The ISI Jan Tinbergen Awards are named after the famous Dutch econometrician and are sponsored by the Dutch ‘Stichting Internationaal Statistisch Studiefonds’ (Foundation International Statistical Study Fund). The aim of the Foundation is to offer assistance to developing countries in the statistical domain. The intention of the ISI Jan Tinbergen awards is to meet the Foundation’s aim and two of the fundamental objectives of the ISI, namely defining and instituting constructive roles in supporting the development of young statisticians and in building statistical capacity in developing countries.
The ISI Jan Tinbergen Awards are for best papers for the biennial World Statistics Congresses (WSC) by young statisticians. There are two divisions, with one award in each division for each WSC. In addition to a cash prize, generously provided by the Foundation, the winners receive support to enable their participation at the next and present their winning papers.
Papers in Division A may be on any topic which addresses an important application within the broad field of statistics to an economic, social or political development relevant to a developing country or region. The main criteria are statistical and/or data quality, innovation and quality of exposition and communication. The paper can make contributions in one or more of the following areas: generation of new methodological development, meeting the challenge of gathering reliable data in developing regions, and innovative application of statistical methods to a significant problem in order to benefit a developing country or region. Such a problem could arise in any of the sciences, engineering, economics, health, agriculture or business areas.
Papers in Division B may be on any topic which directly addresses the development and improvement of statistical systems in developing countries. The main criteria are innovative and significant contribution to statistical progress in government or associated organisations in a developing country, and quality of exposition and communication. Contributions could be in innovative applications of existing statistical methods, or application of new sources and innovative data collection and production.
For both divisions, the criteria for quality of exposition and communication include adequate reference to related work; technical and methodological standard of work; quality of writing organisation and clarity.