Gender and indigent students based training and mentoring through statistical computing in North Central Nigeria
Creators: name: Monday Osagie Adenomon
Publisher: name: AAS Open Research
Year: 2020

description: Abstract<br> Mathematical and physical sciences lack number of students especial women and indigent students mainly because those that teach them make it too theoretical. Recently Laboratory for interdisciplinary Statistical Analysis (LISA) from USA created a stat lab in Nasarawa State University, Keffi, Nigeria to fill this gap. The NSUK-LISA stat lab is mentoring and teaching using the TEAM (T-Teach, E-Explanation with real life, A-Attitudinal influence, M-Mentoring) frame, and impressive impact on the students are quite interesting. Statistical computing software such as R, Python, STATA and MATLAB are increasingly used to win the attention of the students in North Central Nigeria. To further encouraged women and indigent students, we created an NGO called Foundation of Laboratory for Econometrics and Applied Statistics of Nigeria (aka FOUND-LEAS-IN-NIGERIA) to supports women, girls and indigent students of mathematical and physical sciences. <br> Our NGO named Foundation of Laboratory for Econometrics &amp; Applied Statistics of Nigeria (aka Found-LEAS-in-Nigeria) was created and registered by Corporate Affair Commission, Abuja, Nigeria on 20th December 2018 with registration number: CAC/IT/No. 122556.<br> We do the following activities:<br> i. To support women and girls studying mathematics, statistics, physics, chemistry and other courses in mathematical sciences through scholarship<br> ii. To support indigent students studying mathematics and data science in Nigeria through scholarship<br> iii. To support drive for capacity building in statistics in Nigeria<br> iv. To engaged in awareness campaign on the need for statistics and data sciences among secondary school students in Nigeria<br> iv. To organized subsidized workshop and conferences that bring together statistical and data scientist with stakeholders in Big data analytics in Nigeria<br> v. To support pregnant women and girl children in disadvantaged localities in Nigeria.<br> vi. To support activities that enhanced the use of recent statistical computing techniques in mathematical and data sciences in Nigeria.<br> vii. Organized mentor classes to help impact women and indigent students to achieve their dreams in physical sciences.<br> The previous impacts are as follows:<br> i. Impacting women on grant writing and statistical computing skills (see https://www.isi-web.org/index.php/news-featured/20224-news-from-the-statistical-capacity-building-committee)<br> https://www.isi-web.org/index.php/news-featured/20192-towards-consulting-best-practices-technique-for-women-in-statistics-and-data-science-in-nigeria<br> ii. Mentoring and motivating women and indigent students in Nigeria by providing information on opportunities for women, inspiring stories that we can do better in Africa through the FOUND-LEAS-IN-NIGERIA group of almost 400 members (see https://www.facebook.com/groups/566434690484084/)<br> iii. Women and girls doing well in undergraduate and postgraduate studies in Department of Statistics, Nasarawa State University, Keffi through counseling, motivation and mentoring.<br> While during this COVID-19 we would, FOUND-LEAS-IN-NIGERIA is impacting women, girls and indigent students on protecting themselves by using face mask, hands washing and imbibing social distancing practice during training and mentorship programmes.