The digital economy is booming in Medellín. So is digital tax evasion. To identify potential tax evaders, the local treasury department used to detect unregistered online stores manually. Since the use of social media for economic activities has grown exponentially, the agency has now developed a bot that automatically scrapes Instagram for such stores - and officers can use their time instead to work with store owners to formalize their businesses.
To encourage data-driven decision making in public sector, University of Latvia and Microsoft Innovation Center developed a “Data challenge” platform and methodology. Aim of the initiative is to bring together teams of public sector officials and data analysts and in few weeks to create several AI solution prototypes for a specific public sector challenge giving the organisation an opportunity to explore innovative, data-driven solutions that they eventually can develop and implement in practice
Make.org est une plateforme européenne de mobilisation citoyenne autour d’actions de transformation de la société. Dans ce cadre, Make.org développe une solution digitale de consultation massive, totalement inédite, capable de faire participer autour d’une question simple d’intérêt général, plusieurs milliers de citoyens, dans plusieurs langues, et de restituer les résultats de cette consultation en ligne, de manière quasi instantanée. Cette solution est complétée des ateliers en présentiel.
Converlens emerged from the Australian government’s 2017/18 Business Research and Innovation Initiative (BRII) "Digitally enabled community engagement in policy and programme design" challenge. The BRII challenge linked into OGP Australia’s first National Action Plan. Deploying artificial intelligence (AI) to provide a smart layer of qualitative natural-language processing techniques (NLP), Converlens assists people in government to excel at managing the submissions and communications process.
Transport Canada has piloted the use of Artificial Intelligence (AI) to perform risk-based oversight by scanning Pre-loading Advance Cargo Information (PLACI) to identify potential air cargo threats (i.e. “bomb-in-a-box” scenario). By using AI to perform this function, there is potential for Transport Canada to save 1,000’s of hours and conduct risk assessments on all air cargo shipments coming from abroad -- in real-time.
Open policy-making is an opportunity for government and stakeholders to move from linear, polarized, single-issue, interest-based considerations to interactions that are networked, collaborative, opportunity-based and where complexity is viewed as an asset. Adapted for the Government of Canada context, Pol.is is a cost-effective and highly scalable, digital engagement platform that can be used as part of broader strategies to put people and robust evidence at the heart of government decisions.
The frameworks for creating and managing the rule of government, as reflected in policies, legislation and regulation, are still based on a paper paradigm. In a digital world this creates poor service experiences and often the intent of a policy is not achieved. Instead if we co-design authoritative machine-consumable rules we can provide better services for citizens, better delivery of policy intent, and enable communities, NGOs and private sector to be part of a government service ecosystem.
The information on the different procedures of access to benefits is scattered among many different agencies websites, whereas the platform "Apoyos del Gobierno" aims to simplify through Artificial Intelligence that any interested party can consult the details of Federal Government programs in a single place.
Based on neurolinguistics analysis, the platform not only provides predicted results considering relevant contextual words, but also enhances searches considering the user’s profile.
The Specialized Inspection Agency of Tuv Province and the Government of Mongolia Feasibility Study and piloted a project called “Counterfeit drug detection using Blockchain and AI” to eliminate fake drugs from the market, and save the thousands of lives. The project will increase safety and transparency of the drug industry, tracing the pharmaceutical supply chain in Mongolia, as well as globally.
The Queensland Government is using machine learning and computer vision to automatically map and classify land use features in satellite imagery. Successfully applied to the mapping of banana plantations, the method is extremely efficient compared to current methods of mapping compilation. Using this technology the Queensland Government can accurately map and classify the land use in a timely manner, aiding response to biosecurity and natural disaster events.