ILLC-LIRa

illc-lira@list.uva.nl

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LIRa pre-easter drinks online (today!)
by LIRa Seminar 09 Apr '20

09 Apr '20

Dear all, While there is no LIRa talk today, we thought it would be nice to continue with our online LIRa drinks. So we have arranged a pre-easter LIRa party for today, at 17.00. As before, bring your own drink, and join us by clicking on the zoom link: https://uva-live.zoom.us/j/352474830 (Meeting ID: 352 474 830) Apologies for the short notice! We hope we will see you there nonetheless! The LIRa team

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Online ArgInfoExchange Workshop next week
by LIRa Seminar 27 Mar '20

27 Mar '20

Dear all, There will be no LIRa session next Thursday. Instead, we encourage you to join the online workshop: \"The wisdom and madness of crowds: argumentation, information exchange and social interaction\" (31 March- 1 April). If you want to participate, please, register by the 29th of March. You can register, and also find more information, using this link: https://sites.google.com/view/workshop-arginfoexchange/home Hope to see you there! The LIRa team

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CANCELLED LIRa session: Roberto Giuntini
by LIRa Seminar 24 Mar '20

24 Mar '20

Dear all, Unfortunately, the online talk of Roberto Giuntini has been cancelled. The LIRa team

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LIRa session (online-only): Roberto Giuntini
by LIRa Seminar 20 Mar '20

20 Mar '20

Dear all, We will have our next online LIRa session on Thursday, March 26th. Our speaker is Roberto Giuntini. You will receive the zoom link on Wednesday. You can find the details of the talk below. Speaker: Roberto Giuntini (University of Cagliari, Centro Linceo Interdisciplinare \"B. Segre\", Accademia dei Lincei) Date and Time: Thursday, March 26th 2020, 16:30-18:00 Venue: ONLINE Title: A quantum-like approach to Machine Learning Abstract. In this talk we propose a new quantum-like method for the binary classification applied to classical datasets. Inspired by the quantum Helstrom measurement, this approach allows one to define a new classifier, called Helstrom Quantum Classifier (HQC). This binary classifier (inspired by the concept of distinguishability between quantum states) acts on density matrices—called density patterns—that are the quantum encoding of classical patterns of a dataset. Different forms of quantum encodings will be presented and compared. We will then contrast the performance of HQC with that of a highly representative set of classical classifiers with respect to different classes of datasets. The experimental results show that HQC is very flexible and outperforms the other classifiers with respect to many (artificial and real-world) datasets. Finally, we will show that the performance of our classifier is positively correlated to the increase in the number of “quantum copies” of a pattern and the resulting tensor product thereof. Hope to see you there! The LIRa team

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LIRa session (online-only): Mina Young Pedersen
by LIRa Seminar 18 Mar '20

18 Mar '20

Dear all, Tomorrow we will have our next online LIRa. You can find the details of the talk at the end of the e-mail. The zoom meeting will be available from 16.00 (Amsterdam time) but the talk itself will start at 16.30. Once again, we advise you to join a bit in advance, especially if you\'re not familiar with zoom. You can join through the following link: https://zoom.us/j/438683420?pwd=NjQrVDBYeFhXc0pBc0N0eC9EZk9adz09 Meeting ID: 438 683 420 Password: 013540 We ask you to read the LIRa guidelines for online sessions here: https://projects.illc.uva.nl/lgc/seminar/guidelines-for-online-sessions/ Speaker: Mina Young Pedersen Date and Time: Thursday, March 19th 2020, 16:30-18:00 Venue: ONLINE Title: Logical analyses of polarization and echo chambers Abstract. Recent literature has shown a growing interest for research in the interplay between logic and social network theory. One particularly prominent approach is to think of social relationships in terms of relations on a Kripke frame and use tools from various modal logics to reason about agents’ knowledge, characteristics and access to information. This talk will be about two such logics in context of the social phenomena polarization and echo chambers. The first is a recent basic modal logic developed to analyze balance theory. We examine different extensions to its language to define previously undefinable frame properties and introduce distance measures to evaluate how far a network is from polarization. Then a novel two-sorted hybrid logic of strong and weak ties will be presented. We see that a known claim from social network analysis is a validity and relate it to echo chamber formation. We will also talk about threshold models, an epistemic modality and dynamic operators in this logical framework. Hope to see you there! The LIRa team

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LIRa session (online-only): Mina Young Pedersen
by LIRa Seminar 13 Mar '20

13 Mar '20

Dear all, We will have our next ONLINE LIRa on March 19th. Our speaker is Mina Young Pedersen, and you can find the details of her talk below. We will send you the zoom link on Wednesday, along with a reminder of the instructions, in case you have not used the zoom platform before. For those of you who attended the first online LIRa yesterday: if you have any feedback about it, please e-mail fernandorvelazquezq(a)gmail.com. We will take it into account for future sessions. Speaker: Mina Young Pedersen Date and Time: Thursday, March 19th 2020, 16:30-18:00 Venue: ONLINE Title: Logical analyses of polarization and echo chambers Abstract. Recent literature has shown a growing interest for research in the interplay between logic and social network theory. One particularly prominent approach is to think of social relationships in terms of relations on a Kripke frame and use tools from various modal logics to reason about agents’ knowledge, characteristics and access to information. This talk will be about two such logics in context of the social phenomena polarization and echo chambers. The first is a recent basic modal logic developed to analyze balance theory. We examine different extensions to its language to define previously undefinable frame properties and introduce distance measures to evaluate how far a network is from polarization. Then a novel two-sorted hybrid logic of strong and weak ties will be presented. We see that a known claim from social network analysis is a validity and relate it to echo chamber formation. We will also talk about threshold models, an epistemic modality and dynamic operators in this logical framework. Hope to see you there! The LIRa team

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IMPORTANT: Instructions on online LIRa
by LIRa Seminar 11 Mar '20

11 Mar '20

Dear all, As mentioned earlier, LIRa will be an online-only seminar from tomorrow on. We will use the platform zoom.us. Please find detailed instructions below: -- If you are interested in joining the e-seminar, you should download zoom from the website. -- You can join the talk tomorrow by clicking the link in the invitation attached at the end of this e-mail. You will then be re-directed to the platform environment, which is quite straightforward to use. The speaker will share his screen so we can follow his slides, as usual. -- The e-seminar in zoom will open tomorrow from 16.00 on. The talk itself will start at 16.30. However, since tomorrow is the first LIRa with this format, we kindly urge you to join *at least* 10 minutes before, in order to prevent any technical difficulties in case you all connect in the last minute. It might also be good to join even earlier, in case you have questions about the platform and want to familiarize yourself with it. Notice that other ILLC events will also resort to this format so this can be extra handy to you. -- The chairing-style will also be adapted to the new format. We will mute the audience in order to avoid sounds from your devices. To signal a question you’ll be able to use the function \"chat\" (and then write, for example, \"question\" in the chatbox). Following this, the moderator will allow you to speak. However, to make the session smoother, please do not interrupt the speaker unless necessary. For non-urgent questions and comments, simply keep a note: the Q&A session will run as usual and you will be allowed to speak by signalling on the chat as described above. N.B. The talk will be recorded, since we plan to post it online. The Q&A session will not be recorded though. -- If you have any questions e-mail me at ansolaki at gmail dot com. -- The zoom invitation is below: Topic: LIRa seminar Time: Mar 12, 2020 04:00 PM Amsterdam Join Zoom Meeting https://zoom.us/j/424666901?pwd=RDEydDA5dEszV3p4Tmc2ZHo4YlNudz09 Meeting ID: 424 666 901 Password: 024441 One tap mobile +16465588656,,424666901# US (New York) +16699009128,,424666901# US (San Jose) Dial by your location +1 646 558 8656 US (New York) +1 669 900 9128 US (San Jose) Meeting ID: 424 666 901 Find your local number: https://zoom.us/u/aejvrjKR7u

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IMPORTANT: Online-only LIRa session (Michael Mäs)
by LIRa Seminar 11 Mar '20

11 Mar '20

Dear all, >From tomorrow on, LIRa switches to an online-only format, due to the corona virus restrictions and the possibility of many talks getting cancelled. We will use the platform zoom.us, which is easy and intuitive to use for e-seminars, conferences etc. We suggest that you download the platform, if you\'re interested in the talk. The organizing team will have a small trial today, using the pro-account purchased by the ILLC. Following this, we will contact you again with detailed instructions on how to join this e-seminar, so we suggest that you keep track of e-mails send by LIRa today and tomorrow. The details of the talk can be found below: Speaker: Michael Mäs (Department of Sociology and the ICS, University of Groningen) Date and Time: Thursday, March 12th 2020, 16:30-18:00 Venue: ILLC Seminar Room F1.15, Science Park 107. Title: Do Filter Bubbles Foster Opinion Polarization? Abstract. Political events such as the Brexit referendum, the election of Donald Trump, and the success of populists in democratic elections have sparked public and scholarly discussion about the effects of online-communication technology on public debate and collective decision-making. In particular, it has been warned that personalization algorithms installed in online social-networks, and search engines contribute to the formation of so-called “filter bubbles”. These bubbles isolate users from information that challenges their views and expose them to content that is in line with their opinions. It has been warned that this contributes to opinion polarization, a dynamic where competing political camps develop increasingly opposing political views. Here, I summarize research on the relationship between personalization and polarization. While I echo the warning that personalization can affect societal processes, I demonstrate that we leap to conclusions when we propose that personalization is responsible for increased polarization. Based on results from formal modeling work, I argue that we lack crucial empirical insight into the microprocess of social influence and the aggregation of repeated influence to macroprocesses of opinion polarization. I call for more research on communication in online environments, pointing to the potential of approaches that combine rigorous theoretical modeling with the emerging field of computational social-science. The LIRa team

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LIRa session: Michael Mäs
by LIRa Seminar 06 Mar '20

06 Mar '20

Dear all, We will have our next LIRa session on Thursday, March 12th. Our speaker is Michael Mäs. You may find the details at the end of this e-mail. We would like to also bring to your attention the LoC/DIP talk of Jonathan Phillips (Dartmouth) on Wednesday, March 11, 16.00-17.30 at F1.15, as it might be of interest to LIRa members. More details here: http://projects.illc.uva.nl/conceivability/News/article/129/Jonathan-Philli… Speaker: Michael Mäs (Department of Sociology and the ICS, University of Groningen) Date and Time: Thursday, March 12th 2020, 16:30-18:00 Venue: ILLC Seminar Room F1.15, Science Park 107. Title: Do Filter Bubbles Foster Opinion Polarization? Abstract. Political events such as the Brexit referendum, the election of Donald Trump, and the success of populists in democratic elections have sparked public and scholarly discussion about the effects of online-communication technology on public debate and collective decision-making. In particular, it has been warned that personalization algorithms installed in online social-networks, and search engines contribute to the formation of so-called “filter bubbles”. These bubbles isolate users from information that challenges their views and expose them to content that is in line with their opinions. It has been warned that this contributes to opinion polarization, a dynamic where competing political camps develop increasingly opposing political views. Here, I summarize research on the relationship between personalization and polarization. While I echo the warning that personalization can affect societal processes, I demonstrate that we leap to conclusions when we propose that personalization is responsible for increased polarization. Based on results from formal modeling work, I argue that we lack crucial empirical insight into the microprocess of social influence and the aggregation of repeated influence to macroprocesses of opinion polarization. I call for more research on communication in online environments, pointing to the potential of approaches that combine rigorous theoretical modeling with the emerging field of computational social-science. Hope to see you there! The LIRa team

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LIRa session: Dean McHugh
by LIRa Seminar 04 Mar '20

04 Mar '20

Dear all, Tomorrow we will have our next LIRa session. Please, find the details below: Speaker: Dean McHugh Date and Time: Thursday, March 5th 2020, 16:30-18:30 Venue: ILLC Seminar Room F1.15, Science Park 107. Title: Causality = time + modality + effective difference-making Abstract. Causal reasoning is the paradigm form of explanatory reasoning, essential to both purposeful action and the scientific method. But an adequate analysis of causal reasoning remains to be found. This talk contributes to the analysis of causal reasoning by seeking to answer two questions that any theory of causality must face. First, what kind of information do we use when we judge that a causal relation holds? That is, what kind of information should models of causality contain? Second, what does it mean for a causal claim to be true? We will address the modelling question by focusing on the role of time and modality, proposing to represent causality via dynamical systems, and comparing the resulting approach to models of causation as directed acyclic graphs (as proposed, for example, by Judea Pearl). We analyze the truth conditions of causal claims by building on the work of Carolina Sartorio, Joseph Halpern and Sander Beckers. In particular, we seek answers to the following two questions: in what sense, if any, do causes ‘make’ their effects occur? And in what sense, if any, do causes ‘make a difference’ to their effects? Hope to see you there! The LIRa team

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