Improving Official Statistics
Improving Official Statistics
Data2X and Open Data Watch have recently launched a Building Responsive Investments in Data for Gender Equality (BRIDGE) tool. BRIDGE is aimed to empower national statistical systems and national statistical offices (NSOs) to take the lead in producing robust gender data.
The 2023 IAOS General Assembly (GA) will be held at 18:10 pm – 19:50 pm (CEST), 17 July 2023, during the 64th ISI World Statistics Congress (WSC), taking place in Ottawa, Canada, on 16-20 July 2023.
IAOS would like to congratulate Ms. Joanne Yoon of Statistics Canada, Mr. Nelson Chua and Mr. Benjamin Long of Australian Bureau of Statistics, and the other winners of the 2023 Young Statisticians Prize (YSP) competition. Our thanks to all entrants and the International Judging Panel for their efforts.
Michel Mouyelo-Katoula, Statistician and former Global Manager of the International Comparison Programme, died on 12th April 2023 in Abidjan, Cote d’Ivoire.
The 2023 IAOS General Assembly will be held at 18:10 pm – 19:50 pm (CEST), 17 July 2023, during the 64th ISI World Statistics Congress (WSC), taking place in Ottawa, Canada, on 16-20 July 2023.
The ESSnet Web Intelligence Network (WIN) project was launched by Eurostat in 2021 and aims to develop and nurture a network of like-minded individuals focusing on modernising official statistics through web (internet) data. Through access to the Web Intelligence Hub, an analytical environment to produce statistics with web data, National Statistical Organisations will be able to explore an array of non-traditional data sources and accelerate the modernisation of the European Statistical System (ESS).
Webinar “Women Statisticians in the ISI: How to Advance Your Career” organised by the ISI Committee Women in Statistics (CW-ISI)
We are pleased to inform you that the IAOS Nominating Committee chaired by John Pullinger has submitted this slate of candidates for the IAOS Executive Committee Members during 2023-2025.
The ESSnet Web Intelligence Network (WIN) project is creating an environment where an array of non-traditional data sources can be accessed by members of the European Statistics System (ESS) and beyond.
Convened by the International Association for Official Statistics
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