In the new research and innovation (R&I) paradigm, aimed at a transformation towards more sustainable, inclusive and fair pathways to address societal and environmental challenges, and at generating new patterns of specialisation and new trajectories for socioeconomic development, it is essential to provide monitoring systems and tools to map and understand the contribution of R&I policies and projects. To address this transformation, we present the RIS3-MCAT platform, the result of a line of work aimed at exploring the potential of open data, semantic analysis, and data visualisation, for monitoring challenge-oriented smart specialisation in Catalonia. RIS3-MCAT is an interactive platform that facilitates access to R&I project data in formats that allow for sophisticated analyses of a large volume of texts, enabling the detailed study of thematic specialisations and challenges beyond classical classification systems. Its conceptualisation, development framework and use are presented in this paper. Keywords: open data, research and innovation policy, smart specialisation strategies, text mining, data visualisation, scientometrics 1. INTRODUCTION The challenges posed by globalisation, technology, climate change, and the COVID-19 pandemic require significant changes in our way of living. Although large transition costs are associated with a successful attainment of all those challenges, the potential opportunities brought about are enormous (Bigas et al., 2021).

Competitive salary and perks The revolution starts with small things: driving EVs, taking profit from renewable energy sources to avoid fuel... At Wallbox we work to make the world greener! We create smart charging systems that combine innovative technology with outstanding design and manage the communication between vehicle, grid, building, and charger. We work with electric cars, build smart chargers, use solar panels and inverters and integrate everything into solutions for users around the world. Founded in 2015 as a Barcelona based start up, we have since grown to over 1000 Wallboxers from over 45 nationalities with a presence in Europe, Asia and the Americas!

If you read my work you probably know that I publish my articles first and foremost in my AI newsletter, The Algorithmic Bridge. What you may not know is that every Sunday I publish a special column I call "what you may have missed," where I review everything that has happened during the week with analyses that help you make sense of the news. Semafor reported two weeks ago that, if everything goes according to the plan, Microsoft will close a $10B investment deal with OpenAI before the end of January (Satya Nadella, Microsoft's CEO, announced the extended partnership officially on Monday). There's been some misinformation about the deal which implied that OpenAI execs weren't sure about the company's long-term viability. Leo L'Orange, who writes The Neuron, explains that "once $92 billion in profit plus $13 billion in initial investment are repaid to Microsoft and once the other venture investors earn $150 billion, all of the equity reverts back to OpenAI."

"Barcelona has triumphed over Madrid as Spain's startup capital because of the deal flow and the talent," explains Miquel Martí, Tech Barcelona's CEO. "International talent is attracted by the lifestyle, the strength of the ecosystem, and the presence of international companies." According to Barcelona & Catalonia Startup Hub--the region's startup directory--there are over 1,900 startups in Catalonia, mostly concentrated in Barcelona; since 2016, the number has grown by over 75 percent. The city has long had a strong tradition of health-tech startups fueled by university and regional government collaboration, but successful founders have been funding, supporting, and starting other companies, as well as diversifying into construction, mobility, and sustainability. There's also been a slow trickle of fintech companies from London, lured by post-Brexit border-free banking, good weather, a lower cost of living--and the beach.

The traditional approach to statistical disclosure control (SDC) for privacy protection is utility-first. Since the 1970s, national statistical institutes have been using anonymization methods with heuristic parameter choice and suitable utility preservation properties to protect data before release. Their goal is to publish analytically useful data that cannot be linked to specific respondents or leak confidential information on them. In the late 1990s, the computer science community took another angle and proposed privacy-first data protection. In this approach a privacy model specifying an ex ante privacy condition is enforced using one or several SDC methods, such as noise addition, generalization, or microaggregation.

Abzu, a startup founded simultaneously in Barcelona and Copenhagen in 2018, has closed a €6-million round of investment. Participants included international venture capital funds from the Nordic countries like Seed Capital, Inventure and PreSeed Ventures, as well as several business angels. Abzu offers an artificial intelligence platform that allows users to make precise predictions and find mathematical solutions to complex problems, which facilitates decision-making for researchers and speeds up clinical studies and drug development. Elizabeth Gil-Roldán, head of Business Development at Abzu in Barcelona, explains that this funding will go towards "strengthening the development team for the technology product, located mainly in Barcelona, and reinforcing its commercial strategy and academic collaborations." The company currently has 18 employees and expects to have a staff of 30 by the end of 2021.

At this turbulent time for the economy, the viability of many companies depends on their commercial efficiency. The huge volume of data they generate is an opportunity to turn this information into knowledge that will help them come up with more efficient and competitive commercial solutions. Decision Making project is being led by UOC researcher and the Falset Marçà Agricultural Cooperative in conjunction with Centre Vinícola del Penedès and the Federation of Agricultural Cooperatives of Catalonia, and is funded by the European Agricultural Fund for Rural Development and the Ministry of Agriculture, Livestock, Fisheries and Food of the Government of Catalonia. According to Xavi Domènech, manager of the Falset Marçà Cooperative and a graduate of Computer Engineering from the UOC, "Companies today amass enough data to be able to take much more calculated commercial decisions than they are generally taking. Personalizing their commercial structure and equipping it with rigorous methods and processes is key to guaranteeing their survival. We believe that supporting this process by introducing the intelligence of analytics can be a differentiating factor."

Catalonia Living Lab, a public-private project for the development of CAVs, and Aurora Snowbox, the Finnish testing organization, have reached an agreement to collaborate on test drives of connected and automated vehicles on public roads. Noting that there is an imminent need for public road test drives in all weather conditions (including summer and winter), the organizations have agreed to team up for the next two years. The alliance is expected to be mutually beneficial in strengthening the services provided by both entities and expanding their activities in the field of connected and automated vehicles. As a first step in their collaboration, both companies have aligned their service portfolios and marketing strategies to ensure an identical user experience on both test beds. A strategic analysis performed within the framework of Catalonia Living Lab resulted in the identification of a series of objectives for testing of CAVs on public roads.

It can no longer be denied that Artificial Intelligence is having a growing impact in many areas of human activity. It is helping humans communicate with each other--even beyond linguistic boundaries--, finding relevant information in the vast information resources available on the web, solving challenging problems that go beyond the competence of a single expert, enabling the deployment of autonomous systems, such as self-driving cars or other devices that handle complex interactions with the real world with little or no human intervention, and many other useful things. These applications are perhaps not like the fully autonomous, conscious and intelligent robots that science fiction stories have been predicting, but they are nevertheless important and useful, and most importantly they are real and here today. The growing impact of AI has triggered a kind of'gold rush': we see new research laboratories springing up, new AI start-up companies, and very significant investments, particularly by big digital tech companies, but also by transportation, manufacturing, financial, and many other industries. Management consulting companies are competing in their predictions on how big the economic impact of AI is going to be and governments are responding with strategic planning to see how their countries can avoid staying behind. Although all of this is good news, it cannot be denied that the application of AI comes with certain risks. Several initiatives have been taken in recent years to better understand the risks of AI deployment and came up with legal frameworks, codes of conduct, and value-based design methodologies.

Along with their itchy bites, they spread serious diseases, like malaria, dengue or zika, which, as Microsoft co-founder Bill Gates has pointed out, kill more people every day than sharks have managed to do in an entire century. A Yale report released last year also suggests that climate change is going to make the problem worse. So, having early detection systems to promptly deploy preventive controls is crucial to protecting people. The Institute of Agrifood Research and Technology (IRTA) in Catalonia, Spain, has started to use artificial intelligence (AI), sensors, and satellite communications to automate the process of trapping mosquitoes and classifying them according to species, sex, age, and their potential for causing infection. Traps are not a new control technique.