Hatching a Whole Lot of Talent.
Background
In his book, The Talent Code, Daniel Coyle argues that "Greatness isn't born. It's grown." He focuses on three key aspects: Deep Practice, Ignition, and Master Coaching.
That got me thinking about how to put such ideas into practice. The term 'Talent Incubator' kept coming to mind. So here are my first ideas on how to set up a personal talent incubator.
Theory
Pieces*:
- Deep Practice–Everyone knows that practice is a key to success. What everyone doesn’t know is that specific kinds of practice can increase skill up to ten times faster than conventional practice.
- Ignition–We all need a little motivation to get started. But what separates truly high achievers from the rest of the pack? A higher level of commitment—call it passion—born out of our deepest unconscious desires and triggered by certain primal cues. Understanding how these signals work can help you ignite passion and catalyze skill development.
- Master Coaching–What are the secrets of the world’s most effective teachers, trainers, and coaches? Discover the four virtues that enable these “talent whisperers” to fuel passion, inspire deep practice, and bring out the best in their students.
Set-up:
- Put together list of targets
- Tools/skills needed for each target
- Practice routine draft
- Ways to increase contacts in practice routine
- Ways to increase speed in practice routine
- Set up ‘incubator’
- Small, like room with whiteboards turned into mini room
- Markers for writing on board
- Drawing pad and markers
- Single-minded focus of a laptop with only a few tabs up
- Music (at first)
- Schedule time to incubate
- Follow up with intrinsic and extrinsic rewards (create system as needed)
- Seek out mentoring
- Video of top members of the field
- Skill share
- Etc.
Action
List of targets:
- Intuitive Coding
- Statistical Methods
- Scientific Writing
- Hypothesis Generation
- Experimental Design
- Public Speaking
- Grant Writing
Tools/skills needed for each target:
- Intuitive Coding - tutorials on coding, coding environment (IDE), challenges for coding, proper coding languages
- Statistical Methods - list of greatest weaknesses, list of greatest strengths, mathematical foundations of methods, ruthless determination for visualization, summary, and fitting
- Scientific Writing - general principles of writing, examples of great papers, topics to write on
- Hypothesis Generation - summary of what's already been done on the topic, list of at least 10 ways to improve it, schedule to try out ways, progress marker
- Experimental Design- books on good experimental design, examples of papers with good experimental design, types of experimental design, target to create experimental designs for
- Public Speaking - videos of great public speakers, topics to speak on, venues to practice speaking (enough stakes)
- Grant Writing- handbook, training forms, grant targets to actually write for
Steps:
- Practice routine draft
- Ways to increase contacts in practice routine
- Ways to increase speed in practice routine
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