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Using Data to Create Liveable Cities - Rachel Lim
We talked about:
00:00 DataTalks.Club intro
01:56 Using data to create livable cities
02:52 Rachel's career journey: from geography to urban data science
04:20 What does a transport scientist do?
05:34 Short-term and long-term transportation planning
06:14 Data sources for transportation planning in Singapore
08:38 Rachel's motivation for combining geography and data science
10:19 Urban design and its connection to geography
13:12 Defining a livable city
15:30 Livability of Singapore and urban planning
18:24 Role of data science in urban and transportation planning
20:31 Predicting travel patterns for future transportation needs
22:02 Data collection and processing in transportation systems
24:02 Use of real-time data for traffic management
27:06 Incorporating generative AI into data engineering
30:09 Data analysis for transportation policies
33:19 Technologies used in text-to-SQL projects
36:12 Handling large datasets and transportation data in Singapore
42:17 Generative AI applications beyond text-to-SQL
45:26 Publishing public data and maintaining privacy
45:52 Recommended datasets and projects for data engineering beginners
49:16 Recommended resources for learning urban data science
About the speaker:
Rachel is an urban data scientist dedicated to creating liveable cities through the innovative use of data. With a background in geography, and a masters in urban data science, she blends qualitative and quantitative analysis to tackle urban challenges. Her aim is to integrate data driven techniques with urban design to foster sustainable and equitable urban environments.
Links: - https://datamall.lta.gov.sg/content/datamall/en/dynamic-data.html
00:00 DataTalks.Club intro
01:56 Using data to create livable cities
02:52 Rachel's career journey: from geography to urban data science
04:20 What does a transport scientist do?
05:34 Short-term and long-term transportation planning
06:14 Data sources for transportation planning in Singapore
08:38 Rachel's motivation for combining geography and data science
10:19 Urban design and its connection to geography
13:12 Defining a livable city
15:30 Livability of Singapore and urban planning
18:24 Role of data science in urban and transportation planning
20:31 Predicting travel patterns for future transportation needs
22:02 Data collection and processing in transportation systems
24:02 Use of real-time data for traffic management
27:06 Incorporating generative AI into data engineering
30:09 Data analysis for transportation policies
33:19 Technologies used in text-to-SQL projects
36:12 Handling large datasets and transportation data in Singapore
42:17 Generative AI applications beyond text-to-SQL
45:26 Publishing public data and maintaining privacy
45:52 Recommended datasets and projects for data engineering beginners
49:16 Recommended resources for learning urban data science
Join our slack: https: //datatalks.club/slack.html
View all episodes
By DataTalks.Club
5
77 ratings
We talked about:
00:00 DataTalks.Club intro
01:56 Using data to create livable cities
02:52 Rachel's career journey: from geography to urban data science
04:20 What does a transport scientist do?
05:34 Short-term and long-term transportation planning
06:14 Data sources for transportation planning in Singapore
08:38 Rachel's motivation for combining geography and data science
10:19 Urban design and its connection to geography
13:12 Defining a livable city
15:30 Livability of Singapore and urban planning
18:24 Role of data science in urban and transportation planning
20:31 Predicting travel patterns for future transportation needs
22:02 Data collection and processing in transportation systems
24:02 Use of real-time data for traffic management
27:06 Incorporating generative AI into data engineering
30:09 Data analysis for transportation policies
33:19 Technologies used in text-to-SQL projects
36:12 Handling large datasets and transportation data in Singapore
42:17 Generative AI applications beyond text-to-SQL
45:26 Publishing public data and maintaining privacy
45:52 Recommended datasets and projects for data engineering beginners
49:16 Recommended resources for learning urban data science
About the speaker:
Rachel is an urban data scientist dedicated to creating liveable cities through the innovative use of data. With a background in geography, and a masters in urban data science, she blends qualitative and quantitative analysis to tackle urban challenges. Her aim is to integrate data driven techniques with urban design to foster sustainable and equitable urban environments.
Links: - https://datamall.lta.gov.sg/content/datamall/en/dynamic-data.html
00:00 DataTalks.Club intro
01:56 Using data to create livable cities
02:52 Rachel's career journey: from geography to urban data science
04:20 What does a transport scientist do?
05:34 Short-term and long-term transportation planning
06:14 Data sources for transportation planning in Singapore
08:38 Rachel's motivation for combining geography and data science
10:19 Urban design and its connection to geography
13:12 Defining a livable city
15:30 Livability of Singapore and urban planning
18:24 Role of data science in urban and transportation planning
20:31 Predicting travel patterns for future transportation needs
22:02 Data collection and processing in transportation systems
24:02 Use of real-time data for traffic management
27:06 Incorporating generative AI into data engineering
30:09 Data analysis for transportation policies
33:19 Technologies used in text-to-SQL projects
36:12 Handling large datasets and transportation data in Singapore
42:17 Generative AI applications beyond text-to-SQL
45:26 Publishing public data and maintaining privacy
45:52 Recommended datasets and projects for data engineering beginners
49:16 Recommended resources for learning urban data science
Join our slack: https: //datatalks.club/slack.html
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