This article was accepted into the corpus but its outbound wikilinks were never NER-processed — typical at the deepest BFS hop or when the run's entity cap was reached. No expansion funnel to show.
| Conference on Data Processing | |
|---|---|
| Name | Conference on Data Processing |
| Status | Active |
| Discipline | Computer science; Information technology |
| Frequency | Annual |
| First | 1978 |
| Organizer | International Data Processing Association |
| Country | International |
Conference on Data Processing
The Conference on Data Processing is a recurring international symposium that convenes researchers, engineers, and practitioners from institutions such as Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, Imperial College London, and ETH Zurich to present advances in data handling, storage, and analysis. Established with participation from organizations including International Telecommunication Union, IEEE, Association for Computing Machinery, National Science Foundation, and European Research Council, the conference fosters collaborations among contributors from Google, Microsoft Research, IBM Research, Facebook AI Research, and Amazon Web Services.
The Conference on Data Processing brings together communities represented by SIGMOD, VLDB Endowment, NeurIPS, ICML, and AAAI to address challenges spanning from Apache Hadoop ecosystems and Spark (software) frameworks to advances influenced by projects like Human Genome Project, Large Hadron Collider, Square Kilometre Array, CERN, and European Organization for Nuclear Research. Participants include delegations from National Institute of Standards and Technology, Data Science Institute (Columbia University), Berkeley Artificial Intelligence Research, Oxford University Computing Laboratory, and corporate labs such as DeepMind, OpenAI, NVIDIA Research, Intel Labs, and Samsung Research.
The inaugural meeting was convened in 1978 with contributors from Bell Labs, RAND Corporation, AT&T, Stanford Linear Accelerator Center, and Los Alamos National Laboratory alongside representatives from United Nations Educational, Scientific and Cultural Organization and World Bank. Throughout the 1980s and 1990s, the conference grew alongside milestones like Relational database, SQL, UNIX, Internet Engineering Task Force, ARPANET, and efforts at Massachusetts General Hospital and Mayo Clinic on clinical data, attracting speakers from Xerox PARC, Carnegie Mellon University, Princeton University, Yale University, and University of Chicago. In the 2000s the event integrated themes emerging from MapReduce, Amazon Web Services, Google File System, Facebook, and initiatives at NASA and European Space Agency, while partnerships developed with National Institutes of Health, Wellcome Trust, Knight Foundation, and Bill & Melinda Gates Foundation.
Scope covers data-centric topics associated with work at Microsoft Research Cambridge, MIT Media Lab, Stanford AI Lab, Max Planck Institute for Informatics, and CNRS encompassing themes such as distributed storage exemplified by Ceph (software), stream processing inspired by Apache Flink, and machine learning deployments connected to TensorFlow, PyTorch, Scikit-learn, Hadoop, and Kubernetes. Research presented often references datasets and initiatives like ImageNet, Common Crawl, Enron Corpus, Census Bureau, Eurostat, and projects at European Bioinformatics Institute and National Center for Biotechnology Information. Sessions address performance and reliability topics rooted in studies from University of Washington, University of Cambridge, Tsinghua University, Peking University, and National University of Singapore.
The conference is managed by the International Data Processing Association, a body formed with founding members from IEEE Computer Society, ACM SIGMOD, British Computer Society, Deutsche Forschungsgemeinschaft, and Japan Society for the Promotion of Science. Governance follows procedures similar to consortia like W3C, IETF, ITU-T, ISO, and IEC with steering committees including representatives from University of Toronto, Seoul National University, University of Melbourne, Instituto Tecnológico de Buenos Aires, and Pontifical Catholic University of Chile. Funding models mirror grants from Horizon 2020, National Science Foundation (United States), Japan Science and Technology Agency, and sponsorship by Cisco Systems, Oracle Corporation, SAP SE, and Bloomberg L.P..
Proceedings are archived alongside collections such as Proceedings of the VLDB Endowment, ACM Digital Library, IEEE Xplore, arXiv, and HAL (open archive), with proceedings edited by teams from Springer Nature, Elsevier, Association for Computing Machinery, SIAM, and Oxford University Press. Notable satellite events mirror workshops tied to KDD, SIGIR, USENIX, EuroSys, and ICDE and have been hosted at venues including Moscone Center, ExCeL London, Palazzo dei Congressi (Rome), Kyoto International Conference Center, and Sydney Convention and Exhibition Centre.
Keynotes have featured laureates and leaders associated with institutions such as Turing Award, Alan Turing, Edsger W. Dijkstra, Donald Knuth, John McCarthy, Marvin Minsky, and more recent figures affiliated with Geoffrey Hinton, Yoshua Bengio, Yann LeCun, Judea Pearl, Tim Berners-Lee, Vint Cerf, Fei-Fei Li, Andrew Ng, and Daphne Koller. Awards presented include recognitions comparable to Turing Award, ACM Fellows, IEEE Fellows, Best Paper Award, Test of Time Award, and named lectures sponsored by Google Research Awards and Microsoft Research PhD Fellowship.
Research from the conference has influenced deployments at Amazon, Alibaba Group, Tencent, Baidu, Siemens, General Electric, Boeing, and Pfizer and has been cited in standards from ISO/IEC JTC 1, W3C, and regulatory discussions involving European Commission, U.S. Food and Drug Administration, and World Health Organization. Applications span implementations in projects at Johns Hopkins Hospital, Cleveland Clinic, United Kingdom National Health Service, European Space Agency, National Oceanic and Atmospheric Administration, and urban initiatives in Singapore, Barcelona, New York City, and Reykjavík.
Category:Computer science conferences Category:Data processing