January 2023 - semfis - Mailing lists@ IFISC

Reminder: IFISC Colloquium, TODAY - Wednesday, Jan 18, 2023 at 14:30
by semfis＠ifisc.uib-csic.es 18 Jan '23

18 Jan '23

IFISC Colloquium on Wednesday Jan 18, 2023 at 14:30 Place: IFISC Seminar Room Title: Bounded Confidence: A deceptively simple model Speaker: Rainer Hegselmann, University of Bayreuth and Frankfurt School of Finance & Management Abstract: My talk will discuss the so called bounded confidence model (BC-model, for short).&nbsp;The model is very simple: Period by period, all agents average over all opinions that are not further away&nbsp;from their actual opinion than a given distance&nbsp;Epsilon, their `bound of confidence&lsquo;.&nbsp;The simplicity of the model is deceptive. Two decades ago, Ulrich Krause and I&nbsp;published an&nbsp;analysis of the model in which we overlooked completely a decisive feature of our model:&nbsp;For increasing values of Epsilon, our analysis back then suggests smooth transitions in the model&rsquo;s behavior.&nbsp;But in fact, the transitions are wild, chaotic, and non-monotonic. In my talk I will present a completely novel approach&nbsp;to analyse the BC-model. In the new approach everything we overlooked at the time becomes directly obvious&nbsp;and, in a sense, unmissable. Presential in the IFISC seminar room, Zoom stream at&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/bounded-confidence-a-deceptively-simple-model/

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IFISC Colloquium on Wednesday, Jan 18, 2023 at 14:30
by semfis＠ifisc.uib-csic.es 13 Jan '23

13 Jan '23

IFISC Colloquium on Wednesday Jan 18, 2023 at 14:30 Place: IFISC Seminar Room Title: Bounded Confidence: A deceptively simple model Speaker: Rainer Hegselmann, University of Bayreuth and Frankfurt School of Finance & Management Abstract: My talk will discuss the so called bounded confidence model (BC-model, for short).&nbsp;The model is very simple: Period by period, all agents average over all opinions that are not further away&nbsp;from their actual opinion than a given distance&nbsp;Epsilon, their `bound of confidence&lsquo;.&nbsp;The simplicity of the model is deceptive. Two decades ago, Ulrich Krause and I&nbsp;published an&nbsp;analysis of the model in which we overlooked completely a decisive feature of our model:&nbsp;For increasing values of Epsilon, our analysis back then suggests smooth transitions in the model&rsquo;s behavior.&nbsp;But in fact, the transitions are wild, chaotic, and non-monotonic. In my talk I will present a completely novel approach&nbsp;to analyse the BC-model. In the new approach everything we overlooked at the time becomes directly obvious&nbsp;and, in a sense, unmissable. Presential in the IFISC seminar room, Zoom stream at&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/bounded-confidence-a-deceptively-simple-model/

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Talk on Thursday, Jan 19, 2023 at 08:00
by semfis＠ifisc.uib-csic.es 13 Jan '23

13 Jan '23

Talk on Thursday Jan 19, 2023 at 08:00 Place: Salón de Actos Hospital Son Espases, planta 1, módulo L Title: IFISC: El potencial de la IA y los sistemas complejos en el sector salud Speaker: Claudio Mirasso, IFISC Abstract: <ol> <li>Presentaci&oacute;n del IFISC</li> <li>Proyectos desarrollados por investigadores del IFISC en el &aacute;mbito m&eacute;dico. <ol style="list-style-type:lower-alpha"> <li>Proyectos sobre gesti&oacute;n sanitaria</li> <li>Proyectos de an&aacute;lisis de datos biom&eacute;dicos y modelado </li> <li>Proyectos de propagaci&oacute;n de enfermedades y movilidad humana</li> <li>Proyectos que se han desarrollado conjuntamente con HUSE</li> </ol> </li> </ol> <ol start="4"> <li>Oportunidades de colaboraci&oacute;n en el &aacute;mbito de an&aacute;lisis de datos e IA</li> </ol> Url event:https://ifisc.uib-csic.es/en/events/seminars/ifisc-el-potencial-de-la-ia-y-los-sistemas-complej/

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Reminder: Talk, TODAY - Friday, Jan 13, 2023 at 10:00
by semfis＠ifisc.uib-csic.es 13 Jan '23

13 Jan '23

Talk on Friday Jan 13, 2023 at 10:00 Place: Zoom Seminar Title: Inferring microbial interaction networks from abundance data Speaker: Somaye Sheykhali, Deutsche Bank Abstract: In large and complex ecosystems, microorganisms such as bacteria, archaea, and other eukaryotic cells coexist. Microbial communities, in fact, represent the world&#39;s largest and most diversified ecosystems. Individuals interact in a variety of ways, including predation, mutualism, comensalism, amensalism, and competitiveness. Measuring these interactions in terms of direction and strength on a broad scale is a difficult task that necessitates a combination of data analysis and modeling. Furthermore, the dynamic nature of the abundances of various microbe species cannot be overlooked in order to give a valid theory on microbial interactions. We start discussing a method based on cooccurrences for later fitting a more sophisticated dynamical&nbsp;model (generalized Lotka-Volterrra) to longitudinal data.&nbsp;The fitted model displays the intrinsic growth rates as well as the interaction network between OTUs. The resulting interaction networks are mostly sparser than the ones derived from randomizations of the data.&nbsp;The dominant interaction types are also non-reciprocal like ammensalism and commensalism.&nbsp;These kinds of interactions have largely gone unnoticed in the modeling literature, but they demand more study for a complete picture of microbial ecosystems. We also find that mutualism is avoided and competition and predation slightly favored.&nbsp; <a href="https://uibuniversitat.zoom.us/j/97051592159" target="_blank">https://uibuniversitat.zoom.us/j/97051592159</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/inferring-microbial-interaction-networks-from-abun/

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Talk on Friday, Jan 13, 2023 at 10:00
by semfis＠ifisc.uib-csic.es 12 Jan '23

12 Jan '23

Talk on Friday Jan 13, 2023 at 10:00 Place: Zoom Seminar Title: Inferring microbial interaction networks from abundance data Speaker: Somaye Sheykhali, IFISC Abstract: In large and complex ecosystems, microorganisms such as bacteria, archaea, and other eukaryotic cells coexist. Microbial communities, in fact, represent the world&#39;s largest and most diversified ecosystems. Individuals interact in a variety of ways, including predation, mutualism, comensalism, amensalism, and competitiveness. Measuring these interactions in terms of direction and strength on a broad scale is a difficult task that necessitates a combination of data analysis and modeling. Furthermore, the dynamic nature of the abundances of various microbe species cannot be overlooked in order to give a valid theory on microbial interactions. We start discussing a method based on cooccurrences for later fitting a more sophisticated dynamical&nbsp;model (generalized Lotka-Volterrra) to longitudinal data.&nbsp;The fitted model displays the intrinsic growth rates as well as the interaction network between OTUs. The resulting interaction networks are mostly sparser than the ones derived from randomizations of the data.&nbsp;The dominant interaction types are also non-reciprocal like ammensalism and commensalism.&nbsp;These kinds of interactions have largely gone unnoticed in the modeling literature, but they demand more study for a complete picture of microbial ecosystems. We also find that mutualism is avoided and competition and predation slightly favored.&nbsp; <a href="https://uibuniversitat.zoom.us/j/97051592159" target="_blank">https://uibuniversitat.zoom.us/j/97051592159</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/inferring-microbial-interaction-networks-from-abun/

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Reminder: IFISC Seminar, TODAY - Wednesday, Jan 11, 2023 at 14:30
by semfis＠ifisc.uib-csic.es 11 Jan '23

11 Jan '23

IFISC Seminar on Wednesday Jan 11, 2023 at 14:30 Place: IFISC Seminar Room Title: Oceanic big data for marine megafauna conservation Speaker: Jorge P. Rodriguez, Instituto Mediterráneo de Estudios Avanzados (IMEDEA) Abstract: Large datasets have the potential to provide insights to solve problems such as the environmental challenges arising from the impact of human behaviour. In this context, marine researchers are developing a data culture to address the conservation of the oceans, including, for example, animal geolocalization, environmental satellite observations or human activities tracking. In this talk, I will introduce a global analysis of marine animal movement and the overlaps between marine megafauna trajectories and anthropogenic hazards, providing examples of the suggestions for conservation that our approaches may reveal. References Sequeira, Rodr&iacute;guez, Egu&iacute;luz, et al. Convergence of marine megafauna movement patterns in coastal and open oceans. Proc. Nat. Acad. Sci. 115, 3072 (2018). Sequeira, Hays, Sims, et al. Overhauling ocean spatial planning to improve marine megafauna conservation. Front. Mar. Sci. 6, 639 (2019). Presential in the seminar room with parallel Zoom stream at https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/oceanic-big-data-for-marine-megafauna-conservation/

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Reminder: Talk, TODAY - Tuesday, Jan 10, 2023 at 12:10
by semfis＠ifisc.uib-csic.es 10 Jan '23

10 Jan '23

Talk on Tuesday Jan 10, 2023 at 12:10 Place: IFISC Seminar Room Title: Quantum reservoir computing in finite dimensions Speaker: Rodrigo Martínez, IFISC (UIB-CSIC) Abstract: MdM Quantum Meeting Most existing results in the analysis of quantum reservoir computing (QRC) systems with classical inputs have been obtained using the density matrix formalism. This paper shows that alternative representations can provide better insights when dealing with design and assessment questions. More explicitly, system isomorphisms have been established that unify the density matrix approach to QRC with the representation in the space of observables using Bloch vectors associated with Gell-Mann bases. It has been shown that these vector representations yield state-affine systems (SAS) previously introduced in the classical reservoir computing literature and for which numerous theoretical results have been established. This connection has been used to show that various statements in relation to the fading memory (FMP) and the echo state (ESP) properties are independent of the representation, and also to shed some light on fundamental questions in QRC theory in finite dimensions. In particular, a necessary and sufficient condition for the ESP and FMP to hold has been formulated, and contractive quantum channels that have exclusively trivial semi-infinite solutions have been characterized in terms of the existence of input-independent fixed points. <a href="https://uibuniversitat.zoom.us/j/99411240356" style="word-wrap: break-word;" target="_blank">https://uibuniversitat.zoom.us/j/99411240356</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/quantum-reservoir-computing-in-finite-dimensions/

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Talk on Tuesday, Jan 10, 2023 at 12:10
by semfis＠ifisc.uib-csic.es 06 Jan '23

06 Jan '23

Talk on Tuesday Jan 10, 2023 at 12:10 Place: IFISC Seminar Room Title: Quantum reservoir computing in finite dimensions Speaker: Rodrigo Martínez, IFISC (UIB-CSIC) Abstract: MdM Quantum Meeting Most existing results in the analysis of quantum reservoir computing (QRC) systems with classical inputs have been obtained using the density matrix formalism. This paper shows that alternative representations can provide better insights when dealing with design and assessment questions. More explicitly, system isomorphisms have been established that unify the density matrix approach to QRC with the representation in the space of observables using Bloch vectors associated with Gell-Mann bases. It has been shown that these vector representations yield state-affine systems (SAS) previously introduced in the classical reservoir computing literature and for which numerous theoretical results have been established. This connection has been used to show that various statements in relation to the fading memory (FMP) and the echo state (ESP) properties are independent of the representation, and also to shed some light on fundamental questions in QRC theory in finite dimensions. In particular, a necessary and sufficient condition for the ESP and FMP to hold has been formulated, and contractive quantum channels that have exclusively trivial semi-infinite solutions have been characterized in terms of the existence of input-independent fixed points. <a href="https://uibuniversitat.zoom.us/j/99411240356" style="word-wrap: break-word;" target="_blank">https://uibuniversitat.zoom.us/j/99411240356</a> Url event:https://ifisc.uib-csic.es/en/events/seminars/quantum-reservoir-computing-in-finite-dimensions/

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IFISC Seminar on Wednesday, Jan 11, 2023 at 14:30
by semfis＠ifisc.uib-csic.es 06 Jan '23

06 Jan '23

IFISC Seminar on Wednesday Jan 11, 2023 at 14:30 Place: IFISC Seminar Room Title: Oceanic big data for marine megafauna conservation Speaker: Jorge P. Rodriguez, Instituto Mediterráneo de Estudios Avanzados (IMEDEA) Abstract: Large datasets have the potential to provide insights to solve problems such as the environmental challenges arising from the impact of human behaviour. In this context, marine researchers are developing a data culture to address the conservation of the oceans, including, for example, animal geolocalization, environmental satellite observations or human activities tracking. In this talk, I will introduce a global analysis of marine animal movement and the overlaps between marine megafauna trajectories and anthropogenic hazards, providing examples of the suggestions for conservation that our approaches may reveal. References Sequeira, Rodr&iacute;guez, Egu&iacute;luz, et al. Convergence of marine megafauna movement patterns in coastal and open oceans. Proc. Nat. Acad. Sci. 115, 3072 (2018). Sequeira, Hays, Sims, et al. Overhauling ocean spatial planning to improve marine megafauna conservation. Front. Mar. Sci. 6, 639 (2019). Presential in the seminar room with parallel Zoom stream at&nbsp;https://zoom.us/j/98286706234?pwd=bm1JUFVYcTJkaVl1VU55L0FiWDRIUT09 Url event:https://ifisc.uib-csic.es/en/events/seminars/oceanic-big-data-for-marine-megafauna-conservation/

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