In Mexico, political parties are recognizing the importance of data science in the political sphere. It has been evidenced that those who manage to understand and handle this discipline will not only increase their chances of winning elections but will also position themselves as leaders in shaping the political future of the country. By the year 2027, when 16 states will elect new governors, and particularly in the presidential election of 2030, the crucial role of data in Mexican politics is expected to be even more relevant.
Data science goes beyond mere numbers and graphs, encompassing various fields such as health, commerce, sports, and research. While traditional political instinct, strategic intuitions, and conventional campaigns still have their place, the true key to success in elections today lies in the effective implementation of data-driven strategies.
The precision of analyzing the emotions and thoughts of the population can reach between 70 and 95 percent, depending on the quality of the data and the methodological approach used. This data is obtained from various sources, such as surveys, official records, social media, search patterns, geolocation, and even the analysis of the language used in political speeches.
A concrete piece of evidence of the effectiveness of this strategy was the use of data analysis by Javier Milei in Argentina, who identified the topics that concerned society the most to build his image as a political outsider. This discipline combines mathematics, statistics, artificial intelligence, and programming to understand, predict, and influence electoral behavior, being a decisive factor in the difference between winning and losing an election.
The application of data science in political campaigns is being tested in upcoming local elections in Durango and Veracruz, as well as in the election of judges and magistrates. The ability to manage and apply data analysis effectively will provide significant strategic advantages to campaign teams. It is not simply a passing trend but a fundamental tool for understanding the needs and concerns of the population.
Constant validation and adherence to ethical principles are fundamental in the use of data science in politics. Through this discipline, it is possible to design customized campaigns that focus directly on voters' concerns, using the information gathered in structured surveys to provide precise and relevant messages.
In the international context, examples like the voter segmentation strategy used by Donald Trump in the United States highlight the importance of understanding the audience and connecting emotionally through specific messages. In summary, data science has established itself as a fundamental pillar in modern politics, providing political actors with powerful tools to understand, predict, and shape electoral behavior based on concrete and relevant data.
