Archive for April 2023

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[Commlist] call for participants: Social Data School

Mon Apr 24 13:07:33 GMT 2023





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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