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Humanist Archives: April 9, 2019, 6:10 a.m. Humanist 32.603 - events: reliable data-mining; simplicities & complexities

                  Humanist Discussion Group, Vol. 32, No. 603.
            Department of Digital Humanities, King's College London
                   Hosted by King's Digital Lab
                Submit to: humanist@dhhumanist.org

    [1]    From: Wells, Sarah P (spw4s) 
           Subject: CS seminar: "Mining Reliable Information from Crowdsourced Data" (64)

    [2]    From: Miguel Ángel Carretero Sahuquillo 
           Subject: CfR Simplicities and Complexities Conference (Bonn) - Deadline: 1 May 2019 (163)

        Date: 2019-04-09 04:54:36+00:00
        From: Wells, Sarah P (spw4s) 
        Subject: CS seminar: "Mining Reliable Information from Crowdsourced Data"


Speaker:Jing Gao
Date:Thursday, April 11^th 2019
Time: 10:00 a.m. - 11:00 a.m.
Location: Rice Hall, Room 242, University of Virginia
Host: Yangfeng Ji(yj3fs)

Title: Mining Reliable Information from Crowdsourced Data


With the proliferation of mobile devices and social media
platforms, any person can publicize observations about any activity,
event or object anywhere and at any time. The confluence of these
enormous crowdsourced data can contribute to an inexpensive,
sustainable and large-scale decision support system that has never
been possible before. The main obstacle in building such a system lies
in the problem of information veracity, i.e., it is hard to
distinguish true or accurate information from false or inaccurate
ones. In this talk, I will present our efforts towards solving
information veracity challenge when crowdsourced data are ubiquitous
but their reliability is suspect. We model the task as an optimization
problem that jointly searches for source reliability and true facts
without any supervision.  We showed how our proposed models handle
different kinds of data, including data with long-tail distributions,
data of heterogeneous types, spatial-temporal data, streaming and
distributed data, and how they can support a wide range of
applications, including crowdsourcing question answering, knowledge
base construction and environmental monitoring. To motivate crowd
users to contribute high-quality data, we designed effective budget
allocation and privacy preservation mechanisms. At the end of the
talk, I will briefly introduce my other work, which is the integration
of complementary views for improved inference for fake news detection
on social media data as well as several decision making tasks in
healthcare and transportation domains.

About the speaker:

Jing Gao is an Associate Professor in the
Department of Computer Science and Engineering at the University at
Buffalo (UB), State University of New York. She received her PhD from
Computer Science Department, University of Illinois at Urbana
Champaign in 2011, and subsequently joined UB in 2012. She is broadly
interested in data and information analysis with a focus on
information integration, crowdsourcing, social media analysis,
misinformation detection, knowledge graphs, multi-source data
analysis, anomaly detection, transfer learning and data stream mining.
She enjoyed collaborating with researchers across multiple
disciplines, including healthcare, transportation and cyber security.
She has published more than 150 papers in referred journals and
conferences. She is an editor of ACM Transactions on Intelligence
Systems and Technology, and serves in the senior program committee of
ACM KDD and CIKM conferences. She is a recipient of NSF CAREER award
and IBM faculty award.


Sarah Wells
Institute for Advanced Technology in the Humanities

        Date: 2019-04-09 04:53:16+00:00
        From: Miguel Ángel Carretero Sahuquillo 
        Subject: CfR Simplicities and Complexities Conference (Bonn) - Deadline: 1 May 2019

International Conference on Simplicities and Complexities
22-24 May 2019
Bonn, Germany

Call for Registration - Deadline: 1 May 2019

“Simplicities and Complexities" will take place from 22 to 24 May 2019
at the University of Bonn, Germany. It aims to bring together scientists
and scholars from a spectrum of disciplines such as physics, biology,
ecology, chemistry, and computational science, as well as from
philosophy, sociology, and history of science. This conference is
organized by the interdisciplinary, DFG- and FWF-funded research unit
"Epistemology of the LHC

Call for Registration

The organising committee invites participants from sciences and from
philosophy, history, sociology of physics/science, as well as anyone
else who may be interested. In order to register for this conference,
please email your name and affiliation to
lhc.epistemology@uni-wuppertal.de by 1 May 2019 (note that the
deadline for abstract submission has passed). Registration is free.
Please note that you are responsible for arranging your own travel and
accommodation. The conference will start at 8.30 on the 22nd of May. The
number of participants is limited. Registration will be confirmed.


Philosophers and scientists alike have often assumed simplicity to be an
epistemic ideal. Some examples of theories taken as successful
realizations of this ideal include General Relativity and Darwin's
theory of Natural Selection. These theories influenced early and
mid-20th century philosophers' understanding of the criteria successful
scientific theories and practices had to meet, even when facing complex
phenomena. However, this influence did not mean that the notion of
simplicity was clear-cut. A suitable and encompassing definition of
simplicity has yet to be developed. Some unanswered questions include:
In what sense can and do physicists consider a theory, such as the
Standard Model of elementary particle physics, as being sufficiently
simple? How do ideals of simplicity differ when applied to disciplines
other than physics? Biological concepts, for example, do not tend to
refer to laws, whereas concepts from the social sciences frequently
resort to notions of order and structure that are different from those
of natural sciences. Are there, accordingly, simplicities (in plural)
rather than a unified logic-inspired notion? Finally, are there cases
where simplicity is simply a bad epistemic ideal, and not merely for the
reason that it is often unreachable?

Throughout the 20th century the sciences have approached more and more
complex phenomena, in tune with the increased social relevance of
scientific knowledge. The perceived need to address complexity head-on
has led to a broader reaction against simplification and reductionism
within the sciences. However, if simplicity, in its various outfits, has
proven an unreliable guide, what should it be replaced with? Looking at
the various strategies of addressing complexity in the sciences and the
disciplines reflecting upon them, it appears that the notion is at least
as variegated as simplicity. To be sure, there exist measures of
complexity as well as mathematical, empirical, or discursive strategies
to deal with it, but they vary strongly from one discipline to another.

The aim of the conference is to analyze, differentiate, and connect the
various notions and practices of simplicity and complexity, in physics
as well as in other sciences, guided by the following questions:

    Which kinds and levels of simplicity can be distinguished (e.g.
     formal or ontological, structural or practical)? Which roles do they
     play and which purposes do they serve? Does simplicity, in a
     suitable reformulation, remain a valid ideal - and if so, in which
     fields and problem contexts? Or, instead, where has it been
     abandoned or replaced by a plurality of interconnected approaches
     and alternative perspectives?
    What about complexity? How is the complexity of an object of
     investigation addressed (represented, mirrored, negated, etc.) by
     the adopted theoretical and empirical approaches in different fields?
    Addressing complex problems, especially those relevant to society,
     requires institutional settings beyond the traditional research
     laboratory. How does the complexity of such settings relate to the
     complexity of epistemic strategies and of the problems themselves?
     In what sense can we trust the other players in a complex epistemic
    How should we conceive of the relation between simplicity and
     complexity? Are there alternatives to seeing complexity in
     opposition to simplicity? Does physics, in virtue of its history,
     maintain its special position in the contemporary debates on
     simplicity and complexity? What do reflections on the epistemic
     cultures of ecology, cultural anthropology, economics, etc. have to
     offer in terms of how simplicities and complexities can be balanced?

We invite contributors from a spectrum of disciplines, scientists and
scholars reflecting on their respective and neighboring research fields,
as well as historians, philosophers, and sociologists of science
investigating the epistemologies, practices, and discourses of fellow
epistemic communities. The conference will thrive on intense discussion
surpassing disciplinary boundaries.

Invited Speakers 

Marta Bertolaso, University Campus Bio-Medico of Rome (Italy)
Simplicity in Biological Complexity: the Case of Cancer

Stefan Böschen, RWTH Aachen (Germany)
Indicator Politics: reducing complexities while using epistemic tactics
of problem-invention 

Stephen Blundell, University of Oxford (UK)
Complexity and emergent simplicity in quantum materials

Talia Dan-Cohen, Washington University in St. Louis (US)
The Uses of Complexity in Anthropology

Richard Dawid, Stockholms Universitet (Sweden)

Volker Grimm, Helmholtz Centre for Environmental Research (Germany)

Robert Harlander, RWTH Aachen (Germany)
Simplicity vs. Complexity in Theoretical Particle Physics

Beate Heinemann,DESY Freiburg (Germany)
Detecting LHC Collisions: A Complex Endeavour

Johannes Lenhard, Universität Bielefeld (Germany)
Elephant and Ant. Complexity, Prediction, and Modeling Strategy

Michael Stöltzner, University of South Carolina (US)
Simplicities and Complexities: Some lessons from LHC Epistemology

Thomas Vogt, University of South Carolina (US)
Simplicities & Complexities in Chemistry – the Languages of Vague Ideas

In addition, we will hold 27 contributed talks distributed in three
parallel sessions and one award talk. 


This workshop is organized by the DFG and FWF-funded research unit
"Epistemology of the LHC

    Cristin Chall (University of Bonn)
    Dennis Lehmkuhl (University of Bonn)
    Niels Martens (RWTH Aachen)
    Martina Merz (University of Klagenfurt)
    Miguel Ángel Carretero Sahuquillo (University of Wuppertal)
    Gregor Schiemann (University of Wuppertal)
    Michael Stöltzner (University of South Carolina)


For further information, please contact

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