The topic of this article may not meet Wikipedia's
notability guideline for biographies. (June 2023) |
Lauren Sager Weinstein | |
---|---|
Born | |
Alma mater | Princeton University Harvard Kennedy School |
Employer | Transport for London |
Known for | Big 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.
She 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]
Sager 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]
{{
cite book}}
: CS1 maint: others (
link)
The topic of this article may not meet Wikipedia's
notability guideline for biographies. (June 2023) |
Lauren Sager Weinstein | |
---|---|
Born | |
Alma mater | Princeton University Harvard Kennedy School |
Employer | Transport for London |
Known for | Big 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.
She 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]
Sager 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]
{{
cite book}}
: CS1 maint: others (
link)