Francisco J. Aragón-Artacho is an associate professor of statistics and operations research at the University of Alicante, Spain. After obtaining a PhD in Mathematics at the University of Murcia in 2007, he worked as an analyst for a private business company in Madrid for nearly a year. Subsequently, he held several postdoctoral positions at the University of Alicante, University of Newcastle (Australia) and the Luxembourg Centre for Systems Biomedicine. His main research topics are in the area of convex and set-valued analysis, with special emphasis in the development of optimization and feasibility algorithms. He has published 39 research papers and the textbook Nonlinear Optimization (Springer, 2019), coauthored by M.A Goberna, M.A. López, and M.M.L. Rodríguez. Possibly his best-known work is Walking on real numbers (Math. Intelligencer 35, 2013), coauthored with D.H. Bailey, J.M Borwein and P.B. Borwein, which features a massive image generated on the first100 billion base-4 digits of ¿. He has served as Associate Editor for the journals Optimization Letters (since 2022) and Fixed Point Theory (since 2021).

Miguel A. Goberna is an emeritus professor of statistics and operations research at the University of Alicante, Spain. He received a PhD in Mathematics in 1979 from the University of Valencia. His main research areas appear in the title, Geometry, Optimization, and Convex Analysis, of the Special Issue of the Springer journal Set-Valued and Variational Analysis in occasion of his 70th anniversary (Volume 30, No. 4, December 2022). He has published more than 150 research papers, but he is better known by his monographs Linear Semi-Infinite Optimization (J. Wiley, 1998), Post-Optimal Analysis in Linear Semi-Infinite Optimization (Springer, 2014) and Even Convexity and Optimization (Springer, 2020), and by his textbooks Algebra and Fundamentals (Ariel, 2000, in Spanish), LinearOptimization (McGraw-Hill, 2004, in Spanish) and Nonlinear Optimization (Springer, 2019). He has also published numerous articles on mathematics and/or politics, history of mathematics, education, etc. He has been Editor-in-Chief of the operations research Springer journal TOP between 2013 and 2016.

Foreword.- Mathematical tools for political decision-making.- Feasibility (or how to meet requirements).- Scalar optimization (or how to make the best decision).- Vector optimization (or how to make insurmountable decisions).- Big data (or how to decide using massive information).- The impact of political decisions on mathematics.- References.- Nomenclature.- List of boxes.-Index.