Dr. Alejandra Nuñez

National Laboratory of Public Policy, Mexico

Areas of expertise

  • Collective intelligence techniques
  • Public policy advisory


  • PhD in Public Policy from the Center for Research and Teaching in Economics (CIDE), Mexico
  • Master degree in Strategic Foresight from Monterrey Institute of Technology and Higher Education (ITESM), Mexico
  • Joint diploma in Public Management of Metropolitan Regions from Deusto University and the International Consortium Menéndez Pelayo (CUIMP), Spain
Understanding complex issues is like solving a Rubik's cube: In order to win you have to recognise the effect of a movement on the other side of the cube and on the final goal. So, you need a comprehensive view of the situation. Regarding social issues, the better way to achieve this kind of understanding is through collective intelligence.

Alejandra is researcher at the National Laboratory of Public Policy (LNPP). Her contribution centers on advancing a better understanding of decision making, particularly between groups of public and private organisations tackling social and complex issues. She is specialised in techniques based on foresight and collective intelligence, while incorporating the principles of behavioural science in the design of participatory group sessions both face to face and online.

During her current position, she has been designing research methods’ components for a wide range of applied research topics; primarily focusing on a mixed method approach. Her main research topics are compliance, conflict of interest, working motivation, retirement savings, climate change, resilience, among others.

Before joining the LNPP, she coordinated the research and consultancy area associated to the Public Policy graduate school (EGAP) at Monterrey Institute of Technology and Higher Education (ITESM), where she kept an intense agenda working alongside subnational governments for the creation of the national platform of Identification of Strategic Development Opportunities for all the Mexican states. This included defining the methodology for the identification and analysis of megatrends.