Data - Revision history

Pinfold at 22:45, January 19, 2023

2023-01-19T22:45:16Z

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	=Activities=		=Activities=
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	{{#ask:		{{#ask:
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Pinfold at 22:44, January 19, 2023

2023-01-19T22:44:29Z

← Older revision		Revision as of 22:44, January 19, 2023
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	*'''Better public services''': Cities are using data to better understand the needs of citizens and deliver more effective public services. For example, cities are using data from social media and other sources to identify areas where residents are experiencing problems such as homelessness, and then direct resources to those areas.		*'''Better public services''': Cities are using data to better understand the needs of citizens and deliver more effective public services. For example, cities are using data from social media and other sources to identify areas where residents are experiencing problems such as homelessness, and then direct resources to those areas.
	*'''Improved sustainability''': Cities are using data to reduce their environmental impact and promote sustainability. For example, cities are using data from sensors and smart meters to optimize energy consumption, and monitor air and water quality.		*'''Improved sustainability''': Cities are using data to reduce their environmental impact and promote sustainability. For example, cities are using data from sensors and smart meters to optimize energy consumption, and monitor air and water quality.

			=Activities=
			<includeonly>
			{{#ask:
			[[Category:Activity]]
			[[Category:{{PAGENAME}}]]
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			\|?Has image#=2
			\|?Has description#=3
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			\|introtemplate=Show image Header
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Pinfold at 22:10, January 19, 2023

2023-01-19T22:10:39Z

← Older revision		Revision as of 22:10, January 19, 2023
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	{{~~Chapter~~		{{Book
	\|image=DataChapter.jpg		\|image=DataChapter.jpg
	\|poc=Scott Tousley		\|poc=Scott Tousley

Pinfold at 22:04, January 19, 2023

2023-01-19T22:04:18Z

← Older revision		Revision as of 22:04, January 19, 2023
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	{{Chapter		{{Chapter
	\| ~~blueprint~~ = ~~Data~~		\|image=DataChapter.jpg
	\| ~~sectors~~ = ~~Data~~		\|poc=Scott Tousley
	\| authors = Scott Tousley, Jason Whittet, Wilfred Pinfold		\|authors=Scott Tousley, Jason Whittet, Wilfred Pinfold
	\| ~~poc~~ = ~~Scott Tousley~~		\|blueprint=Data
	\| email = tousleys@gmail.com		\|sectors=Data
	\| document = 20170824-City-Platform-Supercluster-Report-FINAL.pdf		\|summary=Municipalities are using data and analytics to inform decision-making in a wide range of areas, from transportation planning to emergency management.
	\| chapter = 300		\|email=tousleys@gmail.com
	~~\| image = DataChapter.jpg~~		\|document=20170824-City-Platform-Supercluster-Report-FINAL.pdf
	\| summary = In 2016, the United Nations reported that an estimated 54.5% of the world’s population lived in urban settlements. By 2030, urban areas are projected to swell to 60% and one in every three people will live in a city. With more than three million people moving into urban areas each week, cities are faced with an unprecedented challenge.		\|chapter=300
	}}		}}
	How do you deliver essential services to your citizens in the face of already stressed aging infrastructure, shrinking budgets and a myriad of challenges that create complexity never envisioned by any civil engineer prior to the 21st century based on this mass influx of people? The pace of change is daunting and cities who do not act to address this seismic migration surge will likely face dire consequences.		How do you deliver essential services to your citizens in the face of already stressed aging infrastructure, shrinking budgets and a myriad of challenges that create complexity never envisioned by any civil engineer prior to the 21st century based on this mass influx of people? The pace of change is daunting and cities who do not act to address this seismic migration surge will likely face dire consequences.
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	How do cities deal with the enormous amounts of data that smart cities produce? Once collected, how do city officials interface with this data to extract the right information to make effective operational and strategic decisions? How are these decisions made in a time efficient manner without sacrificing insight, relevance or the ability to synthesize multiple disparate data sources to make a single yet complex decision based on multiple real-time inputs?		How do cities deal with the enormous amounts of data that smart cities produce? Once collected, how do city officials interface with this data to extract the right information to make effective operational and strategic decisions? How are these decisions made in a time efficient manner without sacrificing insight, relevance or the ability to synthesize multiple disparate data sources to make a single yet complex decision based on multiple real-time inputs?

	~~The National Institute of Standards~~ and ~~Technology (NIST),~~ in ~~support~~ of the smart city space, created the Global City Teams Challenge (GCTC) to help cities create a more unified multi-city, multi-stakeholder conversation to deal with the complex issues associated with operating a city with the daunting urbanization challenges. The role that smart city technology can play across diverse sectors (transportation, energy, manufacturing, healthcare, etc.) can enable cities to improve ~~services~~, ~~promote economic growth and enhance the quality of life for citizens around the world. GCTC was designed to encourage collaboration among cities and help in the development of standards.~~		Data, analytics, and AI are being used in a variety of ways to improve municipalities, including:

	~~“GCTC’s long-term goal is "~~to ~~establish and demonstrate replicable~~, ~~scalable~~, and ~~sustainable models for incubation~~ and ~~deployment of interoperable~~, ~~standard-based solutions~~ using ~~advanced technologies~~ such as ~~IoT~~ and ~~CPS~~, and ~~demonstrate their measurable benefits in communities~~ and ~~cities~~.~~" “The GCTC program is a collaborative platform~~ for the ~~development of smart cities~~ and ~~communities~~. ~~It enables local governments, nonprofit organizations, academic institutions, technologists,~~ and ~~private corporations from all over the world~~ to ~~form project teams, or “action clusters,”~~ and ~~“SuperClusters~~,” to ~~work on groundbreaking Internet of Things (IoT) applications within~~ the ~~smart city and community~~ environment.”		*'''Smart city management''': municipalities are using data and analytics to optimize city operations, improve traffic flow, and reduce energy consumption. For example, using data from traffic cameras and sensors, municipalities can analyze traffic patterns and adjust traffic signal timings to reduce congestion.
			*'''Predictive maintenance''': municipalities are using data and analytics to predict when equipment such as streetlights and water pumps will need maintenance, so they can schedule repairs before they fail.
	~~“NIST~~, ~~along with its partners, acts~~ as ~~a “matchmaker”—facilitating, advising, encouraging, nurturing~~, and ~~publicizing the action clusters~~ and ~~their projects. Since the program launched in September 2014, GCTC has recruited~~ and ~~incubated over 160 action clusters with participation from over 150 cities~~ and ~~400 companies/organizations from around the world~~.”		*'''Crime prediction''': municipalities are using data and analytics to predict where and when crimes are likely to occur, so they can deploy police resources more effectively.
			*'''Infrastructure planning''': municipalities are using data and analytics to plan for the future, for example by analyzing population growth and land use patterns to determine where new roads and buildings should be built.
	~~=Global City Teams Challenge Supercluster Workshop on City Platform=~~		*'''Environmental monitoring''': municipalities are using data and analytics to monitor air and water quality, so they can take action to improve the environment.
	~~On February 7~~-8, ~~2017~~, ~~The City of Kansas City~~, ~~Missouri, KC Digital Drive~~ and ~~Think Big Partners held the “NIST / KCMO Supercluster Platform Workshop” that attracted over 120 participants from around~~ the ~~world~~. ~~During this two day event, participants came with a list of problems and questions associated with smart city~~ data and ~~the city platform that was needed~~ to ~~manage it~~. ~~Additionally~~, ~~inter~~ and ~~intra-departmental data management issues were also discussed~~ to ~~develop cross-sector understanding~~ of ~~the data platform required~~ to ~~make inter-departmental decisions in a near real-time, macro-city management basis~~.		*'''Public service delivery''': municipalities are using data and analytics to better understand the needs of their citizens and deliver more effective public services, such as healthcare, education and social services.
	~~The following report was compiled with these objectives in mind~~:		*'''AI-powered chatbots and virtual assistants''': municipalities are using AI-powered chatbots and virtual assistants to improve customer service and help citizens access information and services more easily.
	~~#Archive~~ the ~~discussions held by participants during the event;~~		*'''Predictive modeling''': municipalities are using AI-powered Predictive Modeling to predict future events, such as natural disasters and civil disturbances, so that they can respond more quickly and effectively.
	~~#Capture the various data elements that were identified~~ as ~~valuable in the~~ management, ~~operations~~ and ~~strategic planning for city officials in~~ the ~~realm~~ of ~~smart city~~ data ~~relative~~ to ~~their major~~ problems;		*'''Better citizen engagement''': Cities are using data to improve citizen engagement and transparency. For example, cities are using open data portals to make data about city services and operations more accessible to the public.
	~~#Assess some of the city platform functional requirements as identified by the participants based on proposed basic strategies~~ to ~~solve~~ their ~~problems;~~		*'''Better crisis management''': Cities are using data to respond more quickly and effectively to crises such as natural disasters and civil disturbances. For example, cities are using data from social media and other sources to track the spread of misinformation and disinformation, and then take action to counter it.
	~~#Help define how~~ cities ~~will assess~~ data;		*'''Increased efficiency''': Cities are using data to improve the efficiency of city services such as waste management, energy management and public safety.
	~~#Present ideas on how cities will fund, construct~~ and ~~sustain~~ smart ~~city systems over time;~~		*'''Better public services''': Cities are using data to better understand the needs of citizens and deliver more effective public services. For example, cities are using data from social media and other sources to identify areas where residents are experiencing problems such as homelessness, and then direct resources to those areas.
	~~#Enhance some of the insights gained during the event with supplemental primary~~ and ~~secondary research;~~ and		*'''Improved sustainability''': Cities are using data to reduce their environmental impact and promote sustainability. For example, cities are using data from sensors and smart meters to optimize energy consumption, and monitor air and water quality.
	~~#Provide additional insights for city data platform and beyond~~

Pinfold at 21:52, January 19, 2023

2023-01-19T21:52:52Z

← Older revision		Revision as of 21:52, January 19, 2023
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	{{~~Sector~~		{{Chapter
	\| ~~image~~ = ~~data200~~.~~png~~		\| blueprint = Data
	\| ~~blueprint~~ = 20170824-City-Platform-Supercluster-Report-FINAL.pdf		\| sectors = Data
	\| ~~leader = Scott Tousley, Jason Whittet~~		\| authors = Scott Tousley, Jason Whittet, Wilfred Pinfold
	~~\| size~~ = ~~200~~		\| poc = Scott Tousley
	\| ~~description~~ =		\| email = tousleys@gmail.com
	~~This set of {{#ask: [[Category:Activity]] [[Category:{{PAGENAME}}]]~~ \|~~format~~=count}} projects is managed by the data team and aims to address friction stakeholders experience in the deployment of or operations of IoT CyberPhysical systems. These include business case, privacy guidance, licensing frameworks, and citizen outreach. Additionally, the ~~Data Supercluster is driven by~~ an ~~overarching intent to encourage grassroots, corporate and scholarly proofs~~ of ~~business value and economic sustainability~~ in ~~Smart and Secure Communities and Cities~~. ~~The Data Supercluster continues to engage with industry leaders~~, ~~Universities and Colleges, community leaders and solution providers~~ to ~~synthesize a value proposition and means~~ to ~~prove its economic~~ and ~~stakeholder value~~.		\| document = 20170824-City-Platform-Supercluster-Report-FINAL.pdf
	~~\| body =~~		\| chapter = 300
	~~We're soliciting stakeholder engagement by sharing our research and relevant articles tagged by our team to help those~~ with an ~~Action Cluster proof in progress~~. ~~Those who care~~ to ~~share their experiences~~ in a ~~Podcast format can contact Alex at aspen dot ai~~ to ~~participate in~~ the ~~Podcast series~~.		\| image = DataChapter.jpg
			\| summary = In 2016, the United Nations reported that an estimated 54.5% of the world’s population lived in urban settlements. By 2030, urban areas are projected to swell to 60% and one in every three people will live in a city. With more than three million people moving into urban areas each week, cities are faced with an unprecedented challenge.
			}}
			How do you deliver essential services to your citizens in the face of already stressed aging infrastructure, shrinking budgets and a myriad of challenges that create complexity never envisioned by any civil engineer prior to the 21st century based on this mass influx of people? The pace of change is daunting and cities who do not act to address this seismic migration surge will likely face dire consequences.

	The ~~DSC recognizes~~ that ~~regulation~~ can ~~impede~~ and ~~create friction~~ in ~~business and solutions~~. ~~The DSC reflects~~ the ~~concept that a compass and map is more powerful~~ to ~~innovation and deployment more that step-~~by~~-step narrowly defined and approved approaches~~. ~~We continue~~ to ~~see~~ an ~~acceleration in the technology used for visual processing~~, ~~vibration analysis~~ and ~~determine the signal~~ that ~~is often hidden~~ in ~~the noise of end point data collectors~~.		The smart city concept, based on internet of things (IoT) technologies wirelessly connecting infrastructure using sensors, beacons and other devices that produces substantial amounts of data, was developed to help cities gain better manage their assets. The concept of building a “smart city” can be traced back to various movements and research papers published in the late 20th century. One of the most notable early research pieces from the Los Angeles Community Analysis Bureau, “The State of the City: A Cluster Analysis of Los Angeles (1974)”, “sought new tools to address the old challenges of deteriorating housing by providing detailed local data to identify neighborhoods showing early signs of obsolescence.” Data was identified as one of the keys to gaining a better understanding to an urbanization problem, and that axiom holds true more than ever in 2017.

	~~A major trend~~ that ~~is shaping Data value~~, is the ~~nature~~ of ~~interconnected Data sources~~, ~~transfer points~~, and ~~Cloud computing. The computing now taking place at the Edge of the network~~ is ~~crucial~~ to ~~security and privacy. By distributing~~ the ~~processing costs to powerful edge devices, costs decline and performance of the network is more predictable~~.		Modern daily life and the problems associated with it, defined by data, allows deeper insight and decision-making capabilities that both city officials need, and the innovation community requires, to create better solutions to deal with the urban challenges of densification. Quality data is essential, however, making the data accessible and understandable is critical to making the data ultimately valuable.

			How do cities deal with the enormous amounts of data that smart cities produce? Once collected, how do city officials interface with this data to extract the right information to make effective operational and strategic decisions? How are these decisions made in a time efficient manner without sacrificing insight, relevance or the ability to synthesize multiple disparate data sources to make a single yet complex decision based on multiple real-time inputs?

	~~High value Data is available via over 2600 sites globally.~~ The ~~DSC vets~~ and ~~distributes lists~~ of ~~directories available for innovators~~ to ~~use in their Action Cluster planning and proof projects~~. The ~~Data SuperCluster recognizes~~ that ~~Machine Learning~~ and ~~AI applications require high-value datasets, often provided by Cities / Communities as well as Citizens~~. ~~Flexible open licensing~~ encourage ~~sharing~~ and ~~can~~ help ~~establish a life-cycle~~ of ~~value where derivative works carry a licensing framework that assures access rights to others building on the original data, inference engines, machine templates, and AI applications~~.		The National Institute of Standards and Technology (NIST), in support of the smart city space, created the Global City Teams Challenge (GCTC) to help cities create a more unified multi-city, multi-stakeholder conversation to deal with the complex issues associated with operating a city with the daunting urbanization challenges. The role that smart city technology can play across diverse sectors (transportation, energy, manufacturing, healthcare, etc.) can enable cities to improve services, promote economic growth and enhance the quality of life for citizens around the world. GCTC was designed to encourage collaboration among cities and help in the development of standards.

	~~The DSC recognizes that community leaders by virtual~~ of ~~identifying~~ the ~~metrology around Smart Cities drive~~ the ~~evolution that supports that metrology~~.		“GCTC’s long-term goal is "to establish and demonstrate replicable, scalable, and sustainable models for incubation and deployment of interoperable, standard-based solutions using advanced technologies such as IoT and CPS, and demonstrate their measurable benefits in communities and cities." “The GCTC program is a collaborative platform for the development of smart cities and communities. It enables local governments, nonprofit organizations, academic institutions, technologists, and private corporations from all over the world to form project teams, or “action clusters,” and “SuperClusters,” to work on groundbreaking Internet of Things (IoT) applications within the smart city and community environment.”

	~~By agreeing on what we measure~~, ~~all cities can then apply the data in~~ a ~~manner that allows each of us to address our unique challenges regardless of~~ the ~~size, governance or location of our municipality~~. ~~DSC encourages open data exchanges~~, ~~that build paths between various value add functions in~~ the ~~emerging IoT and Internet interfaces~~.		“NIST, along with its partners, acts as a “matchmaker”—facilitating, advising, encouraging, nurturing, and publicizing the action clusters and their projects. Since the program launched in September 2014, GCTC has recruited and incubated over 160 action clusters with participation from over 150 cities and 400 companies/organizations from around the world.”

	~~In 2018~~, the ~~SuperCluster merged~~ with ~~Data governance~~ and ~~exchange SuperCluster~~ to ~~create Data SuperCluster~~. ~~Data governance~~ and ~~exchange is one~~ of the ~~primary challenges~~ to ~~the deployment of smart cities technologies today~~. The ~~data governance challenge has two main components. Many cities have successfully implemented data management and open data solutions for public data.~~		=Global City Teams Challenge Supercluster Workshop on City Platform=
			On February 7-8, 2017, The City of Kansas City, Missouri, KC Digital Drive and Think Big Partners held the “NIST / KCMO Supercluster Platform Workshop” that attracted over 120 participants from around the world. During this two day event, participants came with a list of problems and questions associated with smart city data and the city platform that was needed to manage it. Additionally, inter and intra-departmental data management issues were also discussed to develop cross-sector understanding of the data platform required to make inter-departmental decisions in a near real-time, macro-city management basis.
	~~There is not yet developed a comprehensive strategy for handling all of~~ the data ~~from thousands of IoT sensors available now and envisioned for the future. Cities are interested~~ in ~~IoT technology as a way to improve operations and~~ the ~~delivery of services. What is a standard~~, ~~but flexible and customizable framework that will allow cities to use~~ and ~~exchange IoT data~~ for ~~public value while protecting public privacy and trust? GCTC’s Data governance and exchange SuperCluster aims to address~~ the ~~challenge~~ of ~~building a governance and exchange model for IoT~~ data ~~and a plan for governments~~ to ~~successfully customize and deploy it. The group will work to collect best practices and produce blueprints for data exchange and governance,~~ as ~~well as deployed proofs~~ to ~~share with other teams and stakeholders.~~		The following report was compiled with these objectives in mind:
	~~\| chair =~~		#Archive the discussions held by participants during the event;
	~~<div><ul>~~		#Capture the various data elements that were identified as valuable in the management, operations and strategic planning for city officials in the realm of smart city data relative to their major problems;
	~~<li style="display: inline-block;"> [[File:scott tousley.jpg\|thumb\|none\|200px\|Scott Tousley~~, ~~<br />Chief Development Officer <br />Inca Digital<br /> _]] </li>~~		#Assess some of the city platform functional requirements as identified by the participants based on proposed basic strategies to solve their problems;
	~~<li style="display: inline-block~~;~~"> [[File:Jason Whittet.jpg\|thumb\|none\|200px\|Jason Whittet, <br />Associate Director, <br /> Solutions Development, <br />100 Resilient Cities]] </li>~~		#Help define how cities will assess data;
	~~</ul></div>~~		#Present ideas on how cities will fund, construct and sustain smart city systems over time;
	~~\| team =~~		#Enhance some of the insights gained during the event with supplemental primary and secondary research; and
	~~<!--[http://kcmo.gov/ Kansas City MO], [https://www.bellevuewa.gov/ City~~ of Bellevue WA], [https://www.100resilientcities.org/ 100 Resilient Cities/Rockefeller Foundation], [http://www.aspenworks.com/ Aspenworks Ltd.], [http://www.kcdigitaldrive.org/ KC Digital Drive], [http://thinkbigpartners.com/ ThinkBig Partners], [https://www.cit.org/ Center for Innovative Technology], [http://cityinnovate.org/ City Innovate Foundation], [http://www.skayl.com/ Skayl], [https://www.cisco.com/ Cisco], [https://www.xaqt.com/ XAQT], [https://www.ucdavis.edu/ University of California-Davis]-->		#Provide additional insights for city data platform and beyond
	~~Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks, KC Digital Drive, ThinkBig Partners, Center~~ for ~~Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis~~
	}}

Pinfold at 05:24, January 11, 2022

2022-01-11T05:24:43Z

← Older revision		Revision as of 05:24, January 11, 2022
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	\| image = data200.png		\| image = data200.png
	\| blueprint = 20170824-City-Platform-Supercluster-Report-FINAL.pdf		\| blueprint = 20170824-City-Platform-Supercluster-Report-FINAL.pdf
			\| leader = Scott Tousley, Jason Whittet
			\| size = 200
	\| description =		\| description =
	This set of {{#ask: [[Category:Activity]] [[Category:{{PAGENAME}}]] \|format=count}} projects is managed by the data team and aims to address friction stakeholders experience in the deployment of or operations of IoT CyberPhysical systems. These include business case, privacy guidance, licensing frameworks, and citizen outreach. Additionally, the Data Supercluster is driven by an overarching intent to encourage grassroots, corporate and scholarly proofs of business value and economic sustainability in Smart and Secure Communities and Cities. The Data Supercluster continues to engage with industry leaders, Universities and Colleges, community leaders and solution providers to synthesize a value proposition and means to prove its economic and stakeholder value.		This set of {{#ask: [[Category:Activity]] [[Category:{{PAGENAME}}]] \|format=count}} projects is managed by the data team and aims to address friction stakeholders experience in the deployment of or operations of IoT CyberPhysical systems. These include business case, privacy guidance, licensing frameworks, and citizen outreach. Additionally, the Data Supercluster is driven by an overarching intent to encourage grassroots, corporate and scholarly proofs of business value and economic sustainability in Smart and Secure Communities and Cities. The Data Supercluster continues to engage with industry leaders, Universities and Colleges, community leaders and solution providers to synthesize a value proposition and means to prove its economic and stakeholder value.

Pinfold at 21:29, January 1, 2022

2022-01-01T21:29:09Z

← Older revision		Revision as of 21:29, January 1, 2022
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	</ul></div>		</ul></div>
	\| team =		\| team =
	<!--[http://kcmo.gov/ Kansas City MO], [https://www.bellevuewa.gov/ City of Bellevue WA], [https://www.100resilientcities.org/ 100 Resilient Cities/Rockefeller Foundation], [http://www.aspenworks.com/ Aspenworks], [http://www.kcdigitaldrive.org/ KC Digital Drive], [http://thinkbigpartners.com/ ThinkBig Partners], [https://www.cit.org/ Center for Innovative Technology], [http://cityinnovate.org/ City Innovate Foundation], [http://www.skayl.com/ Skayl], [https://www.cisco.com/ Cisco], [https://www.xaqt.com/ XAQT], [https://www.ucdavis.edu/ University of California-Davis]-->		<!--[http://kcmo.gov/ Kansas City MO], [https://www.bellevuewa.gov/ City of Bellevue WA], [https://www.100resilientcities.org/ 100 Resilient Cities/Rockefeller Foundation], [http://www.aspenworks.com/ Aspenworks Ltd.], [http://www.kcdigitaldrive.org/ KC Digital Drive], [http://thinkbigpartners.com/ ThinkBig Partners], [https://www.cit.org/ Center for Innovative Technology], [http://cityinnovate.org/ City Innovate Foundation], [http://www.skayl.com/ Skayl], [https://www.cisco.com/ Cisco], [https://www.xaqt.com/ XAQT], [https://www.ucdavis.edu/ University of California-Davis]-->
	Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks~~, Ltd~~, KC Digital Drive, ThinkBig Partners, Center for Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis		Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks, KC Digital Drive, ThinkBig Partners, Center for Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis
	}}		}}

Pinfold at 21:28, January 1, 2022

2022-01-01T21:28:12Z

← Older revision		Revision as of 21:28, January 1, 2022
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	</ul></div>		</ul></div>
	\| team =		\| team =
	<!--[http://kcmo.gov/ Kansas City MO], [https://www.bellevuewa.gov/ City of Bellevue WA], [https://www.100resilientcities.org/ 100 Resilient Cities/Rockefeller Foundation], [http://www.aspenworks.com/ Aspenworks~~, Ltd~~], [http://www.kcdigitaldrive.org/ KC Digital Drive], [http://thinkbigpartners.com/ ThinkBig Partners], [https://www.cit.org/ Center for Innovative Technology], [http://cityinnovate.org/ City Innovate Foundation], [http://www.skayl.com/ Skayl], [https://www.cisco.com/ Cisco], [https://www.xaqt.com/ XAQT], [https://www.ucdavis.edu/ University of California-Davis]-->		<!--[http://kcmo.gov/ Kansas City MO], [https://www.bellevuewa.gov/ City of Bellevue WA], [https://www.100resilientcities.org/ 100 Resilient Cities/Rockefeller Foundation], [http://www.aspenworks.com/ Aspenworks], [http://www.kcdigitaldrive.org/ KC Digital Drive], [http://thinkbigpartners.com/ ThinkBig Partners], [https://www.cit.org/ Center for Innovative Technology], [http://cityinnovate.org/ City Innovate Foundation], [http://www.skayl.com/ Skayl], [https://www.cisco.com/ Cisco], [https://www.xaqt.com/ XAQT], [https://www.ucdavis.edu/ University of California-Davis]-->
	Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks, Ltd, KC Digital Drive, ThinkBig Partners, Center for Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis		Kansas City MO, City of Bellevue WA, 100 Resilient Cities/Rockefeller Foundation, Aspenworks, Ltd, KC Digital Drive, ThinkBig Partners, Center for Innovative Technology, City Innovate Foundation, Skayl, Cisco, XAQT, University of California-Davis
	}}		}}

Pinfold at 04:17, December 21, 2021

2021-12-21T04:17:31Z

← Older revision		Revision as of 04:17, December 21, 2021
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	\| blueprint = 20170824-City-Platform-Supercluster-Report-FINAL.pdf		\| blueprint = 20170824-City-Platform-Supercluster-Report-FINAL.pdf
	\| description =		\| description =
	This set of {{#ask: [[Category:~~Project~~]] [[Category:{{PAGENAME}}]] \|format=count}} projects is managed by the data team and aims to address friction stakeholders experience in the deployment of or operations of IoT CyberPhysical systems. These include business case, privacy guidance, licensing frameworks, and citizen outreach. Additionally, the Data Supercluster is driven by an overarching intent to encourage grassroots, corporate and scholarly proofs of business value and economic sustainability in Smart and Secure Communities and Cities. The Data Supercluster continues to engage with industry leaders, Universities and Colleges, community leaders and solution providers to synthesize a value proposition and means to prove its economic and stakeholder value.		This set of {{#ask: [[Category:Activity]] [[Category:{{PAGENAME}}]] \|format=count}} projects is managed by the data team and aims to address friction stakeholders experience in the deployment of or operations of IoT CyberPhysical systems. These include business case, privacy guidance, licensing frameworks, and citizen outreach. Additionally, the Data Supercluster is driven by an overarching intent to encourage grassroots, corporate and scholarly proofs of business value and economic sustainability in Smart and Secure Communities and Cities. The Data Supercluster continues to engage with industry leaders, Universities and Colleges, community leaders and solution providers to synthesize a value proposition and means to prove its economic and stakeholder value.
	\| body =		\| body =
	We're soliciting stakeholder engagement by sharing our research and relevant articles tagged by our team to help those with an Action Cluster proof in progress. Those who care to share their experiences in a Podcast format can contact Alex at aspen dot ai to participate in the Podcast series.		We're soliciting stakeholder engagement by sharing our research and relevant articles tagged by our team to help those with an Action Cluster proof in progress. Those who care to share their experiences in a Podcast format can contact Alex at aspen dot ai to participate in the Podcast series.

Pinfold at 07:16, December 6, 2021

2021-12-06T07:16:31Z

← Older revision		Revision as of 07:16, December 6, 2021
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	{{Sector		{{Sector
	~~\| title = Data~~
	\| image = data200.png		\| image = data200.png
	~~\| imagecaption = Data~~
	\| blueprint = 20170824-City-Platform-Supercluster-Report-FINAL.pdf		\| blueprint = 20170824-City-Platform-Supercluster-Report-FINAL.pdf
	\| description =		\| description =