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Global City Teams Challenge Team Lead (name & organization): Mahesh Punyamurthula; Microsoft Team Members and Partners (name & organization – include cities/communities if possible): Chris Phillips and Bob Pette (TouchShare, Inc.); Russ Johnson (Esri); Mahesh Punyamurthula (Microsoft) [Please scroll down to page 2] ***** Note: The contents of this worksheet will be made public. *****

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Page 1: s3.amazonaws.com€¦ · Web view2014/10/07  · Streamline asset management using existing GPS tracking tools to help identify nearby subject matter experts and other resources Quantify

Global City Teams Challenge

Team Lead (name & organization): Mahesh Punyamurthula; Microsoft

Team Members and Partners (name & organization – include cities/communities if possible): Chris Phillips and Bob Pette (TouchShare, Inc.); Russ Johnson (Esri); Mahesh Punyamurthula (Microsoft)

[Please scroll down to page 2]

***** Note: The contents of this worksheet will be made public. *****

Page 2: s3.amazonaws.com€¦ · Web view2014/10/07  · Streamline asset management using existing GPS tracking tools to help identify nearby subject matter experts and other resources Quantify

Global City Teams Challenge

***** Note: The contents of this worksheet will be made public. *****

DEVELOPMENT AREA- Global City Teams ScenarioTitle: Real-Time Geospatial Collaboration Platform for First Responders

Brief Description of the Project: Describe the project.Leading up to and during critical situations within any community there is a universal need to coordinate the appropriate personnel and the appropriate information in order to realize the most efficient response. Combining real-time geospatial collaboration, Geospatial Information Systems, and easy to use mobile touch devices, Microsoft, Esri and TouchShare are joining forces aiming to offer a best-of-breed solution that improves the way in which first responders interact with and disseminate information for improved situational awareness across federal, state and local organizations. The prosed project includes analytical tools for improved analysis, like overlaid datasets, transparency of data sets, and lensing to focus attention to specific locations or relevant data, including demographic data and fusing feeds from connected devices/IoT.

Issues to be addressed: Describe the issue(s) to be addressed by this project.

This project focuses on the issues that breakdown situational awareness, and ultimately the safety of first responders and the community at risk, during critical situations, such as: Inability to directly connect with internal or field personnel and remote

and partnering organizations Inefficiencies in obtaining/disseminating accurate information as a result

of radio miscommunication, static/paper maps, and inconsistent data sets. Inability to receive, access and collect up-to-date information from the

incident site and/or isolated users (i.e. offline/remote environments) Struggles with vast amounts of information (lack of focus on critical data) Software and hardware that is not intuitive, or requires extensive training

for volunteers and first responders with limited time for trainingPROGRAM APPROACH Major Tasks: Describe a possible approach to developing the identified need, including 3-5 major tasks

Discuss real-time Intra-agency & Inter-agency collaboration scenarios

Demonstrate effective information sharing between Geospatial Information Systems (GIS) professionals and non-GIS professionals

Demonstrate lightweight (low bandwidth) collaboration between co-located personnel and devices (e.g. large format displays, desktops, and mobile tablets)

Demonstrate a unique platform for visualizing, interacting and analyzing complex datasets (e.g. live feeds, videos, image, and metadata)

Overview of how to leverage an organization’s existing GIS investments, infrastructure and cloud services (i.e. Azure)

Connect to Cloud IoT infrastructure to bring feeds from connected devices to a Common Operating Picture (COP), providing a real-time situational awareness to the command/operations center and to the connected “client” devices.

Major Milestones with dates: Define 3-5 milestones that can be used to measure progress (what markers can we use to measure and assess progress in development?) Date/Frequency: every 30 days from project inception Propose 3-5 milestone demos (in-person or remote) to showcase

the following:

- Live demonstration using cloud-hosted services to share a common operating picture across multiple devices in multiple locations

- Enablement of field collection/eForms tools such as ESRI Collector and other tools, pushing field reporting to Online and Server-based services, turning field collection into a near real-time shared common operating picture

- Improved analytical capabilities by using data overlays, lenses and transparency tools to uniquely identify relationships within or between data sets.

Performance Targets: Identify 1-5 (quantitative if possible) targets that define a successful outcome (what does success look like?) Proposed workflow vs. existing workflow time to completion

comparisons for both in-agency and interagency collaboration. - Cut hours off decision making and improve responder and

community safety from an emergency through live collaboration and information sharing between partnering organizations, agencies, and personnel from Emergency Operations Centers to the field

- Improve the efficiency of field data collection/reporting by enabling in field responders, analysts, and subject matter experts to exchange information on the fly

- Provide first responders and remote personnel a way to be productive in connected and disconnected environments

- Streamline asset management using existing GPS tracking tools to help identify nearby subject matter experts and other resources

- Quantify cost savings to organizations considerable through effective remote collaboration (i.e. reduced travel costs)

Impacts and BenefitsImpacts: Describe the important benefits that would result from this system, if implemented (e.g., new products, jobs, economic growth, exports, tax base, etc.) as well as impacts on energy, health, safety, environment, and other quality of life aspects. Connect to IoT infrastructure to bring multiple feeds from

connected devices to a common operating picture- please see illustration (of possible scenarios) at the end of the document.

Faster and more efficient and accurate response to the community involved in a situation

Considerable cost savings to cities, counties, states, by reducing the need to travel or put knowledge experts onsite at each incident

Leverage existing GIS resources by making them collaborative with minimal additional investment

Considerable improvement in community safety as content from the field is disseminated in real-time to community members and first responders, allowing for a common understanding of the situation.

Domains/Sectors: What other sectors or domains does this potentially impact? In addition to Emergency Management, this solution would also be valuable in: Law Enforcement – event planning, crime analysis, disaster

response, and day to day patrolling Defense and Intelligence – mission planning, reconnaissance, and

operations Oil and Gas – exploration, extraction, and problem solving during a

disaster Construction – where to build, analyze design challenges, improve

level of service and communication with customers or stakeholders Agriculture – weather impacts, drought control, etc. Public utilities – Accelerated geo-referencing of assets and outlined

affected zones during a situation and improved dissemination of suggested actions to the public

Demonstration/deployment: Please describe the physical demonstration that will illustrate your interconnected city system. Specify the place of deployment (cities, counties, etc) if possible.

Demo and deployment can be anywhere in US or worldwide due to cloud-hosted architecture, mobile devices and collaborative nature of the solution; within the US the cloud deployment is Criminal Justice Information system (CJIS) certified

Remote or in-person demonstration to show effective information sharing between Geospatial Information Systems (GIS) professionals and non-GIS professionals, including the public

Demonstrate lightweight (low bandwidth) collaboration between dispersed personnel and devices (e.g. large format displays, desktops, and mobile tablets). Demo will visually show minimal latency or delays in collaboration from node to node

Demonstrate a unique way to visualize, interact with and analyze complex datasets (e.g. live feeds, videos, image, and metadata)