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Training on Crowd Science for Research, Innovation, and Community Engagement

Master Crowd Science to design participatory research projects, collect high-quality data, engage communities, and support evidence-based decision making.
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Last updated Jun 2026
English
Level: Intermediate Format: In-Person & Online Duration: 10 Days Certification
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Training on Crowd Science for Research, Innovation, and Community Engagement - Course Cover Image
Next scheduled session
6 Jul 2026 - 17 Jul 2026
Nairobi, Kenya
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Course Overview

NEW

Organizations need more data than ever before.

Researchers need larger datasets.

Governments need real-time information.

Environmental managers need local observations.

Public health agencies need community-level monitoring.

Cities need citizen feedback.

Development programs need evidence from the field.

Yet budgets are limited.

Research teams are small.

Monitoring systems are often expensive.

And important information frequently exists where experts are not.

It exists within communities.

Among volunteers.

Within local networks.

Across thousands of individuals who observe, experience, and interact with the world every day.

The challenge is not a lack of potential contributors.

The challenge is designing systems that transform public participation into reliable, meaningful, and actionable knowledge.

This is where Crowd Science becomes transformative.

Crowd Science often referred to as Citizen Science, Community Science, Participatory Science, or Crowdsourced Research engages members of the public directly in scientific research, data collection, monitoring, analysis, and knowledge creation.

When properly designed, crowd science projects can generate large-scale datasets, improve scientific literacy, strengthen public engagement, support policy development, and address complex social, environmental, health, and development challenges.

In this course, participants will learn how to design, manage, evaluate, and scale crowd science initiatives that produce high-quality data while fostering meaningful community participation.

And yes, we will discuss why collecting millions of observations is far easier than designing a crowd science project that produces data decision-makers actually trust.

Overview

Crowd Science has emerged as a powerful approach for expanding research capacity, enhancing community participation, improving scientific literacy, and generating large-scale datasets that would be difficult or impossible to obtain through conventional research methods alone.

Crowd Science projects engage volunteers, community members, stakeholders, and non-specialists in scientific and evidence-generation activities. Participants may contribute observations, collect data, analyze information, identify patterns, validate findings, co-design research questions, or participate in decision-making processes.

Applications of Crowd Science span environmental monitoring, biodiversity conservation, climate change adaptation, disaster risk management, public health surveillance, urban planning, agriculture, education, astronomy, social sciences, and digital innovation.

Successful Crowd Science initiatives require careful attention to project design, participant engagement, data quality, ethics, technology platforms, governance arrangements, communication strategies, and impact evaluation. Research has shown that training, quality assurance mechanisms, and project design significantly influence the reliability of citizen-generated data.

This course equips participants with practical skills to design and manage crowd science initiatives, recruit and retain participants, ensure data quality, leverage digital technologies, support community engagement, and maximize scientific and policy impact.

Through practical exercises, project design workshops, stakeholder engagement simulations, data quality assessments, and real-world case studies, participants will gain the expertise required to lead successful crowd science initiatives.

Duration

10 Days

Who Should Attend

  • Researchers and Academics
  • Monitoring and Evaluation Specialists
  • Development Practitioners
  • Environmental Managers
  • Public Health Professionals
  • Community Development Officers
  • Government Research Officers
  • Data Collection Coordinators
  • NGO Program Managers
  • Climate Change Practitioners
  • Conservation Professionals
  • Urban Planning Specialists
  • GIS and Mapping Professionals
  • Innovation Managers
  • Citizen Engagement Specialists
  • Project Managers
  • Policy Analysts
  • Education and Outreach Professionals
  • Digital Transformation Professionals
  • Social Researchers

Course Impact

Individual Impact

  • Strengthen participatory research skills
  • Improve project design competencies
  • Enhance community engagement capabilities
  • Develop data quality management expertise
  • Improve stakeholder communication skills
  • Gain practical crowd science implementation experience
  • Strengthen evidence-based decision-making abilities

Organizational Impact

  • Expand research and monitoring capacity
  • Improve stakeholder engagement
  • Generate larger and richer datasets
  • Reduce data collection costs
  • Strengthen community ownership of programs
  • Improve evidence generation
  • Enhance public trust and participation
  • Support innovation and collaborative problem-solving
  • Improve policy and planning outcomes
  • Strengthen impact measurement capabilities

Course Objectives

By the end of this course, participants will be able to:

  • Understand Crowd Science principles and methodologies
  • Design effective crowd science projects
  • Develop participatory research frameworks
  • Recruit and manage volunteers and contributors
  • Establish data quality assurance systems
  • Apply digital technologies for crowd science
  • Conduct stakeholder and community engagement
  • Design participant training programs
  • Address ethical and legal considerations
  • Manage crowd-generated data effectively
  • Analyze and interpret crowd science data
  • Communicate findings to diverse audiences
  • Evaluate project outcomes and impacts
  • Support policy and decision-making through crowd science
  • Lead large-scale participatory research initiatives

Course Outline

Module 1: Foundations of Crowd Science

Topics

  • Introduction to Crowd Science
  • Citizen Science and participatory research
  • Models of public participation
  • Evolution of crowd science
  • Benefits and limitations
  • Applications across sectors
  • Global trends and best practices

Practical Exercise

Identify opportunities for crowd science within your organization or sector.

Case Study

Large-scale citizen science projects generating impactful research outcomes.

Module 2: Designing Crowd Science Projects

Topics

  • Defining research objectives
  • Project design frameworks
  • Levels of participation
  • Research questions and hypotheses
  • Project lifecycle management
  • Stakeholder needs assessment
  • Success factors in project design

Practical Exercise

Develop a crowd science project concept note.

Case Study

Designing participatory research projects from concept to implementation.

Module 3: Community Engagement and Participant Recruitment

Topics

  • Community mobilization strategies
  • Volunteer recruitment approaches
  • Motivation and participation dynamics
  • Stakeholder engagement
  • Communication strategies
  • Building trust and ownership
  • Retention and recognition mechanisms

Practical Exercise

Develop a participant recruitment and engagement strategy.

Case Study

Building sustainable volunteer networks for research initiatives.

Module 4: Data Collection Methodologies

Topics

  • Observation-based data collection
  • Mobile data collection systems
  • Community monitoring approaches
  • Survey methodologies
  • Participatory mapping
  • Sensor-based crowd science
  • Field protocols and standards

Practical Exercise

Design a crowd-based data collection framework.

Case Study

Community-generated environmental monitoring systems.

Module 5: Data Quality Assurance and Validation

Topics

  • Data quality challenges
  • Validation techniques
  • Verification systems
  • Training and quality improvement
  • Error reduction methods
  • Data reliability assessment
  • Quality control protocols

Practical Exercise

Develop a data quality assurance plan.

Case Study

Improving data accuracy in citizen-generated datasets.

Module 6: Digital Platforms and Technology for Crowd Science

Topics

  • Crowd science platforms
  • Mobile applications
  • Online collaboration tools
  • GIS and mapping technologies
  • Data management systems
  • Open data approaches
  • Emerging technologies

Practical Exercise

Evaluate digital tools suitable for a crowd science project.

Case Study

Technology-enabled large-scale participatory research.

Module 7: Ethics, Governance, and Legal Considerations

Topics

  • Research ethics
  • Informed consent
  • Privacy and data protection
  • Intellectual property considerations
  • Participant rights
  • Governance frameworks
  • Responsible research practices

Practical Exercise

Develop an ethical framework for a crowd science initiative.

Case Study

Managing ethical challenges in participatory research.

Module 8: Data Analysis, Visualization, and Reporting

Topics

  • Crowd-generated data analysis
  • Data interpretation techniques
  • Statistical considerations
  • Visualization methods
  • Dashboard development
  • Reporting frameworks
  • Communicating results

Practical Exercise

Analyze and visualize crowd-generated datasets.

Case Study

Using crowd science data to influence policy decisions.

Module 9: Measuring Impact and Sustainability

Topics

  • Monitoring and evaluation frameworks
  • Scientific impact assessment
  • Social impact measurement
  • Community outcomes
  • Sustainability planning
  • Scaling strategies
  • Long-term engagement models

Practical Exercise

Develop an impact measurement framework.

Case Study

Evaluating successful crowd science initiatives.

Module 10: Designing a Complete Crowd Science Initiative

Topics

  • Project planning integration
  • Stakeholder engagement
  • Data collection systems
  • Quality assurance frameworks
  • Technology integration
  • Monitoring systems
  • Sustainability strategies

Practical Exercise

Develop a comprehensive Crowd Science Project including research objectives, participant engagement plans, data collection methodologies, quality assurance protocols, technology platforms, and impact measurement systems.

Case Study

End-to-end crowd science project implementation simulation.

Prerequisites

No specific prerequisites required. This course is suitable for beginners and professionals alike.

Course Administration and Investment

Whether you join us in a physical boardroom or through our virtual campus, we’ve designed every administrative detail for a seamless, professional experience.

1. Training Fees & Inclusions

Our fees are all inclusive during course hours.

  • Covered: High level tuition, comprehensive materials (digital + physical), mid morning and afternoon refreshments, a full executive lunch, and any scheduled study visits or site tours.
  • Not covered: Travel, visa fees, medical/travel insurance, personal expenses, and accommodation.
2. Enrolment and Onboarding

From registration to the classroom, we keep things clear and efficient.

  • Registration: Find your preferred schedule, click “Register,” complete the form, and submit. Need help? Talk to us directly.
  • Pre Course Assessment: After registering, you’ll receive a diagnostic survey to help facilitators tailor content to your needs.
  • Joining Instructions: Once fees are paid, you’ll receive a Delegate Welcome Pack at least 7 days before the start date (venue maps, virtual access links, and pre reading materials).
3. Logistics and Learning Environment

We provide premium environments optimized for adult learning and networking.

  • Physical Venues: Premium 4 star and 5 star executive boardrooms across our global host cities, with high tier catering.
  • Virtual Instructor Led Training (VILT): High definition, interactive platforms featuring breakout rooms, digital whiteboards, and live technical support.
  • NITA and Regulatory Compliance: Administrative processes align with national training authorities.
4. Materials & Technical Support

You’ll leave with tools that extend the course value far beyond the final day.

  • ForElite Learner Kit: A physical or digital course manual, proprietary templates, and a curated toolkit of industry standard SOPs.
  • On Site / In App Support: Dedicated course coordinators handle technical, dietary, or logistical inquiries in real time.
5. Certification & Assessment

We validate your commitment to excellence with internationally recognized credentials.

  • Attendance Tracking: Rigorous daily logging to meet corporate and regulatory accreditation requirements.
  • Verifiable Credentials: Upon successful completion, you receive a certificate of course completion.
6. Post Course Continuity

Our relationship with you doesn’t end when the course closes.

  • Feedback & ROI Reporting: Detailed post course evaluations to give sponsors clear insight into training impact.
  • Alumni Network Access: Every delegate joins the ForElite Alumni Network for ongoing peer to peer learning and exclusive webinars.

When is the next intake?

Updated
July 2026
6 Jul - 17 Jul 2026
Nairobi, Kenya
10 days
KES 199,998
USD 2,798
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6 Jul - 17 Jul 2026
Dubai, United Arabs Emirates
10 days
USD 7,998
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6 Jul - 17 Jul 2026
Zanzibar, Tanzania
10 days
USD 4,398
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Cape Town, South Africa
10 days
USD 6,598
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Abuja, Nigeria
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6 Jul - 17 Jul 2026
Addis Ababa, Ethiopia
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USD 7,398
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13 Jul - 24 Jul 2026
Mombasa, Kenya
10 days
KES 239,998
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Kampala, Uganda
10 days
USD 3,998
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Accra, Ghana
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10 days
KES 219,998
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Arusha, Tanzania
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Pretoria, South Africa
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August 2026
3 Aug - 14 Aug 2026
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Kampala, Uganda
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Addis Ababa, Ethiopia
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Arusha, Tanzania
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Zanzibar, Tanzania
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Accra, Ghana
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Dakar, Senegal
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Cape Town, South Africa
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Abuja, Nigeria
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Addis Ababa, Ethiopia
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Mombasa, Kenya
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Kampala, Uganda
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Accra, Ghana
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Kampala, Uganda
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Accra, Ghana
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Nakuru, Kenya
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Dar es Salaam, Tanzania
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19 Oct - 30 Oct 2026
Dakar, Senegal
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Kisumu, Kenya
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Addis Ababa, Ethiopia
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Mombasa, Kenya
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Dar es Salaam, Tanzania
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9 Nov - 20 Nov 2026
Pretoria, South Africa
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9 Nov - 20 Nov 2026
Abuja, Nigeria
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16 Nov - 27 Nov 2026
Nakuru, Kenya
10 days
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16 Nov - 27 Nov 2026
Arusha, Tanzania
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16 Nov - 27 Nov 2026
Cape Town, South Africa
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16 Nov - 27 Nov 2026
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23 Nov - 4 Dec 2026
Kisumu, Kenya
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23 Nov - 4 Dec 2026
Zanzibar, Tanzania
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23 Nov - 4 Dec 2026
Kigali, Rwanda
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23 Nov - 4 Dec 2026
Kuala Lumpur, Malaysia
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30 Nov - 11 Dec 2026
Dubai, United Arabs Emirates
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30 Nov - 11 Dec 2026
Accra, Ghana
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30 Nov - 11 Dec 2026
Dakar, Senegal
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30 Nov - 11 Dec 2026
Mandaluyong, Philippines
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7 Dec - 18 Dec 2026
Nairobi, Kenya
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7 Dec - 18 Dec 2026
Zanzibar, Tanzania
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7 Dec - 18 Dec 2026
Cape Town, South Africa
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7 Dec - 18 Dec 2026
Abuja, Nigeria
10 days
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7 Dec - 18 Dec 2026
Addis Ababa, Ethiopia
10 days
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14 Dec - 25 Dec 2026
Mombasa, Kenya
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14 Dec - 25 Dec 2026
Kampala, Uganda
10 days
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14 Dec - 25 Dec 2026
Accra, Ghana
10 days
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14 Dec - 25 Dec 2026
Kigali, Rwanda
10 days
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14 Dec - 25 Dec 2026
Singapore, Singapore
10 days
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21 Dec - 1 Jan 2027
Nakuru, Kenya
10 days
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21 Dec - 1 Jan 2027
Dar es Salaam, Tanzania
10 days
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21 Dec - 1 Jan 2027
Johannesburg, South Africa
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21 Dec - 1 Jan 2027
Dakar, Senegal
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21 Dec - 1 Jan 2027
Kuala Lumpur, Malaysia
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28 Dec - 8 Jan 2027
Kisumu, Kenya
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28 Dec - 8 Jan 2027
Arusha, Tanzania
10 days
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28 Dec - 8 Jan 2027
Pretoria, South Africa
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28 Dec - 8 Jan 2027
Cairo, Egypt
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28 Dec - 8 Jan 2027
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Training Methodology

We turn knowledge into results. Using our P.E.A.K. Framework (Prepare, Engage, Apply, Know), every participant leaves with practical skills they can use immediately.

Proven Impact

In the last 12 months, over 1,200 professionals have applied the P.E.A.K. Framework to reduce onboarding time by an average of 30% and accelerate project delivery across 14 industries.

P.E.A.K Framework
Prepare: Set the context and outcomes.
Engage: Keep sessions interactive and relevant.
Apply: Practice with real scenarios and tools.
Know: Validate understanding and next steps.
Key Learning Methods
Experiential "Sandbox" Workshops
Practice real scenarios in a safe, hands-on environment.
Global & Regional Case Studies
Learn from organizations like Apple and Safaricom to uncover diverse strategies.
Interactive Peer-to-Peer Labs
Collaborate, share insights, and solve problems alongside fellow professionals.
Practical Strategy Audits
Receive expert feedback to improve your current projects.
Simulation & Role-Playing
Build confidence handling leadership, communication, and crisis situations.
Professional Toolkit
Access ready-to-use templates, SOPs, and frameworks for immediate application.
90-Day Implementation Plan
Leave with a clear, actionable roadmap for your workplace.
Post-Training Support
Up to 6 months of support, including up to three virtual follow-up sessions as needed.

The outcome: Participants don’t just learn. They gain the tools, confidence, and strategy to drive measurable impact.

Tailor-Made Training and Customization

Off-the-shelf solutions rarely fit perfectly. At ForElite Training Institute, we built our Tailor-Made Training (TMT) service to embed our expertise directly into your unique strategy, culture, and operations.

Industry Specific Case Studies

We replace generic examples with scenarios from your sector (e.g., public sector, NGOs, financial services, or logistics).

Modular Scheduling

Choose a format that fits your operations: intensive 3 day bootcamps or weekly sessions that minimize work disruption.

Internal Document Integration

We teach directly from your actual templates, brand guidelines, or financial reports.

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Host your bespoke training in any of our 21+ global cities, or we'll send facilitators to your office anywhere in the world.

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Training on Crowd Science for Research, Innovation, and Community Engagement FAQs

Quick answers to common questions about this course

Crowd Science is a research approach that engages members of the public in scientific activities such as data collection, observation, analysis, monitoring, and knowledge creation. It is often referred to as Citizen Science or Participatory Science.
Crowd Science allows researchers to collect larger datasets, cover wider geographic areas, increase public engagement, improve scientific literacy, reduce monitoring costs, and generate insights that may be difficult to obtain through traditional research methods alone.
Crowd Science is commonly used in biodiversity monitoring, environmental conservation, climate research, public health, disaster management, urban planning, agriculture, astronomy, social sciences, and community development initiatives.
Data quality can be improved through participant training, standardized protocols, verification procedures, expert review processes, technology-assisted validation, and continuous quality monitoring systems.
Successful projects typically have clear objectives, effective participant engagement strategies, robust data quality systems, appropriate technology platforms, transparent communication, ethical governance, stakeholder support, and strong mechanisms for sharing results and demonstrating impact.

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