Without statistics, sustainability would remain an aspiration rather than an achievable goal. Every measurement, every target, every policy decision in the sustainability domain fundamentally depends on statistical methodology. As the International Statistical Institute (ISI) advances into its next decade, we must recognize that statistics is not merely supportive of sustainability efforts—it is the indispensable foundation upon which all meaningful environmental action rests.

Statistics as the Cornerstone of Environmental Understanding

Sustainability is fundamentally a measurement problem. Without precise quantification of environmental states, accurate assessment of intervention effects, and reliable prediction of future scenarios, sustainability efforts cannot transcend well-intentioned guesswork. Statistics provides the essential infrastructure for this quantification.

Consider carbon accounting, the foundation of all climate action. Every carbon footprint calculation depends on statistical sampling theory to extrapolate from limited measurements to population-level estimates. Life cycle assessments rely on uncertainty propagation methods to combine measurement errors across complex supply chains. Carbon offset verification requires statistical hypothesis testing to establish additionality claims. These are not peripheral concerns—they are the methodological requirements that make carbon markets and climate policy mathematically defensible.

The circular economy, perhaps the most promising framework for sustainable resource management, is entirely dependent on statistical modeling. Material flow analysis uses input-output models to track resource streams through economic systems. Waste stream optimization requires statistical process control methods. Product lifecycle extension strategies depend on survival analysis and reliability theory. Without these statistical foundations, circular economy initiatives would lack the quantitative framework necessary for implementation and evaluation.

The Statistical Architecture of Sustainable Systems

Renewable energy systems exemplify statistics' foundational role in sustainability. Wind and solar power generation forecasting relies on stochastic processes and time series analysis to predict energy availability. Grid integration of renewable sources requires statistical optimization methods to balance supply and demand variability. Energy storage sizing depends on extreme value statistics to ensure system reliability during rare but critical events.

Similarly, sustainable agriculture is built on statistical principles. Precision agriculture uses spatial statistics and geostatistics to optimize resource application. Climate-smart crop selection requires statistical modeling of weather patterns and their agricultural impacts. Soil health monitoring depends on sampling theory and experimental design to detect changes in complex biological systems.

Urban sustainability planning fundamentally relies on statistical methods. Smart city initiatives use statistical learning algorithms to optimize traffic flows, energy consumption, and waste management. Urban heat island mitigation requires spatial statistical analysis to identify intervention priorities. Sustainable transportation planning depends on statistical models of human mobility patterns and infrastructure performance.

In 1885, a visionary group of statisticians founded the International Statistical Institute (ISI)—a global platform for advancing statistical science and collaboration. Now, 140 years later, the ISI remains a beacon of statistical independence and innovation in a world increasingly shaped by data. It is a vibrant and committed community, powered by active members, dedicated officers, and our seven semi-autonomous associations that add even more energy through their own initiatives and events.

From 2009 to 2022, I had the privilege of serving as Director of the ISI. It was a time of rapid global transformation, during which the role of statistics became not only more visible, but more vital than ever. We worked to strengthen the ISI’s core pillars—such as the World Statistics Congresses—while broadening our global reach through initiatives focused on building statistical capacity in developing countries and supporting the use of statistics during times of crisis.

Throughout those years, I met an extraordinary number of people within the ISI and beyond—from every corner of the globe, from Africa to Asia, the Americas to Europe. I remain deeply impressed by the drive and dedication of so many, particularly those involved in organizing the World Statistics Congresses. Their boundless energy and commitment to excellence were truly inspiring. My role also led to rich exchanges with national statistical societies and numerous international and supranational organizations. Of course, there were challenges along the way—sometimes significant ones—but thanks to the dedication of the Executive Committees and ISI Permanent Office staff, we overcame them all. These experiences not only enriched my professional journey, but strengthened my belief in the power of international cooperation and open dialogue within our community.

 A cornerstone of the ISI’s mission has always been its unwavering commitment to professional ethics. In an era of exponential data growth and algorithmic decision-making, ethical standards are not optional—they are essential. The ISI’s Declaration on Professional Ethics continues to serve as a global reference point, emphasizing that impartiality, integrity, and respect for privacy must guide everything we do.