This event was cancelled due to the Covid-19 outbreak.
RSAI NURTURING YOUNG SCIENTIFIC TALENTS WORKSHOP
New Methods in Regional Science:
Data Science, Artificial Intelligence and Big Data Analytics
- Coordinators of the project:
- Abdellatif Khattabi (AMSR) et
- Karim El Aynaoui (UM6P)
- Scientific Committee:
- Andrea Caragliu
- Eduardo Haddad
- Jean-Claude Thill
- Karima Kourtit
- Lakshmi Sivaramakrishnan
- Peter Nijkamp
- Saad Badaoui
- Said Lahssini
- Sumona Banerjee
- Tomaz Dentinho
- Organizing Committee:
- Erdogan H. Ekiz
- Hicham Mharzi Alaoui
- Said Lahssini
- Duration: 2 days: May 31 – June 1, 2020
- Venue/Location: UM6P, Benguerir, Morocco (close to Marrakech)
- Expected participants: 20-25 young scientists
The workshop is free of charge and the organizers will provide local logistics in Benguerir (accommodation and meals from the diner of May 30th to the lunch of June 2nd, local transportation on arrival and departure from Marrakech to Benguerir and from Benguerir to Marrakech) |
The volume of available data for research and policy has more than doubled in the past decade and shows an exponential growth. This new situation is also creating unexpected opportunities for regional science research. In order to seize such opportunities and examine the changing complexity of data structures and volumes, traditional methods in regional science need to be re-thought and re-designed. Data science brings innovative methods, information processes, complex algorithms and new digital systems, with the aim to harvest and extract knowledge from huge and big data using inter alia machine-learning and artificial intelligence techniques. Such techniques will be more than ever needed in modern regional science research. A presentation of such usual approaches will be given in a dedicated workshop in relation to the RSAI World Conference in Marrakech (Morocco).
This workshop will give an overview of methods, models and computational architectures related to the above topics. The workshop will involve lectures and practical sessions related to theory, tools and practices, case studies and student’s presentations. It will familiarize participants with new machine learning techniques, supervised and unsupervised learning, segmentation methods and deep learning. Participants will also gain experience in organizing data using traditional methods as well as more modern statistical and econometric approaches.
This two days’ workshop on “New Methods in Regional Science: Data science, Artificial Intelligence and Big Data Analytics”, meant for young scientists in Morocco and elsewhere in Africa and the whole world. It will be organized by the Moroccan Regional Science Association (AMSR) and the University Mohamed 6 Polytechnic (UM6P), in close association with the RSAI World Congress that will take place in Marrakech, Morocco, from June 2 – 5, 2020.
The workshop is offered to Master Students, PhD Candidates and early career researchers, with a view to enhancing their knowledge, their networking abilities, cooperation and start-up of their professional career. The meeting venue creates appropriate conditions, place and space to provide young scientists with a substantive training for their efficient and successful scientific career development, for the presentation of their new work, and for receiving feedback from inspiring senior scholars and from their peers.
The workshop’s organization cooperates with higher education institutions from Morocco and other countries. The workshop will create a multidisciplinary and multinational scientific environment and promises valuable scientific results in the form of new common research project proposals, publication outputs, support of young researchers, and development of scientific cooperation. Candidates have to apply for participation in this workshop.
The selection of participants for the workshop will be based on the quality of their applications. Applications for the workshop should include an outline of the research interest and motivation of Master or PhD students; brief description of the presentation that will be delivered; institutional affiliation and current position; reference from the home institution. The plan is to nurture new talent of about 5 Master Students, 10 PhD candidates and 5 early career researchers.
POTENTIAL KEY SPEAKERS (TENTATIVE)
- Theory and practice
- Jean-Claude Thill
- Michael Goodchild (tbc)
- Carlo de Weijer (tbc)
- John Osth (tbc)
- Laurie Schintler
- Parvathy Krishnan
- Case studies:
- Eduardo Haddad
- Peter Nijkamp
- Karima Kourtit
- Thomaz Dentinho
- Said Lahssini and Hicham Mharzi Alaoui
- Saad Badaoui
More information at: http://amsr.ma/RSAI_NT/