NCRM UoE Computational Communication Methods Spring School - APPLY NOW
Two 4-day sessions providing training for researchers interested in Computational Social Science
Researchers interested in computational social science will be given the chance to learn new skills at a spring school in April 2022. 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 University of Exeter Q-Step Centre workshop | |
|---|---|
| Date | 6 - 14 April 2022 |
| Provider | The University of Exeter Q-Step Centre |
Event details
The school will take place at the University of Exeter over two 4-day sessions on 6-16 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 session)
Week 2: Advanced Sessions (Four 1-day sessions). Topics will include:
Social Media Networks (Monday) delivered by Dr Iulia Cioroianu
Deep Learning and AI (Tuesday) delivered by Dr Pikakshi Manchanda
Data Ethics for Computational Research (Wednesday) delivered by Dr Silvia Milano
Image Analysis (Thursday) delivered by Dr Constantine Boussalis
Participants can chose to join either/both weeks 1 and 2, 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 busary from the University of Exeter
- Non-University of Exeter participants: you can apply for a bursary from NCRM. To check eligibility and make a NCRM bursary application please click here
Programme Fees
Standard Course Fees
University of Exeter Students & Staff
Per Week £100
Per Day £40
External Participants
Per Week £200
Per Day £80
