2nd Workshop on ​Mathematics for Social Activism, University of Leeds, UK 

news :: 2019
von Andreas Nitsche am 06. Juni 2019 Nur in Englisch verfügbar

2nd Workshop on ​Mathematics for Social Activism
School of Mathematics, University of Leeds, June 6-7 2019

The 2-day workshop brings together mathematicians and data analysts from academia, industry, NGOs and government, focused on how mathematics and data can and are being used to drive social progress.

The Talks cover topics including: using data and mathematical modelling to understand and tackle contemporary challenges (e.g. climate change, public health issues, poverty & inequality), mathematical modelling of social processes and polarisation in society, mathematical modelling of sustainable development, the mathematics of democratic decision making, effective data communication, opportunities and risks in automated AI systems.

June 6

  • Dynamics on (small) networks
    Jonathan Ward, University of Leeds, UK
  • The Companies We Keep: Using network graphs to map corporate control
    Adam Hill, Datakind, UK
  • To apprehend or not apprehend: Ending strikes in a University
    Betty Kivumbi Nannyonga, Makerere University, Uganda
  • Preference aggregation algorithms for a fair deliberation and decision making process
    Andreas Nitsche, Interaktive Demokratie e. V., Germany
  • Modelling the Subnational Risk of Acute Malnutrition in Conflict-Affected Settings
    Karsten Donnay, University of Konstanz, Germany
  • The Dangers of Algorithms: Real and imagined

    David Sumpter, Uppsala University, Sweden

June 7

  • Mathematical Modelling Influences Ideas about Poverty Traps and Poverty Alleviation
    Steven Lade, Australian National University, Australia
  • Harvesting Citizen Input from UK Parliaments’ digital engagement activities
    Nicole Nisbett, House of Commons & University of Leeds, UK
  • Communication in Online Social Networks Fosters Cultural Isolation
    Michael Mäs, University of Groningen, Netherlands
  • Unravelling Global Supply Chains to access the environmental impacts of consumption
    Anne Owen, University of Leeds, UK

Funded by the London Mathematical Society