The Amrapali Zaveri Awards for Data Science 2025
Amrapali Zaveri (1984-2020) was a postdoctoral researcher at the Institute of Data Science. Amrapali’s pioneering research focused on exploring ‘the optimal combination of humans and machines towards data quality assessment’.
She believed that we can expand the store of valuable knowledge by learning from artificial intelligence, but that humans are needed ‘in the loop’ to make sure that machine models are fed accurate, reliable, and reproducible data. Her research was destined to have a wide impact on health care research, industry, and developments in machine learning.
Amrapali was also a strong advocate for diversity in the field of data science, as shown by her initiative to organize the first Women in Data Science event at Maastricht University in 2020.
The Amrapali Zaveri Award (AZA) 2025
The Amrapali Zaveri Award aims to recognize scholars for their contributions to the field of data science. This year (2025) we will present only 1 award: The Amrapali Zaveri Award for Early Career Data Scientist (for Ph.D. students and Postdocs)
Nominations for the Amrapali Zaveri Award for Data Science will be assessed by the awards committee, according to the candidate’s contributions to education, mentorship, research, advocacy, and/or community building. Additional consideration will be given to the candidate’s contributions to advancing the engagement of underrepresented minorities in data science.
Nominations
Nominate an Early Career Data Scientist
Do you know an early career researcher who inspired you and is a real ambassador for data science? Nominate a Ph.D. student or postdoctoral researcher by filling in this form. The deadline is Tuesday 20th May 2025.
Winners AZ Awards 2024
Last year's winners of the Amrapali Zaveri Awards were Meike Thijsen (Future Data Scientist) and Denise Slenter (Early Career Data Scientist). Congratulations!
Coordination
This year, the Amrapali Zaveri Awards for Data Science are coordinated by Anna Schüth and Bernice Breuer. The prize is partially funded by Aspasia-NWO (Grant 91716421).
