307,07 €
341,19 €
-10% with code: EXTRA
Personal Data-Smart Cities: How Cities Can Utilise Their Citizen's Personal Data to Help Them Become Climate Neutral
Personal Data-Smart Cities: How Cities Can Utilise Their Citizen's Personal Data to Help Them Become Climate Neutral
307,07
341,19 €
  • We will send in 10–14 business days.
This book sets out to address some of the issues that a smart city needs to overcome to make use of both the data currently available to them and how this can be enhanced by using emerging technology enabling a citizen to share their personal data, adding value.It provides answers for those within a smart city, advising their mayors or leaders on introducing new technology. We will cover the topic so as to enable many different public officials to be able to understand the situation from their…
341.19
  • Publisher:
  • ISBN-10: 8770228000
  • ISBN-13: 9788770228008
  • Format: 15.4 x 23.8 x 2.2 cm, kieti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

Personal Data-Smart Cities: How Cities Can Utilise Their Citizen's Personal Data to Help Them Become Climate Neutral (e-book) (used book) | bookbook.eu

Reviews

Description

This book sets out to address some of the issues that a smart city needs to overcome to make use of both the data currently available to them and how this can be enhanced by using emerging technology enabling a citizen to share their personal data, adding value.

It provides answers for those within a smart city, advising their mayors or leaders on introducing new technology. We will cover the topic so as to enable many different public officials to be able to understand the situation from their own perspective, be they lawyers, financial people, service providers, those looking at governance structures, policy makers, etc.

We are contributing to the new model for the European Data Economy. Case studies of existing best practice in the use of data are augmented with examples of embracing a citizen's personal data in the mix, to enable better services to develop and potential new revenue streams to occur. This will enable new business models and investment opportunities to emerge.

We will address the topic of how to put a value on data and will conclude by looking at what new technologies will be emerging in the coming years, to help cities with carbon-neutral targets to have more chance of succeeding.

EXTRA 10 % discount with code: EXTRA

307,07
341,19 €
We will send in 10–14 business days.

The promotion ends in 21d.22:44:50

The discount code is valid when purchasing from 10 €. Discounts do not stack.

Log in and for this item
you will receive 3,41 Book Euros!?
  • Publisher:
  • ISBN-10: 8770228000
  • ISBN-13: 9788770228008
  • Format: 15.4 x 23.8 x 2.2 cm, kieti viršeliai
  • Language: English English

This book sets out to address some of the issues that a smart city needs to overcome to make use of both the data currently available to them and how this can be enhanced by using emerging technology enabling a citizen to share their personal data, adding value.

It provides answers for those within a smart city, advising their mayors or leaders on introducing new technology. We will cover the topic so as to enable many different public officials to be able to understand the situation from their own perspective, be they lawyers, financial people, service providers, those looking at governance structures, policy makers, etc.

We are contributing to the new model for the European Data Economy. Case studies of existing best practice in the use of data are augmented with examples of embracing a citizen's personal data in the mix, to enable better services to develop and potential new revenue streams to occur. This will enable new business models and investment opportunities to emerge.

We will address the topic of how to put a value on data and will conclude by looking at what new technologies will be emerging in the coming years, to help cities with carbon-neutral targets to have more chance of succeeding.

Reviews

  • No reviews
0 customers have rated this item.
5
0%
4
0%
3
0%
2
0%
1
0%
(will not be displayed)