Guided by a vision with people at its heart, WFP is harnessing the benefits of blockchain technology in its operations. Since 2017, WFP and its partners have been applying blockchain technology through the “Building Blocks” (BB) project to help achieve its mission while working with the wider United Nations/INGO community to push for greater efficiency across humanitarian and development operations.
Innovation Tag: Data
Satellites collect images that can be used to identify deformations of infrastructure at millimetre level with InSAR analysis. This project investigates the use of InSAR in the monitoring of deformations of bridges. Can InSAR be of added value for a structural health assessment of bridges which, with aging assets over the largest part of Europe, becomes more and more critical? Nowadays the monitoring of bridges is very labour intensive and often not without danger. InSAR may reduce this.
AFSA regulates the bankruptcy system in Australia. The system is designed to support those in vulnerable situations due to circumstances beyond their control. However, there are bad actors who exploit the system by hiding assets/income. Using our risk-based regulatory approach, we have designed a system that uses an applicant's data and validates it against external data sets to detect potential misconduct. We aspire to build a data model to predict non-compliance at the system entry point.
The E-Gov Development Center has developed a new information exchange tool named ASAN Bridge in order to enable government organizations to transfer the necessary data to each other in more stable, secure and prompt ways. Through the assistance of this system, the key development challenge in the country was addressed by simply enhancing the safety and efficiency of the procedures and serving citizens better.
Public sector agencies are generating more video/image data but much of the data is not leveraged due to the high overheads and custom requirements in processing video. The VAS platform provides easy access to a spectrum of in-house and industry developed video analytics capability as well as model prototyping capabilities for agency use cases. The key innovation focus on bringing together a scalable platform, lowering the barrier of entry for usage of video analytics, empowering the pub
In Kenya, it remains difficult for both watchdogs and citizens to understand how financial resources are utilised since it decentralised services from national to county-level governments in 2013.
PesaYetu is a data visualisation website designed to easily explore, interpret and report on budget-driven stories affecting counties. The primary audience is researchers and journalists who want to empower citizens at the county level to engage their leaders on issues concerning policy and governance
TCS is part of the Government Data Architecture initiative to enable secure data sharing and usage across public service, built upon an integrated data management framework that manages the data lifecycle effectively from acquisition to destruction. It is a one-stop central sensor data platform that provides end-to-end data sharing services with exploitation environment.
A proof of concept has been created to incorporate design techniques in many elements of a PoD's life cycle, planning for future demands and overcoming existing hurdles. The proposed strategy prioritizes the needs of persons with disabilities and helps them acquire the resources and services they need. It also helps families gain confidence in caring for a disabled kid. This helps POD engage, lead, create, and sustain life.
Trend Atlas is a digital, interactive platform with rich insights on local and global trends and emerging signals to inform strategic planning, policy development and service redesign. It reduces research time, rework and duplication by breaking down information silos with centralised data and evidence. Built by policy people who upskilled in digital, it combines automation and curation with a sustainable contributor model to create a collaborative and trusted strategic intelligence service.
The project is subject to uncovering illegal duplication in advance from overseas inflow through the AI Reading System in the process of customs clearance cooperated with Korea Customs Service. No. of uncovering illegal duplication per annum exceeds 400,000 cases and the demand for AI system is high due to lacking manpower for customs inspection and the explosive increase in importing goods. This AI system has been developed from 2020, and proving its performance in two customs office in Korea.