Oakland CA

From OpenCommons
Jump to navigation Jump to search


Oakland CA
OaklandSkyline.jpg
Oakland skyline
Seal of Oakland, California.png
Seal
Loading map...
Oakland CA Map
Type of Municipality City
Date Established May 4, 1852
Area 78.0378.03 sqmi <br />78.03 sq_mi <br />78.03 sq.mi <br />202.097 sq.km <br />49,939.2 Acres <br />
Elevation 4343 ft <br />13.106 m <br />
Population 440646440,646 people <br />
Timezone PST
Members

Jennifer Pahlka.jpegRyder Pearce.jpegSeth Hubbert.jpgStephanieHayden.jpg

Oakland is the largest city and the county seat of Alameda County, California. A major West Coast port, Oakland is the largest city in the East Bay region of the San Francisco Bay Area, the third largest city overall in the San Francisco Bay Area, the eighth most populated city in California, and the 45th most populated city in the United States. With a population of 440,646 as of 2020, it serves as a trade center for the San Francisco Bay Area; the Port of Oakland is the busiest port in the San Francisco Bay, the entirety of Northern California, and the fifth busiest in the United States of America.[18] An act to incorporate the city was passed on May 4, 1852, and incorporation was later approved on March 25, 1854. Oakland is a charter city.

Activities

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
Objectives
  • 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
OaklandBusFleet.jpg Oakland 100% electric school bus fleet
The Oakland Unified School District, in collaboration with Zum and utility provider PG&E, has achieved a groundbreaking milestone by transitioning to a 100% electric school bus system with vehicle-to-grid (V2G) technology. This initiative, the first of its kind in the US, involves a fleet of 74 electric buses equipped with bidirectional chargers managed through Zum's AI-enabled platform. By becoming emissions-free and serving as a Virtual Power Plant (VPP), this fleet not only addresses environmental concerns but also contributes 2.1 gigawatt hours (GWh) of energy back to the grid annually. This transformative project not only benefits the Oakland community but also sets a precedent for other districts, with plans to electrify school bus fleets in San Francisco and Los Angeles next.
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.

Details