FUOYE-LISA
Federal University, Oye-Ekiti, Nigeria
LISA 2020 Network Member: 2020

Vision and Mission:

• To create a conducive environment for learning and resourcefulness by providing resources (both human and machines) that will enhance the capacity building in strong statistical modeling and practicable data science.

Goals of FUOYE-LISA:

• To train the students

• Build capacity of staff/students in Statistical advocacy and Data Science support

• To impart on how to use Statistics appropriately

• To enhance statistical computing expertise for staff in Agriculture, Engineering, Environment and other interested discipline.

• To provide Statistical assistance to those researchers working on grant proposals to include statistical consulting and data analysis as an item in their research plans.

• To create a platform for Promotion of interdisciplinary and collaborative research culture.

• To provide consultancy to researchers, private and public organizations

• To Collaborate through interdisciplinary researchers and other Stat Labs

The stat lab aspire to accomplish the following:

• To serve as a consulting unit for the use of Statistics appropriately among staffs and students, it expected that 25-50 students and staffs will be engaged monthly.

• To target joint publication with colleagues in other disciplines, publish in high impact journals.

• To arrange Seminars/Workshops by eminent Statisticians/Data Scientist, also 25-50 participants will be embraced monthly.

• To create awareness through advertisement of the lab and its services to members of the University community

• To motivate lecturers to include the use of data visualization while delivering their courses/teaching

• To instill skills of deliverables of relevance Statistical tools for grant proposal writing for funding.

• To help upcoming economists, engineers and environmentalist in their practices through mentorship programs and refresher courses.

• Elucidate the discipline of Statistics to be attractive.

• To provide short courses and use of statistical software/packages to meet research objectives