Learn
People learn about AI and data, and their relevance to themselves and their local context.
Research
People use their knowledge to dive in and understand how to use AI and data in their own interest and of society.
Innovate
People use their understanding of AI and data to build people-centric and society-centric innovative applications.
What is DataScientia?
DataScientia is an initiative whose main aim and purpose is to contribute to and influence the future technological evolution of Artificial Intelligence (AI) as it applies to everybody and everything, people, society and the world at large. AI research and innovation is the process, humans and society are the goal, data is the means. DataScientia aims to enable a process by which people
- learn about AI and data, and their relevance to themselves and their local context.
- consciously collect data about themselves and their local context
- share the knowledge they develop, according to their diverse cultures and perspectives.
Within DataScientia, the people collecting data, the educators, the objects described by data, the scientists learning how to make the best use of data and also the innovators exploiting them are the citizens themselves.
The DataScientia Ecosystem
The DataScientia Community
DataScientia is a community of people who are interested in contributing to, learning about, and influencing the future technological evolution of Human-Aware Artificial Intelligence (AI) as it applies to them and to society. You do not need any specific skills to become a member. The only requirement is that you be willing to learn about data, AI, and their impact on society.
Education
Artificial Intelligence develops at a rapid pace, introducing new changes every day in response to needs we are not sure we have. Every new technology brings the challenge to adapt or give up, some of us think that change will not affect them. Yet AI is already in our daily lives, from search engines to social media, smartphones and chatbots we have interacted with in search of support.
Projects
Our projects span diverse areas, including LiveData, LivePeople, LiveLanguage, and LiveKnowledge. These initiatives gather data on human behavior, linguistic diversity, and knowledge resources. Through global partnerships, we create open-access datasets that uncover insights into daily life, cross-lingual semantics, and more, driving real-world discoveries.
Services
DataScientia strongly believes that the generation of new knowledge and progress, starts from sharing. Sharing data enables a circular benefit for each single person who is interested in the value of the data. The DataScientia objective is to provide a set of services that fully respect its key principles about data, its ownership, and its representation.
More About Us
What do we do?
DataScientia supports the collection, sharing and usage of person-centric data as a common good, in the interest of people and society at large. By person-centric data, we mean suitably anonymized personal data, data about the culture, milieu, and events around us, as well as the language(s) we speak and the knowledge that allows us to interpret and compose the data we collect.
Person-centric data will be used towards the generation and dissemination of knowledge concerning individuals, society, and the world, as perceived and articulated by people. We want to analyze and comprehend the variances in interpretation. The aim is to uncover the deeper unity that underlies diversity, allowing us to delve beneath surface differences.
Our Partners
We collaborate with partner universities worldwide, driving AI innovation at an unprecedented pace. Our approach integrates education, research and technology innovation, under the main drive of social innovation. Partner universities play a crucial role in our activities, enabling impactful projects. Together, we’re reaching communities globally, fostering research and innovation for a better future.
Insightful Living Through iLog
Introducing iLog, your personal guide to understanding and enhancing your daily habits through data.
Interested?
Get involved and start a project.