Introduction

The rapid advancement of blockchain and cryptocurrencies is reshaping the global economic landscape, challenging traditional notions of work and organisational structures. While artificial intelligence (AI) has revolutionised various aspects of our lives, impacting sectors like healthcare, business, and daily interactions.

As these technologies proliferate, there is a significant need to understand their broader socio-cultural and economic impacts. This research bounty seeks to explore the intersection of anthropology, technology, and society, focusing on how Blockchain/Web3 and AI are influencing work cultures, social structures, and human behaviour.

Read web3 Report Here: https://drive.google.com/file/d/1AUzPQU9PSZk3Bahe6kEFzLcdyVZbcVbo/view?usp=sharing

Read State of AI Report 2024 report here
https://www.stateof.ai

Research Objective

The objective of this research bounty is to provide the opportunity for a talented UK researcher to expand on our Future of Work report. This includes examining changes in work environments, organisational hierarchies, cultural values, and the overall impact on human interactions within these evolving structures. The aim is to offer insights that could inform policy, business strategy, and technological development towards a more integrated understanding of what might be termed the 'Network State.'

Research Suggestion Tasks

1. Literature Review: Conduct an extensive review of existing academic and industry literature to understand how decentralisation and AI technology are impacting global work environments and the social implications of these changes.

2. Anthropological Analysis: Dive deep into anthropological research to examine how decentralisation and AI technology are altering human interactions, organisational structures, and cultural norms in the workplace.

3. Technical/Statistical Approach: Utilise technical data analysis and statistical methods to track and forecast the growth of decentralised work models, including gig work, DAOs (Decentralised Autonomous Organisations), and blockchain adoption and use of AI across different sectors.

4. Local Experiment: Design and possibly execute a localised study or experiment to observe first-hand the adoption and impact of blockchain, crypto-based and AI work models in specific communities, assessing social, economic, and cultural shifts.

Submission Suggestion Guidelines

- Literature Review: Submit a detailed synthesis of scholarly articles, papers, and other relevant documents that outline the social impacts of decentralised & AI technologies on work environments.

- Anthropological Analysis: Provide a comprehensive report detailing qualitative research findings, including interviews, ethnographic studies, and case studies that explore the anthropological aspects of decentralisation & AI.

- Technical/Statistical Approach: Offer a report with data visualisations and models that analyse trends in decentralised & AI work models, accompanied by predictions on future developments.

- Local Experiment: If applicable, submit a detailed case study or report on the local experiment conducted, including methodology, data collected, analysis, and conclusions on the socio-economic and cultural implications observed.

Deliverables

- Research Papers: Detailed academic papers for each of the suggested research angles, complete with methodology, analysis, and conclusions.

- Presentation Slides: Slides suitable for academic or industry presentations that summarise key findings and insights.

- Raw Data and Models: Where applicable, provide access to the datasets used, data models, and analysis scripts.

Evaluation Criteria

- Depth of Analysis: The research should provide a profound insight into the effects of decentralisation technologies on societal structures.

- Methodological Rigor: The methodology should be robust, appropriate for the research angle chosen, and capable of supporting the conclusions drawn.

- Innovativeness: The research should offer new insights or novel approaches to understanding the impacts of decentralised technologies.

- Clarity and Coherence: The findings should be presented clearly and logically, making complex ideas accessible to a broad audience.