Stephanie Hayden

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Stephanie Hayden
Name Stephanie Hayden
Company Metropolitan Intelligence
Company Position CEO and Founders
City, State Oakland CA
Country United States
Sectors Wellbeing
Consulting: {{{skill}}}


OaklandHousing.jpg Augmented Neighborhood Watch
# Engage with Constituents currently part of the City of Oakland NCPCs to keep an eye and report crime to their local police Beat Officers. Present IoT Kits to the NCPCs to invest in micro-grid infrastructure kits that include mesh networks, computer vision cameras, sensors, and secure communication channels to capture live data about events happening to community homes, block by block. Install series of “Capture” hardware devices and send this data to a secure data platform per kit owner.
  1. Connect this data to a Machine Learning / AI platform to learn about this data, scan for license plates, and identifiable characteristics and connect these data with co-designed If This Then That event programs to understand what the cameras are seeing and appropriate notify community members and law enforcement officials who have the ability to act on and apprehend individuals committing crimes. This live data will be streamed and hosted in secure cloud services, locked down to each micro-grid kit owner, to determine who will have access to this data in the form of sharing, selling, buying.
  2. If/when the constituent chooses to share or sell this data to City of Oakland public sector agencies like Oakland Police, Fire, Transportation, CA Highway Patrol they can provide live connections and streaming video to these agency devices in order to help Public agencies locate and apprehend people who commit illegal activities in and around homes and community gathering spaces.
LeadOakland.jpg Constituent-led Public Data and IoT Utility for Urban Health Housing and Environmental Hazard Management
  • Build upon a Smart City blueprint, playbook, and coalition of Oakland communities to convene, share, and learn what’s possible with data, IoT, and Smart Cities then use that knowledge to co-create projects and programs germane to each constituency, micro-community, and individual sets of needs
  • Leverage the coalitions to hunt and gather data for addition to a shared Public Data & IoT Utility to be operated and run as a shared data service for micro-communities to build political will, businesses to grow, and collective voice to be used to address micro- or meta-level risks and opportunities
  • Leverage people, processes, and technology to collectively address issues of unsafe Bay Area Housing Environments to co-create inclusive solutions and investment opportunities to resolve the housing crisis and improve health region-wide
  • Focus on short and long-term positive outcomes associated with sustainable Smart City solutions, and maintain a cadence of speed and success delivering projects to address current issues for constituents, businesses, and government agencies generated by past programs, policies, and investments like failing infrastructure, legacy lead poisoning, and institutionalized racism
Smart City Vision Strategic Planning and Digital Transformation Methodology.png Smart City Vision Strategic Planning and Digital Transformation Methodology
* The Smart City methodology helps people imagine and learn about future state scenarios for their lives, businesses, and cities. The process produces clearly defined product solutions and projects they want to create, design, and implement.
  • The methodology can be used to introduce people who have little to no knowledge about Smart Cities and facilitate learning experiences that create and build well-versed leaders who can drive, manage, and support Smart City initiatives. Digital Transformation aspects will include key performance indicators and checkpoints to ensure teams remain on course until goals and future vision are realized.
  • We are submitting this methodology for consideration and use with the Education SuperCluster and Action Teams to help define what each group would like to create for the SuperCluster and how they want to interface with the existing SuperClusters to integrate and amplify existing knowledge within the GCTC.