*Por Marcelo Batista Nery and Fabio Kon
Within the scope of collaborative relationships, the expression “being on the same page” plays a fundamental role. This idiomatic expression reflects the desire to establish an alignment between individuals, sharing common interests and goals, in addition to understanding a certain view or interpretation on a specific subject – even if there is not unanimous agreement. Within the scope of urban public policies, expression plays a crucial role in the search for effective and sustainable solutions.
In order to effectively advance in the field of these policies, it is essential to question whether we are truly aligned with regard to the limitations for an adequate and responsible use of Information Technology (IT) in cities. Indeed, while the potential of these technologies to improve the quality of life in cities is widely recognized, effective implementation faces significant challenges.
One of these challenges is the quality of information, since, in many cases, the amount of data available is considerable, but its condition is far from ideal. Poor data quality can lead to wrong conclusions, inadequate decision-making and, consequently, failed urban public policies. Note that, in the case of Machine Learning, the precision and generalization of the models depend on the quality and representativeness of the data, and underestimation or overestimation of the results may occur; in Spatial Statistics, the availability and quality of geospatial data can be restricted, limiting the analysis and interpretation of spatial patterns; in extracting scientific evidence, it is crucial to consider the propagation of uncertainties, as well as possible biases.
Another important point when the available data is inaccurate, incomplete or unreliable is the use of AI algorithms and statistical analysis models, as they can amplify prejudices and inequalities present in the data, produce discriminatory decisions, undermine confidence in the information based on in science and facilitate the spread of misinformation on a large scale.
Poor data quality and inappropriate use of analysis methods can lead to incorrect predictions, insights misleading and inappropriate decision-making with significant social impact, as they can lead to a distortion of reality, undermining healthy public debate and informed decision-making. Therefore, it is crucial to invest in the collection, processing and analysis of high quality data, ensuring the integrity of the data and the reliability of the scientific conclusions that serve as the basis for the elaboration of these policies. Particular care with the training of human resources capable of carrying out such analyzes with quality is also fundamental. In fact, we need to go far beyond technical issues.
There is a disparity between different actors involved in urban public policies, such as governments, the private sector, civil society organizations and local communities. Each of these actors (civil, political, economic, social, etc.) has its own perspectives, interests and objectives, which can lead to disagreements and lack of alignment. To move forward effectively, it is necessary to establish an ongoing and inclusive dialogue, ensuring that all stakeholders are represented and involved in the decision-making process.
It is also essential to remember the need to develop regulatory frameworks and public policies that guide the use of IT in cities. Rapid technological evolution often outstrips the ability of legal and regulatory systems to keep up. It is essential that governments and institutions are prepared to adapt and update their policies, ensuring that the use of technologies is aligned with collective interests and promotes equity and sustainability in cities.
In summary, being on the same page regarding the use of Data Science and IT in urban public policy is crucial for advancing smart, inclusive, peaceful, non-oppressive and healthy cities. We must understand the current limitations, promoting a more critical and robust analysis of the information generated. It is time to seek a broader alignment between the different actors involved, promoting an inclusive dialogue, investing in training and awareness, and developing appropriate regulatory frameworks. Only then will we be able to take full advantage of the potential of IT to create cities that are more efficient, resilient and focused on the well-being of all.
Marcelo Batista Nery | Researcher at the ABES Think Tank, Technology Transfer Coordinator and Head of the PAHO/WHO Collaborating Center (BRA-61) of the Center for the Study of Violence at the University of São Paulo
Fabio Kon | Full Professor at the Department of Computer Science at the University of São Paulo, coordinator of the collaborative research project InterSCity
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