Disruptive Research Institute retweeted
🚀 Second day at the Conference on Complex Systems @ConfCompSys at @BinghamtonU!
🔹 I presented our work on "Occupational Networks: Labor Market Structure and Gender Gap in Argentina", conducted together with Joaquín Carrascosa, Aaron Bernal Huanca, and @VSemesh @Netlab_IIEP.
🔹 I also had the pleasure of chairing the session "Temporal Structure, Coordination, and Mobility in Dynamic Networks", featuring five very interesting presentations:
- Modeling Seismicity with Hybrid Time-Window Networks: Integrating Temporal and Magnitude Information — Jennifer Ribeiro Silvério da Conceição
- Revealing Global Seismic Patterns through Temporal Multiplex Earthquake Networks — Jennifer Ribeiro Silvério da Conceição
- Joint Agency and Topological Resilience in Strategic Anti-Coordination Networks — @ChiaraMocenni
- Turn-Level Modeling of Dyadic Emotional Coordination via Time-Lagged Cross-Correlation — Jensine Wagner
- Hybrid Work and the Restructuring of Urban Mobility in U.S. Cities — @Martikagv
Many thanks to all the speakers for their engaging presentations and the stimulating discussions!
🌳 To round off the day, I had the opportunity to explore the beautiful nature preserve right on the Binghamton University campus! 😊
#CCS2026 #ComplexSystems #NetworkScience #ITBA
Disruptive Research Institute retweeted
🚀 Yesterday at the Conference on Complex Systems @ConfCompSys at @BinghamtonU!
🔹 Ariel Salgado presented our work on the Evolution of the Bicycle-Sharing Network in Buenos Aires (2010–2025), in a session chaired by @SKojaku.
🔹 I presented our research on the Evolution of the International Migration Network (1990–2024) and the Evolution of the Python Dependency Network, in a session chaired by @APerofsky.
It was great to exchange ideas with researchers working on different aspects of complex systems. Many thanks to @Timothy_Fraser1, Jingyao Tong, Phileas Dazeley Gaist, and many others for the interesting questions, valuable suggestions, and ideas for future collaborations!
Thanks again to @HirokiSayama and his team for organizing the conference on the beautiful @BinghamtonU campus, and to @RDextrasolar and @ITBA for supporting our participation.
#CCS2026 #ComplexSystems #NetworkScience #ITBA
Disruptive Research Institute retweeted
🚀 Excited to be at @BinghamtonU, together with Ariel Salgado, for the Conference on Complex Systems 2026 @ConfCompSys #CCS2026!
We're presenting four research projects exploring how network science can help us understand different aspects of our world, from urban mobility and labor markets to international migration and software ecosystems.
🔹 Evolution of the Bicycle-Sharing Network in Buenos Aires (2010–2025): A Complex Systems Perspective on Urban Mobility
With Ariel Salgado, Carolina Lang, Candela Belaustegui, @VSemesh.
🔹 Occupational Networks: Labor Market Structure and Gender Gap in Argentina
With Joaquín Carrascosa, Aaron Bernal Huanca, @VSemesh.
🔹 Structural Evolution of the International Migration Network (1990–2024)
With Alejandro Blasco, Marco Canero, Evangelina Iodice, Juan Manuel Rodríguez Miguel, @VSemesh.
🔹 Structural Evolution of the Python Dependency Network: Evidence from a Decade of Ecosystem Growth
With Juan Ignacio Catania, Mateo Guerrero Schmidt, Sofia Gutierrez, Martina Rosario Pérez.
Many thanks to @HirokiSayama and the conference organizers for bringing together the complex systems community and creating such a great opportunity to exchange ideas and explore new collaborations.
And special thanks to @RDextrasolar and @ITBA for supporting our participation in this event!
Disruptive Research Institute retweeted
📢 ¡Últimos días para enviar trabajos a nuestro Workshop!
Los invitamos a sumarse a este encuentro y compartir sus aportes en un espacio de intercambio de excelencia.
¡Los esperamos en octubre!
Más info: bit.ly/WS-2026
📢 ¡Últimos días para enviar trabajos al Workshop Interdisciplinario en “Econometría y Redes Complejas”!
📅 22 y 23 de octubre | 📍 @UBAeconomicas
¡Los esperamos para compartir trabajos e intercambiar ideas!
👇 Más info
Disruptive Research Institute retweeted
🚀 Esta semana voy a participar de las Jornadas de Ciencia de Datos UBA 2026: “Más allá de la IA: sinergia academia–industria”.
El jueves 24 de septiembre a las 18:10 voy a tener el gusto de dar la charla de apertura del segundo día de las jornadas.
Voy a hablar sobre la importancia de conectar la investigación académica con problemas reales de la industria y el sector público, y sobre algunos de los desafíos que surgen en el camino. En particular, voy a contar brevemente algunas investigaciones que hice desde la industria y, más recientemente, desde mi rol de profesor en la Maestría en Ciencia de Datos del @ITBA.
Después de mi charla, me interesa especialmente escuchar a:
🔹 Mariana Sozzi (YPF), sobre casos reales de IA, optimización y toma de decisiones en la industria energética.
🔹 Matías Butti (GenomIT), sobre ciencia de datos aplicada a la salud y medicina traslacional.
🔹 @FSchapachnik, Paula Garnero y @VSemesh en una mesa redonda sobre el futuro del trabajo, moderada por @EMislej.
🗓️ Las jornadas son el miércoles 23 y jueves 24 de septiembre, de 17:30 a 21:00 hs.
📍 Aula 1402, Edificio 0+Infinito, Ciudad Universitaria.
Muchas gracias a Ignacio Alvarez-Hamelin, Marcelo Soria, Marina Lauria de la Maestría en @DataMiningDC por la invitación y por organizar estas jornadas.
Y gracias a @RDextrasolar y al @ITBA por apoyar mi participación en la comunidad de ciencia de datos de Argentina.
¡Nos vemos en Ciudad Universitaria! 🙌
Disruptive Research Institute retweeted
¡Qué lindo encontrarme con Mariana Berruezo y Mariano @Blejman en Media Party Barcelona!
En @CaixaForum, un lugar espectacular para la primera edición de @MediaPartyOrg en Europa.
Me gustaron particularmente estos lightning talks:
🔹 Build as Fast as You Think: AI for Visual Storytelling
Cecilia Tombesi (@TheTimes)
🔹 Death to Boring Work: an AI Intern in Our Slack
@AdriMaqueda (Fundación @Civio)
🔹 Ditch the Funnel! Build Community Instead
Richard Höchner Gallicani (@RepublikMagazin)
🔹 Using Wikipedia APIs for News
Francisco Navas (@Wikimedia Foundation)
¡Muy buena combinación de periodismo, tecnología, IA y comunidad!
Disruptive Research Institute retweeted
🎓 Fantastic conference at @NuffieldCollege, @UniofOxford!
I'm very grateful for the opportunity to participate in the International Conference on Social Computing (ICSC 2026).
I presented our work, “The Shrinking Globe: Structural Evolution and Globalization of the International Migration Network (1990–2024),” during the special session on “Digital and Computational Demography,” chaired by @RidhiKash07. It was also a great opportunity to learn about the work of Satiyabooshan Murugaboopathy, @Carol_Coimbra2, Wenlan Zhang, @OmentiRiccardo, and @LP_CalderonB.
I also presented our second work, “Structural Evolution of the Python Dependency Network,” during the session on “Networks, Communities, and Collective Dynamics,” chaired by @JianiYan404. I really enjoyed learning about the research presented by the other speakers: @MicolMorellini, Chenfei Xie, Uku Sildoja, and @InnarLiiv.
Beyond the presentations, one of the best parts of the conference was the many great conversations, new ideas, and potential collaborations that emerged over these days.
Many thanks to Charles Rahal @OxfordDemSci and the entire team behind the conference for putting together such a stimulating event, and to @RDextrasolar and @ITBA for supporting our work!
Looking forward to continuing many of these conversations!
🌍 The Shrinking Globe
@DisruptiveRI founder @Ch4rleston is participating in the International Conference on Social Computing (ICSC) at the @UniOfOxford, September 2–4.
He's presenting our paper:
“The Shrinking Globe: Structural Evolution and Globalization of the International Migration Network (1990–2024)”
Joint work with Viktoriya Semeshenko @VSemesh
from @Netlab_IIEP @IIEP_oficial and Scientific Advisor at @DisruptiveRI, Alejandro Blasco, Marco Canero, Evangelina Iodice, and Juan Manuel Rodríguez Miguel.
We analyze how the global migration system has evolved over the past 35 years, using data from the UN International Migrant Stock and modeling migration as a directed, weighted network connecting countries through origin–destination flows.
Using Network Science, we study the topology of the global migration network, its community structure and centrality, and explore four major drivers of international migration: geographic proximity, cultural and linguistic affinity, economic asymmetry, and forced migration.
🔹 Our results point to a progressively more globalized migration system: regional communities persist, but become less cohesive over time.
🔹 Migration corridors increasingly cross traditional regional boundaries, while geographic proximity becomes relatively less important.
🔹 Linguistic similarity emerges as the most stable and consistent cultural factor throughout the entire 1990–2024 period.
🔹 Forced migration is the strongest structural exception: during political and humanitarian crises, geography regains prominence, driving large-scale displacement toward neighboring countries regardless of other factors.
Happy to discuss these results in Oxford and to connect with researchers working in Network Science and Computational Social Science!
#ICSC2026 #NetworkScience #ComplexNetworks
Disruptive Research Institute retweeted
Los invitamos a enviar trabajos al Workshop Interdisciplinario en “Econometría y Redes Complejas”
El evento se llevará a cabo los días 22 y 23 de octubre de 2026 en @UBAeconomicas presencial
Fecha límite para envío (resúmenes): 28/9
👇más info
📢 Los invitamos a mandar trabajos al Workshop Interdisciplinario en “Econometría y Redes Complejas”
El evento se llevará a cabo los días 22 y 23 de octubre de 2026 en @UBAeconomicas presencial
Fecha límite para envío (resúmenes): 28/9
👇más info
economicas.uba.ar/iiep/works…
Disruptive Research Institute retweeted
🐍 Structural Evolution of the Python Dependency Network
Happy to share that I will present this work at the International Conference on Social Computing (#ICSC) at the @UniofOxford, September 2–4, together with our work on “The Shrinking Globe.”
This is joint work with Juan Ignacio Catania, Mateo Guerrero Schmidt, Sofia Gutierrez, and Martina Rosario Pérez.
We study how the Python package ecosystem has evolved over nearly a decade by modeling package dependencies as a complex network and comparing two large-scale snapshots, from 2016 and 2025.
Our results reveal a massive expansion of the ecosystem accompanied by significant structural transformations:
🔹 The number of packages increased by more than an order of magnitude.
🔹 Dependencies grew even faster, revealing a clear densification of the network.
🔹 Average degree increased while modularity decreased, pointing toward a more interconnected ecosystem.
🔹 The most central packages changed substantially. While earlier stages were dominated by web-development and compatibility libraries, the current ecosystem shows data science, scientific computing, and testing packages emerging as structural hubs.
Overall, our findings suggest that the Python ecosystem is evolving toward a more interconnected architecture, following growth patterns observed in other complex networks, including densification and hub reorganization.
More broadly, the study shows how Network Science can help us understand the evolution, organization, and robustness of large technological ecosystems.
🙌 Thanks to my coauthors for their great work, and many thanks to Rodrigo Díaz @RDextrasolar and @ITBA for supporting my participation in this conference!
Disruptive Research Institute retweeted
🌍 The Shrinking Globe
Happy to share that I will be participating in the International Conference on Social Computing (ICSC) at the @UniofOxford, September 2–4.
I will present our paper:
“The Shrinking Globe: Structural Evolution and Globalization of the International Migration Network (1990–2024)”
Joint work with Viktoriya Semeshenko @VSemesh from @Netlab_IIEP @IIEP_oficial, Alejandro Blasco, Marco Canero, Evangelina Iodice, and Juan Manuel Rodríguez Miguel.
We analyze how the global migration system has evolved over the past 35 years, using data from the UN International Migrant Stock and modeling migration as a directed, weighted network connecting countries through origin–destination flows.
Using Network Science, we study the topology of the global migration network, its community structure and centrality, and explore four major drivers of international migration: geographic proximity, cultural and linguistic affinity, economic asymmetry, and forced migration.
🔹 Our results point to a progressively more globalized migration system: regional communities persist, but become less cohesive over time.
🔹 Migration corridors increasingly cross traditional regional boundaries, while geographic proximity becomes relatively less important.
🔹 Linguistic similarity emerges as the most stable and consistent cultural factor throughout the entire 1990–2024 period.
🔹 Forced migration is the strongest structural exception: during political and humanitarian crises, geography regains prominence, driving large-scale displacement toward neighboring countries regardless of other factors.
Looking forward to discussing these results in Oxford and connecting with researchers working in Network Science and Computational Social Science!
#ICSC2026 #NetworkScience #ComplexNetworks
Disruptive Research Institute retweeted
Gracias @Crst_C por la invitación a participar del Summer Institute in Computational Social Science (#SICSS)!
Fue un gusto dar una clase sobre Ciencia de Redes Humanas y Sociales a un grupo súper interdisciplinario y diverso, y compartir ideas sobre cómo pensar fenómenos sociales desde la perspectiva de redes, en el edificio de @IDAESoficial de la @UNSAMoficial.
🙌 Gracias también a @FactorData y a todo el equipo detrás de la primera escuela de “verano” de Computational Social Science en Argentina!
Disruptive Research Institute retweeted
🚀 Muy contento de presentar en @Simposio_ASAID un trabajo que analiza la evolución del ecosistema de Python desde la perspectiva de la ciencia de redes.
Hecho con Juan Ignacio Catania, Mateo Guerrero Schmidt, Sofia Gutierrez y Martina Rosario Pérez.
A partir de millones de relaciones de dependencia entre paquetes, estudiamos cómo evolucionó la estructura del ecosistema entre 2016 y 2025: cuáles son los paquetes centrales, cómo cambió la organización de la red y qué nos dicen estas transformaciones sobre la madurez y complejidad del ecosistema de Python.
Este trabajo surgió a partir de un proyecto realizado por estudiantes del curso de Ciencia de Redes en @Exactas_UBA. Disfruté ver cómo un trabajo práctico puede crecer hasta convertirse en una investigación que termina en un simposio científico.
Esta presentación forma parte de la sesión "Ciencia de redes y sistemas complejos", que estará coordinada por Ariel Salgado de @ITBA como Session Chair.
¡Nos vemos en La Plata del 10 al 12 de agosto de 2026!
#ASAID2026 #55JAIIO @JAIIO_oficial @SADIO_oficial
Disruptive Research Institute retweeted
🚀 Fortaleciendo el ecosistema de Inteligencia Artificial y Ciencia de Datos
Me pone muy contento que Ariel Salgado, Rodrigo Ramele, Julia Picabea y Esteban Roitberg se sumen al Comité de Programa del @Simposio_ASAID.
Además, tiene un valor especial que sean colegas del @ITBA, al que me sumé hace muy poco. Es una alegría seguir construyendo comunidad y generando espacios para la IA y la Ciencia de Datos en Argentina.
📸 En la foto, con Ariel y Rodrigo en su taller de robótica.
#InteligenciaArtificial #CienciaDeDatos #ITBA #ASAID #ASAID2026 @JAIIO_oficial @SADIO_oficial
Disruptive Research Institute retweeted
🎓 Muy contento de compartir que me estoy sumando al @ITBA como investigador y profesor!
Voy a trabajar en el desarrollo de proyectos de investigación en Ciencia de Datos (especialmente en Ciencia de Redes) con foco en generar impacto en el mundo real, muy en línea con la misión de @DisruptiveRI.
También voy a diseñar y dictar cursos de grado y posgrado en Ciencia de Datos y Redes Complejas.
🙌 Muchas gracias a @RDextrasolar y Juan Vidaguren por la confianza!
Disruptive Research Institute retweeted
🎓 Ayer volví a @Exactas_UBA para participar del Encuentro de intercambio y articulación académico-profesional, organizado por la Subsecretaría de Graduadxs.
Un espacio muy valioso para fortalecer el vínculo entre el ámbito académico y el mundo profesional, y para seguir construyendo puentes entre ciencia y sociedad.
Fue un placer charlar con Juliana Gamboa y Diego Weinberg sobre el Polo Exactas, una iniciativa estratégica que busca potenciar el ecosistema emprendedor desde la ciencia y la investigación.
Juliana lidera la Subsecretaría de Vinculación, Innovación y Transferencia Tecnológica, impulsando acciones concretas para:
🔹 conectar la investigación académica con la industria
🔹 promover la transferencia tecnológica
🔹 acompañar emprendimientos de base científico-tecnológica
💡 Iniciativas como el Polo Exactas muestran el enorme potencial de articular investigación con necesidades concretas de la industria y el sector público.
#Investigación #Innovación #UBA #PoloExactas
🌟 Happy to introduce Carlos Greg Diuk, part of our Scientific & Industry Advisors team at Disruptive Research Institute.
@CarlosDiuk is a researcher in the Computational Social Science team at Meta, where his work integrates data science, machine learning, and social sciences to better understand the relationship between society and the use of social networks. His recent research focuses on digital well-being.
He studied Computer Science at @Exactas_UBA, and completed his PhD in Reinforcement Learning at @RutgersU. Before joining Meta, he worked as a researcher in neuroscience at @Princeton.
🔬 Together with our advisory team, Greg brings a unique interdisciplinary perspective at the intersection of AI and social sciences, strengthening our mission of bridging research and real-world impact.
#DisruptiveResearch #ComputationalSocialScience #AppliedResearch
Disruptive Research Institute retweeted
Very happy that our paper on synchronization in random geometric graphs on the 2d sphere has been published.
You can find the paper at lnkd.in/dXykcs85
@DynamicsSIAM
Disruptive Research Institute retweeted
🌟 It’s a pleasure to introduce Viktoriya Semeshenko, part of our Scientific & Industry Advisors team at @DisruptiveRI.
@VSemesh is a researcher at @IIEP_oficial, where she leads the Complex Systems and Networks Laboratory @Netlab_IIEP.
Her work integrates complex systems science, network theory, and advanced data analytics to model the dynamics of social, economic, and urban systems. Using a rigorous methodological approach that combines theoretical modeling, numerical simulations, social experiments, and advanced data mining, she studies how complex structures shape real-world outcomes.
Her current research focuses on applying these tools to high-impact economic and technological challenges, including labor market dynamics, financial and corporate networks, scientific collaboration ecosystems, and the optimization of power grids in the context of the energy transition.
🔬 Together with @AndresTobelem, @MOskarsdottir, @D_E_Fernandez and @PGroisma, Viktoriya brings strong interdisciplinary depth to our mission of bridging rigorous research with real-world impact.
#DisruptiveResearch #NetworkScience #ComplexSystems #DataScience
Disruptive Research Institute retweeted
Thrilled to join this adventure. Thank you @ch4rleston
🌟 It’s a pleasure to introduce Viktoriya Semeshenko, part of our Scientific & Industry Advisors team at @DisruptiveRI.
@VSemesh is a researcher at @IIEP_oficial, where she leads the Complex Systems and Networks Laboratory @Netlab_IIEP.
Her work integrates complex systems science, network theory, and advanced data analytics to model the dynamics of social, economic, and urban systems. Using a rigorous methodological approach that combines theoretical modeling, numerical simulations, social experiments, and advanced data mining, she studies how complex structures shape real-world outcomes.
Her current research focuses on applying these tools to high-impact economic and technological challenges, including labor market dynamics, financial and corporate networks, scientific collaboration ecosystems, and the optimization of power grids in the context of the energy transition.
🔬 Together with @AndresTobelem, @MOskarsdottir, @D_E_Fernandez and @PGroisma, Viktoriya brings strong interdisciplinary depth to our mission of bridging rigorous research with real-world impact.
#DisruptiveResearch #NetworkScience #ComplexSystems #DataScience





































