This pre-launch webinar will introduce the audience to the mission of QS and to the QS World University Rankings: Arab Region methodology. It will provide a detailed account of each indicator and its rationale for inclusion and scope. Eligibility requirements for inclusion in the ranking will be discussed as well as reflections on what constitutes excellence in the higher education arena at national and institutional levels.
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Our Panel members:
Dr Ashwin Fernandes - Executive Director - AMESA at QS
Ashwin has been with the QS Quacquarelli Symonds group since 2012. In his current role as Regional Director, he works closely with universities in Middle East, North Africa and South Asia to better understand the local context and to support universities and higher educational institutions in their quest for excellence and capacity building.
Florence Webb - Head of Frameworks at QS
Florence is the Head of Frameworks at QS. Prior to joining QS, Florence worked in strategic leadership roles within the higher education sector in the UK and Switzerland for over ten years. Florence’s expertise lies in Strategy and Planning, Accreditation and Quality, and Stakeholder Management. Florence holds a MA (Distinction) in Applied Linguistics from Birkbeck, University of London, and a BA Modern Languages from the Durham University.
Sam Duke - Rankings Specialist at QS
A rankings specialist with experience running and marketing magazines, guides, and qualitative and quantitative research projects, including rankings and awards, across a variety of sectors. Responsible for the design of the QS Rankings methodologies and frameworks, and building their influence through sector engagement and partnerships.
Kendrick Ng - Data Engineer at QS
A data engineer at QS, specialising in the production of global rankings, playing a pivotal role in ensuring the accuracy, integrity, and efficiency of data systems that power QS’s renowned university and institution rankings. I am responsible for the end-to-end data pipeline, from gathering vast datasets from universities and research institutions, to cleaning, transforming, and validating this data for analysis.