[Commlist] call for participants: Social Data School

Social Data School: 26-30 June 2023 (in-person in Cambridge)


We are delighted to welcome students again to our in-person 2023 Social 
Data School (SDS), organised by Cambridge Digital Humanities at the 
University of Cambridge. After running the SDS completely online for a 
couple of years during the covid pandemic, we are glad to receive you 
for a whole week in Cambridge.


We aim to bring together participants from journalism, academia, 
publicity, and civil society to explore the methods used to create, 
visualise and analyse digital data and its dissemination in society.


You will learn new methods and tools for data-intensive public interest 
investigations and academic research, from leading academics and 
practitioners in the field. At the SDS you will learn by doing during 
in-person sessions and other activities. The school is intensive, but 
extensive online resources will be available to students to help them 
follow up on what they learned in the taught sessions during and after 
the Data School. We encourage anyone working with social data to apply!


Content


As part of the application process, participants will propose a project 
to work on during the five days of the Data School. You may apply with a 
pre-existing project or propose a new project which you will develop 
during the course of the Data School. In either case, projects should 
show great potential to have an impact in the public interest. Taught 
sessions, workshops, keynotes, and other activities will provide 
opportunities for these projects to be developed with teachers and 
peers. Participants will be expected to present their progress and what 
they learned at the end of the school.


Modules will cover the following content in the context of discussions 
about Machine Learning, Social Media, and Decoloniality which will run 
across the whole curriculum:

  * Methodology for Digital Investigations
  * Introduction to Computer Vision and Machine Learning for Investigations
  * Basic Automations for Investigations
  * Geolocation and Open Source Investigations
  * Social Network Analysis
  * Critical Approaches to Data Visualisation
We will have three greatly stimulating keynotes from practitioners 
and/or academics working around those topics:

  * Jacopo Ottaviani <https://www.linkedin.com/in/jacopo-ottaviani/>,
    from Code4Africa, on the work his organisation has done with
    communities, local journalists, and NGOs in Africa.
  * Edgar Gomez Cruz

<https://statics.teams.cdn.office.net/evergreen-assets/safelinks/1/atp-safelinks.html>,
    from the University of Texas at Austin, on ‘Decentering Knowledge’.
  * Sofija Stefanovic
    <https://planetarypraxis.org/people/sofija-stefanovic>, PhD student
    at the Centre for Doctoral Training in Artificial Intelligence for
    Environmental Risk.

In addition, students will be able to use the Cambridge University 
Library, have hands-on exercises with teachers available on-site to 
help, have participatory activities with peers, and go out for dinner in 
Cambridge


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