Innovation Tag: Data

Most Brazilian metropolises have a transport network operated by a private company which makes it difficult for transport authorities to have a bright view of the public transport functioning. TRANCITY is a public transport monitoring dashboard which integrates different sources of data, such as bus location, ticketing and cameras, providing real time and historical information that supports management, planning and the operation of public transport networks, with data driven evidence.

MedeINN arose from the need to innovate in the government sector, in a city that had been developing its innovation capabilities in all other sectors. For this reason, and under Innovative State premise, we seek to connect the Mayor's Office of Medellín´s challenges with entrepreneurs and researchers capacities. This has been achieved after a redesign of a Public Procurement for Innovation methodology, which enables Open Innovation in the government sector.

The Environment Agency has a responsibility to protect communities from flood and coastal risks. In the past, the agency has struggled to scale their public engagement and reach their diverse audiences, while also retaining a local relevance. Hello Lamp Post was brought on to provide an interactive, live 24/7 conversational channel to educate and inform the public on flood safety, in high-risk locations around the South West of England and Newcastle.

The Violence Early-Warning System (ViEWS) is a publicly available data-driven forecasting system at the frontier of research that generates monthly predictions of conflict fatalities up to 36 months ahead – throughout Africa and the Middle East. The project launched in 2017 to help policy-makers and practitioners plan anticipatory action and humanitarian interventions with a transparent and evidence-based approach. It is based at Uppsala University and Peace Research Institute Oslo.

The hard-fought gains of democratization have come under attack in many countries. To reverse this trend, policymakers and civil society need new tools to navigate sophisticated forms of democratic erosion. We combine recent advances in machine learning with massive webscraping to produce high-frequency data and forecasts predicting where democratic backsliding will occur and the specific forms it will take. We equip pro-democracy forces with advanced warning to guide more strategic responses.

The rate of innovation often exceeds the speed at which regulatory systems can adapt, blurring lines between sectors and cutting across transitional regulatory and geographical boundaries. The RPF aims to keep the UK at the forefront of regulatory thinking and experimentation. It sponsors projects, led by regulators, aiming to help create a UK regulatory environment that encourages business innovation and investment. It is market-led and uses real-world innovation settings to deliver.

With the Quality Tools an organisation can evaluate, monitor and compare the quality and use of its services within and between organisations. The tools include a Self-assessment, Customer Feedback and Utilisation Rate Measurement tool and are free of charge. The tools were developed primarily for public sector organisations to help them develop customer-oriented digital services and improve knowledge-based management. On a national level the tools provide data on the state of digitalisation.

We live in an infodemic context. A lot of data doesn't mean good data. This brings to question the information sources and the data itself. Decision-makers don’t understand citizens’ needs and act based on uninformed decisions, and citizens feel neglected. This generates a systemic lack of trust. Citibeats' ethical AI makes helps governments interpret the huge quantity of data exchanged every day by citizens in real time, understand their needs, and make faster and better-informed decisions.

In 2021 Statistics Canada, Canada’s national statistical agency, successfully implemented a new strategy for coding write-in responses to questions asked on the Census of population. Fasttext, a natural language processing algorithm, was applied to 31 questions and approximately 7 million write-in responses that would have in the past been completed by human coders. This innovation significantly increased the coding efficiency by decreasing the time and cost required to code the 2021 Census.

"Why did I fail? How should I develop my career?" To address such concerns, we developed the Digital Mentor Service of National Qualification. It leverages massive data on national qualification tests to identify each individual's weaknesses and why they fail. It also provides personalized information by matching examination history with jobs and training offered by government agencies. Supporting test takers from skills assessment and development to job placement.