I have been reading two remarkable books lately:
- Pythagoras Trousers – God, Physics and the Gender War – a woman’s answer to WHY there are only 12% women are in Science, Engineering, Technology and Mathematics (STEM)
- Siddharta – Hermann Hesse’s novel about the search for wisdom – another typically male example for teaching philosophy as if men were like women – and the only woman is a courtesane.
- If Einstein had had access to a computer, he would have found what I discovered thanks to my ‘software-aided thinking’: metrology is the missing link between mathematics and physics. He wrote: As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality.
- At CERN where I used to diagnose software, science starts with theories and experiments are carried out to prove them.
- Even in other sciences, men want to match their own models with their own data as proof.
- All our teaching is book-based. In Western languages that means reading from top left to bottom right as a ‘visual bias’ and linear expression of thought.
- We are living in a world where ‘power’ is defined by men who are in positions of power in organisations that run along male ideas.
- Academic and commercial culture foster competition rather than creativity.
- Money and funding are determined by men.
- Individuals don’t count.
But creative spirits are individuals! And co-creativity can happen in the most wonderful ways, when teams of people trust and love each other! The most impressive musical films that were produced in the 1920s had teams of hard core members and flexible occasional contributors.
In solitude with my various computers I could have original thoughts – similar to taking on a job in a lighthouse, as Einstein suggested.
Now I am far from alone to suggest data- and evidence-based science. And there are enough STEM women in granny age to be on Grandma Got STEM.
My three fundamental data methods are more suitable than anything else out there to re-visit time series, multi-dimensional data and images
- to classify, rank, sort and select – with my unique invention of numerical metadata
- to see more depth and detail – for expert users
- and for ‘predictive analytics’ that I address by a generic forecasting method – so that Smart Knowledge Portals can be built.
Will the creative spirit that unites Women Shift Digital be the wave that carries me from my years of splendid intellectual isolation into celebrating women’s capacity for analysis and logic?
Will funding streams open the gates for software lenses as new instruments of investigation?
Will women’s ability for multi-tasking embrace life-long and life-wide learning – at home, with meetups and online rather than in stifling educational environments?