Paper by Noveck, Beth Simone; Koga, Kaitlin; Aceves Garcia, Rafael; Deleanu, Hannah; Cantú-Pedraza, Dinorah: “Corruption presents a fundamental threat to the stability and prosperity of Mexico and combating it demands approaches that are both principled and practical. In 2017, the Inter-American Development Bank (IDB) approved project ME-T1351 to support Mexico in its fight against corruption using Open Innovation. Thus, the IDB partnered with the Governance Lab at NYU to support Mexico’s Secretariat of Public Service (Secretaría de la Función Pública) to identify innovative ideas and then turns them into practical implementation plans for the measurement, detection, and prevention of corruption in Mexico using the GovLab’s open innovation methodology named Smarter Crowdsourcing.
The purpose of Smarter Crowdsourcing was to identify concrete solutions that include the use of data analysis and technology to tackle corruption in the public sector. This document contains 13 implementation plans laying out practical ways to address corruption. The plans emerged from “Smarter Crowdsourcing Anti-Corruption,” a method that is an agile process, which begins with robust problem definition followed by online sourcing of global expertise to surface innovative solutions. Smarter Crowdsourcing Anti-Corruption focused on six specific challenges: (i) measuring corruption and its costs, (ii) strengthening integrity in the judiciary, (iii) engaging the public in anti-corruption efforts, (iv) whistleblowing, (v) effective prosecution, and (vi) tracking and analyzing money flows…(More)”.