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MAKE THE DIFFERENCE WITH DATA

DIVE IN and get involved!

DataScientia Community


Who are the members of our community?

Anybody can be a member of the DataScientia Community. You do not need any specific skills to become a member. The only requirement is that you must be willing to learn about data, AI, and their impact on society. You can decide the amount of effort devoted as a function of how much and how fast you want to learn.

How can you contribute?

There are at least four different types of contributions. You can choose the one or more which best fit your competence, skills, and interests.

  • The first type of contribution is to support the collection of person-centric data, as needed in one of the many experiments that we set up.
  • The second type, if you have programming skills, is to participate to the open data and open-source community, in charge of development of the AI tools and software which allow DataScientia and its partners to operate.
  • The third type is to become an innovator and help in bringing the DataScientia technology and approach to the market, towards technology enabled social innovation.
  • The fourth type is to help in the management of one of the DataScientia local communities.

How do we help you contribute?

There are four main ways we can help you.

  • The first is that we provide you with educational material and support towards acquiring  the basic notions of data driven AI and its impact on the life of people and on society.
  • The second is that we support you in the collection, management and sharing of the person-centric data you and the overall community generate.
  • The third is that we support you in the use of data and AI towards learning how to understand person-centric data, including those generated by you.
  • The fourth is that we support you in the use of data and AI towards any form of social innovation in compliance with the DataScientia ethical guidelines, for the development of a more inclusive society with a higher quality of life.
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What is a citizen science community?

A Citizen Science Community consists of people who voluntarily help conduct scientific research. Citizen scientists may be involved in various aspects of the research process, e.g., design experiments, collect data, analyze results, and solve problems.

What is DataScientia?

DataScientia is a Citizen Science community of people who are interested in contributing to, learning about, and influencing the future Data-driven Artificial Intelligence (AI) technological evolution, for themselves and for society. Read more...

What do we hope to achive?

We want to enable a process where anybody can increase their level of awareness and active participation in the current data-driven AI technological innovation. Technological innovation should be driven by social innovation, and citizens should proactively participate to the definition of the social innovation agenda. Read more...

THE DATASCIENTIA ECOSYSTEM

Projects

A Citizen Science Community consists of people who voluntarily help conduct scientic research. Citizen scientists may be involved in various aspects of the research process, e.g., design experiments, collect data.

Courses

A Citizen Science Community consists of people who voluntarily help conduct scientic research. Citizen scientists may be involved in various aspects of the research process, e.g., design experiments, collect data.

Data

A Citizen Science Community consists of people who voluntarily help conduct scientic research. Citizen scientists may be involved in various aspects of the research process, e.g., design experiments, collect data.

THE DATASCIENTIA MANIFESTO

Unity through diversity

  1. Data, as they are available in the Internet, are the fuel that is boosting the rise of a new, smarter society that we want to be open, inclusive and enabling a higher quality of life.
  2. Data should be available and reusable at affordable costs by everybody, independently of gender, religion, nationality, level of wealth or any other contingent factor.
  3. Data should properly represent the diversity of the world, as it results from the local culture and traditions, needs and purpose. Data should be expressed in the local languages and should record those facts that are contextually relevant, with the format and values that are most appropriate.
  4. Languages and knowledge should absorb the diversity of data into progressively more unified representations of the world.
  5. Languages and knowledge and data should be developed thanks to the voluntary efforts of the interested parties, each operating in full autonomy.
  6. DataScientia is a non-profit organization whose aim is to support the emergence of a unitary understanding of the world, as represented by data.
  7. DataScientia’s first aim is a technological infrastructure, enabling data-driven AI enabled research and social innovation.
  8. DataScientia’s second aim is the organizational infrastructure, enabling the development and adoption of best practices.
  9. DataScientia’s third aim is the legal infrastructure, dealing, among others, with the issues related to licensing and privacy.
  10. DataScientia’s fourth aim is the social infrastructure, that is, a community centered around the understanding of data, their development and their         exploitation, both social and economic.

DataScientia - Unitas per veritam

“DataScientia”, for “Scientia per Data” the Latin text for “Knowledge through data”.

“Scientia”, from sciens, the present participle of scio, meaning to know, to understand - the same root as conscientia, meaning both knowledge shared with others and knowledge within oneself.

“Data”, the plural of datum, meaning a given, what we take for granted as the basis of our thinking - that we take here to be a digital representation of the world.

“Unitas per Varietatem”, the Latin text for “Unity through Diversity” - How can we reach to the Unity of Knowledge by understanding and thanks to the Diversity of Data?