Humanist Discussion Group, Vol. 32, No. 603. Department of Digital Humanities, King's College London Hosted by King's Digital Lab www.dhhumanist.org Submit to: firstname.lastname@example.org  From: Wells, Sarah P (spw4s)
Subject: CS seminar: "Mining Reliable Information from Crowdsourced Data" (64)  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" RESEARCH SEMINAR ANNOUNCEMENT 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 Abstract: 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 email@example.com -------------------------------------------------------------------------- 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 https:www.lhc-epistemologie.uni-wuppertal.de/complexities “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 https:www.lhc-epistemologie.uni-wuppertal.de/home.html". 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 firstname.lastname@example.org 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. Description 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 network? 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) Tba Volker Grimm, Helmholtz Centre for Environmental Research (Germany) Tba 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. Organization 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) Contact For further information, please contact email@example.com _______________________________________________ Unsubscribe at: http://dhhumanist.org/Restricted List posts to: firstname.lastname@example.org List info and archives at at: http://dhhumanist.org Listmember interface at: http://dhhumanist.org/Restricted/ Subscribe at: http://dhhumanist.org/membership_form.php
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