As a major conference on urban governance opens in Delhi, Ricky Burdett, head of the LSE Cities program, spoke to DW about India's new urbanization drive. He explains why cities need to be sustainable - and equitable.
Size isn't everything. Big data may be about storing terabytes or petabytes of information but it is also about complexity, and complexity often brings security challenges. Are you ready to handle them?
Right now, someone in a marketing or finance role somewhere in your organisation is probably putting together a big data proposal, and if they aren't it won't be long before they think of it.
Beyond using a strong password to access a database, they probably have no idea of the security burden it will bring. That means the security part is down to you. ...
As the culmination of the Olympic Agenda 2020 decision-making process moves ever closer, the inaugural Smart Cities & Sport Summit in Lausanne, Switzerland provided an insightful prelude for what's to come.
When Thomas Bach, President of the International Olympic Committee (IOC), announced the reform process in December 2013, it was seen by many as a somewhat unnecessary process, especially after the success of the two most recent Summer Olympic Games in Beijing and London.
But following the withdrawal of four of the six candidates in the race to host the 2022 Winter Olympic and Paralympic Games, coupled with the growing scepticism of many countries across Europe about the benefits of bidding to host major sporting events, the perception of Agenda 2020's importance has significantly changed. ...
In recent months there has been a lot of talk about big stuff. Between 'Big Data' and calls for a return to ‘Longue durée’ history writing, lots of people seem to be trying to carve out their own small bit of 'big data'. This post represents a reflection on what feels to me to be an important emerging strategy for information interrogation driven by the arrival of 'big data' (a 'macroscope'); and a tentative step beyond that, to ask what is lost by focusing exclusively on the very large.
And the place I need to start is with the emergence of what feels to me like an increasingly commonplace label – a ‘macroscope’ - for a core aspiration of a lot of people working in the Digital Humanities. ...
In the era of “big data,” geospatial data is a major contributor to the rapidly growing information stockpile. The United Nations initiative on Global Geospatial Information Management (UN-GGIM) estimates that of the 2.5 quintillion bytes of data generated every day, “a significant amount” is location-aware.
However, besides the fact that there’s just more of it thanks to the proliferation of satellites and smartphones, GIS data is also more detailed, includes more video and more extensive vector data than ever before. Almost overnight, we’ve acquired the ability to collect and catalog detailed spatial information several times a day for literally every inch of the globe....
Motorists drive by traffic lights every day and trust they will work. But NBC 5 Investigates found that as more cities turn to wireless traffic systems, some of those systems are unprotected and open to...
'Delivering the Smart City’, produced by Arup and UCL (University College London) on behalf of the Smart City Expo World Congress, analyses the spending patterns of eight major UK cities to gain an understanding of how much money cities are paying for technology, as well as considering whether this expenditure is ‘smart’.....
A city can be compared to a living system with constantly shifting demands. In order to adapt to these demands, it needs sensors (eyes, ears, skin), controllers (brains), and actuators (hands and legs). The actuators for mobility are vehicles and transportation systems. In Mexico City we have plenty of them. But Mexico City is a city with very limited sensors and brains. The city is blind, deaf, and dumb. Mexico City functions more like a machine than like a living system and cannot adapt to the constantly changing demands of its inhabitants. ...
Rob Kitchin's insight:
Because there has been no data, information, knowledge used in creation and running of cities to date ... insultingly framed piece of fluff
If we assume that a typical user receives just 5 to 10 non-spam messages per day, this means Gmail handles 2 trillion or more inbound messages per year. This rushing torrent of data is not simply dumped into millions of inboxes to sit passively until users take notice. Rather, it undergoes an extraordinary sequence of distinct data mining operations before it ever sees the light of a user inbox. Previously shrouded in secrecy, the existence of these processes has recently been revealed in a landmark class action lawsuit against Gmail. Their bizarre and colorful names are worthy of a spy thriller: Content OneBox, ICEbox, Nemo, Moonshine, Monarch, Borgmon, Starbox, Colossus, Panopticon, HappyHour, and Tigress, among others.
We don’t know exactly what every piece in this vast data mining machine does. But we know that its overarching purpose is to extract information from email content in order to build persistent user profiles and let Google target its ads with ever greater precision. ....
Future Cities Lab's CEO describes his approach to creating interactive artwork for public spaces. And in an entirely different approach, City Innovation Group's founder talks about what she learned by attaching sensors to trash floating down a city's aqueduct system.
WASHINGTON (Reuters) - An agency of the U.S. Justice Department is gathering data from thousands of cell phones, including both criminal suspects and innocent Americans, by using fake communications towers on airplanes, the Wall Street Journal reported on Thursday.
The program run by the U.S. Marshals Service began operations in 2007 and uses Cessna planes flying from at least five major airports and covering most of the U.S. population, the newspaper said, citing people familiar with the operations.
The planes use devices made by Boeing Co that mimic the cell phone towers used by major telecommunications companies and trick mobile phones into revealing their unique registration data, the report said. ...
A little over a year ago we launched CityNext, Microsoft’s people-focused future cities initiative, here in the UK. Since then we have seen tremendous success in helping local authorities up and down the country make their communities more liveable and sustainable places in which to live.
Cities are contemporary metropolises that concentrate human and social activity; engineered to support and develop the physical environment and the people within it, Smart cities, we are led to believe, are the immediate future, where smartness is perceived as a characterisation of advancements or digitalisation, in government, mobility and sustainability. Therefore it is not surprising that many organisations are marketing their smart solutions and products, often to a ubiquitous extent and so called smart cities are striving to outperform each other. But how are smart cities actually being defined and how is performance being measured in an era where there is increasing access to unprecedented amounts of foreseen data? This paper identifies the plethora of the smart city definitions and categories evidenced from the literature and shows that 'Smart cities' lacks a robust coherent definition, with many contradicting facts within what constitutes a smart vision. Notably, almost every attempt from organisations, the European Union or cities themselves has failed to define 'smart' in objective terms that can be accepted globally. Certainly, they all are negotiating with a range of descriptors and smart ways to improve the city. Even the UK's attempts to develop a clear definition and set of standards for smart cities (i.e. PAS 180 and PAS 182) appears to suffer from fundamental differences in how the semantic content of a 'smart' city is defined. This paper demonstrates the necessity for a single 'Smart Cities' definition that deals with both the physical and digital using shared parameter value(s) that can be adopted and scaled amongst different localities and within a range of urban contexts adjusting according to existing city condition(s) and vision(s) setting the paradigm for further innovative research in this area.
Economic science has evolved over several decades toward greater emphasis on empirical work. The data revolution of the past decade is likely to have a further and profound effect on economic research. Increasingly, economists make use of newly available large-scale administrative data or private sector data that often are obtained through collaborations with private firms, giving rise to new opportunities and challenges.
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.