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assignmentutor-lab™ 为您的留学生涯保驾护航 在代写发展经济学Development Economics方面已经树立了自己的口碑, 保证靠谱, 高质且原创的统计Statistics代写服务。我们的专家在代写发展经济学Development Economics代写方面经验极为丰富，各种代写发展经济学Development Economics相关的作业也就用不着说。

• Statistical Inference 统计推断
• Statistical Computing 统计计算
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 经济代写|发展经济学代写Development Economics代考|How Can We Take Advantage of New Technologies to Address New Challenges?

As discussed earlier in this chapter, tracking the progress of the SDGs requires a way of working that is faster, more collaborative and more sensitive to complexity. Technology offers real possibilities for evaluators to rise up to the challenges that SDGs present, by using faster feedback loops, collaborating on a global scale and dissecting complexity.

Faster feedback loops. Technology and ICTs in particular offer the evaluation community unprecedented opportunities for more real-time, effective and efficient evaluation, even in humanitarian contexts. Satellite images of land and forests can provide finely detailed data on climate change. Drones or geo-referenced photos can make it possible to evaluate interventions in areas that are not accessible for security reasons. Data analysis of social media or radio broadcasts can make available billions of data points on cultural beliefs and social norms. And artificial intelligence may be able to analyse billions of data points in an incrementally reliable manner – even producing evaluation reports instead of human evaluators! Evaluators might even be able to go beyond simply disseminating evaluation messages. They could create a lasting impact among populations and policymakers through near real-life simulations using virtual reality. All of this will mean that evaluations can close the loop – from data collection to analysis to creation of knowledge and feedback into SDG monitoring – much faster. This is especially important in light of the SDGs’ ambitious timeline.

Collaboration on a global scale and ease of partnerships. Just as achieving the SDGs requires comprehensive and global partnerships due to their interrelatedness, tracking progress towards their achievement requires a similar collaboration. ICTs make it much easier to facilitate such collaboration. The near ubiquity of the Internet and the advent of cloud storage and cloud-based applications means that development partners across the world can communicate, collaborate seamlessly and report on progress accordingly. The prevalence of application programme interfaces (APIs) enables datasets of various kinds, produced by various actors around the world, to be used to track numerous indicators while triangulating analysis and making it more rigorous.

## 经济代写|发展经济学代写Development Economics代考|Marco Segone

The key bodies responsible for implementing country-led evaluations within each country are national governments. Since national SDG reviews are voluntary, the commitment of governments is critical, particularly as they are the ones who have to decide how to divide their limited financial and technical resources among many different development priorities, which are supported by different groups of international and national stakeholders. Given the broad scope of the SDGs, almost all government agencies could be involved, with the national government playing an important coordinating role. At the national level, donor agencies, UN agencies, CSOs, academia, scientific community, advocacy groups and foundations can all contribute to the evaluation agenda. However, the interconnectedness of the SDG system means that it is vital to avoid the “silo mentality” of many MDG monitoring and evaluation activities, with each donor agency, CSO and $\mathrm{UN}$ agency conducting its own study, often with limited coordination, significant duplication and little comparability of data between entities.
The Inter-Agency Expert Group on SDG Indicators (IAEG-SDGs) is seeking to avoid these dangers by advocating for a global indicator framework for the SDGs that would be agreed upon by all member states, with national and subnational indicators used for more localized policy interventions. CSOs, including voluntary organizations for professional evaluation (VOPES), should play an important role in the country-led evaluations at both the national and local levels (ACSC, 2016). Their contribution will be critical in ensuring a truly inclusive consultation and participatory approach.

# 发展经济学代考

## 有限元方法代写

assignmentutor™作为专业的留学生服务机构，多年来已为美国、英国、加拿大、澳洲等留学热门地的学生提供专业的学术服务，包括但不限于Essay代写，Assignment代写，Dissertation代写，Report代写，小组作业代写，Proposal代写，Paper代写，Presentation代写，计算机作业代写，论文修改和润色，网课代做，exam代考等等。写作范围涵盖高中，本科，研究生等海外留学全阶段，辐射金融，经济学，会计学，审计学，管理学等全球99%专业科目。写作团队既有专业英语母语作者，也有海外名校硕博留学生，每位写作老师都拥有过硬的语言能力，专业的学科背景和学术写作经验。我们承诺100%原创，100%专业，100%准时，100%满意。

## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。

assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师
assignmentutor™您的专属作业导师