- Networking activities
- Cross-sectional clubs
- International Chapters
- Regional clubs
- Contact with Service
- Landings Service
We promote networking among alumni to strengthen business connections, promote new ideas and advance your career.
This refresher programme uses the Student First method. Participants must read the article mentioned below beforehand.
ESADE Alumni is pleased to invite you to this talk in the refresher programme entitled 'The challenges of artificial intelligence. Systems that can help you find a good job', by Núria Agell, professor and head of the ESADE department of operations, innovation and data sciences, and Xari Rovira (MBA 93), professor in the ESADE department of operations, innovation and data sciences and head of programme development and quality management at ESADE.
There can be no doubt about the impact of AI on 21st-century society, manufacturing employment, and business and companies in general. AI is expected to destroy many jobs, but it may also create new employment and improve existing jobs. This talk will examine the new challenges and changes that AI may give rise to in the realm of job references and, in particular, it will present a research project carried out at ESADE about an AI method designed to help students find the traineeships best suited to their skills and ambitions.
Degree in maths (Universidad de Barcelona). PhD in applied maths (UPC) with dissertation about the modelling of qualitative reasoning.
Active member of the Catalan AI association and the EURO Working Group on Multi-criteria Decision Aiding. Has worked as a researcher at LAAS-CNRS (Laboratoire d'analyse et d'architecture des systèmes) in Toulouse and at the University of Edinburgh Business School.
Co-ordinator of JUICE (Judgements and Decisions in the Market Place consolidated research group).
From October 2006 to October 2010, Núria was the president of ACIA, the Catalan AI association.
Her research focuses on the development of AI techniques and decision-making systems with particular emphasis on automatic learning, fuzzy and qualitative reasoning, multi-criteria and group decision-taking, reference systems and consensus modelling.
Núria is currently head coordinator of several projects related to the use of AI in business, marketing and finance, sponsored by public entities and private-sector companies. She has directed or co-directed 11 PhD theses, published more than 40 chapters in books and papers in acclaimed international journals, and given more than 50 talks at international congresses and workshops.
Núria Agell has held a chair at ESADE Business School, Universitat Ramon Llull since 2003. Head of the management science PhD programme at ESADE Business School and the master in management science research from 2005 to 2013. Head of the department of operations, innovation and data science at ESADE Business School since May 2015.
Fields of interest include the application of qualitative and fuzzy reasoning to business management, particularly finance, and the mathematical considerations of qualitative calculus in the modelling of orders of magnitude. Has taken part in many congresses and published several articles on these subjects.
Member of the knowledge engineering research group GREC and the automation of qualitative reasoning and applications research group ARCA since 1996 and 1999 respectively. Currently working on the MERITO project funded by the Spanish Ministry of Science and Technology to develop soft computing techniques for measuring credit risk.
Deputy director of the ESADE PhD programme from 1995 to 2004; representative of this programme at the annual assembly of the European Doctoral Programmes Association in Management and Business Administration (EDAMBA) from 1996 onwards; and participant in their PhD supervisors’ workshops.
Prior to joining ESADE in 1989, she lectured and researched her PhD thesis on functional inequations and equations in the maths department at the UPC School of Architecture in Barcelona.
Members are welcome to bring a guest.
See you there!
For further details: