NCRM/Exeter Computational Communication Methods Spring School

Course Code

HUB-10-21/22-P-R

Organised by

University of Exeter

Presenter

Professor Susan Banducci and others

Date

06/04/2022 - 14/04/2022

Venue

University of Exeter
Streatham Rise
Exeter

Map

View in Google Maps  (EX4 4PE)

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.

Level

Intermediate (some prior knowledge)

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

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