Course Details

Technology for Social Good: AI & Big Data for NGOs Training Course

INTRODUCTION

In an increasingly digital world, NGOs have the opportunity to leverage cutting-edge technologies like Artificial Intelligence (AI) and Big Data to amplify their impact and drive social good. Our "Technology for Social Good: AI & Big Data for NGOs" training course equips organizations with the knowledge and practical skills to harness these powerful tools for data-driven decision-making, improved program delivery, and enhanced outreach. This program demystifies complex technologies, demonstrating their potential to address critical social challenges and empower NGOs to operate more efficiently and effectively.

This comprehensive course delves into key areas such as data collection and analysis, AI applications in humanitarian contexts, ethical considerations, and project implementation. Participants will learn to identify relevant use cases, develop data-driven strategies, and build partnerships for successful technology adoption. Each module provides practical guidance, case studies, and hands-on exercises, ensuring that NGOs can confidently integrate AI and Big Data into their operations and maximize their social impact.

DURATION

5 days

TARGET AUDIENCE

• NGO program managers and coordinators
• Data analysts and IT professionals in NGOs
• Fundraising and development officers
• Monitoring and evaluation specialists
• NGO leadership and strategic planners

OBJECTIVES

• To understand the fundamentals of AI and Big Data and their applications in the social sector.
• To develop skills in collecting, analyzing, and visualizing social data.
• To identify relevant use cases for AI and Big Data in NGO programs.
• To learn how to implement AI and Big Data projects ethically and responsibly.
• To build partnerships and collaborations for technology adoption.

COURSE MODULES

Module 1: Introduction to AI and Big Data for Social Good

• Understanding the concepts of AI and Big Data.
• Exploring the potential of these technologies for addressing social challenges.
• Analyzing case studies of successful AI and Big Data applications in NGOs.
• Understanding the ethical considerations and challenges of using these technologies.
• Identifying relevant data sources and tools for social impact.

Module 2: Data Collection and Management

• Developing data collection strategies for social impact projects.
• Utilizing various data collection tools and technologies.
• Ensuring data quality and security.
• Implementing data management systems and protocols.
• Understanding data privacy and consent.

Module 3: Data Analysis and Visualization

• Utilizing data analysis techniques to extract insights from social data.
• Developing data visualization tools and dashboards for reporting.
• Interpreting data to inform program design and implementation.
• Utilizing statistical methods for data analysis.
• Identifying patterns and trends in social data.

Module 4: AI Applications in Humanitarian and Development Contexts

• Exploring AI applications in areas such as disaster response, health, and education.
• Utilizing machine learning for predictive analytics and resource allocation.
• Implementing AI-powered chatbots and communication tools.
• Developing AI-driven solutions for data-driven decision-making.
• Understanding the limitations and biases of AI models.

Module 5: Ethical Considerations and Responsible AI

• Understanding the ethical implications of using AI in the social sector.
• Addressing issues of bias, fairness, and transparency in AI systems.
• Developing ethical guidelines and frameworks for AI implementation.
• Ensuring accountability and responsible data usage.
• Promoting human-centered AI design.

Module 6: Project Implementation and Management

• Developing project plans for AI and Big Data initiatives.
• Managing technology implementation and integration.
• Building internal capacity for technology adoption.
• Utilizing agile methodologies for project management.
• Ensuring sustainability and scalability of technology solutions.

Module 7: Building Partnerships and Collaborations

• Identifying potential partners for technology projects.
• Building collaborations with technology companies and research institutions.
• Developing data sharing agreements and partnerships.
• Leveraging open-source tools and platforms.
• Fostering a culture of innovation and collaboration.

Module 8: Monitoring, Evaluation, and Impact Assessment

• Developing frameworks for monitoring and evaluating technology-driven programs.
• Measuring the impact of AI and Big Data interventions.
• Utilizing data to demonstrate the effectiveness of technology solutions.
• Ensuring accountability and transparency in reporting.
• Sharing best practices and lessons learned on technology for social good.

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

• Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com