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Designing for Futures: Building a Blueprint for Human Potential

Writer's picture: Rachel A.WoodRachel A.Wood

In a world where every moment counts, our early experiences and continuous support shape not only individual destinies but the fabric of our communities. This blog is a tribute to David Farrington’s life course approach and builds upon the ground breaking insights of the Heckman Equation and behavioural economics. Together, these frameworks reveal a blueprint for fostering social mobility and lifelong well-being from personalised early interventions to smart, adaptive policy design. Join me on a journey through theory and practice, where data meets human potential, and discover how thoughtful, sustained investments can unlock a brighter, more equitable future for all.

 

Introduction


A slide showing a summary of the three frameworks: life course approach, the heckman equation and behavioural economics
Figure 1: The three frameworks for Designing for Futures

 

I started this blog as a tribute to David Farrington (1990, 2003) and the Life Course Approach. I encountered this body of work more than two decades ago and have been pondering its potential ever since. Little did I know that this would become a story about human potential that would span behavioural design and economics, early intervention, and prevention, as well as his life course approach. Here is a summary of the many, many words that I originally wrote.

 

In today's fast paced world, it's essential for policymakers, designers, and service providers and designers to think ahead and work with a future-focused mindset. The Heckman Equation, the life course approach, and behavioural economics all offer valuable perspectives on how to create interventions and services that boost social and economic mobility. In terms of human potential, to quote a metaphor they can be used to show how seeds can be planted effectively and how with water and care a robust family of sustainable trees can be built. I have attempted to look at how these frameworks might dovetail together in a prototype blueprint, and how they could be applied in fields like education, workforce development, healthcare, and social policy.

 

The Heckman Equation: Early Investment for Long-Term Gain

 

Understanding the Heckman Equation


James Heckman’s (2006, 2007) work has taught us that investing in people early on really pays off. His research shows that putting resources into early childhood not only enhances learning and development but also paves the way for better health, education, and economic success. In its simplest terms, a strong start can set the stage for a lifetime of benefits, reducing the need for later costly interventions.

 

Beyond Early Childhood: Investing Across the Life Course

 

Of course, early intervention isn’t the only time to invest. Heckman’s findings remind us that support during adolescence and adulthood like vocational training, mentoring, and upskilling can also help people overcome challenges and thrive. It’s about recognizing that every stage of life offers a chance to build and improve, ensuring that we’re not leaving anyone behind. This is where the extraordinary work of David Farrington comes in.

 

The Life Course Approach: A Holistic Perspective



An extract from a hand drawn sketch by Naomi Wood (2014). On the theme of 'Gin Street' by Hogarth
Figure 2: extract of a hand drawn sketch by Naomi Wood (2014) - on the theme of 'Gin Street' by Hogarth

 

Key Principles of the Life Course Approach

 

The life course approach is all about seeing life as a series of connected moments. It examines how a range of factors from our family and community to our economic and environmental conditions shape our journey from birth to older age. This kind of perspective reminds us that the timing and order of life events matter, and that every experience builds on the ones that came before.

 

Applications in Policy and Service Design

 

By focusing on key turning points like starting school, launching a career, or managing health challenges (all of which I have done, and are doing), we can design services that really help. Imagine workforce development initiatives that support lifelong learning, or health interventions that tackle everyday needs like access to healthy food and safe housing. These targeted efforts can help ensure that everyone has the support they need to succeed, and in the life events when they need them the most. I know extremely well that we are all vulnerable at some times, and some of us more than others.

 

Addressing Structural Inequalities

 

One of the biggest lessons from the life course approach is that not everyone starts from the same place. Systemic issues like economic disparities and discrimination can make an enormous difference in how lives unfold. To build a fairer society, we need to create policies that break down these barriers investing in under-resourced communities, making sure everyone has access to quality education and healthcare, and fostering environments where social mobility (how easy or hard it is to attain your full potential) is possible.

 

Behavioural Economics: Nudging Better Decisions

 

Understanding Behavioural Biases

 

Behavioural economics challenges the idea that we always make perfectly rational decisions. Our choices are often influenced by biases, limited information, and social pressures. Recognizing these quirks in our decision-making process helps us design interventions and services that can gently steer us toward better choices without taking away our freedom to choose.

 

Effective Behavioural Interventions

 

Here are a few practical ways to put behavioural insights to work:

 

  • Default Options: By making the best choice the default like automatically enrolling people we can boost participation without much extra effort.

  • Simplification: Streamlining complex processes (such as applications for benefits) makes it easier for people to take advantage of the help available.

  • Social Norms and Messaging: Sometimes, a little nudge from what everyone else is doing can make a significant difference. For instance, sharing how many people pay their taxes on time or conserve energy can encourage similar behaviour.

 

Integrating Behavioural Insights into Systems Design

 

To create truly effective policies, it’s important to build them with human behaviour in mind. This means considering how choices are presented, reducing unnecessary complexity, and testing ideas through real-world experiments like randomised control trials (RCTs). By doing so, we can refine our approaches using science and evidence and make sure our designs work effectively and safely in practice.

 

Designing Equitable and Sustainable Futures

 

Building an effective combined Blueprint

 

When you try to bring together the insights from the Heckman Equation, the life course approach, and behavioural economics, you get a potential powerful framework for designing better futures. Early investments set the foundation, ongoing support throughout life keeps things on track, and smart nudges help guide decisions in the right direction. This integrated view can lead to more resilient families and thriving communities.

A table which shows the origin and timeline of the three approaches
Figure 3: The origins and timeline for the three frameworks for designing for futures

Cross-Sector Applications

 

One of the many potential benefits of this approach is that it could work across many different fields:

 

  • Education: Think of everything from quality early childhood programs to lifelong learning opportunities.

  • Healthcare: Preventive care and making health services more accessible can lead to better outcomes for everyone.

  • Economic Policy: Workforce training, robust social safety nets, and strategies that promote inclusive growth all benefit from this approach.

  • Social Innovation: Community-led projects and participatory design processes can foster more engaged and empowered societies.

 

Whilst exploring this blog I started to explore how this might work in a family-based service which is the focus of my design research. This is what I produced as an illustration:

 

"Family Services Navigator" an integrated digital and in-person service offer that tracks and provides for a family’s needs over time. Using data and smart nudges, the Navigator service could provide personalised offers either directly to a family themselves, or to an agreed network of supporters, coaches, and those that support them in terms of safety and their journey map:

 

  • Identifies Key Milestones: Flag when a family might benefit from additional support (for example, during a school transition or after a significant life event).

  • Offer Tailored Resources: Provide personalised recommendations for local workshops, support groups, or digital tools.

  • Monitor Engagement: Use behavioural nudges (like timely reminders and community success stories) to keep families engaged and informed.

 

My next step was to look at developing the information that would be required for a behavioural design canvas. I will most definitely be using this as the basis for leveraging early investment, lifespan development and evidence based ‘nudges’ in the canvas. This is what I produced as a potential guided process:

 

  1. Problem definition: Clearly articulate the social, health, or economic issue that you are trying to address.

  2. Desired outcome: Specify what success should look like

  3. Demographics and context: Age range, socioeconomic background, family structure and community context

  4. Life course stages (or events): Pinpoint where the person is with their developmental path.

  5. Behavioural analysis (such as using COM-B): Capability – Identify cognitive, emotional, and physical abilities required for the desired behaviour. Opportunity – Explore environmental, social, or institutional factors that enable or hinder that behaviour. Motivation – Examine the attitudes, beliefs and biases influencing the behaviour.

  6. Theory of Change: What is the theory of how you will achieve the required change. How do these link to the three concepts?

  7. Logic Model and Component Strategy: What are the activities that will support the design? Structural activities: policy changes, service provision, or infrastructural modifications/ Behavioural ‘nudges’: Defaults, prompts, reminders, social proof, incentives, or disincentives. Support systems: Mentoring, community and peer support, or educational resources that would reinforce long-term engagement.

  8. Implementation and stakeholder engagement: Key partners: Schools, healthcare providers, community and voluntary organisations, policymakers etc. Communication plan: How you’ll explain the service, gather buy in and maintain engagement. Resource Allocation: Budget, workforce development, and technology needed/

  9. Measurement and Evaluation: Key metrics: choose the indicators, outcomes, objectives, key results, impact, and key performance indicators that you aim to use. Short term vs long term: track intermediate behaviour shifts and long-term impact Feedback loops: Collect data to refine or change the activities as needed.

  10. Sustainability and scalability: Long term strategy: Plan how to maintain or expand the planned activities after initial success. Policy integration: Advocate for legislation or organisational changes that embed successful practices. Ecosystem building: Encourage complimentary activities or partnerships that would extend and further the impact.

 

I am using this learning to build a conceptual prototype blueprint further. Currently I am calling it ‘Futures Journey.’ I hope that it will include:

 

  • A personalised dashboard that displays progress towards key life goals (such as in education, career, health etc.)

  • ·Behavioural ‘nudges’ that consist of reminders about completing tasks related to long term goals (such as reading and task ‘streaks,’ savings and exercise goals)

  • Life stage prevention and intervention activities including content and resources that are tailored for all the family. This will include early childhood development, educational guides, or financial management tips.

  • Data driven insights that tracks progress and suggests changes based on how the journey is interacted with and the goals achieved.

  • ·Access to an on-demand navigator who can help or assist if required.

 

Examples of the ways it could be used:

  • For children: It could provide cognitive development games and provide educational resources that are appropriate and aligned to the latest science and evidence on childhood outcomes (aligned to the Heckman curve and equation).

  • For a teenager: It would guide the teen through decisions related to career planning, offer advice on mental health and education, and provide tools for developing social and emotional skills.

  • ·For an adult or parent: It could provide help on parenting challenges, as well as advising on financial planning, career advancement, as well as giving advice as to do physical activities and cooking for families.

 

Lastly, to round this activity off I decided to see if an equation could be produced for a combined blueprint in this area. This seemed appropriate particularly in relation to the Heckman equation and behavioural economics. I’m not quite sure how I might use this yet as a model for effectiveness, but I will most certainly be giving it a go.


An image showing an equation for designing for futures
Figure 4: A prototype blueprint equation for designing for futures

Conclusion

 

At the end of the day, building a better future is about more than just isolated solutions, it’s about designing systems that are adaptable, inclusive, and in tune with the real world, and the systems we navigate. By blending early investments, continuous support over the life course, and smart behavioural nudges, we can create policies, programmes and services that genuinely improve future lives. Whether in education, healthcare, or economic policy, the integration of these frameworks as a prototype blueprint may at the very least help me further my research path.

 

References


  • Allcott, H. (2011). Social norms and energy conservation. Journal of Public Economics, 95(9-10), 1082-1095.

  • Banerjee, A., & Duflo, E. (2011). Poor economics: A radical rethinking of the way to fight global poverty. PublicAffairs.

  • Ben-Shlomo, Y., & Kuh, D. (2002). A life course approach to chronic disease epidemiology. International Journal of Epidemiology, 31(2), 285-293.

  • Bettinger, E. P., et al. (2012). The role of application assistance and information in college decisions. Quarterly Journal of Economics, 127(3), 1205-1242.

  • Cunha, F., & Heckman, J. J. (2007). The technology of skill formation. American Economic Review, 97(2), 31-47.

  • Elder, G. H. (1994). Time, human agency, and social change: Perspectives on the life course. Social Psychology Quarterly, 57(1), 4-15.

  • Farrington, D.P. and West, D.J. (1990), The Cambridge Study in Delinquent Development: A long-term follow up of 411 London males, British Journal of Criminology, 30(4), 415 - 435

  • Farrington, D.P. (2003), Developmental and life-course criminology: key theoretical and empirical issues – the 2002 Sutherland Award Address, Criminology, 41(2), 221-255

  • Heckman, J. J. (2006). Skill formation and the economics of investing in disadvantaged children. Science, 312(5782), 1900-1902.

  • Heckman, J. J., & Masterov, D. V. (2007). The productivity argument for investing in young children. Review of Agricultural Economics, 29(3), 446-493.

  • Marmot, M. (2010). Fair society, healthy lives: The Marmot Review.

  • Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.

  • Towel, G (2004), David Farrington 1944 – 2024, The Psychologist, https://www.bps.org.uk/psychologist/david-farrington-1944-2024

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