The 6th IEEE Workshop on
Human-in-the-Loop Methods and Future of Work in BigData
(IEEE HMData 2022)

HMData workshop, which originally started as the "Human-Machine collaboration in BigData" workshop, will investigate the opportunities and challenges in human machine collaboration in work with bigdata, which are described by two terms: Human-in- the-Loop Methods and Future of Work. Human-in-the-Loop is a term focusing on the employer's viewpoint while Future of Work focuses more on worker's viewpoint, in both of which the division of labor among humans and machines is a key issue. This area is likely to be heavily AI driven, and we intend to invite papers covering the following aspects, (a) Capturing human capabilities through intelligent models and how to adapt them through changing perceptions, needs, and skills. (2) High level tools that provide the ability for all stakeholders in the new ecosystem, including regulators for policies and AI workers, to specify their requirements. (3) system design and engineering of job platforms for collection, storage, retrieval, and analysis of data deluge about workers, jobs, and their activities. (4) Benchmarking and the development of appropriate metrics to measure system performance as well as human aspects, such as satisfaction, capital advancement, and equity.

We welcome any interesting ideas and results on any relevant topics, but this workshop encourages submitting papers the results of which have been or will be implemented as platforms, tools and libraries. This year, we plan to have a thematic session on improving the interoperability of tools on Human-in-the-loop Methods and Future-of-Work. We also solicit practitioner papers as well as research papers, in order to facilitate discussion among researchers have solutions and practitioners who know problems. All papers accepted for the workshop will be included in the Workshop Proceedings published by the IEEE Computer Society Press, made available at the Conference.

This workshop covers a wide range of topics of human-machine collaboration in work with bigdata. Keywords include: crowdsourcing, collaborative recommendation, crowdsensing, workflow model for humans and machines, incentives, human-assisted bigdata analysis, bigdata-human interaction, human-machine collaboration in real-world applications (such as natural disaster response, education, and citizen science), and ELSI in Human-in-the-loop systems and Future of Work. We expect submissions to address some of the following issues:

1. capturing human characteristics and capabilities,
2. stakeholder requirement specification,
3. social processes around the human-in-the-loop systems,
4. platforms and ecosystems,
5. computation capabilities, and
6. benchmarks and metrics for human-in-the-loop systems and Future of Work

TBA

TBA