The Perspektywy Women in Tech Foundation every year acknowledges Top women working in various technologies. The Foundation's aim is to inspire, connect and support women in technologies, science and innovation. In previous years we have created the rankings of TOP 100 Women in AI, Cloud Computing, 5G and Cybersecurity and awarded the TOP 10 in those categories.
With this award we would like to honor the top women in the area of Data Science in Poland: the pioneers who are walking down the paths less taken, who reach further and dare to dream bigger, for whom sky's the limit. We treat Data Science in a broad perspective, looking for women who contribute to the field of data science through groundbreaking studies, who use data analytics, machine learning, and related technologies to drive entrepreneurial success, but also mentors, evangelists and leaders.
The awards will be granted by the jury chaired by Dominika Bettman - General Manager at Microsoft Poland, including experts: Edith Elkind - Professor at the University of Oxford, Katarzyna Szymielewicz – President of the Panoptykon Foundation, Bianka Siwinska - President of the Perspektywy Education Foundation, Piotr Sankowski - CEO at IDEAS NCBR.
This year, the jury of the TOP100 Women in Data Science decided to award an additional distinction - Data Science Icon - for overall research, scientific work, and social impact to Margot Gerritsen, professor (emerita) in the Department of Energy Resources Engineering at Stanford University, interested in computer simulation and mathematical analysis of engineering and natural processes. From the beginning of her career, Gerritsen was determined to change the male-dominated data science environment and created the hugely popular "Women in Data Science Conference", which highlighted the contributions of women in this field around the world. Get to know the outstanding figure of this Data Scientist!
Other categories in which distinctions will be awarded:
Data Science for Good: This award honors those who have used their skills to address pressing social or environmental issues, contributing to the betterment of communities and the world at large.
Data Science Entrepreneurship: This category celebrates individuals who have demonstrated innovative and strategic use of data analytics, machine learning, and related technologies to drive entrepreneurial success.
Applied Business Data Science: This award recognizes individuals who have demonstrated a keen understanding of business challenges and have successfully implemented data-driven solutions to achieve tangible, positive outcomes.
Data Science Research: This category honors individuals whose work has expanded the boundaries of knowledge in data science and inspired further exploration.
Data Science Rising Star: This award celebrates individuals who show exceptional promise, creativity, and dedication, making noteworthy contributions that set them apart as emerging leaders in the industry.
Data Science Education: This award recognizes individuals who have demonstrated excellence in teaching, curriculum development, and educational leadership within the realm of data science.
Data Science Ethics: This category recognizes individuals who have made significant efforts to promote and uphold ethical standards, ensuring responsible and transparent use of data in various applications.
Data Science Distinguished Star: This award honors individuals with a distinguished career marked by sustained excellence, leadership, and significant contributions to the advancement of the discipline.
The categories are initial, depending on the nominations that we get, they might be slightly changed.
