CANSSI strives to advance research in the statistical sciences in Canada by attracting new researchers to the field, increasing the points of contact among researchers nationally and internationally, and providing assistance to collaborations with other disciplines and organizations. Proposals for CANSSI-supported activities should be mindful of the gender balance of speakers and participants and also the participation of under-represented groups in the field. Preference will be given to proposals that include scientists at different career levels, from different institutions and geographical locations in Canada and abroad. Plans should include the involvement of students and postdoctoral fellows.
CANSSI’s mission is to advance the development, application, and communication of cutting-edge statistical and inferential data science research and training. CANSSI supports collaborative, multidisciplinary research and the establishment of new linkages between the statistics and inferential data science community and research communities in academia, industry, government, and non-profit organizations. CANSSI also strives to attract new researchers to the field and provide students and postdoctoral fellows with opportunities to participate in collaborative, interdisciplinary research involving the development and application of cutting-edge statistics and inferential data science. The creation of an equitable, diverse and inclusive Canadian statistics and inferential data science research enterprise is necessary for CANSSI to achieve its mission and for the statistical and inferential data science community to respond effectively to local, national and global challenges. CANSSI-supported activities are evaluated on their commitment to increasing and supporting diversity by giving equitable access to opportunities, supporting equitable and inclusive participation, and creating conditions for success for all participants which include feeling valued and included. Diversity refers to the differences that make each individual unique and valuable, including but not limited to age, class and income, culture, educational background, ethnicity, gender, gender expression, geographical location, marital status, physical abilities/qualities, race, religious status, and sexual orientation. Inclusion refers to the behaviours and social norms that ensure people feel welcome and valued.