At a time of accelerated growth and ubiquity, connectivity technologies like AI and quantum computing allow us to find ourselves anywhere quickly. The most important question to ask is therefore where exactly do we want to be.
Some platforms know exactly what series you would like to watch today based on your previous preferences and when to display you an advertisement for a baby chair before you even know that you need one. Imagine that a city knows for you and in real-time who is worth meeting so that you can develop as an expert, and which team needs your key competencies so that you can be hired immediately.
As we are more conscious of ourselves and our goals, the world is responding to our actions with more synchronicity. It is one basic and very old knowledge based on the concept of the subconscious and selective perception. What’s more, psychology elaborates that the main factor of satisfaction with a certain situation is the set of relationships with the environment and people that suit us best.
For one good relation set will be a quiet desk and a world of numbers and tables, for the other it will be an energetic communication with others towards an ambitious aim of changing the world. In separated ontologies, those types can be described and classified differently. We are diverse in so many many ways that there is no perfect system that would describe precisely what makes us unique. Nevertheless, some systems are pretty well adjusted, enough to make them a part of our language or part of smart city competencies’ platform, and even to use them to help navigate citizens through activities and events.
In my dream, cities of the future help us adapt the outside world to our deep needs. The main component of a smart city is not a network of external sensors, but a deep radar of our internal needs which looks deep into our psyche and soul. Doesn’t that fit the slogan of the technocratic city?
In our living lab in Wroclaw, we worked with young people on solutions to help them with the new labor market. We tested there the latest achievements of psychology and a new approach to motivation and interpersonal development of young students.
We used our imagination to create a city-wide game that was about defeating the mythical anti-creator by working together to develop creative skills. During the one year process we tried to answer many questions: How to apply the national qualifications framework in an accessible form? Who will be good programmers? Who will never become one? How to change thinking about the city and its role? How to recognize talents at an early stage? How can we build qualities such as leadership, commitment, and entrepreneurship?
Cities need to take immediate action towards mapping and supporting digital and future-proof competencies and approaches.
On the one hand, we helped students get to know each other better, and on the other, internalized with a multilevel transformation of the external world. We used to work on paintings, create our own icons, debate with experts. We also required communication of our own interpersonal discoveries. We created personal websites, business cards, and team presentations. It helps us (and the platform) to understand each one’s unique feature and potential roles.
The final stage was to create a small project as a team for one of the local companies or an NGO. Communication with a peer group was just as important as the flow of information with the career adviser and mentors platform. We set up the framework of internal game paths of development and individual competencies.
In the future, artificial intelligence can also be an important player in the ecosystem, so we need to communicate our needs and intentions understandable for its language so that it can help in suggesting the path to achieving our personal goals. We discover that badges and icons can be a great tool to build a common language between different actors. The results of the project evaluation gave outstanding results. Over 60% of people felt closer to the group, which is a good help in the circumstances of growing alienation in the digital and mobile world. Most participants realized their own needs and dreams and made the first step to fulfill them. At the end we replicated and simulated talks with future employer HR, to give a chance to newly acquired competences Our model has been recommended for implementation across the country. However, I feel that hardly anyone in the technology sector understands the importance of soft technologies in the ecosystem of an intelligent country and city.
Even if it is underlined in the newest digital strategies for the EU there is no solution to support mass talent evaluation and constant mapping process. The core element of the Smart Cities Polska vision and strategy is to build smart cities on social capital and supporting it by delivering digital tools for competencies diagnosis and places for meetings and collaboration.
The next stage of our journey will be to conduct an experiment with our living lab on a larger scale and improve the technologies behind the group management and development processes of joint projects. Our new team members will be experts in artificial intelligence, bots, and e-learning platforms. We also want to start international cooperation, hence the translation of our working method into Russian and English.
What I have learned about myself during the project:
The test confirms that I am a participant characteristically (Factor S’) so I want to participate in culture and values, and a technician personality (Factor V’) so I want to gain the know-how to act efficiently. Temperamentally, I am averse to the group (Factor -O) and matter (Factor M) so I act as an independent analyst.
Does my current work fulfill my personal relationship needs?
The role of the coordinator of teams dealing with the development of systems for cities is in line with my social and technical needs. I work on both theoretical models and on occasionally while networking with people. In a living lab environment, I can work with young people so I can meet and recognize my participation needs.
This is a good predictor of satisfaction and harmonic career. Everyone is different, and we need to know how to team up in new teams in a very fast manner by using one language and methodology linked with AI This self-knowledge is enough to precisely match potential roles in the ecosystem and team behavior.
Using the latest methods, it takes less than 15 minutes to see myself structure with great precision. It is easier than quantitative tests based on questions like popular methodology DISC or MBTI, although the results are correlated.
If you would like to improve your city with talent discovery and competencies mapping tool please ask me how we can cooperate: email@example.com