International Association for Statistical Computing

International Association for Statistical Computing
Name	International Association for Statistical Computing
Abbreviation	IASC
Formation	1977
Headquarters	Bern, Switzerland
Parent organization	International Statistical Institute

Contents

International Association for Statistical Computing is an international association affiliated with the International Statistical Institute that promotes research and practice at the intersection of statistics and computer science by fostering collaboration among practitioners, educators, and researchers. The association acts as a hub linking communities represented by organizations such as the Royal Statistical Society, the American Statistical Association, the Institute of Electrical and Electronics Engineers, and the Association for Computing Machinery, while maintaining connections to academic institutions like University of Cambridge, Stanford University, ETH Zurich, and University of California, Berkeley. Through conferences, publications, and regional chapters, the association helps bridge topics exemplified by work at Bell Labs, IBM Research, Microsoft Research, Google Research, and Toyota Central R&D Labs.

History

The association traces origins to initiatives within the International Statistical Institute during the 1970s when computing platforms from IBM and DEC catalyzed new statistical computing methods used by researchers at Princeton University, Massachusetts Institute of Technology, and University of Chicago. Early milestones include coordination with organizations such as the Institut de Statistique de l'Université de Paris and collaborations mirroring efforts at CERN and Los Alamos National Laboratory. Influential figures from institutions like Johns Hopkins University, Columbia University, University of Oxford, and University of Tokyo contributed to formative workshops that paralleled conferences like the International Congress of Mathematicians and the World Congress on Risk. Over decades the association evolved alongside software projects originating at Bell Labs, AT&T Laboratories, SAS Institute, and packages developed at Carnegie Mellon University and University of California, Los Angeles.

The association's objectives include promoting statistical computing research, enhancing educational opportunities, and supporting software development. Activities mirror programs run by entities such as the European Mathematical Society, International Biometric Society, Society for Industrial and Applied Mathematics, and Royal Statistical Society: organizing symposia similar to sessions at the Joint Statistical Meetings and joint initiatives with groups such as the International Federation of Classification Societies and the Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining. The association supports computational topics linked to projects at NASA, European Space Agency, World Health Organization, and United Nations agencies, encouraging work that intersects with technologies from NVIDIA, Intel, ARM Holdings, and algorithms popularized by researchers at DeepMind, OpenAI, Facebook AI Research, and Google DeepMind.

Governance follows structures comparable to the International Mathematical Union and the Royal Society with an elected executive committee, officers, and advisory panels drawing members from institutions like University of Toronto, McGill University, University of Melbourne, and University of Hong Kong. Membership categories reflect models used by the American Mathematical Society and the Institute of Electrical and Electronics Engineers with ordinary, student, and institutional memberships sourced from universities, national statistical societies such as the Statistical Society of Canada, the Brazilian Statistical Association, the Royal Statistical Society, and governmental agencies including Eurostat and Statistics Canada. The association liaises with committees similar to those at the International Labour Organization and the Organisation for Economic Co-operation and Development for applied statistical computing projects.

The association organizes a flagship biennial conference comparable in stature to the Conference on Neural Information Processing Systems and coordinates workshops and satellite meetings akin to those held by the International Conference on Machine Learning and the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. It frequently collaborates with venues such as University of Cambridge, ETH Zurich, University of Bologna, National University of Singapore, and Tsinghua University and aligns sessions with major gatherings including the International Congress of Mathematicians and meetings of the International Statistical Institute. Special topic meetings have been held in partnership with laboratories like Los Alamos National Laboratory and research centers such as Royal Holloway, University of London and institutes associated with National Institutes of Health.

The association sponsors and endorses publications and special issues in journals comparable to Journal of Computational and Graphical Statistics, Statistical Computing and Data Analysis, and proceedings similar to those published by the Institute of Mathematical Statistics and the IEEE; it also partners with university presses such as Oxford University Press and Cambridge University Press for edited volumes. Awards recognize achievements in statistical computing analogous to prizes from the Royal Statistical Society and honors given by the American Statistical Association, celebrating contributions made by researchers affiliated with Imperial College London, Harvard University, Yale University, and Seoul National University.

Regional and national chapters reflect structures found in the European Mathematical Society, the American Statistical Association, and the International Biometric Society, operating within countries and regions such as Japan, India, Germany, France, Brazil, South Africa, and Australia. These chapters coordinate local meetings at institutions like University of Tokyo, Indian Statistical Institute, University of São Paulo, University of Cape Town, and Monash University, and they foster collaborations with national bodies such as the Statistical Society of Australia and the Deutsche Statistische Gesellschaft.

Category:Statistical computing organizations