CO3

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