Profile

I live alone in London, since my inspiring husband died 4 years ago. I continue his interest in art and bric -a-brac and unusual objects from boot sales and even laboratories that are de-cluttering old but fascinating equipment.

Committed to community activity and volunteer to help older people get new skills: tablet, smartphone, computers. Also concerned about wider community, UK Europe and worldwide. Strong remainer. Good for British sicence and the planet. So concerned about climate change, energy consumption and well being for all people.

Interested in using science and engineering to improve UK infrastructure in health, transport and telecommunications – broadband for ALL before current 6 th formers graduate or finish apprenticeships.

Love travel, reading, talking and indoor rowing in the gym – and oc course science.

Currently engaged in several research projects and statistical consultancy

Project 1. Science for all: Transparency of Data

• Ensuring  EVERYONE has access  to results  of science
• Using big data to inform policy.  e.g.  impact of obesity on health,  costs and benefits of ‘stop and   search’

Project 2. Decision making:  bias and accuracy

• Applied data: More stop and search leads to  more knives found,  ‘hits’, but  more resentful  innocents,  ‘false alarms’. How to  improve accuracy not just hits? How to  set ‘best  bias  criterion for  all?
• Lab data: Improve mental  arithmetic. Faster,but less accurate. How to determineoptimalsetting

Project 3. Wearable computers

• How can wearable computers and associated apps  be used to help people achieve well specified goals:  health athletc,  intellectual,  dramatic performance
  Statistical Consulting
  Meta analysis, combining the results of many existing studies, to get better evidence for medical decision making and estimation of future needs.

Statistical Consutling

• Application in health, organisationaland  management, technology  for  disabled, etc.

• Breakfast watching TV news
• Morning work with research assistant comparing ways of statistically analysing data. Use several statistical packages.
• Lunch with friends & colleagues, maybe bag lunch seminar
• Home writing and analysing results or planning new studies
• Discuss statistical work by phone or skype
• Hour at gym on indoor rower
• Talk or go out with friends

I live in London with an excellent but aging underground transport network. I also use local rail stations in Hertfordshire and elsewhere. Most stations do not have wheelchair access – and wheelchair type access would also be enormously useful to parent with kids in buggies.

In my view almost all stations have sufficient space to install foldable stairlifts like those made by Stanna for home use. My idea is to promote a nationwide competition to design such lifts and possibly have local communities adopt a station to install the lifts.

Obviously, assessing demand is key to the project. So it would start with a survey on feasibility, desirability and key features.

This would need to be taken further by live inspection of the stations and by asking station users whether (a) they are in favour and (b) if they might help crowd source the costs for their local station.

The £500 would be spent on employing a facilitator for 30 hours at £15/hour to engage with pupils at 9 secondary schools serving 3 different tube stations to get the pupils to perform the feasibility analysis at the stations, and also ask. The facilitator would start with a 3 hour briefing session making use of results of survey, cost £50, before approaching schools.