Linda Slapakova

Photo of Linda Slapakova
Analyst
Cambridge Office

Education

M.Phil. in international relations, St Antony's College, University of Oxford; B.A. in international affairs (European peace and security studies), Vesalius College, Brussels

Media Resources

This researcher is available for interviews.

To arrange an interview, contact RAND Europe Media Relations at +44 (1223) 353 329, x2560, or email europeanmedia@rand.org.

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Overview

Linda Slapakova is an analyst with RAND Europe in the area of defence and security. Her research focuses on the impacts of emerging technologies in defence, emerging security and information threats, and defence workforce and personnel issues. She has managed a range of projects for UK- and EU-based clients in these areas, and is experienced in a range of qualitative and futures methodologies including horizon scanning, workshop facilitation and evaluation. 

Prior to joining RAND, Slapakova conducted research on peacekeeping, conflict resolution and counter-terrorism with organisations in Brussels and the UK including the Crime Terror Nexus Project, the Institute for Economics and Peace, and the Centre for European Policy Studies. She holds an M.Phil. in international relations from the University of Oxford and a B.A. (summa cum laude) in international affairs (European peace and security studies) from Vesalius College Brussels. 

Languages

Czech, English, German, French

Commentary

  • A man puts his biometric passport on a scanner at an automatic border control point at Zurich-Kloten airport near Zurich, Switzerland, December 1, 2010, photo by Arnd Wiegmann/Reuters

    How the EU Can Overcome Barriers to Using Artificial Intelligence in Border Security and Beyond

    Artificial intelligence is increasingly a crucial tool for improvement and innovation in public policy and services. While there are opportunities to harness AI as a tool for improving the effectiveness of border-security functions, there are also barriers to its adoption.

    May 17, 2021 Encompass

  • A hand with megaphone spreading social media news on Coronavirus infection, photo by Feodora Chiosea/Getty Images

    Towards an AI-Based Counter-Disinformation Framework

    Artificial intelligence is being used to develop sophisticated malign information on social media. But AI also provides opportunities to strengthen responses to these threats and can foster wider resilience to disinformation.

    Mar 29, 2021 Hague Diplomacy Blog

  • Virtual human 3D illustration with computer code, photo by monsitj/Getty Images

    A Machine Learning Approach Could Help Counter Disinformation

    Disinformation has become a central feature of the COVID-19 crisis. This type of malign information and high-tech “deepfake” imagery poses a risk to democratic societies worldwide by increasing public mistrust in governments and public authorities. New research highlights new ways to detect and dispel disinformation online.

    Jun 25, 2020 C4ISRNET

Publications

Multimedia