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Lauren Sager Weinstein is the Chief Data Officer at Transport for London. She helps TFL use big data to optimise transport in London.
Lauren Sager Weinstein | |
---|---|
Born | |
Alma mater | Princeton University Harvard Kennedy School |
Employer | Transport for London |
Known for | Big data in transport |
Early life and education
editShe grew up in Washington, D.C., in a family of engineers.[1] Sager Weinstein completed a bachelor's of arts at Princeton University in 1995.[2][3] She earned a Masters of Public Policy at Harvard Kennedy School in 2002.[3] She met her husband, Jacob Sager Weinstein, whilst at Princeton University.[4]
Career
editSager Weinstein worked as Field and Planning Deputy in Los Angeles where her husband was working as a screenwriter.[5][6][7] She worked for the policy think-tank RAND Corporation.[7] Based on this work, she published Return to Work in California Workers' Compensation in 2005.[8] Sager Weinstein is interested in how transport networks influence cities and how they function.[9]
Sager Weinstein began working for Transport for London in 2002 as a Senior Business Planner.[3] She worked on the introduction of the Oyster card, London's contactless payment card system.[1] She has held various roles at TFL, including Chief of Staff, Head of Oyster Development, Head of Analytics.[10][1] She is the lead for data development.[7] Over 30 million journeys are made on roads and public transport networks in London every day.[11] TFL collect a significant range of data; including ticketing, bus journeys and records from SCOOT traffic detectors.[7] They have a transparent approach to privacy.[12] The big data sets help Sager Weinstein understand patterns and trends, helping customers travel across the network.[13] TFL have an academic partnership with Massachusetts Institute of Technology, looking to develop a big data solution to overcrowding on public transport.[14]
Sager Weinstein established the first long-term funding packing for infrastructure investment at TFL.[13] 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.[14] She provided the transport analysis which kept Londoners moving during the 2012 Summer Olympics.[7] She led the TFL pilot using depersonalised WiFi Data for analysis.[15][16] The WiFi connectivity pilot cost £100,000, but the data was worth £322 million.[17] It revealed that passengers take more than 18 different routes when travelling between King's Cross St Pancras and Waterloo.[18] Sager Weinstein published the report "Review of the TfL WiFi Pilot" in 2017.[4][19]
In 2013 she spoke at the Big Data Analytics conference in London.[20] She was listed in The Female Lead's 20 in Data & Technology.[21][22]
References
edit- ^ a b c "Lauren Sager Weinstein - The Female Lead". The Female Lead. Retrieved 2018-03-07.
- ^ "Princeton Class of 1995". www.princeton95.org. Retrieved 2018-03-07.
- ^ a b c "Lauren Sager Weinstein | Metro & Light Rail". www.terrapinn.com. 2018-03-05. Retrieved 2018-03-07.
- ^ a b "WiFi data collection". Transport for London. Retrieved 2018-03-07.
- ^ "Walker Books - Jacob Sager Weinstein". www.walker.co.uk. Retrieved 2018-03-07.
- ^ "Lauren Sager Weinstein, TFL - Red Smart Women Week 2017". Red Smart Women Week 2017. Retrieved 2018-03-07.
- ^ a b c d e "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.
- ^ 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) - ^ "Lauren Sager Weinstein, Head of Analytics, Customer Experience, Transport for London | The Tech Partnership". The Tech Partnership. Retrieved 2018-03-07.
- ^ Team, The Innovation Enterprise Web. "The Innovation Enterprise". Retrieved 2018-03-07.
- ^ "Innovations in London's transport: Big Data for a better customer experience" (PDF). Retrieved 2018-03-07.
- ^ "Privacy & cookies". Transport for London. Retrieved 2018-03-07.
- ^ a b "What Does The Head of Analytics at TfL Do? | Plotr Careers Advice | Plotr". www.plotr.co.uk. Retrieved 2018-03-07.
- ^ a b Marr, Bernard. "How Big Data And The Internet Of Things Improve Public Transport In London". Forbes. Retrieved 2018-03-07.
- ^ "Lauren Sager Weinstein - Big Data Week London". Big Data Week London. Retrieved 2018-03-07.
- ^ "Delivering Better Transport with Big Data - Big Data Week London". Big Data Week London. Retrieved 2018-03-07.
- ^ "Tfl plans to make £322m by collecting data from passengers' mobiles via Tube Wi-Fi". Sky News. Retrieved 2018-03-07.
- ^ "Wi-fi data could ease Tube overcrowding". BBC News. 2017-09-08. Retrieved 2018-03-07.
- ^ "Review of the TfL WiFi pilot" (PDF). TfL. 2017. Retrieved 2018-03-07.
- ^ Whitehall Media (2013-12-06), Lauren Sager Weinstein, Transport for London at Big Data Analytics November 2013, retrieved 2018-03-07
- ^ "Inspirational women unveiled in "20 in Data & Tech" - DecisionMarketing". www.decisionmarketing.co.uk. Retrieved 2018-03-07.
- ^ "20 in Data & Technology Archives - The Female Lead". The Female Lead. Retrieved 2018-03-07.