Fwd: [AISWorld] CfP Frontiers Research Topic on *Human Issues in Recommender Systems* - Cfp

8 Dec 2021


      -------- Forwarded Message --------
Subject: 	[AISWorld] CfP Frontiers Research Topic on *Human Issues in 
Recommender Systems*
Date: 	Tue, 7 Dec 2021 15:15:24 +0000
From: 	Bauer, C. (Christine) c.bauer@uu.nl
To: 	aisworld@lists.aisnet.org aisworld@lists.aisnet.org
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*Please forward to anyone who might be interested*
Apologies for cross-posting.
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In collaboration with Frontiers in Big Data’s special section in 
Recommender Systems, we are bringing researchers together to contribute 
to a Research Topic on:
*Human Issues in Recommender Systems*
Topic Editors:
* Dr. Bruce Ferwerda, Jönköping University, Jönköping, Sweden
* Dr. Christine Bauer, Utrecht University, Utrecht, The Netherlands
https://www.frontiersin.org/research-topics/23412/human-issues-in-recommende...
Submissions are ongoing with the final submission deadline for 
manuscripts to be considered on 31 January 2022.
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Recommendation systems (or recommender systems) have become a pervasive 
ingredient in our everyday lives. Such systems assist people to navigate 
immense amounts of content. In doing so, recommenders help people find 
and discover various types of content and goods, including movies, 
music, books, food, or dating partners. When researching on, developing, 
or employing recommender systems, we have a social responsibility to 
care about the impact of their technology on individual people (this 
includes the roles of users, providers, and other stakeholders) and on 
society. This involves building, maintaining, evaluating, and studying 
recommender systems that are fair, transparent, and beneficial to society.
It is a combination of many aspects that make a recommender system 
successful. In this Research Topic, we zoom in on humans. The goal is to 
better understand humans' perceptions, needs, and the impact that 
recommender systems may have on humans. For instance, the call for fair 
and transparent recommenders is increasingly getting stronger. But what 
is fair? What is beneficial for society? And how can we achieve that? 
Early research in the field of fair and transparent fair recommender 
systems has been inspired by research in the machine learning domain, 
where we can observe a particular focus on the algorithmic perspective.
With this Research Topic, we want to show the bigger picture of the 
human issues, for instance, concerned with fair and transparent 
recommender systems. Recommender systems have an impact on individual 
people in the various roles they take (e.g., users, providers, and other 
stakeholders) and on society. What is fair and transparent from various 
perspectives? How can fairness and transparency be achieved? And how are 
the resulting recommendations perceived?
We welcome original research papers addressing human issues in 
recommenders, reporting research on theory and/or practice. The type of 
research may include but is not limited to, explorative studies, 
experiments, or methodological approaches studying human issues.
Topics of interest related to human issues include, but are not limited 
to, the following:
* Perception and expectations of stakeholders (e.g., users, providers);
* Human factors (e.g., humans-in-the-loop);
* Humanistic theory (e.g., philosophical, moral, and ethical analysis);
* Real-world cases and applications;
* Algorithmic development, measurement, and evaluation (e.g., bias and 
discrimination);
* Data (e.g., bias and discrimination).
For more information about the Research Topic, information on manuscript 
preparation, and related matters, please see:
https://www.frontiersin.org/research-topics/23412/human-issues-in-recommende...
Although the deadline for submission of manuscripts to this Research 
Topic is 31 January 2022, papers will be reviewed and published as they 
are received. Submitting an abstract before submitting the manuscript is 
encouraged but not required.
We are looking forward to your contribution to the Research Topic.
Sincerely yours,
Dr. Bruce Ferwerda
Dr. Christine Bauer
(Topic Editors)
--
Dr. Christine Bauer | Assistant Professor | Department of Information 
and Computing Sciences | Utrecht University | Princetonplein 5, 3584 CC 
Utrecht | Buys Ballotgebouw, room 4.21 | +31 30 253 4158 | 
c.bauer@uu.nlmailto:c.bauer@uu.nl | 
www.uu.nl/staff/CBauerhttp://www.uu.nl/staff/CBauer | 
https://christinebauer.eu | Present: Mon-Fri
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