E-Learning-Inclusivo (Mashup)

Cidades Inteligentes.

What else can we predict? In theory, any event that is not random, provided we have enough data to model the context. Examples include passenger load in public transports, availability of parking spots, traffic jams, waste production, energy consumption and revenues of a shop in a specific street. These all share a common underlying principle: use context rather than history to predict behavior.

In themselves, each of these predictions could lead to amazing new products and services. The real power though comes from integrating everything together and modeling an entire city and its interactions with people. For instance, if you can predict where people will need to go tomorrow, then you can create optimal bus routes, minimizing time to destination and walking distance, taking into account predicted traffic, weather and garbage collection schedules. In this ideal system, all services would be optimal and available to citizens at anytime. We call this new way of designing cities "Algorithmic Urbanism".

This article and list goes over tons of new urban ideas that have a lot to do with sustainability and new urbanism. It shows a lot of energy efficient services and smart technology.

This connects to the Unit 7 TEK on new urbanism because it shows how urban places are changing for the future and how urban areas working toward sustainability may look in the future. It gives insight into some incoming or possible smart technologies.

A look at how connected tech and the Internet of Things is affecting our cities.

Learn more:

- http://www.scoop.it/t/21st-century-learning-and-teaching/?tag=wearables

- http://www.scoop.it/t/21st-century-learning-and-teaching/?tag=Internet+of+Things

- http://www.scoop.it/t/securite-pc-et-internet/?tag=Internet+of+things

- http://globaleducationandsocialmedia.wordpress.com/2014/01/21/why-is-it-a-must-to-have-basics-knowledge-of-cyber-security-in-a-connected-technology-world/

The very idea of Smart Cities seems to be based on the assumption that there are technocratic solutions for the routine problems that citizen face. Technology is heralded as the “apolitical” means by which governance can be fixed and saved from the operation of “politics”. Problems of inefficiency that are seen to dominate the old bureaucratic-political order are hence given a “smart” solution by employing “Big Data”. However such a vision does not take into consideration the fallibility of technology or the fact that the technology-centric governance that Smart Cities promote can further exclude the people at the margins of power.

What is driving the Smart City agenda is the need for foreign capital to enter into new territories in the developing world by avoiding some of the regulatory hurdles it otherwise faces. To ease the entry of large foreign investments into such projects, the government provides for a single-window clearance system. Also, many of the proposed Smart Cities are either designated as Special Economic Zones (SEZs) or will house SEZs in them.  SEZs are geographical enclaves which have many exemptions from the regular tax laws, customs and excise duties and labour laws.

The Internet of Things is an important trend within big data. Within a few years we will have to talk in Brontobytes when we discuss data coming from sensors in the smart world of the future. The Internet of Things refers to objects that can be uniquely identified via an IP-address and all of them are connected to the Internet. Objects (which can be anything from a car, to a chair or a bottle of soda) that are equipped with identifiers can be managed and inventoried by computers and algorithms. These objects contain sensors and the data theses sensors collect are shared with an Internet-like structure. All those devices connected to the internet will create a smart world that will change the way societies work. Libelium created market research document with 50 Sensor Applications for a Smarter World and they compiled all those sensor applications into one infographic

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