UNESCO Chair in Analytics and Data Science (University of Essex)

Purpose/Objectives of the Chair/UNITWIN Network

The value of data lies in extracting knowledge and delivering insights through data analytics – methods and techniques for analysing, modelling and linking different types of data – and creating novel data products and services both in the commercial and public sectors. The demand for data specialists is projected to grow worldwide by 160% between 2013 and 2020. Although digital technologies have yet to fully reach equally all developing and transitioning countries, ownership and usage of mobile devices and ICT have been growing. As developing economies grow, digital services and information will play a pivotal role. But for developing countries’ economies to transform into knowledge economies, they require a skilled workforce; this is currently lacking.

The aim of the Chair is to support the development of skills, research and capacity in the area of analytics and data science, both nationally and internationally. In particular, the Chair is looking to support the development of the knowledge base and expertise in developing countries. Developing such high level knowledge and specialist skills will improve graduates’ employability, up-skill professionals, enabling individuals to attain better jobs and subsequently improve their lives. Such an injection of skills will help develop strong and self-reliant knowledge economies, support growth, enable the delivery of better services to citizens and enhance people’s lives.

Chairholder/Coordinator: Professor Maria Fasli Director, Institute for Analytics and Data Science, University of Essex

Address: Institute for Analytics and Data Science, University of Essex, Wivenhoe Park, Colchester, CO4 3SQ

Email: mfasli@essex.ac.uk

Tel: 01206 872327


maria-fasliMaria Fasli is Professor and Director of the Institute for Analytics and Data Science (IADS) while also leading the Methodological Stream for Big Data Analytics in the ESRC BLG Data Research Centre. Her area of expertise is in artificial intelligence and smart analytics. She served as Head of School of Computer Science and Electronic Engineering between 8/2009-12/2014 and has demonstrated successful leadership evidenced by discernible and substantial outcomes in support of the University’s strategic priorities. She has been instrumental in building strategic partnerships internationally and developing joint programmes with partners (China), and forging links with businesses and other organisations. She has been developing and delivering innovative programmes and supervising students (9 PhDs completed; currently supervising 7). In 2005, she was awarded a National Teaching Fellowship by the Higher Education Academy (UK), for her innovative approaches to education. She has organised international workshops and events in both research and education.

Selected publications

  • Samothrakis, S. and Fasli, M. (2015) Emotional Sentence Annotation Helps Predict Fiction Genre. PLoS ONE 10(11): e0141922. doi: 10.1371/journal.pone.0141922
  • Hawalah, A. and Fasli, M. (2015) Dynamic User Profiles for Web Personalization. Journal of Expert Systems With Applications, 42, pp. 2547-2569.
  • Neville, B. Fasli, M. and Pitt, J. (2015) Utilising Social Recommendation for Decision-Making in Distributed Multi-agent Systems. Journal of Expert Systems With Applications, 42, pp. 2884-2906.
  • Centeno, R., Hermoso R. and Fasli M. (2014). On the inaccuracy of numerical ratings: dealing with biased opinions in social networks. Information Systems Frontier. DOI: 10.1007/s10796-014-9526-1
  • Hermoso R., Lopes Cardoso, H. and Fasli M. (2014). From Roles to Standards: A Dynamic Maintenance Approach using Incentives. Information Systems Frontier Journal. DOI: 10.1007/s10796-014-9523-4
  • Hawalah, A. and Fasli M. (2014) Utilizing Contextual Ontological User Profiles for Personalized Recommendations. Journal of Expert Systems With Applications. DOI: 10.1016/j.eswa.2014.01.039
  • Hermoso R., Centeno, R. and Fasli M. (2013) From blurry numbers to clear preferences: a mechanism to extract reputation in social networks. Journal of Expert Systems With Applications. Vol. 41, Issue 5.
  • Aloud, M. and Fasli, M. (2013) Stylized Facts of the FX Market Transactions Data: An Empirical Study. Journal of Finance and Investment Analysis, 2(4). pp. 145-183.
  • Al-Asfoor, M. and Fasli, M. (2013) Distributed Resource Search in Self-Organising Networks. In Proceedings of the 6th International Conference on Industrial Applications of Holonic and Multi-agent Systems (HoloMAS), Prague, Czech Republic, pp. 269-280.
  • Niu, J., Cai, K., Parsons, S., Fasli, M. and Yao, X. (2012) A grey-box approach to automated mechanism design. Electronic Commerce Research and Applications, 11 (1). pp. 24-35.
  • Clark, M., Kim, Y., Kruschwitz, U., Song, D., Albakour, M-D., Dignum, S., Cerviño Beresi, U., Fasli, M., and De Roeck, A. (2012) Automatically structuring domain knowledge from text: An overview of current research. Information Processing & Management, 48 (3). pp. 552-568.
  • Al-Asfoor, M. and Fasli, M. (2012) Semantic resource discovery in grid and multi-agent environments. In of the Intl Conf. on Agents and Artificial Intelligence, pp. 366 – 370.
  • Albakour, M-D., Kruschwitz, U., Nanas, N., Adeyanju, I., Song, D., Fasli, M., and De Roeck, A. (2012) Analysis of Query Reformulations in a Search Engine of a Local Web Site. European Conference on Information Retrieval 2012, pp. 517-521.
  • Adepoju Adeyanju,I., Song, D., Albakour, M-D., Kruschwitz, U., De Roeck, A., Fasli, M.(2012) Learning from users’ querying experience on intranets. WWW 2012: 755-764.
  • Fasli M. and Kovalchuk Y. (2011) Learning approaches for developing successful seller strategies in dynamic supply chain management. Information Sciences 181: 3411–3426.
  • Fasli M. and Michalakopoulos M. (2008) e-Game: A platform for developing auction-based market simulations. Decision Support Systems, 44(2): 469-481.
  • Fasli M. (2007) On Agent Technology for E-commerce: Trust, Security and Legal Issues. Knowledge Engineering Review Journal (Oxford University Press). 22(1), pp. 3-35.
  • Fasli M. (2007) Agent Technology for E-commerce. Chichester, Wiley & Sons.