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Lauren Sager Weinstein

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American computer scientist
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Lauren Sager Weinstein
Lauren Sager Weinstein speaks to the London Transport Committee in 2017
BornWashington, D.C.
Alma materPrinceton University Harvard Kennedy School
EmployerTransport for London
Known forBig data in transport

Lauren Sager Weinstein is the Chief Data Officer at Transport for London. She helps TFL use big data to optimise transport in London.

Early life and education

She grew up in Washington, D.C., in a family of engineers. Sager Weinstein completed a bachelor's of arts at Princeton University in 1995. She earned a Masters of Public Policy at Harvard Kennedy School in 2002. She met her husband, Jacob Sager Weinstein, whilst at Princeton University.

Career

Sager Weinstein worked as Field and Planning Deputy in Los Angeles where her husband was working as a screenwriter. She worked for the policy think-tank RAND Corporation. Based on this work, she published Return to Work in California Workers' Compensation in 2005. Sager Weinstein is interested in how transport networks influence cities and how they function.

Sager Weinstein began working for Transport for London in 2002 as a Senior Business Planner. She worked on the introduction of the Oyster card, London's contactless payment card system. She has held various roles at TFL, including Chief of Staff, Head of Oyster Development, Head of Analytics. She is the lead for data development. Over 30 million journeys are made on roads and public transport networks in London every day. TFL collect a significant range of data; including ticketing, bus journeys and records from SCOOT traffic detectors. They have a transparent approach to privacy. The big data sets help Sager Weinstein understand patterns and trends, helping customers travel across the network. TFL have an academic partnership with Massachusetts Institute of Technology, looking to develop a big data solution to overcrowding on public transport.

Sager Weinstein established the first long-term funding packing for infrastructure investment at TFL. When Wandsworth Council were forced to close Putney Bridge for emergency repairs, Sager Weinstein set up a transport interchange and increased bus service on nearby routes to help passengers whose journeys might be affected. She provided the transport analysis which kept Londoners moving during the 2012 Summer Olympics. She led the TFL pilot using depersonalised WiFi Data for analysis. The WiFi connectivity pilot cost £100,000, but the data was worth £322 million. It revealed that passengers take more than 18 different routes when travelling between King's Cross St Pancras and Waterloo. Sager Weinstein published the report "Review of the TfL WiFi Pilot" in 2017.

In 2013 she spoke at the Big Data Analytics conference in London. She was listed in The Female Lead's 20 in Data & Technology.

References

  1. ^ "Lauren Sager Weinstein - The Female Lead". The Female Lead. Retrieved 2018-03-07.
  2. "Princeton Class of 1995". www.princeton95.org. Retrieved 2018-03-07.
  3. ^ "Lauren Sager Weinstein | Metro & Light Rail". www.terrapinn.com. 2018-03-05. Retrieved 2018-03-07.
  4. ^ "WiFi data collection". Transport for London. Retrieved 2018-03-07.
  5. "Walker Books - Jacob Sager Weinstein". www.walker.co.uk. Retrieved 2018-03-07.
  6. "Lauren Sager Weinstein, TFL - Red Smart Women Week 2017". Red Smart Women Week 2017. Retrieved 2018-03-07.
  7. ^ "Women in big data: Why business intelligence and data strategy are the future of transport - Lauren Sager Weinstein, Chief Data Officer at Transport for London - Womanthology". Womanthology. 2017-10-04. Retrieved 2018-03-07.
  8. Return to work in California workers' compensation. Reville, Robert T. Santa Monica, Calif.: Rand. 2004. ISBN 0833030868. OCLC 56464678.{{cite book}}: CS1 maint: others (link)
  9. "Lauren Sager Weinstein, Head of Analytics, Customer Experience, Transport for London | The Tech Partnership". The Tech Partnership. Retrieved 2018-03-07.
  10. Team, The Innovation Enterprise Web. "The Innovation Enterprise". Retrieved 2018-03-07.
  11. "Innovations in London's transport: Big Data for a better customer experience" (PDF). Retrieved 2018-03-07.
  12. "Privacy & cookies". Transport for London. Retrieved 2018-03-07.
  13. ^ "What Does The Head of Analytics at TfL Do? | Plotr Careers Advice | Plotr". www.plotr.co.uk. Retrieved 2018-03-07.
  14. ^ Marr, Bernard. "How Big Data And The Internet Of Things Improve Public Transport In London". Forbes. Retrieved 2018-03-07.
  15. "Lauren Sager Weinstein - Big Data Week London". Big Data Week London. Retrieved 2018-03-07.
  16. "Delivering Better Transport with Big Data - Big Data Week London". Big Data Week London. Retrieved 2018-03-07.
  17. "Tfl plans to make £322m by collecting data from passengers' mobiles via Tube Wi-Fi". Sky News. Retrieved 2018-03-07.
  18. "Wi-fi data could ease Tube overcrowding". BBC News. 2017-09-08. Retrieved 2018-03-07.
  19. "Review of the TfL WiFi pilot" (PDF). TfL. 2017. Retrieved 2018-03-07.
  20. Whitehall Media (2013-12-06), Lauren Sager Weinstein, Transport for London at Big Data Analytics November 2013, retrieved 2018-03-07
  21. "Inspirational women unveiled in "20 in Data & Tech" - DecisionMarketing". www.decisionmarketing.co.uk. Retrieved 2018-03-07.
  22. "20 in Data & Technology Archives - The Female Lead". The Female Lead. Retrieved 2018-03-07.
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