Dear all,
Here's a reminder for CfA for SAS21 conference organized by the "Trust in
Information" research group at HLRS, University of Stuttgart.
Call for Abstracts: Trust in Science
Conference series: Science and Art of Simulation (SAS)
High-Performance Computing Center Stuttgart, Germany (HLRS1),
27-28th of October 2021
Organized by the research group “Trust in information”
Trust is a central pillar of the scientific enterprise. Much work in the
philosophy of science can be seen as coping with the problem of
establishing trust in a certain theory, a certain model or even science as
a whole. However, trust in science is threatened by various developments.
With the advent of more complex models and the increasing usage of computer
methods as machine learning and computer simulation it seems increasingly
challenging to establish trust in science. Policy decisions that are made
on the basis of such models (e.g. climate or more recently covid policies)
not only require a high level of trust from their users but also from the
people affected. In addition, there are increasingly visible difficulties
in communicating scientific practices and results to a wider public. To
mention just two points in this regard: Scientific communication as well as
the scientific handling of non-knowledge often takes place differently than
in everyday life. While dissent is a normal mode of scientific
communication within the sciences, seen from the outside it is often
perceived as a failure. The enormous degree of agreement between
scientists, which forms the basis for dissent, is then overlooked. The same
applies to scientific non-knowledge, which often only becomes possible
based on high levels of shared knowledge. Thus, non-knowledge can at least
temporarily be considered a success in the sciences. Such differences
between scientific and non-scientific communication may explain some of the
difficulties regarding the trust issues at hand. The question arises,
however, as to what characterizes an appropriate relationship between trust
and science in the first place. Blind trust in science is not a reasonable
option. Skepticism is an essential moment of scientific progress; however,
this should not result in elevating science and pseudoscience to the same
level. This makes the question even more urgent: How and on what basis can
an appropriate trust in science be built? We are interested in how trust is
established in such cases of increasing complexity (of models and
communication) and what could be appropriate measures to alleviate doubt.
--Topics--
Interested scientists, philosophers, sociologists, historians,
mathematicians, and journalists can submit contributions on the following
topics (non-exclusive):
- The epistemology of trust in science (e.g. increasing trust through
replication, RCTs,etc.)
- Trust as an epistemic virtue
- Scientist trusting scientist
- Benchmarks, measures, criteria for trustworthy science
- Principles, guidelines, best practices as attempts to make science
trustworthy
- The public trusting scientists/science (communicating scientific
results)
- Role of publishing raw research data for creating trust
- Images of science and scientists in public
- The role of trust for science in an open society
- Historical perspectives on trust in science
- Coping with doubt in the sciences
- Trusting or doubting computer methods, especially AI and computer
simulation.
- Algorithmic Bias
--Dates & Deadlines--
Abstracts (max. 3,000 characters including spaces without references) can
be submitted until 15th June, 21. Submissions should be prepared for
anonymous review (no information identifying the author). Applicants will
be notified latest by 15th July, 21. Accepted papers will be published in a
proceeding volume by Springer. It is planned that the conference wilI take
place at the HLRS in Stuttgart. But depending on the Covid19 situation
in Autumn
the conference might be held partially or completely online. Even if the
conference is to be held on venue in Stuttgart, speakers will have the
opportunity to give their presentation virtually. For submissions:
https://philo.hlrs.de/openconf/openconf.php .
If you have any questions, please contact phil@hlrs.de
Kind Regards,
Ammu Joshy
Scientific Researcher
High-Performance Computing Center, Stuttgart
Virus-free.
www.avast.com
EASST's Eurograd mailing list
Eurograd (at) lists.easst.net
Unsubscribe or edit subscription options: http://lists.easst.net/listinfo.cgi/eurograd-easst.net
Meet us via https://twitter.com/STSeasst
Report abuses of this list to Eurograd-owner@lists.easst.net
