Data Management and AI Integration Training

1.BACKGROUND

Asmae-Association Soeur Emmanuelle (Asmae)

A French international NGO and registered charity, specializing in child development. Independent, secular, and apolitical, it is open to all. Founded in 1980 by Sister Emmanuelle, based on her experience with rag pickers in the slums of Cairo, Asmae continues its actions in line with the values and methods inherited from its founder: listening and proximity, pragmatism, taking account of differences, professionalism, and reciprocity. Asmae's actions aim to support vulnerable children, youth and their families through personalized and continuing support for local actors working in the fields of education and child protection.

Asmae has been operating in Lebanon through local partners since 1986. The organization is currently collaborating with five Lebanese NGOs, working in and around Beirut, South Lebanon (Tyre), Naher El Bared, Mount Lebanon (Chouf), and Ain El Helwe camps, with some activities also taking place in other parts of Lebanon.

Imam Sader Foundation  

Imam Al-Sadr Foundations (ISF) is a Lebanese, non-governmental, non-profit association, founded by Mr. Musa Al-Sadr, and began its activities in 1963 with the mission of striving towards an advanced society that believes in social justice, free from ignorance, poverty, disease and violence, and where opportunities are equal for all. The Imam al-Sadr Foundation strives, through its vision, to empower women, youth, and children to achieve self-reliance, and to build a safe and dignified life, based on the values of tolerance, justice, and mutual trust, through educational, rehabilitative, cultural, health, social, and economic programs. Education is one of the cornerstones of the Foundation's ongoing development programmes: pre-school, primary education and specialized curricula designed for children with special needs. Moreover, the School of Nursing at Imam Sadr Institutions has enabled thousands of graduates to find gainful employment and thus become economically independent. One of its specialized projects is the Women's Economic Empowerment Program with Intensive Vocational Training Programme, as an approach to empowering women and improving the economic and social conditions of disadvantaged populations. Additionally, the organization's pioneering curriculum for mental health professionals is the first of its kind nationally and trains workers to effectively recognize mental disorders and provide mental health services in rural Southern communities.

Asmae Lebanon is seeking a qualified consultant to deliver a tailored training on comprehensive data management and the integration of Artificial Intelligence (AI) tools in data processes for one of its local partners. The training aims to enhance the partner’s capacities in evidence-based decision-making, data collection, processing, analysis, and utilization.

2. Objectives of the Consultancy

• To strengthen the local partner's understanding and practical skills in data management processes.
• To introduce and build basic competence in using AI tools in data systems.
• To support the development of internal mechanisms for evidence-based programming and MEAL (Monitoring, Evaluation, Accountability and Learning) systems.

3. Scope of Work

The consultant will be responsible for designing and delivering a comprehensive training package covering the following:

A. Core Topics in Data Management

1. Introduction to Data Management and its Importance
2. Assessment Design and Planning
   • Problem analysis, setting indicators
   • Designing assessment tools
3. Data Collection Methods
   • Quantitative and qualitative methods
   • Sampling techniques
   • Ethical considerations and informed consent
4. Data Cleaning and Processing
   • Techniques, quality control, handling missing data
5. Data Analysis
   • Descriptive and inferential analysis
   • Visualization and interpretation
   • Software tools (e.g., Excel, Power BI, Kobo, SPSS, etc.)
6. Data Storage and Security
   • Safe and ethical data storage, data protection principles
7. Integration into MEAL Framework
   • Data use in planning, monitoring, evaluation, and learning
   • Feedback loops and decision-making mechanisms

B. Integration of Artificial Intelligence (AI) in Data Management

1. Introduction to AI and its relevance in humanitarian/development work
2. AI Tools and Applications in Data Collection and Analysis
   • Natural Language Processing, image recognition, predictive analytics
   • Examples of free/low-cost tools suitable for NGOs
3. Data Automation and Visualization
   • Automating data cleaning, dashboards
4. Ethical Considerations in Using AI
   • Data bias, transparency, accountability

C. Practical Applications

• Interactive exercises and case studies
• Hands-on sessions using real or simulated data sets
• Templates, checklists, and resources for ongoing use

4. Deliverables

1. Training Agenda and methodology tailored to the partner’s needs
2. Training Materials (slides, handouts, exercises, case studies)
3. Training Report summarizing:
   • Activities conducted
   • Pre/post-assessment of participant knowledge
   • Recommendations for further capacity strengthening
4. Follow-up Tools: Resource pack or SOPs for internal use by the partner

5. Duration and Timeline

• Estimated duration: 6-8 working days
  • Rapid assessment: 1-2 days
  • Preparation: 1-2 days
  • Delivery: 3–4 days (depending on modules covered)
  • Reporting: 1 day
• Expected timeframe:  June 2025

6. Location

• Training to be held in Tyr, Lebanon

7. Qualifications

The ideal consultant should have:

• Advanced degree in data science, or a related field.
• At least 5 years of experience in MEAL, data management, or AI applications in the humanitarian/development sector.
• Experience working with NGOs and grassroots organizations.
• Demonstrated training/facilitation experience with diverse audiences.
• Familiarity with tools such as Excel, Power BI, Kobo, AI tools (ChatGPT, DataRobot, Tableau, etc.)
• Advance training and facilitation skills
• Excellent communication skills in Arabic and English.