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Human-Machine Social Systems

Project description

Human-machine interdependence in social systems

The rapid advancement of technology, particularly in computing, artificial intelligence, and robotics, has led to an increasing interdependence between humans and intelligent machines, from algorithms to bots and robots. This has given rise to a largely unexplored field within social studies and systems research, as new networks, bonds, and communities emerge. The ERC-funded HUMANET project seeks to expand empirical knowledge of both existing and potential future human-machine social systems. By investigating human-machine interactions, the project will analyse their composition, structure, and constraints, as well as their impact on communities and social dynamics.

Objective

Bridging sociology, social psychology, human-computer interaction, and web science, HUMANET combines experimental and computational research methods to study a pressing new social challenge: the ever-increasing interdependence between humans and autonomous machines such as robots, bots, and algorithms.

Starting from the idea that humans and machines form a complex adaptive social system, HUMANET investigates how human-machine, machine-machine, and human-human interactions influence and affect each other and how they add up to different collective outcomes. Conceptually, we distinguish between three levels of analysis: interactions, networks, and communities, and study direct, indirect, and strategic influence, network composition and structure, and techno-organizational constraints and sociocultural context. In terms of methodology, we combine controlled virtual lab experiments, agent-based models, digital-trace data, online field interventions, and heterogeneity and case comparison to conduct and integrate comprehensive analyses at the three levels. Empirically, we focus on the problem of social influence and contagion and provide causal and observational evidence from a range of online human-bot communities, including an online collaboration community, a discussion site, and a crowdfunding platform.

HUMANET aims to expand our empirical knowledge of existing human-machine social systems, generate testable theories about human-machine interactions and networks, advance methods for modelling and conducting experiments with artificial agents, and bring public attention to the increasing algorithmization of our daily lives. Its ultimate goal is to build the foundations of a new cumulative empirical sociology of humans and machines. A better understanding of human-machine social systems is becoming crucial for reducing misinformation, preventing financial crashes, improving road safety, adapting to labor market disruptions, and more.

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) ERC-2024-COG

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Host institution

LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 999 974,00
Address
Houghton Street 1
WC2A 2AE London
United Kingdom

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Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 999 974,00

Beneficiaries (1)

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