Deep Learning for Political Science

no code implementations • 13 May 2020 • Kakia Chatsiou, Slava Jankin Mikhaylov

New developments in the areas of machine learning, deep learning, natural language processing (NLP), and, more generally, artificial intelligence (AI) are opening up new opportunities for testing theories and evaluating the impact of interventions and programs in a more dynamic and effective way.

BIG-bench Machine Learning

Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration

no code implementations • 12 Sep 2018 • Slava Jankin Mikhaylov, Marc Esteve, Averill Campion

The long-term success of data science and AI in the public sector relies on effectively embedding it into delivery solutions for policy implementation.

Management

Transfer Topic Labeling with Domain-Specific Knowledge Base: An Analysis of UK House of Commons Speeches 1935-2014

no code implementations • 3 Jun 2018 • Alexander Herzog, Peter John, Slava Jankin Mikhaylov

Topic models are widely used in natural language processing, allowing researchers to estimate the underlying themes in a collection of documents.

Topic Models

Multiplex Communities and the Emergence of International Conflict

no code implementations • 2 Jun 2018 • Caleb Pomeroy, Niheer Dasandi, Slava Jankin Mikhaylov

Advances in community detection reveal new insights into multiplex and multilayer networks.

Community Detection