The Data Science and Artificial Intelligence (DSAI) conference seeks to  provide a platform AI researchers and practitioners to share experiences, practical skills and knowledge in the development, deployment and adoption of Data Science and Artificial Intelligence solutions in Africa. The event targets undergraduate, masters and PhD students, senior and early career researchers and industry practitioners in order to offer a variety of perspectives and knowledge in Data Science and Artificial Intelligence.

Collaborations, especially across disciplines, are currently are requirement for a majority of research and implementation activities. In this regard the event also seeks to facilitate networking among senior and upcoming Data Science and Artificial Intelligence researchers with their industry counterparts for the establishment of collaborations.

Dissemination of research is a key requirement in all academic and industry research in order to facilitate adoption of outputs as well as to spur new activities. In this regard, the conference also serves as part of the publication process for outputs of research and practice papers in conference proceedings and the Journal of Information Systems in Eastern Africa.

Objectives of the Conference

1. To provide a platform AI researchers and practitioners to share experiences, practical skills and knowledge in the development, deployment and adoption of Data Science and Artificial Intelligence solutions in Africa.
2. To facilitate networking among senior and upcoming Data Science and Artificial Intelligence researchers with their industry counterparts for the establishment of collaborations.
3. To provide an opportunity for presentation of research and practice papers which will be published in conference proceedings and a journal special issue for dissemination purposes.

Submissions

The conference accepts the following types of submissions; 

1. Case Studies: Abstracts or full papers based on case studies documenting challenges and lessons learned during the development and  deployment of Data Science and Artificial Intelligence solutions in Africa.
2. Emprical Works: Abstracts or full papers documenting results from research activities related to the adoption and impact of Data Science and Artificial Intelligence on the African continent.
3. Project Presentations: Abstracts or posters documenting systems and solutions in Data Science and Artificial Intelligence solutions on the African continent.

Conference  Mode

The conference is held in a hybrid mode to allow for online participation by authors from across the globe.

Publication

1. All submitted abstracts are published in the conference book of abstracts.
2. Full conference papers are published in a peer-reviewed conference proceeding.
3. Selected submissions are double-blind peer-reviewed for publication in a special issue of the Journal of Information Systems in Eastern Africa. http://journals.kabarak.ac.ke/index.php/jisea  

dsai@kabarak.ac.ke