem they seek to address. They must rely on evidence that is trustworthy and understandable. They must involve the people who will use the findings and they must focus on implementation rather than recommendations alone.
This approach also emphasizes humility. No single study or model will solve complex public problems. Progress emerges from building shared capacity through improved skills, stronger data systems, learning routines and leadership that supports experimentation and accountability.
Ultimately, the promise of public administration as solution science is to make the field more useful without sacrificing rigor. It encourages public organizations to act as learning institutions and encourages scholars to produce knowledge that can travel across contexts.
When public administration embraces this role, governments are better equipped to respond to today’s challenges with practical, evidence-informed action and a clear focus on public value.
To put this perspective into practice, leaders can take several practical steps. First, they can start with shared problem definitions by convening stakeholders early to agree on the issue, who is affected and what success looks like. Second, they can build simple evidence routines such as dashboards, short evaluations and after-action reviews to support continuous learning. Third, they can co-produce solutions with frontline staff and partners so new initiatives reflect real operational constraints. Fourth, they can strengthen data access and trust by establishing clear rules for sharing information while protecting privacy. Finally, they can communicate findings plainly and frequently so decision makers and communities understand both choices and results.
Acknowledgement: A longer version of this paper was presented at the International Workshop on Asia Perspectives on Good Governance held Oct. 30–31, 2025, in Singapore and hosted by the Nanyang Centre for Public Administration at Nanyang Technological University.
Author: Naim Kapucu is Pegasus Professor of Public Administration and Policy at the University of Central Florida, where he also serves as associate dean of research and innovation in the College of Community Innovation and Education. He is a joint faculty member with the School of Politics, Security and International Affairs and a fellow of the National Academy of Public Administration.
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