Awards

Mahalanobis International Award

This award is sponsored by the Government of India. It is awarded to a statistician from a developing country in recognition of lifetime achievements in Statistics and the promotion of best statistical practices in a developing country or countries.

Mahalanobis International Award 2023:
Call for submissions

Founders of Statistics Prize for Contemporary Research Contributions

This prize recognises a contemporary research contribution, published within the last three decades, that has had profound influence on statistical theory, methodology, practice, or applications. The prize is sponsored by Elsevier B.V.

Founders of Statistics Prize 2023:
Call for submissions

Jan Tinbergen Competition for Young Statisticians

This award is for best papers by young statisticians addressing statistical problems of real relevance in building statistical capacity in countries with limited statistical infrastructure.

Jan Tinbergen Awards 2023:
Call for submissions

International Prize in Statistics

This prize is given every other year by the International Prize in Statistics Foundation, which is comprised of representatives from the American Statistical Association, International Biometric Society, Institute of Mathematical Statistics, International Statistical Institute and Royal Statistical Society.

ISI & Esri Student Poster Competition

The competition was launched in 2018 with the aim to promote research, encourage spatial thinking and Inspire curiosity about statistical spatial analysis, geographic patterns, and geocomputing.The competition is sponsored by Esri and ISI. Prizes are awarded to first, second and third-place participants. The awards ceremony takes place during the ISI World Statistics Congress.

Service awards

These are awarded for outstanding service to the ISI and the statistical community. Winners are selected by the EC.

Former Karl Pearson Prize

The Karl Pearson Prize was formerly named after one of the Founders of statistical science, whose many contributions include the chi-square test for goodness of fit, the principal component method of dimension reduction, and the method of moments for statistical estimation.