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Styliani Kleanthous <[log in to unmask]>
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Styliani Kleanthous <[log in to unmask]>
Thu, 22 Oct 2020 21:20:42 +0300
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We invite you to attend the 2nd Symposium on Biases in Human Computation
and Crowdsourcing (BHCC 2020)
<>. This
year's event will take place online due to the pandemic On November 10th
and 11th 2020 between 13:00 - 16:00 EET.

If you are interested to join us find more information here:

Computation and Crowdsourcing have become ubiquitous in the world of
algorithm augmentation and data management. However, humans have various
cognitive biases that influence the way they make decisions, remember
information, and interact with machines. It is thus important to identify
human biases and analyse their effect on complex hybrid systems. On the
other hand, the potential interaction with a large pool of human
contributors gives the opportunity to detect and handle biases in existing
data and systems.

The goal of this symposium is to analyse both existing human biases in
hybrid systems, and methods to manage bias via crowdsourcing and human
computation. We will discuss different types of biases, measures and
methods to track bias, as well as methodologies to prevent and solve bias.
An interdisciplinary approach is often required to capture the broad
effects that these processes have on systems and people, and at the same
time to improve model interpretability and systems’ fairness.

BHCC2020 hosts two interesting and exciting keynote speakers: Dr. Miriam
Redi, Wikimedia Foundation with the talk "The Science of Knowledge
Integrity – Research at Wikimedia" and Dr. Antonio Fernández Anta, IMDEA
Networks with the talk "CoronaSurveys: Using Indirect Reporting to Estimate
the Incidence of Epidemics".  In addition, eight interesting paper
presentations complete the two days of the event.

We’re looking forward to meeting you at BHCC2020 on the 10th and 11th of

On behalf of the organizing committee,


Styliani Kleanthous, Ph.D

CyCAT - Cyprus Center for Algorithmic Transparency

Open University of Cyprus

Phone: 22411904



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