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| Statistical Conference of the Americas | |
|---|---|
| Name | Statistical Conference of the Americas |
| Formation | 2009 |
| Type | International conference series |
| Location | Americas |
Statistical Conference of the Americas
The Statistical Conference of the Americas is a regional conference series focused on statistical science, official statistics, and quantitative methods across the Americas. It brings together delegates from national statistical offices, academic institutions, multilateral agencies, and professional societies to discuss topics ranging from census methods to survey methodology, data science, and statistical capacity building. The Conference acts as a forum linking technical experts from North America, Central America, South America, and the Caribbean.
The Conference functions as a periodic convening that integrates stakeholders from United Nations Statistics Division, Economic Commission for Latin America and the Caribbean, Inter-American Development Bank, Pan American Health Organization, and national agencies such as Statistics Canada, U.S. Census Bureau, Instituto Nacional de Estadística y Geografía, Instituto Brasileiro de Geografia e Estatística, National Institute of Statistics and Censuses (Argentina). Academic partners have included Harvard University, University of Toronto, University of São Paulo, London School of Economics, and Stanford University, while professional societies such as the American Statistical Association, International Statistical Institute, Royal Statistical Society, Sociedad Mexicana de Estadística often contribute. The Conference emphasizes interoperability with initiatives led by Organisation for Economic Co-operation and Development, World Bank, International Monetary Fund, and Global Partnership for Sustainable Development Data.
Originating in the late 2000s, the Conference emerged from regional dialogues involving United Nations Economic Commission for Europe, United Nations Statistics Division, and the International Association for Official Statistics. Early meetings built on precedents such as the International Conference on Establishment Surveys and the World Statistics Congress of the International Statistical Institute. Hosts have rotated among cities including Ottawa, Washington, D.C., Mexico City, Sao Paulo, Lima, and Santiago. Key historical milestones include alignment with the 2020 Round of Censuses discussions, integration of principles from the Fundamental Principles of Official Statistics, and collaborative work following events like the 2010 Haiti earthquake and the COVID-19 pandemic to strengthen real-time indicators.
Governance has typically involved steering committees composed of representatives from national statistical agencies such as Instituto Nacional de Estadística (Chile), National Institute of Statistics and Geography (Mexico), Instituto Nacional de Estadística y Censos (Uruguay), together with international bodies like the United Nations Development Programme, Economic Commission for Latin America and the Caribbean, and academic liaisons from institutions such as Massachusetts Institute of Technology and Universidad Nacional Autónoma de México. Advisory roles have been filled by elected officers and technical co-chairs affiliated with International Statistical Institute, Committee of Presidents of Statistical Societies, and the International Association for Statistical Computing. Funding sources have included grants from the Inter-American Development Bank, programmatic support from the World Bank Group, and sponsorships from foundations like the Bill & Melinda Gates Foundation.
Plenary sessions feature keynote speakers drawn from figures associated with United Nations Secretary-General, World Bank President, IMF Managing Director, and eminent statisticians affiliated with Johns Hopkins University, Columbia University, and Universidad de Buenos Aires. The program typically includes thematic tracks mirroring workstreams at the Conference of the Parties, Summit of the Americas, and technical symposia comparable to the Joint Statistical Meetings. Workshops and short courses have been co-organized with Coursera partners, the International Programme for Development Evaluation Training, and professional training centers at Harvard Kennedy School.
Participants span national delegations from agencies such as Statistics Canada, U.S. Census Bureau, Instituto Nacional de Estadística y Censos (Argentina), Departamento Administrativo Nacional de Estadística (Colombia), regional organizations including Caribbean Community and Mercosur, civil society groups such as Open Data Institute, and private sector firms including Google, Microsoft Research, and SAS Institute. Student contingents have come from universities including University of Michigan, McGill University, Pontifical Catholic University of Chile, and Universidad de los Andes (Colombia). Observer status has been granted to entities like Organisation for Economic Co-operation and Development, United Nations Educational, Scientific and Cultural Organization, and the African Development Bank when cross-regional collaboration warranted.
Recurring research themes include survey methodology influenced by work at American Association for Public Opinion Research, small-area estimation advanced in collaborations with United Nations University, administrative data integration following projects at Eurostat, and geospatial statistics linked to efforts by Esri and the National Aeronautics and Space Administration. Topics have included data privacy informed by European Union Agency for Network and Information Security frameworks, machine learning applications following research from Google DeepMind and OpenAI, nowcast modeling inspired by International Monetary Fund approaches, and indicators for the Sustainable Development Goals developed with UNICEF and UNDP.
The Conference has influenced methodological guidelines adopted by agencies such as OECD, Eurostat, and national offices including Statistics Canada and Instituto Brasileiro de Geografia e Estatística. Collaborative outputs include technical manuals co-authored with World Bank statisticians, capacity-building curricula aligned with United Nations Statistics Division training, and research networks linking scholars from Princeton University, Yale University, Universidad Nacional de Colombia, and Universidad de Chile. The Conference has catalyzed partnerships with initiatives like the Global Partnership for Sustainable Development Data, fostered data interoperability projects with Open Data Charter signatories, and supported open-source tool development alongside communities at R Project, Python Software Foundation, and GitHub.
Category:Statistical conferences