OBJECTIVES

Overarching goal of the IDSOL Foundation

POSSIBILITY

To bring out the latent potential and power of possibility through programs and infrastructure for education in data science and artificial intelligence.

VISION

Long-term direction and guiding principles of the IDSOL Foundation

MORALITY

To address evolving ethical issues in data science and artificial intelligence by promoting cooperation between academia, industry, government, and the people.

ACCESSIBILITY

To provide accessible educational resources and programs to individuals, groups, and organizations of any learning level who are interested in data science and artificial intelligence with first principles thinking.

QUALITY

To help individuals, groups, and organizations build trust and appreciation in data science and artificial intelligence for discouraging populist anti-intellectualism through the empathetic presentation and discernment of data science and artificial intelligence concepts.

COLLECTIVITY

To collaborate with academia, industry, and government to develop and support shared utilities and infrastructure for international and intergenerational initiatives in data science and artificial intelligence. 

MISSION

Medium-term direction and priorities of the IDSOL Foundation for this decade

EMPOWER YOUTH

To help young people find purpose by introducing data science and artificial intelligence in breadth and depth so that they may make informed decisions on their careers.

ENCOURAGE EXPLORATION

To support academic exchanges and international student relationships for school and work in the field of data science and artificial intelligence.

ELEVATE ENTREPRENEURS

To seek out promising data science and artificial intelligence entrepreneurs and provide them with access to resources for prototyping and scaling solutions.

ACTIVITIES

List of core activities of the IDSOL Foundation to support its missions in data science and artificial learning

PROGRAMS

To train, coach, consult, and advise students and young professionals in data science and artificial learning ("programs"); to assist in developing learning assets for programs worldwide; and, to certify programs worldwide.

GATHERINGS

To oversee the delivery and quality of conferences, conventions, and competitions (“gatherings”) that promote exchange and collaboration between data science and artificial learning student and practitioners.

WORKING GROUPS

To develop codes of conduct, best practices, and standards for data science and artificial learning through collaborative dialogue, research, and publications by groups of individuals and entities from academia, industry, and government ("working groups").

INFRASTRUCTURE

To develop and support a public utility for helping students and practitioners develop responsible data science and artificial intelligence applications, solutions, and infrastructures ("infrastructure").

PUBLICATION

To collect and curate a constellation of ideas, knowledge, research, developments, and other useful things on data science and artificial intelligence areas, through scholarly protocols.

POLLINATION

To work with a curated network of founders and funders that would accelerate the development of data science and artificial intelligence startups in the community.

Key Personnel

The IDSOL Foundation is an EU non-profit organization staffed by nationals worldwide

Viktor Tabori

President, Science-Technology Council

Maryna Danylyuk

President, Socio-Economic Council

Gabriel Chan

Secretary-General, General Secretariat

Richard John

Convenor, IDSOL 2024 Organizing Committee