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Bruce Summers
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Replied to
No One at the Wheel: Driverless Cars and the Road of the Future
RSVP & Add to Your Calendar Autonomous vehicles will be the most disruptive technology to hit society worldwide. In “NO ONE AT THE WHEEL: Driverless Cars and the Road of the Future”, Sam Schwartz’s latest book, he lays out the future- good, bad and ugly. While we will see some major benefits—fewer crashes, less parking, and greater productivity while motoring—we also need to be aware of the big concerns. Autonomous vehicles (AVs) will affect family and work life, business, politics, ethics, the environment, travel, and health. City planning will change significantly as AVs will dominate transportation over the next generation. The streetscape, as we know it today, may be dramatically altered. NO ONE AT THE WHEEL will provide a roadmap for how to respond to the inevitable changes that autonomous vehicles will bring. Stakeholders and citizens will need to work together with government to maximize the benefits of this technology while minimizing its downsides.
Presenter Samuel I. Schwartz President, Chief Executive Officer & Founder, Sam Schwartz Transportation Consultants
Chair Jon Kher Kaw Senior Urban Development Specialist, The World Bank Group
Discussants Annie Gapihan Urban Development Specialist, The World Bank Group Yang Chen Senior Transport Specialist, The World Bank Group
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5 days ago |
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Bruce Summers
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Replied to FIWARE Initiatives for Cities: FIWARE community, standards and components for platforms of choice for Smart Cities Show more |
5 days ago |
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Basak Gunes Basat Unal
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Posted FIWARE Initiatives for Cities: FIWARE community, standards and components for platforms of choice for Smart Cities on Calendar Show more |
5 days ago |
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Basak Gunes Basat Unal
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Posted No One at the Wheel: Driverless Cars and the Road of the Future on Calendar
RSVP & Add to Your Calendar Autonomous vehicles will be the most disruptive technology to hit society worldwide. In “NO ONE AT THE WHEEL: Driverless Cars and the Road of the Future”, Sam Schwartz’s latest book, he lays out the future- good, bad and ugly. While we will see some major benefits—fewer crashes, less parking, and greater productivity while motoring—we also need to be aware of the big concerns. Autonomous vehicles (AVs) will affect family and work life, business, politics, ethics, the environment, travel, and health. City planning will change significantly as AVs will dominate transportation over the next generation. The streetscape, as we know it today, may be dramatically altered. NO ONE AT THE WHEEL will provide a roadmap for how to respond to the inevitable changes that autonomous vehicles will bring. Stakeholders and citizens will need to work together with government to maximize the benefits of this technology while minimizing its downsides.
Presenter Samuel I. Schwartz President, Chief Executive Officer & Founder, Sam Schwartz Transportation Consultants
Chair Jon Kher Kaw Senior Urban Development Specialist, The World Bank Group
Discussants Annie Gapihan Urban Development Specialist, The World Bank Group Yang Chen Senior Transport Specialist, The World Bank Group
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12 days ago |
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Basak Gunes Basat Unal
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Updated [Presentation & Recording posted] Workshop on Machine Learning for Cities: From Key Concepts to Smart City Applications on Calendar
Find the presentation and outcome slides of this event attached. Access the source code to produce the figures in the slides and illustrates how the concepts are implemented. Watch the recording of the event.
Opening Remarks Hyoung Gun Wang, Senior Economist & Smart Cities KSB Lead, WBG
Presenters Jon Kastelan, Machine Learning Specialist Nick Jones, DRM Specialist, WBG
Overview: Machine learning (ML) is a set of methods to recognize patterns and make predictions from large datasets. City governments are increasingly using ML methods to help serve their citizens better. This workshop provides staff with an understanding of the nuts-and-bolts of ML in a smart city context. Focused on a simple but powerful family of models – supervised classification – we will walk through the key steps to build and deploy a predictive tool for city authorities. The workshop will familiarize participants with key ML concepts including training and test data, identifying important features for prediction, and model evaluation metrics. Having surveyed recent applied examples, from prioritizing building inspections to targeting energy efficiency upgrades, participants will be invited to brainstorm potential applications in a city of their choice.
Audience: The workshop is open to all Bank staff and consultants with no technical background needed.
Objectives: (i) understand the key steps to build and deploy a machine learning model for city authorities; (ii) identify untapped datasets and use cases where Machine Learning can help your clients.
Agenda:
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Nov 29 2018, 6:21 PM |
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Basak Gunes Basat Unal
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Updated [Presentation & Recording posted] Workshop on Machine Learning for Cities: From Key Concepts to Smart City Applications on Calendar
Find the presentation and outcome slides of this event are attached. Accesse the source code to produce the figures in the slides and illustrates how the concepts are implemented. Watch the recording of the event.
Opening Remarks Hyoung Gun Wang, Senior Economist & Smart Cities KSB Lead, WBG
Presenters Jon Kastelan, Machine Learning Specialist Nick Jones, DRM Specialist, WBG
Overview: Machine learning (ML) is a set of methods to recognize patterns and make predictions from large datasets. City governments are increasingly using ML methods to help serve their citizens better. This workshop provides staff with an understanding of the nuts-and-bolts of ML in a smart city context. Focused on a simple but powerful family of models – supervised classification – we will walk through the key steps to build and deploy a predictive tool for city authorities. The workshop will familiarize participants with key ML concepts including training and test data, identifying important features for prediction, and model evaluation metrics. Having surveyed recent applied examples, from prioritizing building inspections to targeting energy efficiency upgrades, participants will be invited to brainstorm potential applications in a city of their choice.
Audience: The workshop is open to all Bank staff and consultants with no technical background needed.
Objectives: (i) understand the key steps to build and deploy a machine learning model for city authorities; (ii) identify untapped datasets and use cases where Machine Learning can help your clients.
Agenda:
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Nov 29 2018, 6:20 PM |
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Basak Gunes Basat Unal
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Updated [Presentation & Recording posted] Workshop on Machine Learning for Cities: From Key Concepts to Smart City Applications on Calendar
You could find the presentation and outcome slides of this event attached. Access the source code to produce the figures in the slides and illustrates how the concepts are implemented here. Watch the recording of the event here
Opening Remarks Hyoung Gun Wang, Senior Economist & Smart Cities KSB Lead, WBG
Presenters Jon Kastelan, Machine Learning Specialist Nick Jones, DRM Specialist, WBG
Overview: Machine learning (ML) is a set of methods to recognize patterns and make predictions from large datasets. City governments are increasingly using ML methods to help serve their citizens better. This workshop provides staff with an understanding of the nuts-and-bolts of ML in a smart city context. Focused on a simple but powerful family of models – supervised classification – we will walk through the key steps to build and deploy a predictive tool for city authorities. The workshop will familiarize participants with key ML concepts including training and test data, identifying important features for prediction, and model evaluation metrics. Having surveyed recent applied examples, from prioritizing building inspections to targeting energy efficiency upgrades, participants will be invited to brainstorm potential applications in a city of their choice.
Audience: The workshop is open to all Bank staff and consultants with no technical background needed.
Objectives: (i) understand the key steps to build and deploy a machine learning model for city authorities; (ii) identify untapped datasets and use cases where Machine Learning can help your clients.
Agenda:
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Nov 29 2018, 6:17 PM |
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Basak Gunes Basat Unal
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Updated [Presentation & Recording posted] Workshop on Machine Learning for Cities: From Key Concepts to Smart City Applications on Calendar
WATCH THE RECORDING HERE.
Opening Remarks Hyoung Gun Wang, Senior Economist & Smart Cities KSB Lead, WBG
Presenters Jon Kastelan, Machine Learning Specialist Nick Jones, DRM Specialist, WBG
Overview: Machine learning (ML) is a set of methods to recognize patterns and make predictions from large datasets. City governments are increasingly using ML methods to help serve their citizens better. This workshop provides staff with an understanding of the nuts-and-bolts of ML in a smart city context. Focused on a simple but powerful family of models – supervised classification – we will walk through the key steps to build and deploy a predictive tool for city authorities. The workshop will familiarize participants with key ML concepts including training and test data, identifying important features for prediction, and model evaluation metrics. Having surveyed recent applied examples, from prioritizing building inspections to targeting energy efficiency upgrades, participants will be invited to brainstorm potential applications in a city of their choice.
Audience: The workshop is open to all Bank staff and consultants with no technical background needed.
Objectives: (i) understand the key steps to build and deploy a machine learning model for city authorities; (ii) identify untapped datasets and use cases where Machine Learning can help your clients.
Agenda:
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Nov 29 2018, 2:32 AM |
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Basak Gunes Basat Unal
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Updated [Presentation and Recording posted] WBG Korea Office BBL Series: Data Platforms for Smart Cities: Experience and Lessons from Korea on Calendar
Hyoung Gun Wang's presentation is attached. Watch the recording here. For any questions please contact Jung Choi
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Nov 26 2018, 3:55 PM |
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Basak Gunes Basat Unal
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Updated [Presentation and Recording posted] WBG Korea Office BBL Series: Data Platforms for Smart Cities: Experience and Lessons from Korea on Calendar
Hyoung Gun Wang's presentation is attached. Watch the recording here. For any questions please contact Jung Choi
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Nov 26 2018, 3:55 PM |
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