Academic Blog : Skill vs Sense: Why Social Sciences Matter More Than Ever

In an age defined by rapid technological advancement, the modern workforce has never been more “skilled.” From advanced programming languages to machine-learning pipelines, from sophisticated manufacturing techniques to data analytics, we see a global surge in technical proficiency. Yet paradoxically, many organisations and societies report that having skills alone isn’t enough, what seems missing is sense. In this blog I argue that sense-making (and/or the wise use of skill) is something that the social sciences teach us, and that neglecting social sciences in favour of sheer science & technology has created a condition where we have many people with skills but little sense of how or when to apply them.

Defining Key Terms: Skill vs Sense

Skill. In cognitive/educational literature, «skill» typically refers to the capacity to perform a task well the acquisition of procedures, knowledge, routines, and reflexive responses. For example, the widely cited Dreyfus model of skill acquisition describes how learners progress from novice → advanced beginner → competent → proficient → expert, gradually moving from reliance on rules toward intuitive, fluid practice.

Sense (or sense-making). By contrast, sense-making is a meta-capacity: the ability to interpret, contextualize, understand, and act in ambiguous, complex real-world situations. As defined by Karl E. Weick (and others), sense-making is “the ongoing retrospective development of plausible images that rationalize what people are doing.”

In other words, it’s not simply doing well but knowing when, why, and how to do—especially when the context is shifting or uncertain.

The Problem: Skills Without Sense

Your premise that many people in today’s science/tech-led world are highly skilled yet lack sense is supported by multiple strands of evidence:

Contextual mismatch. A person may have mastered a technical skill (e.g., coding, data modelling, hardware assembly) but lack the ability to understand the broader social, organisational, or human context in which that skill must be applied. In the words of one study: students who “have all the mathematical and conceptual knowledge … but reach and stick with an incorrect answer that violates common sense.”

Overemphasis on technical disciplines. The social sciences have often been relegated in favour of STEM (science, technology, engineering, and mathematics). But sense-making extracting meaning, understanding human behaviour and culture, interpreting ambiguity is essentially in the domain of social sciences (sociology, anthropology, psychology, communication studies). The very notion of sense-making emerges from organisational behaviour and social theory.

Unintended consequences. When organisations invest heavily in technical capability, but neglect human, cultural or ethical literacies, the result can be dysfunctional. For example: excellent engineers designing systems that fail because they ignore stakeholder behaviour; data scientists optimising models that produce social bias because they lack sense of context; managers deploying tech solutions without understanding cultural adoption.

Thus we face a scenario: many people can do but not always know well how or why to do what they do.

Why Social Sciences Teach the Sense Layer

The social sciences bring a variety of frameworks that help build sense:

Sense-making frameworks. For instance, the handbook chapter by Deborah Ancona outlines sense-making as mapping the unknown, then acting, testing and refining.

Learning in social context. Research emphasises that effective learning does not happen in isolation the social component matters. One blog notes: “Effective learning necessarily includes a social component… we need coaching, apprenticeships, discussions, communities of practice.”

Critical and contextual thinking. Sense-making is more than applying rules: it’s about interpreting, questioning, reflecting, adapting. In a world of shifting complexity, sense-making abilities matter more (and are less taught) than ever.

In short: the social sciences help develop the capacity to situate skills, interpret contexts, communicate meaningfully, understand social dynamics, and adapt. Without this, a skill remains inert or mis-applied.

The Cost of Skipping Sense-Making

When sense-making is ignored, the following risks arise:

Misalignment with purpose. Skilled individuals may execute tasks perfectly yet miss strategic alignment or ignore stakeholder needs, so value is lost.

Technological determinism. Assuming that “if we build it, they will come” – but without understanding how people will use it, adopt it, or reject it.

Ethical blind-spots. Skills without sense can lead to unintended negative consequences: e.g., algorithmic bias, privacy violations, social exclusion – because the “sense” dimensions (power, values, context) were missing.

Fragmentation and waste. Organisations may accumulate technical capacity but lack integration, coherence, or meaning; many “skills” go unused or mis-used.

Bridging Skill & Sense: A Suggested Framework

Here is a simple framework organisations or individuals can adopt:

Technical proficiency (Skill Layer). Build domain-specific competence: programming, engineering, data analytics, etc.

Contextual awareness (Sense Layer). Develop ability to interpret environment: culture, stakeholders, systems, unintended effects, ambiguous situations.

Reflective practice. Encourage reflection: after doing, ask why did this succeed/fail? What assumptions were made? What was missed?

Interdisciplinary integration. Combine STEM with social sciences: include stakeholder interviews, ethnographic observation, communication workshops, ethics discussion.

Organisational support. Reward not just “doing” but “thinking about doing”: sense-making becomes part of the organisational culture.

Implications for Education & Policy

Curricula must not prioritise only technical skills; they must embed social science literacies (communication, ethics, culture, human behaviour).

Policymakers designing workforce development should emphasise both skill + sense not just “skills for jobs” but “sense-making for purpose”.

Organisations should invest in continuous learning zones where employees can reflect, discuss context, challenge assumptions — not just train new tools.

Conclusively, having technical skill is crucial, but insufficient on its own. What distinguishes truly effective individuals and organisations is the ability to make sense of their environment: to ask “why?”, “when?”, “how?”, “what if?” and act accordingly. The social sciences provide the frameworks, methods and insight to build that sense-making layer. When we ignore that and chase skills alone, we risk building many capable people who know how but lack clarity on what or why. The path forward lies in integrating skill + sense.

References

Weick, K. E., Sutcliffe, K. M. & Obstfeld, D. (2005). Organizing and the process of sensemaking. In: Organizational Studies.

Ancona, D. (2007). “Sensemaking: Framing and acting in the unknown”. In The Handbook for Teaching Leadership.

Mohedas, I., Daly, S. R. & Sienko, K. H. (2016). Use of Skill Acquisition Theory to Understand Novice to Expert Development in Design Ethnography. International Journal of Engineering Education.

sienkolab.engin.umich.edu

S Stodd. “Information, Knowledge, and Sense-Making”. Sea Salt Learning (2022).

Julian Stodd's Learning Blog

Wikipedia entry: “The Sociological Imagination” by C. Wright Mills (1959).

Wikipedia