Moving Innovation From Concept to Reality
Don't miss the Igniting Innovation 2019 Conference and Awards.
Igniting Innovation is your best chance to see the newest innovations in the public sector and the only innovation event that includes:
- 40 exhibits of competitively selected, cutting-edge innovations from across the country
- Attendance by innovation leaders from government, industry, and academia
- Keynotes, panels, and talks by senior government officials, thought leaders, and experienced innovators
- Top finalists and overall award winner selected by attendees
- Onsite and post-event coverage by multiple media outlets
Mark your calendar and register now.
Don't miss your chance to sponsor Igniting Innovation. For more information about Sponsorship please click here.
Igniting Innovation 2019 Conference and Awards
Moving Innovation From Concept to Reality
8:30 Registration Opens
9:00 Showcase Opens
10:00 – 11:00 “Fireside Chat” with Innovators Featuring:
- Amira Boland, OMB (invited)
- Andrew Ko, Amazon Web Services
- Annamaria Konya Tannon, George Washington University Innovation Center
- Jim Thompson, U.S. Department of State
Moderated by Jason Miller, Federal News Network
11:30 – 1:00 Lunch and Putting Innovation To Work Collaboration Activity
1:00 – 2:00 Presentations by Top Innovations and Voting for Igniting Innovation Award Winner
2:00 – 3:00 Keynote Panel
- Siobhan Dullea, CEO, MassChallenge
- Anil Cheriyan, Deputy Commissioner Federal Acquisition Service and Director Technology Transformation Service , GSA (invited)
Moderated by Francis Rose, Government Matters
3:00 – 3:30 Presentation of Awards
3:30 – 5:00: Reception and Networking
Top 40 Finalists
The assistive technology program seeks to deliver devices, services, strategies, and practices that help Veterans and active duty personnel become more independent in their daily life roles. The program administers and interprets assistive technology evaluation in the following areas: Powered Mobility & Seating, Augmentative and Alternative Communication Devices, Adaptive Driving Vehicles, Specialized Computer Access, Electronic Cognitive Devices, Electronic Aids to Daily Living, and Adaptive Sports. The program also works to adapt and modify treatment plans, activities and procedures to meet the needs of the patients. The program works with patients and clinicians to determine the need for appropriate assistive/adaptive devices/equipment and training.
CMS reviews thousands of unstructured medical records annually to measure the accuracy of Medicare Advantage payments – a rigorous, inefficient, and time-consuming manual process. CMS is automating the current manual medical record intake and validation process by building disruptive capabilities with emerging technologies such as robotic process automation, machine learning, natural language processing, optical character recognition, and microservices. CMS is striving for greater efficiencies in the medical record intake review process to improve their mission delivery and services for their Medicare Advantage Organization stakeholders. CMS is transforming the review process to allow for lower cost, reduced burden, and higher rates of review. The Process Automation review tool ingests medical records as they are submitted and identifies potential issues with the records in accordance with current parameters, submission rules, and coding guidance. Unlike a person, the Intake PA Tool isn’t limited to traditional business hours and can review records around the clock, 24/7, weekends, and holidays as the records are submitted. If any record cannot be processed with a high degree of confidence, the Intake PA Tool will escalate the medical record for manual review.
Blue Button 2.0 (BB2.0) is a developer-friendly, standards-based API that enables Medicare beneficiaries to connect their claims information to the applications, services and research programs they trust. BB2.0 is built on the increasingly popular HL7 Fast Healthcare Interoperability Resource specification. By following this important healthcare standard, BB2.0 enables software developers to quickly implement the API into their applications or services. The BB2.0 API is built using open-source software and is deployed via the cloud where new versions of the API can be deployed to a scalable infrastructure using a high degree of automation. The BB2.0 API also provides a “sandbox” environment for developers that enables them to experiment with synthetic data using the same API as the production BB2.0 API platform.
CDS Connect aims to speed the adoption of clinical guidance into clinical care and leverage the power of health information technology to reduce the burden on health care organizations and providers. A centralized repository of curated clinical decision support artifacts (i.e., logic expressions) will eliminate repetitive guideline translation and development by clinical providers and ensure clinical guidance is encoded clearly and accurately. CDS Connect developed tools that enable the healthcare community to more readily develop, share, and implement standards-based interoperable CDS logic expediting the process of delivering evidence-based care. The primary tools include a CDS authoring tool, which simplifies the process of converting prose guidelines to interoperable CDS logic, and the CDS Connect repository, which hosts and shares CDS logic that is released using open licenses for organizations to download and integrate in their health information technology system.
Code.gov makes the government’s source code easily discoverable and searchable, helps government avoid wasteful spending on duplicative software, and provides reusable, open-source solutions to the American people. Through open source, software developers can fulfill a civic duty on a digital platform. Code.gov encourages participation to solve known issues, test software, and create new features. It offers opportunities to innovate, invent, and provide solutions.
Commercial Solutions Opening (CSO) is a non–FAR-based acquisition approach that enables the government to competitively procure cutting-edge technical solutions or services available in the commercial marketplace. GSA’s implementation of the CSO authority attracts both traditional and nontraditional government contractors, including startups who may not have previously done business with the federal government. The CSO implementation led to two successful contract awards on behalf of customer agencies executed by the FEDSIM Innovation group. Benefits include fast-tracking timelines, negotiable terms and conditions, and streamlined solicitation requirements. The GSA FEDSIM Innovation team shares their processes and lessons learned internally and externally to encourage innovative partnerships between the government and nontraditional companies.
The Diffusion of Excellence Initiative (Diffusion) is a novel framework developed by the Department of Veterans Affairs (VA) for systematically identifying, evaluating, and scaling promising field-based practices in healthcare. The goal is to standardize these promising practices across the Veterans Health Administration (VHA) to promote positive outcomes for Veterans. Diffusion strives to promote VHA as a learning system that empowers its frontline employees to take an active role in improving the care that VHA delivers to Veterans by sharing their innovative ideas. Before Diffusion, VHA lacked a systematic mechanism for sharing promising practices developed at the VA Medical Center (VAMC) level. Clinical and administrative employees relied on informal networks to disseminate their innovative ideas, making it difficult for these promising practices to gain traction, which can promote inconsistency in care delivered to Veterans. Moreover, the frontline staff at VHA that came up with these ideas received little feedback from a regional or national perspective, limiting the reach and impact of these practices. To address this challenge, VHA developed the Diffusion model based on requirements for the people, process, and technology of VHA.
Cognitive Automated Response Learning Agent (CARLA) is a new, disruptive, cognitive interactive conversation agent that leverages artificial intelligence (AI) and natural language processing to understand users' questions. Users interact with the virtual advisor just as they would with a human and the AI is able to understand the intent of their question and provide the correct response. CARLA can gather information from multiple data sources, including social media, weather, IOT sensors, and others, and integrates with back-end systems to automate business workflows. During Hurricane Michael in 2018, 2-1-1 made CARLA available to answer citizens questions (in both English and Spanish) about evacuation, emergency food and shelter immediately. CARLA not only helped scale to support the significant increase in call volume during the storm, but also provided fast and accurate information to Florida residents affected by the storm. Similarly, during Hurricane Irma, the 2-1-1 service in Florida was inundated by public inquiries for storm-related information. To alleviate the strain on their call centers during times of disaster IBM used CARLA technology to create a virtual agent for the Florida 2-1-1 service.
The FDA “Innovation Lab” promotes technology innovation to drive and manage a collaborative environment for recognizing innovation, channeling ideas from industry, and tapping into diverse knowledge and collective creativity of the agency’s diverse research community. The Lab promotes new ways of using technology to help solve mission and business needs, fosters problem solving and out-of-the-box thinking, and increases workforce awareness of FDA practices in science, health and technology. The Innovation Lab is powered by the concept of “Idea Exchange” (Ideation Tool) to solicit ideas (as trivial as business system / process improvements or as complex as next generation technology to enable the 21st century work force), from the user community. Using an agile methodology the innovation team transforms these ideas into a business concept or product design, and rolls it out across the enterprise. The collaborative community of experienced professionals from technology and health, seasoned subject matter experts, and technologists have submitted over 150+ ideas and the Innovation Lab has successfully implemented and rolled out 30+ ideas. There is always something fun and exciting happening in the lab, whether it’s enabling inspections using drones and virtual reality, testing VGO robots, or hosting a Workshop or Tech Talk regarding a popular technology.
Find-It-First (FIF) TM is a proprietary technology and software platform designed and developed to manage complex structured and unstructured data, content and assets for dissemination through multiple online and offline channels. FIF uses the power of artificial intelligence, natural language processing APIs, and deep learning algorithms to create custom classifiers and classes to index and catalog content rapidly. FIF transforms existing capabilities by uniquely combining COTS technologies and platforms with customized software to address the client agency’s specific data and content challenges. FIF is innovative in the way it tackles the challenges of ingesting, analyzing, categorizing very complex, technical and specialized scientific data and content using an integrated system of AI, natural language processing, visual recognition (for images), search functionality and content management tools tied together and automated through agencyQ’s FIF software.
The Forescout device visibility and control platform offers a unique, agentless approach to network security, enabling government agencies to see all of the devices on their networks. It continuously discovers, profiles and classifies devices, users, applications and operating systems while monitoring managed devices, personally owned devices and other endpoints. The Forescout platform uses this contextual device intelligence to apply policy-based controls upon devices and orchestrate incident response and device remediation among multiple third-party security solutions. Forescout excels at meeting or exceeding key technical and interoperability standards of military and civilian customers. Forescout uses its device visibility and control capabilities to improve and automate asset management, device compliance, network access control, network segmentation and incident response. The solution currently scales to two million devices per deployment across the extended enterprise, including: campus, IoT, data center, cloud and OT.
The Genomic Laboratory Information Management System will link genetic test results to Veterans' electronic health records. A patient’s genetic data informs diagnosis, prevention and treatment of several diseases, so it is extremely important that both patients and their health care providers understand whether patients have a clinically actionable genetic variant. Delivering this directly to the patient via an app is something that no other health care organization has done. The innovation will improve quality of life for Veterans by providing them the best treatment path forward and save VA money by using precision medicine when prescribing medications to Veterans. Genomic LIMS improves the quality of care that Veterans receive through VHA and is of particular benefit to allowing Genetic telehealth services. Developing the VA laboratory informatics capacity now instead of waiting for electronic health records, will allow VA laboratories to expand their capacity to conduct testing internally sooner and enable the VA to electronically send and receive genetic test orders and results.
Private sector systems available to public affairs specialists limit media searches to cities and states where media outlets are located making targeting media outlets that serve specific geographic areas very difficult. USDA led a multi-agency effort to develop a GIS-based media system that utilizes GIS to identify which media outlets serve any geographic region down to 0.1 miles and generate a distribution list of media outlets for the affected area. With this tool, public affairs specialists now can better target messaging quickly during natural and man-made disasters and conduct much better targeted hyperlocal media outreach. The system launched in May 2018 and is in use by multiple federal departments and state emergency response agencies.
Health Care Quality Analytics and Reporting (HCQAR) is an innovative approach to big data analysis at CMS. Leveraging industry-leading big data technology, coupled with open source analytics software, our solution drastically decreased the time required to perform complex analysis resulting in an average reduction of over 90% in compute time and a savings of over 60% in associated labor cost and error correction. CVP’s approach will save hundreds of hours of manual labor and allow for ten times the data analysis using best practices in storage, software, and reporting in one of the most complex and important government programs: Medicare & Medicaid. Now data goes from being gathered to being actionable within days instead of months providing doctors better information faster to improve patient outcomes.
ACCELERATE is a transformative program in support of HHS ReImagine Acquisition designed to empower the workforce in a decentralized manner and create a flexible capability for HHS to change and implement policy. Accelerate addresses acquisition workforce process challenges and improves the value derived from HHS expenditure on acquisition support systems. It is architected to combine the power of four proven emerging technologies to address these fundamental challenges, and to provide a transformational enhancement to HHS Acquisition capabilities. This program also helps align HHS with the President’s Management Agenda, the Modernizing Government Technology Act and the DATA Act.
BUYSMARTER is a transformative, data-driven initiative leveraging the collective purchasing power of the U.S. Department of Health and Human Services (HHS) to secure lower prices, achieve operational efficiencies, and generate cost savings on goods and services. BUYSMARTER uses Artificial Intelligence (A.I.) technology to analyze departmental requirements based on current HHS-wide spend data. This helps identify opportunities to consolidate contract vehicles across agencies within HHS to leverage overlapping requirements at a significant cost savings for the federal government. The initiative goal is to help modernize HHS purchasing activities to gain efficiencies, eliminate redundancies, and obtain significant cost savings by leveraging HHS’s consolidated bargaining power to gain economies of scale and standardize pricing for products and services for $24 billion in the HHS-wide annual spend. The overarching objectives of BUYSMARTER are to: 1) realize cost savings by leveraging the enormous purchasing power of HHS; 2) enhance and streamline the end-to-end procurement process by utilizing new and emerging technologies such as blockchain, A.I., and robotic process automation; 3) establish a cohesive, cross-HHS acquisition organization that operates transparently, efficiently, and effectively; and 4) encourage competition as an incentive for BUYSMARTER to reduce spend and control lifecycle costs. BUYSMARTER seeks to initiate a process to assess, evaluate, coordinate, and develop a full-spectrum HHS acquisition strategy that streamlines the entire buying lifecycle, by considering and validating each activity, function, condition, requirement, and output in support of HHS and divisional operating requirements, while focusing on the HHS mission.
The Integrated Logistics Management System (ILMS) Fraud Analytics capability identifies situations where persons working for the Department of State are committing waste, fraud, and abuse. The capability targets situations where, at a minimum, employees are not following supply chain management controls. These problems can be solved through training, reorganization, or process reengineering. But Fraud Analytics also finds situations where employees are defrauding the United States government of its property. It does this by analyzing terabytes of data generated by ILMS - the system responsible for forecasting, procuring, shipping, warehousing, inventorying, and disposing of property owned by the Department of State. The Fraud Analytics model regularly identifies the most at-risk embassies and consulates. After identification, the ILMS Training, Property Management, and Data Forensics teams collaborate to communicate findings to the owners of the logistics business processes. All parties work together to investigate and respond to the findings.
This cloud-based Medical Common Operating Picture dashboard brings near real-time geo-intelligence and data feeds to a dashboard. Previously, briefings given at 3:00 pm contained information gathered as early as 6:00 am that morning. Formatting briefings delayed getting information to the decision-makers. Data became outdated in minutes. I wanted a machine to machine data transfer from many different disparate data silos to automatically feed and update the dashboard and plot the data on an interactive map displayed in relation to Army assets. As a medical command, our goal is to reduce suffering and save lives. Moments matter when this is your mission. Understanding events on the ground for this command is daunting during hurricanes and other weather emergencies. This changes is how we access, amass, and connect data from separate silos to a time responsive data matrix visually displayed on a map delivering contextualized data to the Operations Team and the Commanding General at any time from any internet capable device without the need for formatting.
Person Centric Services (PCS) provides authorized users with enterprise query access to the full history of interactions between a specific individual and key federal agency information necessary to process the immigration lifecycle. Simplified, streamlined access to this information allows USCIS to adjudicate cases faster and at less cost while helping to identify those who may be ineligible for immigration status and related benefits. PCS uses artificial intelligence and machine learning while interfacing with numerous systems, including a number of legacy systems. PCS is a cloud-based architecture that securely and confidently consolidates disparate information to create reliable and accurate person identities for applicants and participants.
PillSafe is a mobile platform that aims to improve healthcare by streamlining the legality, technical and behavioral factors that together contribute to people’s health on drug use and present the best options to them in real time in a language they can understand and act upon. PillSafe provides features not covered by the existing mobile applications market including: drug interaction alert, dosage alert, adverse event alert and report, drug recall alert, drug label imaging, clinical trial information, interactive advice on opioid-based medication, and leveraging social media to share experiences within the same medicine use group.
Pilot Training Next (PTN) is focused on increasing the throughput in the pilot training pipeline by integrating commercially available products into realistic training stations. Each student is assigned their own station during classroom training events and a separate station shared with roommates for training outside of normal class hours. PTN students have almost unlimited access to the simulator stations to augment legacy high haptic feedback simulators, greatly reducing their availability as a training bottleneck. The student simulator stations, which cost less than $15,000, include a Virtual Reality flight simulator with vibrating cockpit-style seats; hands-on throttle and stick; rudder pedals; electronic virtual kneeboard; accurate scenery of the local area; and a T-6A 3D visual, auditory and flight model. Biometric data is collected to show a student’s real-time cognitive load using commodity eye tracking hardware, along with neuropathic mapping algorithms provided by a startup company, to measures muscle movements in the eyes. Chest straps monitor also collect physiological data such as heart rate, heart rate variability and breathe rate. All components of the PTN system are integrated using the IEEE 1278/Distributed Interactive Simulation (DIS) standard, and stations interact with capabilities hosted on a locally-resident server. The server hosts a synthetic tutor which monitors simulated flight data to provide real-time feedback on the student’s progress and proficiency. The synthetic tutor prevents negative training by preventing students from repeatedly executing a maneuver poorly during times when a human Instructor Pilot (IP) is not available to mentor the student.
Program Support Center’s (PSC) financial management and procurement team is utilizing technology that features a partnership of Appian’s business process modeling software tool and Blue Prism’s robotic process automation software tool to automate specific tasks. PSC calls this new automation product PSC Workflow Automation or “PSC-WA” for short. The new product enables PSC to deliver a comprehensive platform for automating labor intensive services in a secure, scalable manner. PSC-WA automates and updates repetitive duties and workflow operations that impact all PSC portfolios’ workloads. This innovative robotic automation platform will improve efficiencies across the organization, reduce human error, speed up process time, and allow employees to focus on more analytical tasks and creative thinking for future products, services, and business solutions.
USAGov's chatbot, Sam, is the first program in government to use artificial intelligence to reimagine how people identify and report scamss. It points people to the action they need to take, without users having to read pages of content. With a friendly, yet knowledgeable tone, Sam engages users with empathy, depending on their situation. Sam uniquely fuses the benefits of several USAGov competencies: accurate content, a stable technology platform to host the chatbot, and a commitment to customer service normally demonstrated in our contact center. The bot engages people at their level of understanding. After asking a few conversational questions, Sam directs a user to the best solution for their situation. Sam elevates our ability to answer questions directly, in real time on our website, at a minimal expense. We also expect that visitors' experience on our website will be better because Sam will reduce the search time or feelings of aggravation at not getting a direct answer.
Fend has developed a low-cost, plug-and-play data diode to provide the security of an air-gap while increasing the accessibility and quantity of data to managers across civilian agencies and DoD components. Recent attacks on US and international power grids and building systems highlight the need for improved security on the industrial internet of things. Without a cost-effective security solution, much of this equipment is left disconnected from the network (“air-gapped”) and unmonitored. Data diodes are security appliances that enable a physically-enforced, one-way information stream about the state of this equipment. These devices use light as the medium to transmit data from one side to the other, physically isolating the equipment from lower-security networks. Data diodes are used today to protect the most critical of assets, like nuclear power plants, but at an expense often exceeding $100,000 per connection. Fend’s hardware is a low-cost device that provides the physically-enforced one-way data transfers of data diodes while removing the need for extensive on-site configuration. Fend serves the unmet needs of critical infrastructure managers across government and industry by quickly enabling secure access to equipment data.
One of Leidos’ proven security products, Reveal™, is a dual energy Computed Tomography (CT) Explosives Detection System used by TSA to inspect checked baggage in more than 200 U.S. airports and 600 locations worldwide. Leidos' proposed Opioid Detection innovation will transform existing Reveal capabilities to provide other U.S. government agencies with the ability to examine and detect a greater portion of cargo/parcels to interdict narcotics and other chemical substances of concern across International Mail and Express Courier Consignment facilities, which will also address the critical opioid crisis the nation currently faces. This is necessary because the vast majority of opioids are shipped from China straight through international mail and result in tens of thousands of deaths in the US each year.
Conventional walkers are static and can be dangerous on uneven surfaces such as stairs or ramps. The self-leveling walker is aimed at helping Veterans with orthopedic injuries or movement difficulties independently and safely climb stairs, while minimizing home adaptation costs and possibly reducing rehabilitation training time. The walker has hydraulic columns that allow the front to shorten and the rear to lengthen when climbing stairs. The self-leveling walker includes a frame assembly with a leveling assembly for adapting the relative length of the four legs of the walker to accommodate a substantially constant level of the walker so that the user may maintain an erect standing posture at all times, without the need to lean forward or back to accommodate uneven surfaces. The invention employs a fluid or gas based circuit between the front and back walker legs on each side to shorten or lengthen each front and back leg with respect to each other, thereby maintaining the overall level of the walker on the subject surface being traversed.
ShakeAlertLA is the nation’s first publicly-available earthquake early warning mobile application. It is a breakthrough step toward achieving an earthquake early warning network across California and eventually the entire west coast. ShakeAlertLA is a pilot project, in collaboration with Los Angeles Mayor Eric Garcetti, the City of Los Angeles, the US Geological Survey (USGS), AT&T and The Annenberg Foundation, to combine the USGS ShakeAlert earthquake early warning sensor network with mobile app technology. The app is designed to alert users when seismic activity equal to or greater than magnitude 5.0 is detected by a regional sensor network. It includes maps that help users visualize the earthquake’s epicenter in relation to where they are. The app also has tools to build a readiness plan, equipment citizens with local response information and deliver details on support services for recovery efforts.
SCITI Labs is “commercial first” innovation, starting with relevant innovation in adjacent non-government markets and adapting those capabilities into government use cases rather than the more traditional Tech Transition looking to push government innovation out to commercial markets. During 2018 we were proved the success of this approach in three difficult challenge areas put forward by the government: in-building sensors, constrained space UAVs for search and rescue, and Smart hub systems for first responder use. The results of the SCITI Labs approach have been dramatic. In January 2018 we released a short (approximately 5 page) Request for Information in each of the three areas, describing the problems to be addressed, and some of the associated constraints. Because CIT and our industry partners TechNexus and Smart City Works all exist within the commercial innovation ecosystem, we were able to reach out to more than 1,500 companies in related areas such as public safety, mining, construction, smart cities, oil & gas and others with similar problem sets. In three weeks, we received 140 applications for participation and downselected to 12 performers. Those performers, with government funding, were able to adapt their commercial offerings over the course of three quarterly reviews.
Snap-X is a decision-making platform for government environmental managers, disaster risk managers, and law enforcement to triage emergency situations, through pictures and video alone, into high and low risk categories through real-time geolocation and computer vision. It offers the government a new mode of “sentiment analysis” applied to images through a custom risk score built using artificial intelligence models. We combine geospatial mapping with tagged photos and videos crowdsourced from concerned citizens or government stakeholders, with computer vision algorithms using techniques in deep learning to communicate "how bad" a situation is by analyzing the photo alone. Rather than manually scrolling through images, SNAP-X examines photos and outputs a score from 0 to 100 indicating how urgent or critical the situation in question is. Our innovation could be adapted and repurposed today for domains in humanitarian assistance by being applied to aerial, overhead imagery captured from helicopters or by bystanders, as well as for environmental and hazard mitigation, and even potentially for biochemical skin exposures - all with the geolocation and time associated with each image.
The State of Ohio’s Department of Administrative Services and the Ohio Benefits project leveraged process automation software – a high impact, low-cost, and quick-to-implement technology – to undergo rules-based tasks that free up the workforce and streamline business processes. In 2018, the State of Ohio served as state government pioneers within this technological space and explored opportunities to implement process automation to realize operational efficiencies that transform and enhance existing processes. The automations or “Bots” operate within a state government system known as Ohio Benefits, which determines eligibility for public assistance programs that include Medicaid. The Bots work alongside county staffers or caseworkers and state employees, who help the citizens obtain social services. The Bots reduce the burden of repetitive tasks for the county caseworker, which allows them to focus on high-impact activities that require human judgment.
The Steps to Performance Based Acquisition application, geared to the greater acquisition community, breaks down performance - based service acquisition into eight steps: the first seven spanning from acquisition planning through performance management and a new eighth step for contract closeout. It is intended to make outcomes based procurement accessible for all and shift the paradigm to collaborative performance-oriented teamwork with a focus on program performance and improvement. The application’s innovative spirit can be found in its resource library, which allows a user to treat all of the guide’s text as a series of searchable contextual building blocks. This dynamic application provides a modern design and easy to use interface with smooth, effortless navigation capabilities and expanded search options for government acquisition professionals who are seeking guidance, resources and tools to support their work.
The five firms partnering on this entry propose an “Objective Eligibility Verification” (OEV) to facilitate a leap forward in accurate and automated eligibility verification related to payment processing for government benefits. To achieve this leap, OEV leverages new RegTech-platform technology, cutting-edge identity-resolution with blockchain records, and extraordinary innovations and flexibility made possible by the advent of the API economy. With the RegTech One platform and precisely-targeted APIs, agencies seeking more accurate and more automated eligibility and payments verification can create: a shared Network of Applications unique to their precise proper-payments needs; an Ecosystem of Data related to eligibility that is accessible across agencies; and a ground-truth digital ID and benefits profile that may be stored, updated, and accessed via blockchain as needed and with full certitude. These key features provide the foundation for reducing improper payments in a complex distributed-benefits system in vertical technology environments. The primary and most obvious benefit is the drastic reduction in fraudulent or improper payments and other benefits.
Talent as a Service (TaaS) is an innovative approach to fundamentally change the way hiring and recruitment are conducted to meet critical needs for talent in the U.S Federal Government designed in response to challenges with speedy hiring of quality IT professionals. TaaS is built on the concept that a well-integrated system, supported by a flexible and adaptable human capital process, can attract the next generation of workforce into civilian service. Today's business model for federal hiring hampers government’s ability to identify, enlist, develop, and grow the best and brightest. TaaS seeks to change this dynamic by incorporating proactive strategies to market federal employment and attract both active and passive candidates. TaaS also incorporates recruiting strategies that are supported by well-orchestrated strategic sourcing operations, including seamless onboarding and clearance of a flexible and mission ready workforce. TaaS is designed to make things easier by creating a unified approach where job candidates for designated positions are 1) moved into a cross-government Federal Talent Pool, 2) associated with like communities of subject matter expertise, and 3) readied for potential employment. This will increase the supply of workforce eligible personnel in particular for program and mission areas. Within the TaaS construct, agency human capital staff will focus almost exclusively on employee staff development and leave sourcing, recruiting, and staffing functions to TaaS staff. TaaS, however, is not designed as a “one size fits all” approach for federal hiring, rather it will be used to target and improve mission critical skills for needs across government.
The Trusted Applicant Program (TAP) is a continuous pre-payment, risk-based data verification framework that provides enhanced targeted vetting. The vetting is conducted by using predictive analytical methods. The core strength of the framework comes from the assumption of ineligibility unless otherwise documented, extending the definition of applicant to all members of the household, and making the applicants an active component of the eligibility checks while using advanced analytics. TAP can be a feasible alternative since it has the potential to be affordable, dynamic, scalable, and implementable without any legislative changes. TAP framework includes three steps: initial data collection, initial verification and ongoing data collection/verification. The main challenges with data collection is the lack of reliability of self-reported data, and matching issues because of different frequencies and reporting periods and hence data accuracy. We believe making the applicant an active component of eligibility verification is very important. We propose collecting an active phone number and email address that would allow for a required applicant response within a reasonable time.
UiPath’s enterprise robotic process automation (RPA) platform helps companies and public sector agencies leverage the power of software robots to take on rule-based tasks – freeing people from burdensome, routine, mundane labor so they can focus on more valuable, productive and gratifying work. The company’s platform delivers unrivaled robotic capacity, flexible scaling, and confidence and control throughout operations spanning on-premises to public clouds. Through its innovative tool, UiPath is helping to accomplish its vision of a more productive, fulfilled working paradigm that plays to resources’ inherent skills sets – creative and strategic work for people, and repetitive and rules-based work for robots. UiPath makes it simple for agencies in the public sector and federal employees to implement, manage and benefit from the support of RPA. Today, 25 government agencies -- such as NASA Shared Services Center, U.S. Postal Service and Department of Defense -- use UiPath's RPA platform to deploy attended and unattended software robots quickly and accurately, resulting in proven business outcomes, higher job satisfaction, stronger security and improved compliance. Agencies in the public sector that have implemented RPA have increased efficiency by speeding up processes and delivering greater value to all constituents. UiPath’s full-featured commercial product is freely available for download as part of its mission to democratize RPA, which starts with greater access to the technology. In the federal sector, this has allowed for early adopters to learn and understand more about robotics before bringing the platform into secure federal environments. The free download is offered to all interested and, as a result, UiPath is being widely accepted at not only the federal level but also in states, counties and local government.
Univago Healthcare Edition (Univago HE™) is a comprehensive telemedicine video platform designed to enable video communications across the entire continuum of healthcare-specific workflows. It is a unified communications solution which facilitates clinical collaboration with an intuitive interface designed for clinicians, outstanding reliability and uptime, remote management capability, and affordable support. Univago HE combines a core software solution that is inclusive of the platform and workflows in conjunction with either standards-based or purpose-built video endpoints also provided by Yorktel. By recognizing the intrinsic value of video communications to transform aspects of traditional patient care and understanding the virtually unlimited benefits that transformation may offer, Yorktel launched Univago HE as an innovative answer to healthcare providers’ persistent requests for telemedicine solutions with an initial target market of the Intensive Care Unit (ICU).
USA Performance is the U.S. Office of Personnel Management’s software-as-a-solution for federal employee performance management. USA Performance deployed significant technical enhancements in 2017-2018 making it possible for any Federal agency to use for all employees. With more than 75 percent of Federal agencies relying on a process where performance appraisals were hand-signed, processed on paper, and archived, OPM envisioned USA Performance as a solution to automate and streamline performance management across the Federal government. USA Performance moves agencies away from burdensome paper-processes to automating their employees’ performance appraisals through the entire rating cycle. Recent technical enhancements enabled agencies to configure USA Performance for their agency requirements and performance plans without any customization needed by OPM. In addition, OPM hosts and maintains the system, ensuring it meets all relevant IT security and compliance requirements.
One of the first of it's kind blockchain implementations for a federal government agency. Blockchain modernizes and transforms existing operational processes at the Postal Service by aligning multiple stakeholders - including internal IT stakeholders, commercial airlines, foreign postal administrations, and others - around a single source of truth database that will act as a foundation for trust and transparency. The solution will enable real time, network-wide operational alerts in order to coordinate multiple parties around the complex value chain of international mail processing. The solution will be built modularly, allowing for additional user-specific applications to be built on top of the data layer (the blockchain) and shared/reused among different network members. In building this first-of-its kind solution, our team adheres to dynamic scrum/agile development processes in order to enable speedy value creation within an iterative process where clients are kept informed on a continual basis.
AEEC partnered with Google Cloud to develop an innovative solution to transform the way water and wastewater utilities ingest, store, and analyze data from any source: SCADA systems, IoT sensors and critical external sources like USGS and weather databases. By ingesting these data sources to a single location, we transform utilities’ ability to perform data analytics, machine learning and artificial intelligence. The customizable solution framework features a user-friendly dashboard for visualizations, predictions, alerts and automated reports, to enable new levels of data-driven decision-making and predictive maintenance. Our data analytics solution on GCP consolidates discrete systems to a centralized robust, secure platform with advanced data processing tools. This solution helps drive process optimization to reduce operating costs while accurately predicting future trends, such as water quality, quantity, process operating parameters, and environmental impacts due to weather patterns. This benefits all stakeholders associated with the utilities industry, including the general public, through safer, more reliable, and more cost-effective service.
The Wake County (NC) Revenue Department’s tax assessment model uses SAS machine learning software to reassess property tax values, every day, for every one of the county’s 400,000 properties. The department's cloud-based, machine learning model considers thousands of factors and real-time property sales to offer timely, objective, and highly accurate assessments of every property. To accomplish this, SAS runs, revises and re-runs hundreds of thousands of decision trees. With every property sale, the model is refined to become more precise. A single house sale has a ripple effect across the county, not only influencing the assessed value of the houses around it, but those surprisingly far away. The system can predict a property’s sale price based solely on recent sales data, with no additional input from the user. There are dozens of inputs that affect property value: square footage, township, neighborhood, number of bathrooms, exterior finish, etc. A typical modeling approach would require substantive knowledge of how these inputs interact, for example, how square footage rates vary by neighborhood, or how the value of an additional bathroom is greater for houses with few bathrooms than for larger houses with many bathrooms. However, using machine learning software, such knowledge and assumptions are not required – the computer learns as it processes each home sale.