Brief Overview of a 360-in-525 Minutes Course Set

For more details see Overview of a 360-in-525 Minutes Course Set in Data Sciences, Spring 2018

360-in-525-2: Social Media and Big Data

This is a two-full-days workshop (2 hp) on April 26-27 2018. Prerequisites: 360-in-525-1 or Introduction to data Science (the Fall 2017 UU inter-faculty course). The first day will be an introduction to the domain by Professor Simon Lindgren, a digital sociologist from Umea and the second day will build towards making one’s own twitter experimental designs in real-time. This module will introduce you to topic modeling and other simple pipelines in natural language processing.
The course will give you the basic skills needed to go further and investigate the influence, if any, of micro propaganda machines (as shown below) or other similar opinion engineering operations, for instance.

micro propaganda machine

We will ingest global news streams from the gdelt project with embeddings and models to gain insights into current affairs (see below).

gdelt project globe image

Course Content


  • Thursday April 26th 2018 0815 hours : 2001, Ångström mazemap
  • Thursday April 26th 2018 1330 hours : 6K1113, Ångström mazemap

I am aware that the Meetup site was busted (temporarily, and hopefully not recurrently!).

YouTube Archive of all lab-lectures:

Realized SCHEDULE for April 26th 2018

360-in-525-2: Social Media and Big Data on April 27 2018


  • Friday April 27th 2018 0815 hours : 6K1113, Ångström mazemap
  • Friday April 27th 2018 1330 hours : 4003, Ångström mazemap

  • 000-090 of 360 Minutes:
  • Fika break 30 minutes - sponsored by Combient AB
  • 091-180 of 360 Minutes:
  • Lunch
  • 181-270 of 360 Minutes:
  • Fika break 30 minutes - sponsored by Combient AB
  • 271-360 of 360 Minutes:

Additional Links for Lab-Lectures

The English Civilizing Process: London’s Old Bailey and the evolution of English law

  • On inferential thinking for digital sociology and humanities
  • What is the Data? Why did people support the printing and archiving of court proceedings in London’s Old Bailey Court? etc.
  • Illustrating inferential thinking on the ``English Civilizing Process’’ from Old Bailey Online dataset as XML files:
    • for example, did capital punishment for offence types really change between 1673 and 1911 in London?
  • Fusing inferential thinking with computational thinking in one place using Apache Spark (same code can scale to petabytes, if needed!)

All databricks notebooks

Import all databricks notebooks for this module as a .dbc file from:

All Jupyter notebooks by Simon Lindgren