Statistics:adecision-makingtoolat the service ofsustainable developmentinAfrica
Objectives
This
conference would be a focus for discussion and exchange on different
aspects of statistics and stochastic modelling, both theoretical and
practical, in relation to development issues in Africa. Organizers
hope it will allow users of statistics and stochastic modelling as
well as specialists in these fields to discuss issues relating to the
efficient practice of statistics in Africa.
This
conference builds on a triple synergy: meeting between researchers
and professionals from diverse backgrounds (university, scientific
research organization, business, government and intergovernmental
bodies, etc..) and disciplines, meeting among different scientific
cultures (French, English, Portuguese-speaking, Hispanic, etc..) which are
expressed on the African continent and finally meeting between
statisticians working in Africa and outside Africa.
Consequently,
the main objectives of this conference can be formulated as follows:
Provide
a forum for exchanging experiences and knowledge to specialize in
statistics and stochastic modelling as well as users of these methods
interested in issues and development issues in Africa.
Promote
scientific research in statistics and stochastic modelling in Africa.
Promote
the application of statistical and stochastic modelling and their use
as tools to aid decision making in all areas of social, economic and
policy in Africa.
Improve the transfer of knowledge and experience in
statistics and stochastic modelling.
Enhance aa pan-African network for
research in statistics and stochastic modeling and applications for
development in Africa.
Call for papers
All topics of statistics and stochastics modelling can be addressed in contributed papers. Depending on numbers of papers submitted, some may be grouped into sessions on specific topics. The following sessions are already planned:
Statistical and stochastic modelling in medicine and public health.
Statistics, Agriculture and Food science.
Statistical and stochastic modelling in finance and business
Statistics and public resource management.
Statistical process control and statistics for industry.
Statistics and management of natural resources: water, energy resources, mining resources, etc..
Statistical and probabilistic modelling for the prevention and management of risk: natural hazards, industrial risks, financial risks, etc…
Statistics and stochastic modelling and environmental studies.
Data visualization (Geographic Information System, ...).
Statistics & Media.
The training of statisticians and statistical education of citizens.
Surveys
High visibility will be given to poster sessions to value them in the same way as oral communications.
The submission will be electronic.The abstract should be at most 450 words including authors name and surname, the contact information (e-mail) of the proposed presenter.
Organizers invite participants to use the website for registration and paper submissions.
The official languages of the conference are French and English.