cv
Essential CV.
Basics
| Name | Michele Tizzani |
| Label | Scientist |
| micheletizzani@yahoo.it | |
| Summary | Physicist interested in complex system, with a focus on socal science, epidemics and infodemics. |
Work
- 2025.01 - 2027.01
Postdoc researcher
Technical University of Denmark
Research human behavior and residential mobilty usnig registry data.
- Complex Systems
- Epidemics
- Computational Social Science
- Infodemics
- Network Science
- 2019.05 - 2025.01
Postdoc researcher
ISI FOundation
Research on epidemics and human behavior using non-conventional data.
- Complex Systems
- Epidemics
- Computational Social Science
- Infodemics
- Network Science
Education
Publications
-
2024 Political Issue or Public Health: the Vaccination Debate on Twitter in Europe
Sci Rep 14, 4397 (2024). https://doi.org/10.1038/s41598-024-54863-7
Exploration of the relationship between the political interest of social media users and their exposure to vaccine-hesitant content on Twitter in 17 European countries, finding that users following right-wing or anti-EU politicians are more likely to encounter such content during the early months of the pandemic.
-
2023 Global Misinformation Spillovers in the Vaccination Debate Before and During the COVID-19 Pandemic: Multilingual Twitter Study
JMIR Infodemiology 3:e44714 (2023), doi: 10.2196/44714
Exploration of the global network of anti-vaccination communities on Twitter, and the role that content moderation efforts by Twitter had worldwide in reducing the spread of vaccine-related misinformation.
-
2023 Impact of food-related conflicts on self-reported food insecurity
Front. Sustain. Food Syst. 7:1239992. doi: 10.3389/fsufs.2023.1239992
-
2022 Echoes through Time: Evolution of the Italian COVID-19 Vaccination Debate
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media 16(1) (2022), doi:10.1609/icwsm.v16i1.19276
Exploration of the Italian network of anti-vaccination communities on Twitter.
-
2021 Phase transitions and stability of dynamical processes on hypergraphs
Communications Physics 4, 24 (2021), doi:10.1038/s42005-021-00525-3
Analytical framework supported by synthetic experiments for stability analysis of general processes on high-order structures.
-
2021 Integrating digital and field surveillance as complementary efforts to manage epidemic diseases of livestock: African swine fever as a case study
PLOS One 16(12): e0252972 (2021), doi:journal.pone.0252972
-
2020 Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis
Journal of Medical Internet Research 22 (10) (2020), doi:10.2196/21597
Exploration of the relationship between media coverage, public response, and the COVID-19 pandemic, finding that media coverage drives public attention and raises questions about the impact of attention saturation on collective awareness and behavioral change.
-
2018 Epidemic spreading and aging in temporal networks with memory
Physical Review E 98 (6), 062315, doi:PhysRevE.98.062315
Analysis of the effects of memory among individuals on the spreading of a disease using the activity-driven model.
Skills
| Physics | |
| Physics | |
| Modeling | |
| Statistical Analysis | |
| Natural Language Processing |
Languages
| Italian | |
| Native speaker |
| English | |
| Fluent |
Interests
| Physics | |
| Complex Systems | |
| Computational Social Science | |
| Epidemics | |
| Agent Based Models | |
| Higher order networks |
Theaching
Projects
- 2018.01 - 2018.01
EPIDEMIOLOGY
The following are the scientific outputs describing the employment of both traditional and non-traditional data sources to inform statistical and computational models for analyzing the effect of human behavior and policy on epidemic spreading.
- Epidemics
- Survey
- COntact matrices
- 2018.01 - 2018.01
NETWORK SCIENCE
The following scientific outputs underline my interest in exploring the theoretical implications of network models on dynamical systems. Particularly, I focused on analyzing how epidemics evolve on temporal networks and how diffusion processes spread on hypergraphs. The following works reflect this effort.
- Hypergraph
- Temporal Networks
- 2018.01 - 2018.01
COMPUTATIONAL SOCIAL SCIENCE and DATA FOR SOCIAL GOOD
The following scientific outputs shows the involvement in using large database to infer behavior from social networks. The primary focus encompassed public health, and additionally food insecurity driven by conflicts.
- Big Data
- No-traditional data sources