NCRM/Exeter Computational Communication Methods Spring School
Date:
06/04/2022 - 14/04/2022
Organised by:
University of Exeter
Presenter:
Professor Susan Banducci and others
Level:
Intermediate (some prior knowledge)
Contact:
Kate Jones
Q-Step Administrator
University of Exeter
K.Jones5@exeter.ac.uk
Description:
The NCRM/Exeter Computational Communication Methods Spring School will provide training at introductory and advanced levels, catering for both social scientists and data scientists.
The school will take place at the University of Exeter over two 4-day sessions between 6-14 April 2022 and is co-sponsored by:-
- IDSAI Computational Social Science
- Social Data Science Group, Turing Institute
- Exeter Q-Step
The programme will cover multiple computational approaches, such as machine learning and network analysis, and their application to communication research looking at text, images and social media data.
World-leading experts will deliver workshops, seminars and demonstrations, help desks will offer one-to-one consultations and there will be opportunities for more informal networking.
Programme Overview
Week 1: Text Analysis & Machine Learning with AI (4-day introductory programme : 6th - 9th April)
Week 2: Advanced Sessions (Four 1-day sessions : 11th, 12th, 13th & 14th April).Topics may include:
- Social Media Networks
- Image Analysis
- Deep Learning and AI
- Psycho Linguistic Data Sets
Participants can chose to join either / both weeks in full, or in week 2 you are welcome to simply join for individual days.
Sessions will be suitable for PhD and postdoctoral researchers, as well as early-career and senior academics. In addition to training, there will be opportunities for participants to develop new interdisciplinary research collaborations.
Bursaries
Bursaries will be available to cover some or all of the course fees, and will be available in the following ways:
- University of Exeter students and staff: will be automatically considered for a bursary from the University of Exeter
- Non-University of Exeter participants can apply for a bursary from NCRM. To check eligibility and make a NCRM bursary application please click the link on this page
For more information about how to apply please follow the registration link below.
Cost:
Programme Fees: Per week - University of Exeter Students & Staff £100 / External Participants £200, Per Day - Exeter Students & Staff £40 / External Participants £80. Please note that the first week must be attended in full.
Website and registration:
Region:
South West
Keywords:
Social media data, Visual Data Analysis, Textual Analysis, Machine learning, Social Network Analysis
Related publications and presentations:
Social media data
Visual Data Analysis
Textual Analysis
Machine learning
Social Network Analysis