Discussion on "Effective interdisciplinary collaboration between statisticians and other subject matter experts" (original) (raw)
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The ABC of Successful Statistical Collaborations: Adapting the ASCCR Frame in Developing Countries
Chapman and Hall/CRC eBooks, 2022
Collaborative techniques have become important components of solving today's real and complex data problems. The advent of the big data era has made it increasingly necessary to initiate collaborations between statisticians/data scientists and researchers in various fields because collaboration allows two or more experts from similar or different domains to work together with the common goal of achieving what the individuals could not have achieved separately. Many authors have written comprehensively on this burning subject of statistical collaboration and how it can be done successfully. Some outstanding works on statistical consulting and collaboration include the works of Awe (2012), Zahn et al. (2013), Vance (2015), Derr (2000) and Vance and Smith (2019). Awe (2012) described the poor state of statistical consulting and collaboration in developing countries and called for the teaching and expansion of statistical consulting and collaboration techniques across institutions in Africa while advocating for the establishment of statistical consulting centers in all African Universities. Zahn et al. (2013) introduced the POWER (Prepare, Open, Work, End, Reflect) principle for statistical consulting into the literature. This principle helps to ensure effective and successful collaborative and consulting practice. Statistical collaboration has been described as the collaboration between a statistician or data scientist and a domain expert (DE). Vance (2015) described how developments over the past 25 years in computing, funding, personnel, purpose and training have affected academic statistical consulting centers and discussed how these developments and trends point to a range of CONTENTS
International Journal of Higher Education, 2016
This paper describes the experiences gained from the established statistical collaboration canter at Hawassa University as part of LISA 2020 network. The center has got similar setup as LISA at Virginia Tech. Statisticians are trained on how to become more effective scientific collaborators with researchers. The services are being delivered since May 2015. The University has a well established and strong academic graduate programs of statistics. The master programs are: Applied Statistics, and Mathematical and Statistical Modelling launched in 2008 and 2010, respectively. They are research based studies. They have produced over one hundred sixty graduates to-date, with current enrollment of over fifty students. The doctoral program started in 2013, with enrollment of ten students. The graduate students are the main role players as statistical collaborators at the center. The collaborators and clients have revealed positive feedback about the services. It is observed that the collaboration scheme seem to have an impact on research quality of the non-statistician researchers. The role of statisticians will be important in the scientific researches of the University so as to meet the societal needs. The collaboration practice has a potential to enhance the statistics education and research at the department itself. The center needs to be strengthened and expanded for greater services and sharing experiences with other similar higher institutions.
Promoting Statistics in the Era of Data Science and Data-Driven Innovations
STATISTICS EDUCATION RESEARCH JOURNAL, 2020
This paper aims at highlighting initiatives in developing future statisticians directed at high-school and university levels in Niger. More specifically, it focuses on collaborations, partnerships, outreach initiatives and supporting mechanisms, which may contribute to increase engagement and interest in and attraction to the field of statistics in the era of data science and data-driven innovations. Providing sufficient exposure to modern statistical analysis, computational and graphical tools, written and oral communication skills, and the ever-growing interdisciplinary use of statistics are key activities for building future generations of statisticians. Furthermore, current curricula as well as pedagogical approaches, teaching materials, and assessment methods need to be re-thought in order tomeet the requirements of the skills needed in the 21st century ensuring effective interaction with scientists, public institutions, industry, civil society, and policy makers. First publish...
Statistics of Statisticians: Critical Mass of Statistics and Operational Research Groups
International Journal of Modern Physics: Conference Series, 2012
Using a recently developed model, inspired by mean field theory in statistical physics, and data from the UK's Research Assessment Exercise, we analyse the relationship between the qualities of statistics and operational research groups and the quantities of researchers in them. Similar to other academic disciplines, we provide evidence for a linear dependency of quality on quantity up to an upper critical mass, which is interpreted as the average maximum number of colleagues with whom a researcher can communicate meaningfully within a research group. The model also predicts a lower critical mass, which research groups should strive to achieve to avoid extinction. For statistics and operational research, the lower critical mass is estimated to be 9 ± 3. The upper critical mass, beyond which research quality does not significantly depend on group size, is 17 ± 6.
Collaborative Projects in Statistics Education
Proceedings of the 2008 Joint Statistical Meetings, 2008
The field of statistics education is growing, but needs more quality studies to address unanswered questions. To meet this need, the Research Advisory Board (RAB) of CAUSE initiated a mentoring program under the NSF-funded CAUSEmos grant. The program's purpose is to support the development of researchers new to statistics education. Three teams were formed from eleven faculty participants based on common research interests. During the first year, each team conducted a literature review, refined research questions, and designed a preliminary research project. In this paper, an RAB member presents an overview of the mentoring program. Representatives from each group discuss their respective studies. In conclusion, the participants discuss their participation in these clusters.
The Merging of Statistics Education, Consulting and Research: A Case Study
Journal of Statistics Education, 2007
It is shown how student participation in a real consulting project can be leveraged to achieve the dual goals of (i) developing statistical consulting skills in graduate students, and (ii) enhancing the instructional effectiveness of statistical methodology. Achieving these goals is the primary mission of the Statistical Consulting Collaboratory at the University of California, Riverside. The paper gives a detailed illustration of the how the goals were achieved by reporting on an interesting case study, with special emphasis given to describing the involvement of students and the alternative ways in which the project found its way into classrooms.