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The Better Policy Project Charity

The Better Policy Project (BPP) is committed to democratizing education by making knowledge, skills, and learning opportunities accessible, inclusive, and equitable for all. Our mission is to develop innovative learning platforms, certifications, and training programs that foster a dynamic learning environment (DLE), equipping individuals with the tools to adapt to changing economic conditions, labor market needs, and environmental challenges. BPP is committed to developing and using AI-powered tools to enhance education, workforce training, economic policymaking, and climate adaptation. However, human expertise remains central to innovation, policy formulation, and problem-solving. AI should be used to increase productivity, support critical thinking, and help individuals and institutions make better decisions.

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Kush-Wadhwa.jpeg

Kush Wadhwa

Kush Wadhwa is the CEO of Trilateral Research, specializing in ethical AI, data governance, and risk management. With expertise in privacy and innovation policy, he has advised global organizations, including the UN, NATO, the White House, and the UK Home Office.

Douglas Laxton

Douglas Laxton is a leading economist known for pioneering Forecasting and Policy Analysis Systems (FPAS) and FPAS Mark II, frameworks that revolutionized monetary policy implementation in central banks worldwide.A former senior IMF official, Laxton has made major contributions to inflation targeting, DSGE modeling, and AI-driven policy analysis.

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Our Vision & Mission

The Better Policy Project (BPP) Charity is committed to democratizing education by making knowledge, skills, and learning opportunities accessible, inclusive, and equitable for all. Our mission is to develop innovative learning platforms, certifications, and training programs that foster a dynamic learning environment (DLE), equipping individuals with the tools to adapt to changing economic conditions, labor market needs, and environmental challenges.

BPP is committed to developing and using AI-powered tools to enhance education, workforce training, economic policymaking, and climate adaptation. However, human expertise remains central to innovation, policy formulation, and problem-solving. AI should be used to increase productivity, support critical thinking, and help individuals and institutions make better decisions.

Our Mission

BPP’s mission is to integrate technology into education, policymaking, and research while maintaining ethical, responsible, and transparent governance. We focus on seven key areas:

1. Democratizing Education and Creating a Dynamic Learning Environment (DLE)

A Dynamic Learning Environment (DLE) is a technology-enhanced, adaptive system designed to:

  • Identify individuals’ learning styles and compatibility with AI-driven training.

  • Provide customized, interactive learning paths that improve retention and application of knowledge.

  • Ensure individuals become more agile in responding to labor market changes, demographic shifts, and climate-related disruptions.

  • Foster continuous learning through AI-driven feedback, enabling individuals to stay relevant in a rapidly evolving job market.

2. AI-Powered Employment Agency: Enhancing Workforce Training and Job Matching

One critical application of AI-powered tools in productivity enhancement is the creation of an AI-driven employment agency. This system would:

  • Identify and map job opportunities in real time.

  • Provide AI-enhanced training that matches job seekers with customized learning paths based on skill gaps, labor market shifts, and climate-related industry transformations.

  • Determine whether an individual is suited for a DLE-based training approach, optimizing learning outcomes and job readiness.

  • Help workers develop agility in adapting to structural shifts in the economy due to demographic trends, climate policies, and technological advancements.

By using AI to match individuals with both employment opportunities and tailored training, BPP aims to increase workforce productivity and enable economies to better adapt to demographic and environmental challenges.

3. Adapting to Demographic and Climate Challenges Through AI and Policy Models

  • BPP is committed to developing AI-powered tools that enhance, not replace, human decision-making.

  • Productivity growth is essential for economies with declining labor forces and climate-related disruptions, requiring structural, fiscal, and macro-prudential policies to support sustainable development.

  • AI can help optimize workforce mobility and transition workers into climate-resilient industries, ensuring individuals remain employable and adaptable in a shifting economic landscape.

  • By freeing up time from repetitive administrative tasks, AI enables workers, businesses, and policymakers to focus on high-value, strategic activities, such as climate adaptation planning and sustainable workforce development.

4. Advancing Specialized Education and Research

BPP integrates AI-powered tools and structured economic models across key areas, ensuring that models are used as tools to improve problem-solving and decision-making:

  • Monetary, Fiscal, and Structural Policies – Supporting monetary policy, financial stability, and fiscal policy while also developing structural policies designed to increase productivity growth and improve living standards.

  • Aging Populations and Healthcare Technologies – Addressing labor shortages in aging societies through AI-driven workforce training and automation.

  • Climate Change and Sustainability – Developing structured policy analysis tools to assess the impact of environmental regulations, help industries transition toward sustainability, and support workers in adapting to green jobs.

  • Migration and Global Mobility – Enhancing job market integration through AI-based skills assessment and training for displaced workers and climate migrants.

5. Developing AI-Powered Educational Platforms and Certifications

  • Creating AI-powered digital learning platforms that support structured workforce training and policy education.

  • Offering certifications in AI literacy, policy analysis methodologies, and workforce adaptation strategies.

  • Ensuring transparency in content, funding, and governance to maintain credibility and inclusivity.

6. Driving Research and Policy Innovation

  • Conducting research in economics, climate policy, education, and workforce adaptation to inform better policymaking.

  • Studying how AI-powered tools and economic transformations impact societies, labor markets, and job creation.

  • Collaborating with academic institutions, policymakers, and organizations to design innovative policy frameworks that support both economic and environmental resilience.

7. Ensuring Ethical and Responsible AI Integration

  • Promoting structured, transparent AI use in education, workforce development, and policymaking.

  • Advocating for AI models that improve learning efficiency, increase workforce adaptability, and support evidence-based policy decisions.

  • Ensuring AI enhances human expertise rather than replacing critical thinking and decision-making.

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