CALL FOR PAPERS
Topical Issue in Advances in Complex Systems on "Complex Systems for Social Good" Submission Deadline (extended): 15 December 2023 Guest Editors: Elisa Omodei (CEU), Daniela Paolotti (ISI), Vedran Sekara (ITU), Manuel Garcia-Herranz (UNICEF) https://worldscientific.com/page/acs/callforpapers01 |
20 October 2023
I was honoured with the Service Award of the Complex Systems Society, together with Guido Caldarelli, for our contributions to the CSS society. Read more here. |
Spotlight on CIVICA Women in Research: Elisa Omodei
An interview with CIVICA – The European University of Social Sciences, which unites ten leading European higher education institutions in the social sciences, humanities, business management and public policy. |
On July 18th, 2023, I joined a Panel Debate on Using Computational Social Science for the Sustainable Development Goals, which took place at the 9th International Conference on Computational Social Science (IC2S2) in Copenhagen, Denmark.
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This year, I served as Program Chair, together with Ginestra Bianconi and David Garcia, for the International School and Conference on Network Science (NetSci), the flagship conference of the Network Science Society.
The conference took place in Vienna, Austria, on July 10-14, 2023, co-organized by the Central European University and the Complexity Science Hub Vienna, and brought together more than 800 participants. |
16 March 2023
New paper out in Scientific Reports: "On the forecastability of food insecurity" https://www.nature.com/articles/s41598-023-29700-y Media coverage: |
15 Sept 2022
New paper out in Nature Food: "Machine learning can guide food security efforts when primary data are not available" https://www.nature.com/articles/s43016-022-00587-8 Media coverage: |
CALL FOR PAPERS
Frontiers in Big Data, Data Analytics for Social Impact Research Topic on "Are Machine Learning, AI, and Big Data Tools Ready to be Used for Sustainable Development? Challenges, and limitations of current approaches" Submission Deadline: 26 September 2022 [EXTENDED] Topic Editors: Vedran Sekara (ITU), Elisa Omodei (CEU), Dohyung Kim (UNICEF), Manuel Garcia-Herranz (UNICEF) https://www.frontiersin.org/research-topics/32235/are-machine-learning-ai-and-big-data-tools-ready-to-be-used-for-sustainable-development-challenges-a |
25-29 July 2022
I participated in the Workshop on Quantitative Human Ecology that took place at ICTP on July 25-29, 2022. You can watch my presentation here. During the week, I was also a panelist at a public event in Italian on "Ecologie umane: la scienza, i dati e il futuro delle nostre società" (Human ecology: science, data and the future of our society). The event was organized as part of the workshop by Fondazione Internazionale Trieste, ICTP, SISSA and the Santa Fe Institute, with the support of the U.S. Mission in Italy. |
27 July 2022
I was interviewed by the newspaper Il Piccolo. You can access the article (in Italian) here. |
Conference on Complex Systems CCS2022 Satellite Meeting
The 5th Edition of the CCS satellite Complex Systems for the Most Vulnerable is coming to Palma de Mallorca in October 2022 https://cs4v22.weebly.com/ Abstract submission deadline is July 10th |
Science Talk at the Long Nigh of Research 2022
How can we use data science for social good? In this expert talk, Marton Karsai and Elisa Omodei will explain how digital data like satellite images, online social services, or mobility maps can be used to infer the socioeconomic status of people and places. You will also learn about examples of what these data can tell us about segregation patterns in social networks and mobility, and how it helps us to better understand the consequences of inequalities on the most vulnerable. 20 May 2022, 9:45 p.m., CEU, Quellenstrasse 51, 1100 Vienna https://langenachtderforschung.at/station/3077 |
New Perspective Article out in Journal of Physics: Complexity
Complex systems for the most vulnerable with M. Garcia-Herranz, D. Paolotti and M. Tizzoni https://iopscience.iop.org/article/10.1088/2632-072X/ac60b1/meta Abstract. In a rapidly changing world, facing an increasing number of socioeconomic, health and environmental crises, complexity science can help us to assess and quantify vulnerabilities, and to monitor and achieve the UN sustainable development goals. In this perspective, we provide three exemplary use cases where complexity science has shown its potential: poverty and socioeconomic inequalities, collective action for representative democracy, and computational epidemic modeling. We then review the challenges and limitations related to data, methods, capacity building, and, as a result, research operationalization. We finally conclude with some suggestions for future directions, urging the complex systems community to engage in applied and methodological research addressing the needs of the most vulnerable. |