Short answer

Integrate stakeholders into the data collection and analysis process to ensure the resulting insights are relevant and actionable for policy and design.

Field: Innovation & Design
Source: Data Archiving and Networked Services (DANS) (2013)
Method: Historical analysis and conceptual framework development
Evidence: Moderate effect

Recognizing the reciprocal relationship between data collectors and data subjects can lead to more relevant and impactful policy development. This innovation & design research insight is drawn from a 2013 study published in Data Archiving and Networked Services (DANS). Using Historical analysis and conceptual framework development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate stakeholders into the data collection and analysis process to ensure the resulting insights are relevant and actionable for policy and design.

Study

Innovation & DesignHigh ImpactModerate effect

Stakeholder Statistics: A Co-productive Approach to Informing Agricultural Policy

Recognizing the reciprocal relationship between data collectors and data subjects can lead to more relevant and impactful policy development.

Data Archiving and Networked Services (DANS) · 2013

Key Findings

01The methods used by agricultural economists to observe the economy shaped their theoretical frameworks.
02There is a reciprocal relationship between observers and the observed, leading to a co-production of knowledge.
03This co-productive approach to data collection influenced political debates and agricultural policies, even under authoritarian regimes.

Application

Design takeaway

Integrate stakeholders into the data collection and analysis process to ensure the resulting insights are relevant and actionable for policy and design.

How to apply

When undertaking a design project that requires understanding user needs or market dynamics, actively involve target users or relevant stakeholders in the research process, not just as subjects but as collaborators in defining what information is important and how it should be gathered.

Project actions

01Think about who you are designing for and how you can involve them in the research process.
02Consider how your research questions might influence the answers you get.

Method & Evidence

AimHow can the co-production of observational knowledge between data collectors and stakeholders inform policy development in agricultural economics?

MethodHistorical analysis and conceptual framework development

ProcedureThe research examines historical practices of Italian agricultural economists from 1900-1940, analyzing how their methods of observation influenced economic theory and policy debates, particularly concerning family farms. It introduces and elaborates on the concept of 'stakeholder statistics' to describe this co-productive relationship.

ContextAgricultural economics and policy-making in Italy (1900-1940)

Variables

IVMethodology of observation (e.g., direct observation vs. stakeholder collaboration)

DVRelevance and impact of resulting economic theories or policy recommendations

CVHistorical period, specific agricultural context, political climate

Strengths & Limitations

Strengths

+Provides a novel conceptual framework ('stakeholder statistics').
+Highlights the dynamic and reciprocal nature of research.

Limitations

It can be challenging to get genuine co-production in a short design project, and it requires careful facilitation.

Reliability & validity

The historical nature of the study means direct replication is not possible. Validity is based on the logical coherence of the argument and its historical grounding. Reliability would depend on the consistency of interpretation of historical sources.

Think critically

To what extent can the 'co-production of knowledge' be genuinely achieved in a typical design project with limited time and resources?

Design Principles

"Knowledge is co-produced through the interaction between researchers and their subjects."

This research highlights that data collection is not a neutral act; it actively shapes the understanding and subsequent actions related to a subject. By acknowledging this 'co-production' of knowledge, designers and researchers can foster more effective engagement with stakeholders, leading to solutions that are better aligned with real-world needs and contexts.

What This Means for Your Design

When you study something or someone, they can also influence how you study it and what you learn. It's like a two-way street, and understanding this helps make your research and designs better.

How to use in your project

1.Reference this research when discussing the importance of user involvement in the research phase of your design project, particularly when justifying your methodology.

Add to My Project

Quick Cite

Paragraph starter

The concept of 'stakeholder statistics,' as explored in historical agricultural economics, suggests that knowledge is co-produced through the reciprocal relationship between observers and the observed. This implies that for effective design, research methodologies should actively involve end-users or stakeholders in the data collection and interpretation process, rather than treating them as passive subjects. This collaborative approach can lead to a deeper, more nuanced understanding of needs and contexts, ultimately informing more relevant and impactful design solutions.

Source

Data Archiving and Networked Services (DANS)

Knowing to transform : three ways for agricultural economists to observe Italy 1900-1940

journal · 2013

View source

Questions About This Research

What does the research say about stakeholder statistics: a co-productive approach to informing agricultural policy?: Integrate stakeholders into the data collection and analysis process to ensure the resulting insights are relevant and actionable for policy and design. Evidence: Data Archiving and Networked Services (DANS) (2013).
Why does "Stakeholder Statistics: A Co-productive Approach to Informing Agricultural Policy" matter for design?: This research highlights that data collection is not a neutral act; it actively shapes the understanding and subsequent actions related to a subject. By acknowledging this 'co-production' of knowledge, designers and researchers can foster more effective engagement with stakeholders, leading to solutions that are better aligned with real-world needs and contexts.
How can designers apply this research?: Integrate stakeholders into the data collection and analysis process to ensure the resulting insights are relevant and actionable for policy and design.
What were the main findings?: The methods used by agricultural economists to observe the economy shaped their theoretical frameworks.. There is a reciprocal relationship between observers and the observed, leading to a co-production of knowledge.. This co-productive approach to data collection influenced political debates and agricultural policies, even under authoritarian regimes.
What research method was used?: Historical analysis and conceptual framework development.
How strong is the evidence?: Evidence strength is rated Moderate effect, based on a 2013 journal from Data Archiving and Networked Services (DANS).
What should I do differently in my next project?: When undertaking a design project that requires understanding user needs or market dynamics, actively involve target users or relevant stakeholders in the research process, not just as subjects but as collaborators in defining what information is important and how it should be gathered.
What are the limitations?: The historical context may not directly translate to all modern design scenarios; the focus is on a specific academic discipline.