10  The myth of hard & soft skills

10.1 Key Message

đź‘Ť Realization 1

Hard & soft are hierarchical adjectives that inadequately describe skill sets.

10.1.1 Hard skills & domain-specific skills are complementary, but often considered synonymous

  • Domain-specific skills are niche, often technical skills necessary for a specific STEM discipline
  • The term is often used synonymously with hard skills, which refers to generic technical skills which are shared among many STEM disciplines
  • This raises the perceived value of hard skills from generic & basic to niche & valuable
Domain-specific “Hard” Skills “Soft” Skills
Setting: When conducting experiments When working with data When communicating results
Skill set: Laboratory methods & instruments, Reagents, Animal handling, Experimental design Programming, Data management, Computers & servers, Analysis methods, Result interpretation Visual media, Oral presentations, Written papers

10.1.2 Hard & Soft describe a binary value hierarchy of skills in STEM

  • Hard recalls positive, high-value words - necessary & laudable
  • Soft recalls negative, low-value words - optional & unimpressive
Domain-specific & “Hard” Skills “Soft” Skills
Essential Optional
Difficult Easy
Technical Emotional
Objective Subjective
Logic Gut-feeling
Precise Imprecise
Learnable knowledge Innate ability
Measurable/quantifiable unmeasurable/unquantifiable

10.1.3 Lacklustre Training Reinforces Soft Skills as Low-value

  • Training in soft skills is sometimes provided by individuals with poor technical of domain-specific skills, confirming that they are easy, subjective and unnecessary to study
  • Attending long courses and demonstrating practical ability are essential for hard skills, but often optional or not even available for soft skills
  • Training in hard skills often neglects to reveal how and where soft skills contributed to the success of a STEM project.

10.1.4 Hard & Soft are Outdated Terms

  • Methods where hard and soft skills act synergistically are not easily described using a dichotomy, e.g.:
    • Data visualisation combines domain-specific knowledge, statistics, programming, communication, design, etc.
  • Broadly-defined skills that combine elements of both hard and soft skills are also poorly served.
    • Research design combines deep technical understanding with critical & creative thinking and the collection, organisation & synthesis of knowledge

10.1.5 Hard & Soft Reinforce a Misogynistic STEM Culture that Diminishes Soft Traits

  • “Hard” recalls masculine and “soft” recalls feminine traits, combined with the value hierarchy above, this reinforces a male-centric STEM ecosystem