Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
A research in progress on smart cities globally. We look at cases in China, Japan, Malaysia, United States and Spain within Europe. We are also working on an ecosystem of people interested in smart city development and policies we invite you to join at https://plus.google.com/communities/108050236028662715756?partnerid=ogpy0
Smart Cities are all about collaboration, sharing and transparency. They need true openness of data. It is not just governments opening up their data for everyone in public platforms. It is individual citizens and privately-owned companies offering their data to the government or government departments sharing their data with one another. That is the true meaning of ‘Open Data’, which goes beyond the traditional definitions. Because Smart Cities eat the ‘status quo’ for breakfast. They change at the speed of light, together with their environment. They are the cities of the future.
A research in progress on smart cities globally. We look at cases in China, Japan, Malaysia, United States and Spain within Europe. We are also working on an ecosystem of people interested in smart city development and policies we invite you to join at https://plus.google.com/communities/108050236028662715756?partnerid=ogpy0
Open Data initiatives are increasingly considered
as defining elements of emerging smart cities.
However, few studies have attempted to provide a
better understanding of the nature of this convergence
and the impact on both domains. This paper presents
findings from a detailed study of 18 open data
initiatives across five smart cities – Barcelona,
Chicago, Manchester, Amsterdam, and Helsinki.
Specifically, the study sought to understand how open
data initiatives are shaped by the different smart cities
contexts and concomitantly what kinds of innovations
are enabled by open data in these cities. The findings
highlight the specific impacts of open data innovation
on the different smart cities domains, governance of
the cities, and the nature of datasets available in the
open data ecosystem.
Link to the paper: http://conferences.computer.org/hicss/2015/papers/7367c326.pdf
Two of the main current challenges faced by society are the growing urbanization and ageing of population. ICTs play a key role helping us addressing these socioeconomic problems which are paramount for our future progress. Firstly, this talk will overview the opportunities and strengths brought forward by ICT democratization in all societal sectors to make cities more age-friendly, sustainable, productive and satisfying environments. On the other hand, it will also review the weaknesses and threats associated to the increasing adoption of ICT to face these societal challenges. For instance, it will review the need to capture and process personal information to offer assistance services and ease decision making in cities, together with the threats to privacy that personal data management may cause. Several European projects facing the challenges of Sustainable and Inclusive Cities will be described in order to illustrate the high potential of this idea. Both their scientific-technological contributions and their economic potential will be overviewed, highlighting the potential of the Silver Economy – the new market opened to address the progressive societal ageing. Secondly, this talk will give further details about three core pillars to make reality this idea of more elderly-friendly ambient assisted cities, namely Internet of Things, Big Data and higher stakeholder participation and collaboration. Through use cases extracted from European projects, examples of novel personal health devices connected to Internet, new ways to correlate and process information in order to enhance decision-making and emerging approaches to make elderly people to have a higher involvement and engagement in aspects related to personal autonomy and their higher societal involvement will be provided. Finally, the talk will conclude exemplifying how Spanish administrations are addressing ageing problems through smart healthcare technologies.
Smart Cities that don't go "bump" in the night: delivering interoperable smar...Rick Robinson
I gave this presentation at the launch of the British Standards Institute's development of standards for interoperability between Smart Cities systems. It draws on my experience delivering large-scale, standards-based technology architectures. Whilst Open Standards will be absolutely crucial to the delivery and operation of interoperable, open Smart Cities systems, they are not a panacea, and it's vital that we're aware of their limitations as well as their value.
A Tale of Open Data Innovations in Five Smart CitiesAdegboyega Ojo
Open Data initiatives are increasingly considered as defining elements of emerging smart cities. However, few studies have attempted to provide a better understanding of the nature of this convergence and the impact on both domains. This paper presents findings from a detailed study of 18 open data initiatives across five smart cities – Barcelona, Chicago, Manchester, Amsterdam and Helsinki. Specifically, the study sought to understand how open data programs are shaped by the different smart cities contexts and concomitantly what kinds of innovations are enabled by open data in these cities. The findings highlight the specific impacts of open data innovation on the different smart cities domains, governance of the cities, and the nature of datasets available in the open data ecosystem.
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
Conference at Tongi University - Shanghai: Smart City for developing and eme...Isam Shahrour
The conference of professor Isam Shahrour presented the urban challenges of emerging and developing countries, the concept of the Smart City and how this concept could help in facing the challenges of these countries. It also presents the implementation of the Smart City concept through the construction of the SunRise Smart City demonstrator.
It’s the age of getting smart or smarter. Technology has been seeping into every sphere of our lives in the past few years. After our phones and televisions have gotten smarter, it’s time to envisage our cities to become smarter. Big Data and the Internet of Things (IoT) have a significant role to play in making our lives simpler by inter-connecting our scattered digital footprints to create an efficient and cohesive habitable unit for us. While the idea of a smart city has been floating around for some time now, its successful implementation needs to counter and conquer many roadblocks.
Read the full blog here: http://suyati.com/the-role-of-big-data-in-smart-cities/
Reach us at: achoudhury@suyati.com
Why commercially viable cross-domain use cases will drive innovation and hori...Open & Agile Smart Cities
In a joint webinar on 24 May 2018, AIOTI and OASC addressed the question “Why commercially viable cross-domain use cases will drive innovation and horizontalization of IoT-enabled smart cities”.
Speakers:
Keith Dickerson, AIOTI and Climate Associates
Martin Brynskov, OASC
Omar Elloumi, AIOTI and Nokia.
Pauline Riordan Dublinked Smart Dublin Launch 8th March 16Mainard Gallagher
Pauline Riordan has worked for over 16 years in Irish local government in a number of roles including open data, strategic design, stakeholder engagement and urban planning. Since 2015 she is the manager of the Dublinked Open Data Platform and innovation network, dealing with data, smart city and research issues both regionally and internationally. Pauline has qualifications in urban planning, urban design and architecture and has a keen interest in sustainable living, future cities and new models of collaborative urbanism.
This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms.
Proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation WeLive co-creation process
The two-phase evaluation methodology designed and the evaluation results of pre-pilot sub-phase are also presented.
Including early user experience evaluation for WeLive
LDAC 2015 - Towards an industry-wide ifcOWL: choices and issuesPieter Pauwels
Presentation at LDAC 2015 (http://ldac-2015.bwk.tue.nl/) in Eindhoven, together with Maria Poveda-Villalon (UPMadrid): Towards an industry-wide ifcOWL: choices and issues.
Open Data initiatives are increasingly considered
as defining elements of emerging smart cities.
However, few studies have attempted to provide a
better understanding of the nature of this convergence
and the impact on both domains. This paper presents
findings from a detailed study of 18 open data
initiatives across five smart cities – Barcelona,
Chicago, Manchester, Amsterdam, and Helsinki.
Specifically, the study sought to understand how open
data initiatives are shaped by the different smart cities
contexts and concomitantly what kinds of innovations
are enabled by open data in these cities. The findings
highlight the specific impacts of open data innovation
on the different smart cities domains, governance of
the cities, and the nature of datasets available in the
open data ecosystem.
Link to the paper: http://conferences.computer.org/hicss/2015/papers/7367c326.pdf
Two of the main current challenges faced by society are the growing urbanization and ageing of population. ICTs play a key role helping us addressing these socioeconomic problems which are paramount for our future progress. Firstly, this talk will overview the opportunities and strengths brought forward by ICT democratization in all societal sectors to make cities more age-friendly, sustainable, productive and satisfying environments. On the other hand, it will also review the weaknesses and threats associated to the increasing adoption of ICT to face these societal challenges. For instance, it will review the need to capture and process personal information to offer assistance services and ease decision making in cities, together with the threats to privacy that personal data management may cause. Several European projects facing the challenges of Sustainable and Inclusive Cities will be described in order to illustrate the high potential of this idea. Both their scientific-technological contributions and their economic potential will be overviewed, highlighting the potential of the Silver Economy – the new market opened to address the progressive societal ageing. Secondly, this talk will give further details about three core pillars to make reality this idea of more elderly-friendly ambient assisted cities, namely Internet of Things, Big Data and higher stakeholder participation and collaboration. Through use cases extracted from European projects, examples of novel personal health devices connected to Internet, new ways to correlate and process information in order to enhance decision-making and emerging approaches to make elderly people to have a higher involvement and engagement in aspects related to personal autonomy and their higher societal involvement will be provided. Finally, the talk will conclude exemplifying how Spanish administrations are addressing ageing problems through smart healthcare technologies.
Smart Cities that don't go "bump" in the night: delivering interoperable smar...Rick Robinson
I gave this presentation at the launch of the British Standards Institute's development of standards for interoperability between Smart Cities systems. It draws on my experience delivering large-scale, standards-based technology architectures. Whilst Open Standards will be absolutely crucial to the delivery and operation of interoperable, open Smart Cities systems, they are not a panacea, and it's vital that we're aware of their limitations as well as their value.
A Tale of Open Data Innovations in Five Smart CitiesAdegboyega Ojo
Open Data initiatives are increasingly considered as defining elements of emerging smart cities. However, few studies have attempted to provide a better understanding of the nature of this convergence and the impact on both domains. This paper presents findings from a detailed study of 18 open data initiatives across five smart cities – Barcelona, Chicago, Manchester, Amsterdam and Helsinki. Specifically, the study sought to understand how open data programs are shaped by the different smart cities contexts and concomitantly what kinds of innovations are enabled by open data in these cities. The findings highlight the specific impacts of open data innovation on the different smart cities domains, governance of the cities, and the nature of datasets available in the open data ecosystem.
Introduction: Technological and methodical pillars for Smarter Environment Enablement
Part I: Smarter Environments Theoretical Grounding
What is a Smart Environment?
Technological enablers: IoT, Web of Data and Persuasive Technologies
Technology mediated Human Collaboration: need for co-creation
Killer application domains: Open Government & Age-friendly cities
Part II: Review of core enablers for Smarter Environments
Co-creation methodologies: Design for Thinking
Internet of Things and Web of Things
Web of Data: Linked Data, Crowdsourcing & Big Data
Part III: WeLive Case Study
WeLive as Open Government enabling methodology and platform
Reflections on the need for collaboration among stakeholders to realize Smarter Cities
Conclusions and practical implications
Smart Cities and Big Data - Research Presentationannegalang
Research presentation on smart cities (sensor technology) and big data, presented in a graduate course I took on Transmedia Design and Digital Culture.
Conference at Tongi University - Shanghai: Smart City for developing and eme...Isam Shahrour
The conference of professor Isam Shahrour presented the urban challenges of emerging and developing countries, the concept of the Smart City and how this concept could help in facing the challenges of these countries. It also presents the implementation of the Smart City concept through the construction of the SunRise Smart City demonstrator.
It’s the age of getting smart or smarter. Technology has been seeping into every sphere of our lives in the past few years. After our phones and televisions have gotten smarter, it’s time to envisage our cities to become smarter. Big Data and the Internet of Things (IoT) have a significant role to play in making our lives simpler by inter-connecting our scattered digital footprints to create an efficient and cohesive habitable unit for us. While the idea of a smart city has been floating around for some time now, its successful implementation needs to counter and conquer many roadblocks.
Read the full blog here: http://suyati.com/the-role-of-big-data-in-smart-cities/
Reach us at: achoudhury@suyati.com
Why commercially viable cross-domain use cases will drive innovation and hori...Open & Agile Smart Cities
In a joint webinar on 24 May 2018, AIOTI and OASC addressed the question “Why commercially viable cross-domain use cases will drive innovation and horizontalization of IoT-enabled smart cities”.
Speakers:
Keith Dickerson, AIOTI and Climate Associates
Martin Brynskov, OASC
Omar Elloumi, AIOTI and Nokia.
Pauline Riordan Dublinked Smart Dublin Launch 8th March 16Mainard Gallagher
Pauline Riordan has worked for over 16 years in Irish local government in a number of roles including open data, strategic design, stakeholder engagement and urban planning. Since 2015 she is the manager of the Dublinked Open Data Platform and innovation network, dealing with data, smart city and research issues both regionally and internationally. Pauline has qualifications in urban planning, urban design and architecture and has a keen interest in sustainable living, future cities and new models of collaborative urbanism.
This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms.
Proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation WeLive co-creation process
The two-phase evaluation methodology designed and the evaluation results of pre-pilot sub-phase are also presented.
Including early user experience evaluation for WeLive
LDAC 2015 - Towards an industry-wide ifcOWL: choices and issuesPieter Pauwels
Presentation at LDAC 2015 (http://ldac-2015.bwk.tue.nl/) in Eindhoven, together with Maria Poveda-Villalon (UPMadrid): Towards an industry-wide ifcOWL: choices and issues.
BuildingSMART Standards Summit 2015 - Technical Room - Linked Data for Constr...Pieter Pauwels
Presentation at the Technical Room of the BuildingSMART Standards Summit October 2015 in Singapore. The presentation was done together with Jakob Beetz, TUEindhoven, with strong support by Walter Terkaj, ITIA-CNR, and Kris McGlinn, TCDublin. It is part of the SWIMing H2020 project, run by Kris McGlinn (http://swiming-project.eu/).
BabelNet Workshop 2016 - Making sense of building data and building product dataPieter Pauwels
Presentation at the 2016 BabelNet Workshop on 2 March 2016 IN Luxembourg (http://babelnet.org/lux): "Making sense of building data and building product data". Together with Thomas Krijnen (TUEindhoven) and Jakob Beetz (TUEindhoven). The paper is available at http://babelnet.org/lux/index.html#program_section.
CIB W78 2015 - Keynote "The Web of Construction Data:Pathways and Opportunities"Pieter Pauwels
Keynote presentation for the 32nd CIB W78 conference in Eindhoven (2015): "The Web of Construction Data:Pathways and Opportunities". With many thanks to the researchers who are referenced throughout the presentation.
http://cib-w78-2015.bwk.tue.nl/
ECPPM2016 - SimpleBIM: from full ifcOWL graphs to simplified building graphsPieter Pauwels
Presentation at the 11th European Conference on Product and Process Modelling (2016), in Limassol, Cyprus. Presentation and article are authored by Pieter Pauwels and Ana Roxin.
BuildingSMART Standards Summit 2015 - JBeetz - Product Room - Use Cases for i...Pieter Pauwels
Presentation held by Jakob Beetz at the BuildingSMART Standards Summit 2015 in Singapore. The presentation was made in the Product Room and aimed at investigating and discussing the relation between the Linked Data Working Group (LDWG) and the buildingSMART Data Dictionary (bSDD) Working Group.
ACM SIGMOD SBD2016 - Querying and reasoning over large scale building dataset...Pieter Pauwels
Presentation at the International Workshop on Semantic Big Data (SBD 2016), held in conjunction with the 2016 ACM SIGMOD Conference in San Francisco, USA. Authored by Pieter Pauwels, Tarcisio Mendes de Farias, Chi Zhang, Ana Roxin, Jakob Beetz, Jos De Roo, Christophe Nicolle.
ECPPM2016 - SemCat: Publishing and Accessing Building Product Information as ...Pieter Pauwels
Presentation at the 11th European Conference on Product and Process Modelling (2016), in Limassol, Cyprus. Presentation and article are authored by Gudni Gundason and Pieter Pauwels.
LDAC 2015 - Selection of IFC subsets using ifcOWL and rewrite rulesPieter Pauwels
Presentation at LDAC2015 Eindhoven (http://ldac-2015.bwk.tue.nl), together with Matthias Weise (AEC3): Selection of IFC subsets using ifcOWL and rewrite rules.
Presentation about the current status of IFC2RDF tools for the Accelerating BIM workshop, held on October 2015 in Eindhoven (NL), collocated with the CIB W78 2015 conference.
From the White House to your local municipality, government agencies, NGOs, and corporations are making more data and applications available to citizens. Government agencies are promoting not only data, but application programming interfaces (APIs) and interactive widgets to help developers get access to timely data. Now anyone can look for patterns in data and identify trends that offer insight into issues facing people today.
The open data movement is global. In July of 2011, the Open Government Partnership was launched to increase civic participation, fight corruption, and use technology to be more effective and accountable. President Barack Obama said, “I want us to ask ourselves everyday, how are we using technology to make a real difference in people’s lives.”
In the meantime, open data standards are evolving and maturing. Sites like dbpedia, freebase, data.gov.uk, Dublinked and others are cataloging data in Resource Description Framework (RDF) to make data accessible anywhere anytime. New standards such as Open Data Protocol (OData) are maturing and being adopted by more open data practitioners.
Corporations are doing their part as well. IBM Corporate Citizenship & Corporate Affairs is sponsoring City Forward, a free, web-based platform that enables users–city officials, academics and interested citizens–to view and interact with data while engaging in an ongoing public dialogue.
To learn more about the open data movement and how City Forward is addressing data, the value proposition, and legal challenges associated with enabling open data, view the City Forward Open Data Standards presentation.
Presentation authors: Gina Cardosi, IBM Certified Senior Project Manager, and Dave Rook, IBM IT Architect.
Learn how to research and utilize Big Data to tell the story of your community and ultimately attract companies, talent, and capital to your front door.
CIO Event - Big data, open data and telepathy: building better places to live...Global Business Intel
Big data, open data and telepathy: building better places to live, work and travel
Presented by: Rick Robinson, IT Director, Smart Data and Technology, Amey
Local Open Data: A perspective from local government in England by Gesche SchmidOpening-up.eu
Local Open Data: A perspective from local government in England
to help government and companies to
develop innovative services through the
use of open data and to encourage smart
use of Social Media
Bas Boorsma, Director, Internet of Things & City Digitization North Europe, Cisco
Presentation from the Nordic Digital Business Summit 2016
www.NDBSevents.com
Presentation by Mike Saunt, Founder, Astun Technology at PSFBuzz North East: Effective Social Networking & Web 2.0 Strategies for Local Authorities - a Public Sector Forums conference, 7 July 2009, Newcastle upon Tyne.
Open Innovation - Winter 2014 - Socrata, Inc.Socrata
As innovators around the world push the open data movement forward, Socrata features their stories, successes, advice, and ideas in our quarterly magazine, “Open Innovation.”
The Winter 2014 issue of Open Innovation is out. This special year-in-review edition contains stories about some of the biggest open data achievements in 2013, as well as expert insights into how open data can grow and where it may go in 2014.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Cancer cell metabolism: special Reference to Lactate PathwayAADYARAJPANDEY1
Normal Cell Metabolism:
Cellular respiration describes the series of steps that cells use to break down sugar and other chemicals to get the energy we need to function.
Energy is stored in the bonds of glucose and when glucose is broken down, much of that energy is released.
Cell utilize energy in the form of ATP.
The first step of respiration is called glycolysis. In a series of steps, glycolysis breaks glucose into two smaller molecules - a chemical called pyruvate. A small amount of ATP is formed during this process.
Most healthy cells continue the breakdown in a second process, called the Kreb's cycle. The Kreb's cycle allows cells to “burn” the pyruvates made in glycolysis to get more ATP.
The last step in the breakdown of glucose is called oxidative phosphorylation (Ox-Phos).
It takes place in specialized cell structures called mitochondria. This process produces a large amount of ATP. Importantly, cells need oxygen to complete oxidative phosphorylation.
If a cell completes only glycolysis, only 2 molecules of ATP are made per glucose. However, if the cell completes the entire respiration process (glycolysis - Kreb's - oxidative phosphorylation), about 36 molecules of ATP are created, giving it much more energy to use.
IN CANCER CELL:
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
Unlike healthy cells that "burn" the entire molecule of sugar to capture a large amount of energy as ATP, cancer cells are wasteful.
Cancer cells only partially break down sugar molecules. They overuse the first step of respiration, glycolysis. They frequently do not complete the second step, oxidative phosphorylation.
This results in only 2 molecules of ATP per each glucose molecule instead of the 36 or so ATPs healthy cells gain. As a result, cancer cells need to use a lot more sugar molecules to get enough energy to survive.
introduction to WARBERG PHENOMENA:
WARBURG EFFECT Usually, cancer cells are highly glycolytic (glucose addiction) and take up more glucose than do normal cells from outside.
Otto Heinrich Warburg (; 8 October 1883 – 1 August 1970) In 1931 was awarded the Nobel Prize in Physiology for his "discovery of the nature and mode of action of the respiratory enzyme.
WARNBURG EFFECT : cancer cells under aerobic (well-oxygenated) conditions to metabolize glucose to lactate (aerobic glycolysis) is known as the Warburg effect. Warburg made the observation that tumor slices consume glucose and secrete lactate at a higher rate than normal tissues.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
THE IMPORTANCE OF MARTIAN ATMOSPHERE SAMPLE RETURN.Sérgio Sacani
The return of a sample of near-surface atmosphere from Mars would facilitate answers to several first-order science questions surrounding the formation and evolution of the planet. One of the important aspects of terrestrial planet formation in general is the role that primary atmospheres played in influencing the chemistry and structure of the planets and their antecedents. Studies of the martian atmosphere can be used to investigate the role of a primary atmosphere in its history. Atmosphere samples would also inform our understanding of the near-surface chemistry of the planet, and ultimately the prospects for life. High-precision isotopic analyses of constituent gases are needed to address these questions, requiring that the analyses are made on returned samples rather than in situ.
3. LD4SC-‐15
Arrival of the “urban millennium”
By 2050 over 6 billion people, two thirds of humanity, will be living in towns and cities
Source: Smart Cities How will we manage our cities in the 21C?, Colin Harrison IBM Corporate
Strategy Member, IBM Academy of Technology
Indoor air pollution
resulting from the use of
solid fuels [by poorer
segments of society] is a
major killer!
Claims the lives of 1.5 million people
each year, more than half of them below
the age of five (4000 deaths per day)
Water problems affect
half of humanity!!!!
1.1 billion people in developing
countries have inadequate access to
water, and 2.6 billion lack basic
sanitation
1.6 billion people —
a quarter of
humanity — live
without electricity!
South Asia, Sub-Saharan Africa
and East Asia have the greatest
number of people living without
electricity (as high as 706 million
in South Asia)Source: 2008 UN Habitat; Smart Cities How will we manage our
cities in the 21C?, Colin Harrison IBM Corporate Strategy
Introduc&on
Mo&va&on
–
Today’s
Ci&es
are
Confronted
with
Serious
Dilemmas
4. LD4SC-‐15
ASIA N.A. & EUROPE AFRICA LATIN AMERICA
Rapid expansion Negative growth
Rural exodus increasing
poverty
Decentralization
§ Over the next decade, Asia’s
urban areas will grow by more
than 100,000 people a day
§ Growth rates are more rapid
than the investment in
infrastructure
§ Benefits of new infrastructure
investments have not been
distributed equally
§ 46 countries (including
Germany, Italy, most former
Soviet states) are expected to
be smaller in 2050
§ The number of shrinking
cities has increased faster in
the last 50 years than the
number of expanding cities
§ In 2008, more than 12M
Africans left their rural homes
to live in urban areas
§ The projected increase in
urban migration will exacerbate
the problems of providing
infrastructure, sanitation.
health services, and food
§ Large cities have
incorporated nearby villages
and towns – as a result, large
urban areas developed sub-
centers whose functions
duplicated those of the central
city
§ Many large cities are
competing with their outlying
suburbs for people, revenue,
and employment
Source:
Various;
IBM
MI
Analysis;
Introduc&on
Mo&va&on
–
Regions
have
both
Common
and
Unique
Challenges
5. LD4SC-‐15
Source:
Various;
IBM
MI
Analysis;
Introduc&on
The Sustainable Eco-City
The Well Planned City
The Healthy and Safe City
The Cultural-
Convention Hub
The City of Digital Innovation
Mo&va&on
–
Beyond
the
prac&cal
objec&ves,
ci&es
have
‘aspira&ons’
The City of Commerce
6. LD4SC-‐15
Miami,
USA
Dublin,
Ireland
Rio,
Brazil
• 5.5
billion
hours
of
travel
delay
• 2.9
billion
gallons
of
wasted
fuel
in
the
USA
• $121
billion
/
year
• 0.7%
of
USA
GDP
*5
over
the
past
30
years
Bologna,
Italy
How
to
reduce
traffic
congesHon
?
Introduc&on
Mo&va&on
–
Socio-‐Economic
Context
7. LD4SC-‐15
Introduc&on
Mo&va&on
–
Limita&on
of
Exis&ng
Systems
(Example:
Traffic)
(1)
Most
traffic
systems
already
support
Basic
Analy&cs
and
Visualiza&on!!!
Basic
AnalyHcs
from
Bus
/
Taxi
data
8. LD4SC-‐15
• All
exis&ng
traffic
management
systems
are
based
on
ONE
signal
/
stream
• No
possible
interpretaHon
of
traffic
Anomalies
• No
IntegraHon
of
Exogenous
Data
No
SemanHcs
/
Context
!
No
ExplanaHon
No
Diagnosis
Introduc&on
Mo&va&on
–
Limita&on
of
Exis&ng
Systems
(Example:
Traffic)
(2)
9. LD4SC-‐15
• Sensor
data
assimilaHon
– Data
diversity,
heterogeneity
– Data
accuracy,
sparsity
– Data
volume
•
Modelling
human
demand
– Understand
how
people
use
the
city
infrastructure
– Infer
demand
pa_erns
•
Factor
in
Uncertainty
– Opera&ons
and
planning
– Organise
and
open
data
and
knowledge,
to
engage
ci&zens,
empower
universi&es
and
enable
business
Introduc&on
Seman&cs
for
ci&es:
How
can
Seman&cs
help
ci&es
transform
?
11. LD4SC-‐15
Introduc&on
Seman&cs
for
ci&es:
why
now?
Ci&es
want
to
be
Smarter
Ci&es!
Nowadays:
Issues
of
Urban
Quality
such
as
housing,
economy,
culture,
social
and
environmental
condi&ons.
13. LD4SC-‐15
Working harder is not sustainable
Cities require innovative approaches
Introduc&on
Seman&cs
for
ci&es:
why
Seman&c
Web,
Linked
Open
Data?
Smart
Systems
16. LD4SC-‐15
Data
format
and
data
access,
collec&on,
storage,
transforma&on
Big
Data
–
The
World
of
Data
Source:
Various;
IBM
MI
Analysis;
17. LD4SC-‐15
Data
format
and
data
access,
collec&on,
storage,
transforma&on
Big
Data
–
4Vs
Source:
Various;
IBM
MI
Analysis;
18. LD4SC-‐15
Data
format
and
data
access,
collec&on,
storage,
transforma&on
Data
Format
and
Heterogeneity
-‐
City
Data
!=
Open
Data
(1)
A Global
Movement Has
Begun to Provide
Transparency and
Democratization
of Data
18November 30, 2011
Don’t see your site?
Update via @usdatagov
(*)
“Driving
Innova&on
with
Open
Data”,
Jeanne
Holm,
Data.gov,
February
9th,
2012
(Presenta&on
to
Ontology
2012)
Think Big, Start Small, Innovate
Data.gov Quick Facts May 2009 October 2011
Total datasets available 47 >400,000
Hits to Data.gov 0 >200 million
Apps and mash ups by citizens and government 0 372 + 1113
RDF triples for semantic applications 0 6.7 billion
Dataset downloads 0 >2.0 million
Nations establishing open data sites 0 28
States offering open data sites 0 31
Cities in North America with open data sites 0 13
Open data contacts in Federal agencies 24 396
Agencies and subagencies participating 7 185
Communities 0 7
Community challenges 0 23
November 30, 2011 11
A
lot
of
relevant
open
data
for
city
data
analy&cs
20. LD4SC-‐15
Miami,
USA
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
Input
• Type
of
anomaly
(bus
speed,
ambulance
delay…)
• Type
of
explana&on
(city
events,
unplanned
events,
road
works,
…)
Output
• Impact
of
events
and
their
characteris&cs
on
anomalies
SemanHc
InterpretaHon
of
Diagnosis
SemanHc
Reasoning:
Diagnosis
SemanHc
Context
SemanHc
Search:
Diagnosis
ExploraHon
Live
IBM
demo:
h_p://208.43.99.116:9080/simplicity/demo.jsp
Live
WWW
demo:
h_p://dublinked.ie/sandbox/star-‐city/
Video:
h_p://goo.gl/TuwNyL
21. LD4SC-‐15
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
Context
• Dublin:
(Diagnosis
of)
Traffic
conges&on
• Bologna:
(Diagnosis
of)
Bus
conges&on
• Miami:
(Diagnosis
of)
Bus
bunching
• Rio:
(Diagnosis
of)
Low
on-‐&me
performance
of
buses
Source
of
Anomaly
Source
of
Diagnosis
22. LD4SC-‐15
Challenge:
Source
of
Anomaly
Source
of
Diagnosis
• Explaining
Traffic
Condi&ons
with
Diagnosis
Reasoning
• Logical
correla&on
of
anomalies
and
diagnosis
in
dynamic
sepngs
• Knowledge
Representa&on
and
Reasoning
• Machine
Learning
/
AI
Diagnosis
• Database:
Large
scale
data
integra&on
• Signal
Processing
/
Stream
Reasoning
Core
Areas
/
Problems:
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
23. LD4SC-‐15
Architecture
of
Diagnosis
Components
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
25. LD4SC-‐15
Challenge:
Predic&ve
reasoning
(as
opposed
to
analyHcs)
in
heterogeneous
and
dynamic
sepngs
• Knowledge
Representa&on
and
Reasoning
• Machine
Learning
/
Knowledge
Discovery
• Database:
Large
scale
data
integra&on
• Signal
Processing
/
Stream
Reasoning
Core
Areas
/
Problems:
Traffic
Condi&on
Road
Incident
Weather
Condi&on
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
26. LD4SC-‐15
Miami,
USA
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
Input
• Type
of
anomaly
(bus
speed,
ambulance
delay…)
• Type
of
explana&on
(city
events,
unplanned
events,
road
works,
…)
Output
• Impact
of
events
and
their
characteris&cs
on
anomalies
Input
• Type
of
anomaly
(bus
speed,
ambulance
delay…)
• Type
of
explana&on
(city
events,
unplanned
events,
road
works,
…)
Output
• Real-‐&me/Historical
diagnosis
results
• Evolu&on
of
diagnosis
over
&me/
space
• Comparison
vs.
historical
Objec&ve:
Real-‐Time
and
Historical
Traffic
Diagnosis
(1)
Live
demo:
h_p://208.43.99.116:9080/simplicity/demo.jsp
Video:
h_p://goo.gl/TuwNyL
27. LD4SC-‐15
Miami,
USA
STAR-‐CITY
(Seman&c
Traffic
Analy&cs
and
Reasoning
for
CITY)
Input
• Type
of
anomaly
(bus
speed,
ambulance
delay…)
• Type
of
explana&on
(city
events,
unplanned
events,
road
works,
…)
Output
• Impact
of
events
and
their
characteris&cs
on
anomalies
Input
• Type
of
anomaly
(bus
speed,
ambulance
delay…)
• Type
of
explana&on
(city
events,
unplanned
events,
road
works,
…)
Output
• Categoriza&on
of
diagnosis
Live
demo:
h_p://208.43.99.116:9080/simplicity/demo.jsp
Video:
h_p://goo.gl/TuwNyL
Objec&ve:
Real-‐Time
and
Historical
Traffic
Diagnosis
(2)
28. LD4SC-‐15
Miami,
USA
h_p://vtce.altervista.org/
Reverse
STAR-‐CITY
system
for
city
managers
29. LD4SC-‐15
Reverse
STAR-‐CITY
system
for
city
managers
Objec&ve:
City
Planning
Input
• Type
of
anomaly
(bus
speed,
ambulance
delay…)
• Type
of
explana&on
(city
events,
unplanned
events,
road
works,
…)
Output
• Impact
of
events
and
their
characteris&cs
on
anomalies
h_p://www.vtce.altervista.org/
32. LD4SC-‐15
Miami,
USA
Mobile
STAR-‐CITY
app
for
ci&zen
in
Dublin
and
Bologna
Use
case
scenario:
MeeHng
the
Increased
Mobility
Demand:
• Scenario
1
“Road
Traffic
Diagnosis”
• Scenario
2
“Road
Traffic
Predic&on”
• Scenario
3
“Personalized
Traffic
Restric&ons”
Outcome:
• One
mobile
app
• Two
pilot
ci&es
(Dublin
and
Bologna)
• Live
and
real-‐&me
environment
• Real
data
(user
calendar,
open
data:
traffic
conges&on,
weather,
events,
road
works,
accident
…)
• but
with
simulated
car
sensor
data
–
Aus&n
;-‐)
Context
33. LD4SC-‐15
Mobile
STAR-‐CITY
app
for
ci&zen
in
Dublin
and
Bologna
Data
Dublin
Car-‐related
User-‐related
Vocabulary
Bologna
34. LD4SC-‐15
Mobile
STAR-‐CITY
app
for
ci&zen
in
Dublin
and
Bologna
User
Context-‐aware
Driving
(User
data)
Open
Context-‐aware
Driving
(Open
data)
Private
Context-‐aware
Driving
(City
data)
Objec&ve:
Context-‐aware
driving
experience
(1)
35. LD4SC-‐15
Mobile
STAR-‐CITY
app
for
ci&zen
in
Dublin
and
Bologna
Objec&ve:
Context-‐aware
driving
experience
(2)
Personal
Events-‐aware
Driving
Car
Sensor
Simula@on
Car
Sensor-‐aware
Driving
36. LD4SC-‐15
Real-‐Time
Urban
Monitoring
in
Dublin
h_ps://www.youtube.com/watch?v=ImTI0jm3OEw
Green:
Dublin
Bike
availability
Purple
dot:
Bus
in
congesHon
Blue:
Noise
Purple
bar:
PolluHon
Red:
AmeniHes
Yellow:
Cameras
37. LD4SC-‐15
Seman&c
Processing
of
Urban
Data
h_ps://www.youtube.com/watch?v=lrUHet5awzw&feature=youtu.be
h_p://50.97.192.242:8080/Dali/
40. LD4SC-‐15
Conclusion
Ci&es
are
characterized
by:
• Big
Data
• Complex
Systems
Ci&es
want
to
be
Smarter:
• More
efficient
• More
reliable
• More
secure
• More
open
Ci&es
can
benefits
from
• REAL
World
data:
Open
Data
to
get
Smarter
• Advances
in
AI
AI
already
helped
a
lot!!
...
and
should
even
contribute
further
• Op&miza&on,
coordina&on
…
• Cheaper
• Faster
• More
integrated
• More
ci&zen-‐centric
• More
a_rac&ve
• More
Intelligent
• Sustainable
• Be_er
city
planning
• Integrated
Problems
• Scalability
Challenges
41. LD4SC-‐15
Future
Work
Analy&cs
and
Reasoning:
Scalability
from
One
City
to
Another
One
Picture
of
different
ci&es
42. LD4SC-‐15
Future
Work
Applica&on:
From
Ci&es
to
mini-‐Ci&es
Airport
Supply-‐Chain
Building
Stadium
Warehouse
43. LD4SC-‐15
Future
Work
More
Mul&-‐disciplinary:
AI
(Planning,
KRR,
ML,
…),
Database,
Mathema&cs
…
More
Science
Integra&on
44. LD4SC-‐15
References
(1)
• Freddy
Lecue,
Jeff
Z.Pan.
Consistent
Knowledge
Discovery
from
Evolving
Ontologies.
AAAI
2015.
Aus&n,
Texas,
USA,
January,
2015.
• Anika
Schumann,
Freddy
Lecue.
Minimizing
User
Involvement
for
Accurate
Ontology
Matching
Problems.
AAAI
2015.
Aus&n,
Texas,
USA,
January,
2015.
• Freddy
Lecue,
Simone
Tallevi-‐Diotallevi,
Jer
Hayes,
Robert
Tucker,
Veli
Bicer,
Marco
Sbodio,
Pierpaolo
Tommasi.
Smart
traffic
analy&cs
in
the
seman&c
web
with
STAR-‐CITY:
Scenarios,
system
and
lessons
learned
in
Dublin
City.
In
Jour-‐
nal
of
Web
Seman&cs.
Web
Seman&cs:
Science,
Services
and
Agents
on
the
World
Wide
Web
(JWS).
Vol
XX
(2014).
• Spyros
Kotoulas,
Vanessa
Lopez,
Raymond
Lloyd,
Marco
Luca
Sbodio,
Freddy
Lecue,
MarHn
Stephenson,
Elizabeth
M.
Daly,
Veli
Bicer,
Aris
Gkoulalas-‐Divanis,
Giusy
Di
Lorenzo,
Anika
Schumann,
Pol
Mac
Aonghusa.
SPUD
-‐
Seman&c
Pro-‐
cessing
of
Urban
Data.
In
Journal
of
Web
Seman&cs.
Web
Seman&cs:
Science,
Services
and
Agents
on
the
World
Wide
Web
(JWS),
Vol
24
(2014).
• Freddy
Lecue,
Robert
Tucker,
Simone
Tallevi-‐Diotallevi,
Rahul
Nair,
Yiannis
Gkoufas,
Giuseppe
Liguori,
Mauro
Borioni,
Alexandre
Rademaker
and
Luciano
Barbosa.
Seman&c
Traffic
Diagnosis
with
STAR-‐CITY:
Architecture
and
Lessons
Learned
from
Deployment
in
Dublin,
Bologna,
Miami
and
Rio,
ISWC
2014,
Riva,
Italy,
October
2014
(Best
In
Use
Paper
Award)
• Joern
Ploennigs,
Anika
Schumann,
Freddy
Lecue.
AdapHng
SemanHc
Sensor
Networks
for
Smart
Building
Diagnosis.
In
Proceedings
of
the
13th
Interna&onal
Seman&c
Web
Conference
(ISWC
2014),
pages
308-‐323,
October
19-‐23,
2014,
Riva
del
Garda,
Italy.
Springer
2014
ISBN
978-‐3-‐319-‐11914-‐4.
(Best
In
Use
Paper
Award
Nominee)
• Jiewen
Wu,
Freddy
Lecue.
Towards
Consistency
Checking
over
Evolving
Ontologies.
Proceedings
of
the
23rd
ACM
Conference
on
Informa&on
and
Knowledge
Management,
CIKM
2014,
Shanghai,
China,
November
3-‐7,
2014.
• Anika
Schumann,
Freddy
Lecue,
Joern
Ploennigs.
Exploi&ng
the
Seman&c
Web
for
Systems
Diagnosis.
In
Proceedings
of
the
Twenty-‐First
European
Conference
on
Ar&
cial
Intelligence
(ECAI
2014),
pages
??-‐??,
August
18-‐22,
2014,
Prague,
Czech
Republic.
IOS
Press
2014.
45. LD4SC-‐15
References
(2)
• Joern
Ploennigs,
Anika
Schumann,
Freddy
Lecue.
Extending
Seman&c
Sensor
Networks
for
Automa&cally
Tackling
Smart
Building
Problems.
In
Proceedings
of
the
Twenty-‐First
European
Conference
on
Ar&
cial
Intelligence
(ECAI
2014),
pages
??-‐??,
August
18-‐22,
2014,
Prague,
Czech
Republic.
IOS
Press
2014.
• Freddy
Lécué:
Towards
Scalable
Explora&on
of
Diagnoses
in
an
Ontology
Stream.
AAAI
2014:
87-‐93
• Freddy
Lécué,
Robert
Tucker,
Veli
Bicer,
Pierpaolo
Tommasi,
Simone
Tallevi-‐Diotallevi,
Marco
Luca
Sbodio:
Predic&ng
Severity
of
Road
Traffic
Conges&on
Using
Seman&c
Web
Technologies.
ESWC
2014:
611-‐627
(Best
In
Use
Paper
Award)
• Freddy
Lécué,
Simone
Tallevi-‐Diotallevi,
Jer
Hayes,
Robert
Tucker,
Veli
Bicer,
Marco
Luca
Sbodio,
Pierpaolo
Tommasi:
STAR-‐CITY:
seman&c
traffic
analy&cs
and
reasoning
for
CITY.
IUI
2014:
179-‐188
• Simone
Tallevi-‐Diotallevi,
Spyros
Kotoulas,
Luca
Foschini,
Freddy
Lecue,
Antonio
Corradi.
Real-‐Time
Urban
Monitoring
in
Dublin
Using
Seman&c
and
Stream
Technologies.
In
Proceedings
of
the
12th
Interna&onal
Seman&c
Web
Confer-‐
ence
(ISWC
2013),
pages
178-‐194,
October
21-‐25,
2013,
Sydney,
NSW,
Australia.
Springer
2013
Lecture
Notes
in
Computer
Science
ISBN
978-‐3-‐642-‐41337-‐7.
• Freddy
Lecue,
Jeff
Z,
Pan.
Predic&ng
Knowledge
in
an
Ontology
Stream.
In
Proceedings
of
the
Interna&onal
Joint
Conference
on
Ar&ficial
Intelligence
(IJCAI
2013)
• Elizabeth
M.
Daly,
Freddy
Lecue,
Veli
Bicer.
Westland
Row
Why
So
Slow?
Fusing
Social
Media
and
Linked
Data
Sources
for
Understanding
Real-‐Time
Traffic
Condi&ons.
In
Proceedings
of
the
ACM
2013
Interna&onal
Conference
on
Intelligent
User
Interfaces
(IUI
2013)
• Freddy
Lecue,
Anika
Schumann,
Marco
Luca
Sbodio.
Applying
Seman&c
Web
Technologies
for
Diagnosing
Road
Traffic
Conges&ons.
In
Proceedings
of
the
11th
Interna&onal
Seman&c
Web
Conference
(ISWC
2012),
Springer
(Best
In
Use
Paper
Award
Nominee)
• Freddy
Lecue:
Diagnosing
Changes
in
An
Ontology
Stream:
A
DL
Reasoning
Approach.
In
Proceedings
of
the
Twenty-‐Sixth
AAAI
Conference
on
Ar&ficial
Intelligence
(AAAI
2012),
July
22-‐26,
2012,
Toronto,
Ontario,
Canada.
AAAI
Press
2012.
46. LD4SC-‐15
Ques&ons
Thank you!
Credits:
Pol
Mac
Aonghusa,
Luciano
Barbosa,
Veli
Bicer,
Antonio
Corradi,
Elizabeth
Daly,
Luca
Foschini,
Yiannis
Gkoufas,
Jer
Hayes,
Pascal
Hitzler,
Vanessa
Lopez,
,
Raghava
Mutharaju,
Rahul
Nair,
Jeff
Z.
Pan,
Joern
Ploennigs,
Alexandre
Rademaker,
Marco
Luca
Sbodio,
Anika
Schumann,
Mar&n
Stephenson,
Simone
Tallevi-‐Diotallevi,
Pierpaolo
Tommasi,
Robert
Tucker,
Yuan
Ren,
Jiewen
Wu