In the listing below are meetings, lectures, seminars, and other events of interest to the open data community. Events listed are open to the public unless otherwise noted. Past events are updated, as possible, to include links to outcome documents.

If you know of an event that should be included, contact us by email at info@opendatawatch.com or use the Contact Us link in the bottom navigation bar. Please include the name of the event, sponsor, location, date & time, website link if available and a short summary of what the event is about.

Modernizing Agricultural Statistics for Sustainable Development

26/10/2016 – 28/10/2016 , Rome, Italy

​The 7th International Conference on Agricultural Statistics (ICAS VII) is organized by the Italian National Institute of Statistics with support from the Food and Agriculture Organization of the UN (FAO).  The conference brings together research and best practices in the field of agricultural statistics in response to the changing needs and opportunities for agricultural statistics.  Agricultural statisticians from all over the world, producers, suppliers, economists, researchers, government entities, development partners, and international organizations collaborate on how to modernize agricultural statistics in support of the sustainable development agenda…(more)

Gathering Statisticians and Data Users

05/09/2016 – 08/09/2016 , Manchester, United Kingdom

​The Royal Statistical Society​ will host its 2016 Annual Conference in Manchester – the European City of Science 2016. Because of the range of topics presented and discussed and the breadth of the audience, this conference is the only one in the UK where all statisticians and users of data gather together. So it’s the best forum to share information, network and learn from one another…(more)​

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Joint Statistical Meetings in Chicago

30/07/2016 – 04/08/2016 , Chicago, IL, USA

​JSM (the Joint Statistical Meetings) is the largest gathering of statisticians held in North America with more than 6,000 attendees from 52 countries and over 600 sessions. Topics range from statistical applications to methodology and theory to the expanding boundaries of statistics, such as analytics and data science. JSM also offers a unique opportunity for statisticians in academia, industry, and government to exchange ideas and explore opportunities for collaboration. Beginning statisticians (including current students) are able to learn from and interact with senior members of the profession…(more)​

Data and Development

20/06/2016 – 21/06/2016 , Washington, DC, USA

​The Annual Bank Conference on Development Economics (ABCDE)​, organized by the World Bank Development Economics (DEC) Vice Presidency, is one of the world’s best known series of conferences for the presentation and discussion of new knowledge on development. The conference aims to promote the exchange of cutting-edge research among researchers, policymakers, and development practitioners…(more)​ ​

Improving the Quality of Official Statistics

31/05/2016 – 03/06/2016 , Madrid, Spain

​The European Conference on Quality in Official Statistics (Q2016), hosted by Eurostat​ and the Instituto Nacional de ​Estadistica​, will cover relevant and innovative topics on data quality. These topics will range from the challenges and the new paradigm of quality in an information and knowledge-driven society including big data and multi-source statistics, to governance and management aspects like the ones linked to the ESS Vision 2020. Furthermore, as an open forum of debate, it represents an opportunity to introduce innovation in the measurement and management of the quality in statistical domains and in specific statistical products.​..(more)​

Do Good Data

 

27/04/2016 – 29/04/2016 , Chicago, USA

​Do Good Data, the leading conference on data, research and analytics for the social sector, brings together innovators and thought leaders to discuss how data can be used to create a more effective and efficient sector.  The conference convenes in Chicago and promises to deliver concrete skill development in data analysis, data visualization, and research methodology…(more)