@simonecent

🦋 @simonecent.bsky.social Data Scientist & researcher at @MobS_FBK - @FBK_research

 Trento
scentellegher.github.io/
Joined January 2012
  • Tweets670
  • Following392
  • Followers363
42Media
New one out👇👇👇
Nicolò A. Girardini@nicogira95Sep 2
📢 New preprint out! Mobility data are used to study human behavior, but biases in population representativeness can affect downstream analyses. We introduce BePop, a framework to calibrate mobile phone GPS data not only demographically, but also behaviorally. 🧵👇
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NetScience@net_scienceSep 3
Behavioral calibration of mobile-phone GPS data for population-representative analyses arxiv.org/abs/2609.01042

Behavioral calibration of mobile-phone GPS data for...

Mobile phone mobility data have transformed the study of human behavior, but demographic and behavioral biases can compromise their representativeness and distort population-level inference....

arxiv.org
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📢⏰ Very happy to share a new article published in the Journal of Quantitative Criminology having as 1st author @AriadnaAlbors, brilliant PhD student co-advised w/@mtizzoni. Open access link: link.springer.com/article/10…. Congrats to Ariadna for her first publication! Some info ⬇️

Deep Learning for Crime Forecasting: The Role of Mobility at Fine-grained Spatiotemporal Scales

Journal of Quantitative Criminology - To develop a deep learning framework to evaluate if and how incorporating micro-level mobility features, alongside historical crime and sociodemographic data,...

link.springer.com
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Nicolò A. Girardini@nicogira952 Sep 2025
🚀 Just out in Applied Network Science: 🧩 “Community aware temporal network generation” Our Labelled Egocentric Temporal Neighborhood method generates surrogate temporal networks that reproduce realistic communities interactions 🕸️ 📄 doi.org/10.1007/s41109-025-0…
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LanD@LanD_FBK4 Aug 2025
📢 Do you want to join our group? We opened **two** calls for a fully funded PhD. Details are in the image and at the following links. Calls: iecs.unitn.it/education/admi… PhD Details: iecs.unitn.it/education/admi… Deadline: August 22nd, 2025, hrs. 04:00 PM (CEST)
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🚀Job loss disrupts individuals’ mobility and their exploratory patterns🚀 Thanks to a great collaboration with @denadai2, @marcotonin, @brulepri and @LucchiniLorenzo our latest study is finally out in iScience! doi.org/10.1016/j.isci.2025.…
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We introduce a real-time method to infer individual unemployment using GPS trajectories and survey data. By analyzing mobility patterns of ~1 million individuals before and after job loss we reveal a sustained contraction in exploration that deepens with time since job loss.
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NetScience@net_science6 Jun 2025
Forecasting Seasonal Influenza Epidemics with Physics-Informed Neural Networks arxiv.org/abs/2506.03897

Forecasting Seasonal Influenza Epidemics with Physics-Informed...

Accurate epidemic forecasting is critical for informing public health decisions and timely interventions. While Physics-Informed Neural Networks have shown promise in various scientific domains,...

arxiv.org
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NetScience@net_science9 May 2025
We present Epydemix: open-source python package for all stages of epidemic modelling: from models' definition to their calibration via ABC methods. Website: epydemix.org/. Paper: medrxiv.org/content/10.1101/…. High level summary: epistorm.org/activities/epyd…
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Andrea Baronchelli@a_baronca6 May 2025
*Permanent* position in Applied Mathematics at City. We are - of course - particularly interested in profiles in Computational Social Science, Network Science, Data Science, and related fields. The application deadline is June 1st. jobs.ac.uk/job/DMY889/lectur…
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Prevedere i movimenti umani è cruciale ma l’IA fatica quando usciamo dalla routine Una ricerca @FBK_research - @CNRsocial_ su @PNASNews propone algoritmo che unisce intelligenza individuale e collettiva per anticipare anche gli spostamenti “imprevedibili” magazine.fbk.eu/it/news/inte…
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🎉 New paper out in PNAS! 👇👇👇
This Post is from an account that no longer exists. Learn more
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Steve Azzolin@steveazzolin17 Apr 2025
Faithfulness of GNN explanations isn’t one-size-fits-all🧢 Our last @iclr_conf paper breaks it down across: 1. Evaluation metrics 2. Model implementations 3. OOD generalisation w: @AntonioLonga94 @looselycorrect @andrea_whatever 1/5
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Lorenzo Lucchini@LucchiniLorenzo26 Mar 2025
Happy to see our work, "Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries", out in EPJ Data Science "Data for the Wellbeing of Most Vulnerable". bit.ly/socioeconomic_dispari… 🙏to the editors and the amazing team for the hard work!
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Morgan Frank@mrfrank579030 Dec 2024
New @NatureHumBehav paper tracks mobility to reveal surprisingly long-distance dependencies between businesses. These insights could improve policy to bolster neighborhood economies and help business owners see how closures elsewhere might impact them @estebanmoro @takayabe_0505
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📣 New preprint out 🚨 "Predicting human cooperation: sensitizing drift-diffusion model to interaction and external stimuli" 👥 Co-authored with @L_Ferrarotti and in collab with @brulepri and @ricgallotti Check it out on arXiv : arxiv.org/abs/2412.16121

Predicting human cooperation: sensitizing drift-diffusion model to...

As humans perceive and actively engage with the world, we adjust our decisions in response to shifting group dynamics and are influenced by social interactions. This study aims to identify which...

arxiv.org
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Mátyás Vincze@vinczematyas_18 Dec 2024
🎉 Our work "SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks" has been accepted by AAAI 2025! #AAAI2025 paper: arxiv.org/abs/2412.13053 with @L_Ferrarotti, @brulepri, @gih82 🧵1/6
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Esteban Moro@estebanmoro15 Nov 2024
We are hiring a postdoc at my group (SUNLab) @NUnetsi. Interested in working on multidisciplinary problems like segregation, health, or economic growth from the perspective of Social Urban Networks? Contact me if you are interested. Please share it! northeastern.wd1.myworkdayjo…
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🚨🚨New wp alert! We use machine learning to predict mafia infiltration in local governments in 🇮🇹 + we study the impact of EU funds on infiltration risk. Great econ-crim collab with @Giammacco and @mlemoglie 🔥/// Check thread below for an excellent overview ⬇️⬇️⬇️
Gianmarco Daniele@Giammacco14 Aug 2024
Can machine learning be used to predict organized crime infiltration? This is what we show in a new working paper with @CampedelliGian and @mlemoglie "Mafia, Politics and Machine Predictions" papers.ssrn.com/sol3/papers.… A thread:
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MobS Group @ FBK@MobS_FBK24 Jul 2024
🚨Is anyone willing to join @FBK_research and @brulepri for a fully-funded PhD on Cooperative Large Language Models?🧐 Drop a message to Bruno @brulepri and spread the news. Deadline for application is September 5th! Additional info here: iecs.unitn.it/education/admi…
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