past events

Webinars Complex Systems and COVID-19 (II)

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Barcelona Webinar 26/11/2020

Arriba un segon Cicle de Webinars sobre Sistemes Complexos enfocats en el COVID-19: "Complex Systems and COVID-19 (II)", organitzat per l'UBICS i complexitat.cat. Enfocat per a tothom interessat en els Sistemes Complexos i els seus actuals camps d’aplicació.

26 November - Aleksandra Walczak, ENS, Paris

"Dynamics of T-cell memory formation and reactivation after COVID-19"

17 December - Maria del Rio-Chanona, INET and MI, Oxford

"The economic impact of the COVID-19 pandemic: A non-equilibrium network model"

14 January- Lucas Lacasa, QMUL, London

"Reducing the stress on intensive care by optimally load balancing patients in the era of COVID-19"

Totes les xerrades es faran a les 15:30h per la plataforma online BbCollaborate. En breus publicarem els links als Webinars. 

http://ubics.ub.edu/

Setmana de la Ciència - UBICS

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Barcelona Sala 3.20, Departament de la Matèria Condensada, Facultat de Física 17/11/2020

TALLER DE MODELITZACIÓ COMPUTACIONAL D'EPIDÈMIES

Tipus d'activitat: Tallers i cursos
Àrea temàtica: Coronavirus SARS-CoV-2
Tipus de públic: Estudiants ESO, Batxillerat i Cicles formatius
Orientat: Grups

Activitat: Sabies que existeixen diferents models matemàtics que estudien com afecta un virus (com podría ser el del coronavirus) en una població? Aquest tipus de models ens ajuda a preveure com serà el contagi i a avaluar les mesures a seguir per tal d’aturar el virus en el mínim temps possible. Et convidem a navegar per diferents simulacions interactives en les que aprendràs com es construeixen aquests models, quins son els paràmetres a tenir en compte per modelitzar una epidèmia i descubrir quins resultats s'obtenen en funció d'aquests.

Endinsa’t en aquest interessant Taller!

Més informació a: https://setmanaciencia.fundaciorecerca.cat/frontend/detall_activitat.asp?ID=3188

 

https://setmanaciencia.fundaciorecerca.cat/frontend/detall_activitat.asp?ID=3188

NetSci2020 Political Communication Networks

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Online 18/09/2020

The aim of the PCNet20 satellite is to provide a forum where qualitative and quantitative methods in political communication studies can interact and mutually cross-fertilize.
 

Traditionally, news media served as an interface between citizens and politics, eventually influencing the political behaviour together with the context and social networks embeddedness.

In the information age, both politics and communication are transformed. The popularity of online social platforms  has increased the number of actors able to spread political, commercial and other messages to a massive number of potential recipients. In this workshop, we want to explore and characterize such phenomena through the lens of network science. 

 

Topics

  • Networked Collective Political Identities

  • Context collapse

  • Online Culture Wars

  • Diffusion of News and Misinformation

  • Selective Exposure, Echo Chambers and Polarization

  • Emergence of leaderships

  • Digital Parties Platform Communication

  • Data based propaganda

  • Populism (operative definition / quantification)

  • The Rise of the far right

CALL FOR ABSTRACTS:

The extended deadline for abstract submission is July 15th, 2020.
Notifications of acceptance will be sent via e-mail by July 20th, 2020.

Submit via Easy Chair

Visit our website and follow us on Twitter to stay updated.

https://pcnsatellitenetsci.wixsite.com/workshop

Webinars Complex Systems and COVID-19

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Barcelona 17/07/2020

"Complex Systems and COVID-19" : Cicle de Webinars sobre Sistemes Complexos enfocats en el COVID-19 organitzat per l'UBICS i complexitat.cat. Enfocat per a tothom interessat en els Sistemes Complexos i els seus actuals camps d’aplicació.

11 June - Manlio de Domenico, CoMuNe Lab, Fondazione Bruno Kessler

"Tackling complexity: foundations and appplications."

18 June - Nuria Oliver, Data-Pop Alliance & ELLIS (The European Laboratory for Learning and Intelligent Systems)

"Data Science to fight against COVID-19"

25 June - Santiago F. Elena, Instituto de Biología Integrativa de Sistemas, CSIC

 “Identifying early-warning signals for the sudden transition from health to disease stages by dynamical network biomarkers”

02 July - Alex Arenas, DEIM, Universitat Rovira i Virgili

 “Epidemics and mobility”

16 July - Ernesto Estrada, IUMA

"Fractional diffusion on the human proteome as an alternative explanation to the multi-organ damage of SARS CoV-2."

Totes les xerrades es faran a les 16h.

Ara pots trobar tots els videos aquí: https://www.youtube.com/watch?v=53tEodkCv0c&list=PLf7A47_ENtnLkXJ8QPspRIT5a0zz-1nPd&index=5

http://ubics.ub.edu/

Webinar by Ernesto Estrada

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Webinar 16/07/2020

Date: 16 July, 16h (CET, GMT+2, Barcelona/Madrid/Paris/Berlin)

Speaker: Ernesto Estrada, IUMA, Universidad de Zaragoza

Title:  “Fractional diffusion on the human proteome as an alternative explanation to the multi-organ damage of SARS CoV-2"

Link to the webinar: https://eu.bbcollab.com/guest/a13864e69a1b4ea28d116e5bba005662

Abstract: 

SARS CoV-2 is the new coronavirus causing the pandemic known as COVID-19. This respiratory disease is characterized by multi-organ and systemic damages in patients. The abundance of ACE2 on human organs has been claimed as responsible for such multi-organ spread of the virus damages. However, once on circulation the virus could spread to practically every organ in the human body as
ACE2 is ubiquitous on endothelia and smooth muscle cells of virtually all organs. Contrastingly, SARS CoV-2 only damages selectively a few organs. Here, we develop the hypothesis that the effects of the SARS CoV-2 virus can be spread through the human protein-protein interaction (PPI) network in a subdiffusive way. We then elaborate a time-fractional diffusion model on networks which allow
us to study this phenomenon. Starting the diffusion from the SARS CoV-2 Spike protein to the human PPI network we show here that the pertubations can spread across the whole network in very few steps. Consequently, we discover a few potential routes of propagation of these perturbations from proteins mainly expressed in the lungs to proteins mainly expressed in other different tissues, such as
the heart, cerebral cortex, thymus, lymph node, testis, prostate, liver, small intestine, duodenum, kidney, among others already reported as damaged by COVID-19.

https://eu.bbcollab.com/guest/a13864e69a1b4ea28d116e5bba005662

Webinar by Alex Arenas

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Barcelona Webinar 02/07/2020

Date: 2 July, 16h (CET, GMT+2, Barcelona/Madrid/Paris/Berlin)

Speaker: Alex Arenas, DEIM, Universitat Rovira i Virgili​

Title:  “Epidemics and mobility”

Link to the webinar: https://eu.bbcollab.com/guest/8c04df402c3e4422a66fd1133249678b

Abstract: 

Reaction–diffusion processes have been widely used to study epidemics in networked metapopulations. In the context of epidemics, reaction processes are understood as contagions within each subpopulation (patch), while diffusion represents the mobility of individuals between patches. Recently, the characteristics of human mobility, such as its recurrent nature, have been proven crucial to understand the phase transition to endemic epidemic states. Here, we present a framework able to cope with the elementary epidemic processes, the spatial distribution of populations and the commuting mobility patterns. We will show after, how this framework has been adapted to describe the COVID-19 pandemic.

Webinar by Santiago F. Elena

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Webinar 25/06/2020

Date: 25 June, 16h (CET, GMT+2, Barcelona/Madrid/Paris/Berlin)

Speaker: Santiago F. Elena, Institute for Integrative Systems Biology, CSIC​

Title: "Why some patients develop a severe syndrome while other remain asymptomatic? Early-warning signals associated with the phase transition from health to disease."

You can see the webinar here: https://www.youtube.com/watch?v=IMY08wJQndU&list=PLf7A47_ENtnLkXJ8QPspRIT5a0zz-1nPd&index=6

 

Abstract: One of the most outstanding observations during COVID-19 pandemics is that some patients have an asymptomatic infection while others suffer severe symptoms, some of them becoming fatal. Is there any relation between the global gene expression state of patients and they propensity to suffer an asymptomatic infection? Is it possible to identify which genes, or groups of them within a regulation network, may serve as markers to predict the clinical fate of a patient before the presence of any symptom? In this seminar I will introduce the fundamentals of the theory of Dynamical Biomarkers of Networks (DBN), illustrating their application to the analysis of transcriptomic data during disease progression in a pathosystem model.

 

Títol: "Perquè alguns pacients desenvolupen símptomes severs mentre uns altres són asimptomàtics? Biomarcadors d'una transició de fase associada a la progressió de la malaltia”

Resum: Una de les observacions més destacables fetes durant l'epidèmia de la COVID-19 és que alguns pacients passen la infecció de manera asimptomàtica mentre que uns altres pateixen símptomes severs que en un percentatge de casos tenen un desenllaç fatal.  Existeix alguna associació entre l'estat d'expressió gènica global dels pacients i la seua propensió a patir una infecció asimptomàtica?  És possible identificar quins gens, o grups d'ells en una xarxa de regulació, servirien de marcadors per a predir el destí clínic d'un pacient abans que mostre cap símptoma?  En aquesta xarrada presentaré els fonaments de la  teoria dels biomarcadors dinàmics de xarxes (DNB) i il·lustraré la seua aplicació a l'anàlisi de dades transcriptòmics presos al llarg de la progressió de la malaltia en un patosistema model.

 

 

 

https://eu.bbcollab.com/guest/03d4a446deec472f9f729071b7292d63

Webinar by Nuria Oliver

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Barcelona Webinar 18/06/2020

Date: 18 June, 16h (CET, GMT+2, Barcelona/Madrid/Paris/Berlin)

Speaker: Nuria Oliver, Data-Pop Alliance & ELLIS

Title: "Data Science to fight against COVID-19"

You can see the webinar here: https://www.youtube.com/watch?v=0C7PoVf2QNY&list=PLf7A47_ENtnLkXJ8QPspRIT5a0zz-1nPd&index=6&t=0s

 

Abstract: 

In my talk, I will describe the work that we have done within the Commission on AI and COVID-19 for the President of the Valencian Region. As commissioner, I have led a multi-disciplinary team of 20+ scientists who have volunteered since March 2020. We have been working on 4 large areas: (1) human mobility modeling; (2) computational epidemiological models (both metapopulation and individual models); (3) predictive models; (4) citizen surveys (https://covid19impactsurvey.org)

I will describe the results that we have produced in each of these areas and will share the lessons learned in this very special initiative of collaboration between the civil society at large (through the survey), the scientific community (through the Expert Group) and a public administration (through the Commissioner at the Presidency level)

Short Biography

Nuria Oliver, is Chief Data Scientist at Data-Pop Alliance, Chief Scientific Advisor at the Vodafone Institute and co-founder of ELLIS (The European Laboratory for Learning and Intelligent Systems).  Since March 2020, she has been appointed Commissioner for the President of the Valencian Region on AI Strategy and Data Science applied to the fight against COVID-19. As part of her work as commissioner, she is leading a team of over 20 scientists working on large-scale human mobility modeling, computational epidemiological modeling and data science to answer public policy questions. As part of this work, she has launched the https://covid19impactsurvey.org, one of the largest anonymous citizens’ surveys to date related to COVID-19, with over 230,000 answers.

She is a Telecommunications Engineer from the UPM and holds a PhD in Artificial Intelligence from the Massachusetts Institute of Technology (MIT). 

She has over 25 years of research experience in the areas of human behavior modeling and prediction from data and human-computer interaction. She has been a researcher at Microsoft Research (Redmond, WA), the first female Scientific Director at Telefonica R&D for over 8 years and the first Director of Research in Data Science at Vodafone globally (2017-2019).

Her work in the computational modeling of human behavior using Artificial Intelligence techniques, human-computer interaction, mobile computing and Big Data analysis - especially for the Social Good is well known with over 160 scientific publications that have received more than 17800 citationsand a ten best paper award nominations and awards. She is co-inventor of over 40 filed patents and she is a regular keynote speaker at international conferences.  Her work has contributed to the improvement of services, the creation of new services, the definition of business strategies and the creation of new companies.

Nuria is the only Spanish researcher recognized by the ACM as Distinguished Scientist (2015) and Fellow (2017) at the same time. She is also a Fellow of the IEEE (2017) and the European Association for Artificial Intelligence (2016). She has received an Honorary Doctorate from the Miguel Hernandez University (2018). Dr. Oliver is the youngest and fourth female member of the Spanish Royal Academy of Engineering (2018) and an elected member of the Academia Europaea (2016) and CHI Academy (2018), where she is the only Spanish scientist.

As an advisor, Dr. Oliver is a member of the scientific advisory committee of several European universities, the Gadea Ciencia Foundation, Mahindra Comviva and the Future Digital Society, among others. In addition, she advises the Government of the Valencia Community, Spain and the European Commission on issues related to Artificial Intelligence. She is a member of a Global Future Council at the World Economic Forum. She is an independent member of the board of Bankia. 

Dr. Oliver is a member of the program committee of the main international congresses in her research areas. She has also been a member of the organizing committee of 19 international conferences and is a member of the editorial committee of five international magazines.

Dr. Oliver's work has been recognized internationally with numerous awards. She graduated top of her class at the UPM and received the First National Telecommunications Award (1004). She is the first Spanish scientist to receive the MIT TR100 (today TR35) Young Innovator Award (2004) and the Rising Talent award by the Women’s Forum for the Economy and Society (2009). She has been awarded Data Scientist of the Year in Europe (2019), Engineer of the Year Award by the COIT (2018), the Medal for Business and Social Merit by the Valencian Government (2018), the European Digital Woman of the Year award (2016) and the Spanish National Computer Science Angela Robles Award (2016).

She has been named one of the top 11 Artificial Intelligence influencers worldwide by Pioneering Minds (2017), one of Spanish wonderful minds in technology by EL PAIS newspaper (2017), “an outstanding female director in technology” (El PAIS, 2012), one of “100 leaders for the future” (Capital, 2009) and one of the “40 youngsters who will mark the next millennium” (El PAIS, 1999).

Nuria firmly believes in the value of technology to improve the quality of people, both individually and collectively, and dedicates her professional life to achieving it.

Her passion is to improve people’s quality of life, both individually and collectively, through technology. She is also passionate about scientific outreach. Hence, she regularly collaborates with the media (press, radio, TV) and gives non-technical talks about science and technology to broad audiences, and particularly to teenagers, with a special interest on girls. She has given talks to more than 10,000 adolescents, has contributed to the book "Digital natives do not exist" (Deusto, 2017) with the chapter "Digital scholars", has written articles for EL PAIS, The Guardian, TechCrunch among others and has been co -organizer of large congresses with thousands of attendees, such as the first TEDxBarcelona event dedicated to emerging education, the I and II International Congress on Artificial Intelligence and the I International Congress on Aging. Her talks on WIRED, TEDx and similar events have been viewed thousands of times.

Twitter: @nuriaoliver

URL: http://www.nuriaoliver.com   https://en.wikipedia.org/wiki/Nuria_Oliver

http://ubics.ub.edu/

Webinar by Manlio de Domenico

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Barcelona Webinar 11/06/2020

Speaker: Manlio de Domenico, CoMuNe Lab, Fondazione Bruno Kessler

Title: "Tackling complexity: foundations and applications"

Abstract: 

Complex systems consists of units whose interactions at a microscopic scale lead to the spontaneous emergence of collective behavior and other unexpected phenomena at the meso- and macroscale. In this seminar I will introduce some basic concepts and tools of complexity science without relying on technicalities.
In the second part of the seminar I will briefly discuss the relevance of big data for the analysis of complex systems and, more specifically, of socio-technical systems, spanning from the rise of collective attention to one of the most relevant phenomena observed during the COVID-19 pandemic: the infodemic related to coronavirus.

Link to the webinar:  https://eu.bbcollab.com/guest/995d03a3a751431fbc3f4999aa88e8b7

https://eu.bbcollab.com/guest/995d03a3a751431fbc3f4999aa88e8b7

Complexity Science and Social Systems - CANCELED!

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Barcelona UB main building, Gran Via, Sala de Professors, 5a planta de l’Edifici Josep Carner, Fac. Filologia i Comunicació (entering by C/ Aribau gate) 23/03/2020

ATENCIÓ: WORKSHOP CANCEL·LAT!! 

ATTENTION: WORKSHOP CANCELED!!

Degut a les cancel·lacions dels vols dels speakers internacionals. 

Due to travel cancellations of invited international speakers.

 

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Complexity Science and Social Systems

Date: 23 March 2020

Time: 9:45 - 12:00

Venue: UB main building, Gran Via, Sala de Professors, 5a planta de l’Edifici Josep Carner, Fac. Filologia i Comunicació (entering by C/ Aribau gate)

Presenters:

Null models for public opinion dynamics

Dr Chico Camargo (Oxford Internet Institute, University of Oxford)

Formalising a hypothesis: agent-based model for studying agricultural sustainability in prehistoric Estonia

Andres Kimber (Institute of History and Archaeology, University of Tartu)

 

Bridging disciplinary silos in social systems' research: your questions/my questions, your methodology/my methodology

Dr Sergi Lozano (School of Economics, University of Barcelona)

Modelling synaptic plasticity deficits using a Moran process model

Dr Yayoi Teramoto Kimura (Oxford Policy Engagement Network, Royal Society)

About complexity science and social systems

How can complexity science help us better understand past and present complex social systems as diverse as online social networks or the Roman economy? This half-day workshop will explore the role complexity science, and in particular its use of network approaches, can play for the study of the human present and past.

Complexity science is now a thriving field and its application for the study of the human past shows huge potential. This workshop will explore this potential.

 

 

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