Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

Purpose The literature on entrepreneurial ecosystems is fragmented, and yet, no studies
have paid attention to integrating the available studies. The purpose of this study is to …

While LLMs have made it possible to rapidly prototype new ML functionalities, many real-
world applications involve complex tasks that cannot be easily handled via a single run of an …

The widespread implementation of algorithmic technologies in organizations prompts
questions about how algorithms may reshape organizational control. We use perspective of …

From the founding director of the MIT Center for Collective Intelligence comes a fascinating
look at the remarkable capacity for intelligence exhibited by groups of people and computers …

Paid crowd work offers remarkable opportunities for improving productivity, social mobility,
and the global economy by engaging a geographically distributed workforce to complete …

The term 'crowdsourcing'was initially introduced in 2006 to describe an emerging distributed
problem-solving model by online workers. Since then it has been widely studied and …

Although large language models (LLMs) have demonstrated impressive potential on simple
tasks, their breadth of scope, lack of transparency, and insufficient controllability can make …

As a new distributed computing model, crowdsourcing lets people leverage the crowd's
intelligence and wisdom toward solving problems. This article proposes a framework for …

Scientific research performed with the involvement of the broader public (the crowd) attracts
increasing attention from scientists and policy makers. A key premise is that project …