International migration is on the increase against the background of economic, demographic, technological, climate and geopolitical changes. As a result, new information needs on topics such as migrant integration are emerging, with new opportunities in terms of information sources becoming available.
New phenomena in areas related to sustainable development may emerge requiring information for policy responses. How can we make sure that official statistics are ready to deal with such unforeseen phenomena?
In the era of social media and political campaigning, which use numbers as their headlines, the existence of a trustworthy source and a possibility to fact-check the information has become a necessity. For this reason, post-truth societies can be seen as an opportunity for official statistics to confirm their role as a trusted party providing objective figures.
How can the public be sure that the statistics held by statistical offices are secure? The unethical treatment of 1940s census data has been used as an argument for census non-compliance even decades later. As ever more data are being gathered about citizens and enterprises, how can we avoid instances of similar controversial disclosures?
Do the current or planned concepts for globalisation statistics adequately capture globalisation's features or its consequences? Or will globalisation evolve in a way that requires a different form of measurement? Will it have consequences that will require new types of policy-relevant information?
New economic and business models are emerging, with shared platforms increasingly used in sectors such as local transport and short-term accommodation. Regardless of whether these developments are desirable or not, these new economic activities tend not to be captured by official statistics. As a result, they may not be part of the traditional measurement of GDP and production.
How can official statistics become more agile and responsive to the needs of citizens and policymakers? How can technological opportunities be used and statistics stay relevant in times of change? How can the communication of official statistics be improved in the face of competition from other information suppliers?