- Terms and Conditions
- Registration form
- Scientific committee
- Former awardees
The aim of the Why R? Foundation is to reinforce the growth of data science in Poland by keeping it balanced and diverse. To do so, since 2018 Why R? Foundation is distributing the Why R? Supporting Grant for Woman in Data Science. The idea is not only to aid exceptional female data scientists but also to showcase them as role models to the whole community.
- Grant Applications should be submitted through a dedicated form by 16th August 2020.
- Grant Holder selection information will be published by 20th September 2020 on the Why R? Foundation’s website.
Grant Applicants will be notified about decisions by an e-mail.
Terms and Conditions
Terms and Conditions of award and disbursement of Why R? Foundation grants for exceptional women scientists from the field of data science are available here
If you want to apply for the grant please fill this form
- Michał Burdukiewicz (Wroclaw R User Group, Why R? Foundation)
- Marta Karas
- Marcin Kosiński (Warsaw R User Group, Why R? Foundation)
- Barbara Sobkowiak (Women in Machine Learning and Data Science Poland)
- Jakub Stefański (McKinsey & Company - Associate Partner)
- Daria Szmurlo (McKinsey & Company - Data Science Consultant & Analytics Hub Leader)
We are glad to announce that one of this year’s WhyR Supporting Grants will be sponsored by McKinsey & Company.
McKinsey Analytics in Poland combines advanced data analytics solutions with in-depth industry and business knowledge, including multiple sectors such as commerce, banking, insurance, telecommunications, industrial production and heavy industry. McKinsey data scientists and architects, together with machine learning and data engineers, complement strategic and operational consulting and provide clients with advanced and robust data-driven solutions. McKinsey Analytics experts specialize in many different areas: statistical learning, deep learning, evolutionary and multi-criteria optimization, multi-agent simulations, game theory, reinforcement learning, advanced econometrics, causal & Bayesian inference, uplift modelling, Explainable Artificial Intelligence, visualization and data engineering.
Terms and Conditions of award and disbursement of Why R? Foundation grants for exceptional women scientists from the field of data science were prepared by Leśniewski, Borkiewicz & Partners. Leśniewski, Borkiewicz & Partners is a modern, boutique law firm with a business approach. LB&P works mainly with clients from IT, TMT and e-commerce areas, both within defined projects and as a comprehensive, ongoing service. The main areas of LB&P specialization are negotiating commercial contracts, mergers, acquisitions and restructuring (M&A), personal data protection, legal support in the field of designing mobile applications, image and personal rights protection, cybersecurity, compliance and taxes. For more details please check a website lbplegal.com or LB&P LinkedIn account.
Hanna Piotrowska (2019)
Hanna is an information designer and has graduated with honors at the Graphic Design Department at the Academy of Fine Arts in Warsaw in 2019.
Her main fields of work include data visualization, branding and design for publishing. Winner of contests such as: The Kantar Information Is Beautiful Awards, HOW International Design Awards, Polish Graphic Design Awards and KTR. She participated in exhibitions in Poland and abroad, such as: „Data in graphics” (Graphic Days Torino in Italy), „Print Control. Best printed matter from Poland” (Design BWA Gallery in Wrocław) and „Gotong Royong” (Centre for Contemporary Art in Warsaw).
She cooperated with: Museum of Modern Art in Warsaw, Museum of Warsaw, Warsaw University of Technology, ERGO Hestia Group, Krytyka Polityczna Publishing House, Data4Cure and others.
Speaker at conferences, such as SatRday Gdańsk 2019 or Digital Cultures 2017. Her main interest are: perception theory, data science and alternative education.
Alicja Gosiewska (2018)
Alicja Gosiewska is a PhD student in Computer Science, keen on machine learning and its applications. She is interested in Interpretable Machine Learning (IML), Automated Machine Learning (AutoML), auditability of predictive models, and bioinformatics.
Packages are bread-and-butter of R, a vital tool that allows R enthusiasts to exchange their creations in an easy and accessible way. Although packages are so useful, their development is always associated with a lot of challenges, including huge time investments. Alicja received the grant for her achievements in the development of the auditor package.