RVO Launches New Funding Round for AI and Digital Skills
den haag, dinsdag, 14 oktober 2025.
The Netherlands Enterprise Agency (RVO) has opened a new funding round for projects within the Digital Europe Programme, focusing on artificial intelligence (AI), data, cloud, and digital skills. Companies and organisations can now apply for subsidies until 2027. The application periods and budgets are listed on the RVO website, including €10,289,000 for European Digital Innovation Hubs (EDIHs). This offers a unique opportunity to fund innovative projects and accelerate digital transformation.
New Funding Round for AI and Digital Skills
The Netherlands Enterprise Agency (RVO) has opened a new funding round for projects within the Digital Europe Programme, focusing on artificial intelligence (AI), data, cloud, and digital skills. Companies and organisations can now apply for subsidies until 2027. The application periods and budgets are listed on the RVO website, including €10,289,000 for European Digital Innovation Hubs (EDIHs). This offers a unique opportunity to fund innovative projects and accelerate digital transformation [1].
Applications of AI in Modern Public Information
Artificial intelligence (AI) is playing an increasingly significant role in modern public information and communication. Specific applications include personalised information provision, chatbots for public services, and AI-driven information campaigns. These technologies help reach various target groups, improve information delivery, and measure the effectiveness of information campaigns [GPT].
Personalised Information Provision
One of the most notable applications of AI in public information is personalised information provision. By analysing data, AI can tailor content to the specific needs and interests of individuals. This leads to better engagement and understanding of the information. For example, local governments use AI to inform citizens about relevant laws and regulations, municipal services, and events, resulting in a more engaged and informed population [GPT].
Chatbots for Public Services
Chatbots are another important application of AI in the public sector. These automated chat assistants can answer questions, fill out forms, and provide information 24/7 without breaks. This reduces the workload on human staff and improves the efficiency of public services. An example of this is the chatbot used by the Municipality of Amsterdam, which helps citizens apply for permits and report issues [GPT].
AI-Driven Information Campaigns
AI can also be used to design and execute information campaigns. By analysing data on target groups, campaigns can be tailored to specific segments of the population. This increases the effectiveness of communication and ensures that the message resonates better. Additionally, AI provides the ability to measure the impact of campaigns in real-time and make adjustments, leading to continuous improvement [GPT].
Benefits and Challenges
The application of AI in public information offers several benefits, such as improved engagement, personalisation, and efficiency. However, there are also challenges to consider. Privacy is a critical issue, as AI often uses personal data to personalise information. Moreover, inclusivity is a concern, as not all citizens have equal access to or familiarity with digital technology. Finally, reliability is a factor, as AI systems can sometimes make errors or be misused [alert! ‘privacy, inclusivity, and reliability are complex topics with many variables’] [GPT].
Practical Examples
There are already several successful applications of AI in public information. In the United States, the CDC (Centers for Disease Control and Prevention) uses AI to provide real-time information about health risks and preventive measures. In Europe, the European Commission is working with local governments to integrate AI into their communication strategies, aiming to make complex information accessible to diverse target groups [GPT].
Conclusion
The application of AI in modern public information and communication offers many opportunities to improve information delivery and better reach various target groups. Although there are challenges such as privacy, inclusivity, and reliability, these technologies remain a crucial tool in the pursuit of better and more efficient communication [GPT].