Case Study Library

Singapore Land Authority (SLA) manages about 7,700ha of state land, 150 vacant state buildings and 10 offshore islands. Given the scale of work, which is exacerbated by declining manpower, SLA urgently needs to augment current operations with technology and its ONE digital ecosystem (ONE) does just that. ONE is a ground-up initiative to leverage drones, machine learning, geospatial technology, applications, etc. for a synergistic and holistic management of vacant state land and buildings.

The Innovation Compass/Recorder helps to better understand enabling factors for public sector innovation and to support governments in identifying fields for improvement and in sharing good practice across institutions and borders. The Innovation Compass builds on the experience from the Scandinavian region, based on statistical surveys and reflective self-assessment. It was developed by a cross-sector network in Germany, Austria and Switzerland.

The imIN-hub aims to envision health services for the citizen of tomorrow. It focuses on developing and adapting towards innovation products, services and training in the areas of eHealth, ICT, Mobile, AI, and Robotics. The project aims to take targeted actions to achieve a digital health model closer to citizens at every stage of their life. The imIN-hub seeks to be the backbone of health innovation in Portugal while working on internal innovation of the national public health company (SPMS)…

The last field survey done in the UAE was in 2005 and since then the Ministry has been relying heavily on statistical data from the 2005 survey, thus creating the need to have a new agricultural survey done with high accuracy, speed, and low cost. A drone-enabled aerial mapping system was used to generate high-resolution highly efficient aerial data over 1100 square kilometre within 12 months, at a cost of less than five times the cost of a field survey, and obtaining 52 parameters statistical…

Public education systems around the world are struggling to find their way to innovate. Top-Down reforms have failed to achieve the needed transformation. Mifras has created and successfully implemented an innovative model to transfer schools into hubs of educational innovation. With a focus on supporting school administrators to establish an intrapreneurial culture and ensure sustainability of innovation developed for continued creation of relevant education ventures at their schools.

A growing number of challenges face the province from an aging population and growing debt to successive one-term government and a disengaged public service. Given these challenges, there is a growing consensus in the public service that change is needed despite organizational structures and behaviours that favour the status quo. As a result, GNB’s “Innovation and Design services” has evolved to help public servants become better problem solvers and move towards a more human-centred…

Taking a course and a comprehensive driving test has not been a mandatory requirement to issue a driver's license in Mexico City and implementing such a system is not simple. The City is building institutional capabilities to effectively implement mandatory courses and tests to improve road safety. Meanwhile, SEMOVI has modified the issuing license form to nudge applicants into feeling co-responsible for road safety and refraining from driving if they deem themselves incapable of doing it…

Tiger Team is a monthly cross-corporate super team of 25+ passionate people to boldly tackle problems in the administration and city. This collaborative experiment brings together staff, citizens, and community stakeholders for 2.5 hours to understand and explore complex problems, generate ideas and prototype solutions to test with users. By bringing together these diverse perspectives Tiger Team is able to compress timelines, find unexpected solutions, identify change makers, and break down…

Fotocívicas is a behaviourally inspired traffic control system that relies on educational and civic fines aiming to transform drivers’ behaviour by reducing recidivism and licensing effect among offenders. It sets out to change the previous system, which was based on monetary fines with cameras placed where drivers were more prone to speed, not where more fatalities happened, without improving behaviours or road safety

The Rosselkhoznadzor has developed an artificial intelligence model that can detect violations in all production chains of animal products in order to reduce the proportion of counterfeit and falsified products of animal origin on the market as much as possible. The innovation is beneficial to a healthy society, conscientious agricultural producers and the state. Artificial intelligence methods for detecting violations have not been previously applied by the Rosselkhoznadzor.