
Understanding Contribution vs. Attribution in Research Impact
In the domain of research impact, two important, but often confused, concepts are attribution and contribution. Both help us understand how research findings influence policy, practice, or societal behaviour, yet each takes a different perspective on measuring and interpreting those influences. By distinguishing between these terms, researchers, funders, and practitioners can more accurately assess how scientific knowledge shapes change.
Attribution: Direct Causality and Measurable Impact
Attribution concerns the process of identifying and assigning specific outcomes or impacts to particular research activities. It aims to establish cause-and-effect links – what was the research’s direct role in an observed change? Morton’s (2015) work exploring attribution and contribution found:
- Focus on Causality: Attribution examines whether and to what extent a specific research project caused a particular impact. For instance, was a policy adopted directly because of a study’s findings?
- Challenges: Research seldom operates in isolation. Many external factors (economic, political, social) may affect outcomes, complicating the task of isolating research effects .
- Counterfactual Analysis: An attribution-focused approach often considers counterfactuals – what would have happened without this research? This can be difficult to evaluate in complex real-world settings.
Example: In climate change studies, attribution might involve quantifying how much human-induced warming intensified a specific weather event. Researchers use statistical methods to isolate the effect of increased greenhouse gases from natural variability.
Contribution: A Broader, Contextual View
Contribution, by contrast, takes a more holistic lens. It acknowledges that research seldom acts alone. Instead, it often works in concert with other influences – cultural norms, advocacy efforts, political priorities, or external social movements – to shape an outcome. Morton (2015) found that contribution has:
- A Broader Perspective: Contribution focuses on the overall role of research within a larger context, recognising that many intertwined factors influence societal change.
Complex Interactions: This approach captures how research is taken up, adapted, or merged with other information by policymakers, practitioners, or communities
Example: If a national education policy is shaped by multiple studies, media coverage, lobbying efforts, and public opinion, a single research project’s contribution might have informed certain arguments or policy language – even though it cannot be precisely traced as the exclusive cause
Key Differences: Attribution vs. Contribution
|
Aspect |
Attribution |
Contribution |
|
Focus |
Direct causality, specific outcomes |
Overall influence in a broader context |
|
Measurement |
Often quantitative, seeks to isolate research impact |
May include qualitative methods, views research as part of a system |
|
Complexity |
Challenges in disentangling external factors |
Embraces multifaceted interactions |
|
Counter-factuals |
Required to assess what would have happened without the research |
Less emphasis on ‘what if not’ scenarios |
Why Distinguish Between the Two?
- Accurate Impact Assessment
- Attribution is useful for pinpointing direct effects in well-bounded systems – such as evaluating a specific pilot programme.
- Contribution helps capture the complex, long-term influences of research on policy, discourse, or cultural practices.
- Practical Utility
- Funders and institutions often want rigorous evidence of impact. Where feasible, an attribution lens can provide clear metrics.
- A contribution approach, however, may be more realistic in messy, multi-actor contexts, allowing for nuanced stories of how research informs outcomes.
- Methodological Choices
- Attribution-oriented studies may rely on statistical analyses or counterfactual scenarios.
- Contribution-driven evaluations can employ case studies, qualitative interviews, or the Research Contribution Framework
Conclusion
Attribution and contribution each highlight a different aspect of research impact. While attribution emphasises direct causal links, contribution acknowledges the diffuse ways research interacts with policy, community knowledge, and social forces. For those working to demonstrate the value of research, understanding the strengths and limitations of each approach enables a more thorough and credible depiction of research influence on real-world change.
Our Top Takeaways To Inform Your Work NOW:
- Reflect on your understanding of attribution vs. contribution – Consider how both attribution and contribution play roles in your impact. Understanding these distinctions helps clarify how to present the value of your work to various stakeholders.
- Identify ways to write about each – Draft separate narratives for attribution and contribution within your impact reporting. Use attribution to highlight specific achievements and contribution to emphasise the broader influence your research has had.
- Tailor your approach for different audiences – Different stakeholders value different types of information. Funders may prefer clear, measurable attribution, while policymakers might be more focused on the broader contributions your work has made to societal change.
References
- Graham, I.D., Kothari, A., McCutcheon, C. et al. Moving knowledge into action for more effective practice, programmes and policy: protocol for a research programme on integrated knowledge translation. Implementation Sci 13, 22 (2018).
- Hansson, S., & Polk, M. (2018). Assessing the impact of transdisciplinary research: The usefulness of relevance, credibility, and legitimacy for understanding the link between process and impact. Research Evaluation, 27(2), 132–144.
- Morton, S. (2015). Progressing research impact assessment: A ‘contributions’ approach. Research Evaluation, 24(4), 405–419.
- Lane, T. et al. (2023). Attribution of extreme events to climate change in the Australian region – A review. Weather and Climate Extremes, 42, Article 100622.
