登录查看更多内容

What are the best ways to use data for sustainability?

由人工智能和领英社区提供技术支持

Data is a powerful tool for sustainability, especially for environmental engineers who design and manage systems that reduce environmental impacts and enhance human well-being. But how can you use data effectively to achieve your sustainability goals? In this article, we will explore some of the best ways to use data for sustainability, from collecting and analyzing data, to communicating and applying data, to improving and innovating with data.

在这篇协作文章中查找专家回答

由社区从 4 条内容中精选。了解更多

1 Collecting data

The first step to use data for sustainability is to collect relevant and reliable data that can help you measure and monitor your environmental performance and impacts. You can use various sources and methods to collect data, such as sensors, surveys, databases, reports, or audits. Depending on your project and objectives, you may need to collect data on different aspects of sustainability, such as energy consumption, greenhouse gas emissions, water quality, waste generation, biodiversity, or social equity. You should also consider the frequency, accuracy, and completeness of your data collection, as well as the ethical and legal implications of your data collection.

添加您的观点

Guillermo Migallón Martínez

Business Manager IT en Davidson Ibérica
举报内容
Ordenar esta recopilación, asignar los roles de cada persona para hacerlo y validarlos internamente será clave para triunfar elaborando un reporte, una memoria o un cálculo. Seguir los procedimientos o contar con las herramientas adecuadas nos ayudará a posteriori a poder validar y auditar esta información.

已翻译

赞
JEAN ESDRAS GNAMBA

Aspirant expert en planification stratégique | Projet de développement
举报内容
Effectively harnessing data for sustainable development involves precise data collection, trend analysis, visualization, key performance indicator utilization, diverse data integration, adoption of advanced technologies, transparent data sharing, assessment of social impacts, prospective modeling, and continuous feedback to guide efforts toward sustainable outcomes.

已翻译

赞

2 Analyzing data

The next step to use data for sustainability is to analyze the data you have collected to identify patterns, trends, correlations, or anomalies that can help you understand and evaluate your environmental performance and impacts. You can use various tools and techniques to analyze data, such as statistics, graphs, charts, maps, models, or indicators. Depending on your project and objectives, you may need to analyze data on different levels of aggregation, comparison, or integration, such as by location, time, sector, or system. You should also consider the validity, reliability, and uncertainty of your data analysis, as well as the assumptions and limitations of your data analysis.

添加您的观点

Guillermo Migallón Martínez

Business Manager IT en Davidson Ibérica
举报内容
Mediante herramientas como estadísticas, gráficos, tablas y modelos, se pueden identificar patrones, tendencias y correlaciones significativas. Este análisis permite una comprensión más profunda de la información recopilada y facilita la toma de decisiones informadas. La diversidad en los niveles de agregación, comparación e integración de datos, ya sea por ubicación, tiempo, sector o sistema, es esencial para obtener una visión completa. Sin embargo, es crucial considerar la validez, fiabilidad y posibles incertidumbres en el análisis, así como las suposiciones y limitaciones inherentes a los datos.

已翻译

赞

3 Communicating data

The third step to use data for sustainability is to communicate the data you have analyzed to inform and influence your stakeholders, such as clients, partners, regulators, or the public. You can use various formats and channels to communicate data, such as reports, presentations, dashboards, infographics, or stories. Depending on your project and objectives, you may need to communicate data on different aspects of sustainability, such as goals, achievements, challenges, or opportunities. You should also consider the purpose, audience, and context of your data communication, as well as the clarity, relevance, and credibility of your data communication.

添加您的观点

4 Applying data

The fourth step to use data for sustainability is to apply the data you have communicated to support and improve your decision-making and action-taking for sustainability. You can use various frameworks and methods to apply data, such as life cycle assessment, cost-benefit analysis, multi-criteria analysis, or optimization. Depending on your project and objectives, you may need to apply data on different stages of sustainability, such as planning, designing, implementing, or evaluating. You should also consider the feasibility, effectiveness, and efficiency of your data application, as well as the trade-offs and synergies of your data application.

添加您的观点

5 Improving data

The fifth step to use data for sustainability is to improve the data you have applied to enhance and refine your data quality and utility for sustainability. You can use various strategies and practices to improve data, such as verification, validation, calibration, or feedback. Depending on your project and objectives, you may need to improve data on different aspects of sustainability, such as accuracy, completeness, consistency, or timeliness. You should also consider the sources, methods, and tools of your data improvement, as well as the benefits and costs of your data improvement.

添加您的观点

Guillermo Migallón Martínez

Business Manager IT en Davidson Ibérica
举报内容
A través de marcos como la evaluación del ciclo de vida, análisis de coste-beneficio, y métodos como el análisis multicriterio u optimización, se fortalece el proceso de aplicación de datos. La versatilidad en la aplicación de datos a lo largo de diferentes etapas de sostenibilidad -desde la planificación hasta la evaluación- permite una integración efectiva en el proceso. No obstante, es esencial considerar la viabilidad, eficacia y eficiencia en esta aplicación, evaluando cuidadosamente las ventajas, desventajas y sinergias inherentes al uso de los datos.

已翻译

赞

6 Innovating with data

The sixth and final step to use data for sustainability is to innovate with the data you have improved to create and discover new and better solutions for sustainability. You can use various approaches and techniques to innovate with data, such as visualization, simulation, machine learning, or artificial intelligence. Depending on your project and objectives, you may need to innovate with data on different dimensions of sustainability, such as environmental, social, or economic. You should also consider the opportunities, challenges, and risks of your data innovation, as well as the ethical and legal implications of your data innovation.

添加您的观点

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

添加您的观点

Environmental Engineering

+ 关注

给文章评分

我们借助人工智能创建了此文章。您认为这篇文章怎么样？

很棒不太好

举报此文章

查看全部

What are the best ways to use data for sustainability?

1

2

3

4

5

6

7

1 Collecting data

2 Analyzing data

3 Communicating data

4 Applying data

5 Improving data

6 Innovating with data

7 Here’s what else to consider

Environmental Engineering

给文章评分

感谢您的反馈

更多Environmental Engineering相关文章

更多相关阅读内容

What are the best ways to use data for sustainability?

1

2

3

4

5

6

7

1 Collecting data

2 Analyzing data

3 Communicating data

4 Applying data

5 Improving data

6 Innovating with data

7 Here’s what else to consider

Environmental Engineering

给文章评分

感谢您的反馈

查看其他技能