DWMV22: 3rd Workshop on Data for the Wellbeing of Most Vulnerable ICWSM Online And Georgia, GA, United States, June 6, 2022 |
Conference website | https://sites.google.com/view/dataforvulnerable22/wellbeing-of-vulnerable |
Submission link | https://easychair.org/conferences/?conf=dwmv22 |
Submission deadline | April 10, 2022 |
The scale, reach, and real-time nature of the Internet is opening new frontiers for understanding the vulnerabilities in our societies, including inequalities and fragility in the face of a changing world. From tracking seasonal illnesses like the flu across countries and populations, to understanding the context of mental conditions such as anorexia and bulimia, web data has the potential to capture the struggles and wellbeing of diverse groups of people. Further, the very absence of these populations in data can reveal areas of concern, indicating potential lack of access to vital technologies, and potentially being overlooked by algorithms trained on such data. The recent developments around COVID-19 epidemic makes these issues even more urgent, with an unequal share of both disease and economic burden among various populations.
The aim of DWMV22 is to encourage the community to use new sources of data to study the wellbeing of vulnerable populations including children, elderly, racial or ethnic minorities, socioeconomically disadvantaged, underinsured or those with certain medical conditions. The selection of appropriate data sources, identification of vulnerable groups, and ethical considerations in the subsequent analysis are of great importance in the extension of the benefits of big data revolution to these populations. As such, the topic is highly multidisciplinary, bringing together researchers and practitioners in computer science, epidemiology, demography, linguistics, and many others.
Topics of Interest
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Establishing cohorts, data de-biasing
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Validation via individual-level or aggregate-level data
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Linking data to disease and other well-being
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Population data sources for validation
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Correlation analysis and other statistical methods
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Longitudinal analysis on social media
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Spatial, linguistic, and temporal analyses
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Privacy, ethics, and informed consent
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Data quality issues
Submission Guidelines
We invite submissions of technical papers and abstract proposals.
- Technical papers should be up to 4 pages (short papers) or up to 8 pages (long papers). Technical papers must contain novel, previously-unpublished material related to the topics of the workshop. Accepted papers will be presented orally and will appear in the workshop proceedings.
- Abstract proposals must be up to 2 pages presenting an ongoing study, or a topic of discussion related to the workshop's topics of interest.
Papers must adhere to the ICWSM guidelines and be submitted through Easychair.
Publication
Long and Short papers will be published in ICWSM Workshop proceedings by the AAAI Press. Please follow the AAAI format.
Abstract proposals will not be published.
Invited Speakers
Elaine O. Nsoesie is an Assistant professor at Boston University. Dr. Nsoesie applies data science methodologies to global health problems, using digital data and technology to improve health, particularly in the realm of surveillance of chronic and infectious diseases. She has also been appointed as a BU Data Science Faculty Fellow, as part of the BU Data Science Initiative at the Hariri Institute for Computing. Her latest works span bias in medical data, use of technology in addressing COVID-19 in Africa, and modeling misinformation spread.
Karrie Karahalios is a Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign where she runs the Social Spaces Group. Her research focuses on the interaction between people and the social cues they perceive in networked electronic spaces. Her latest works focus on bias and discrimination in online systems.
Enrique Delamónica is a Senior Statistics Specialist (Child Poverty and Gender Equality) / Division of Data, Research and Policy at UNICEF. He is an economist and political scientist and has previously worked as Chief of Social Policy and Gender Equality, UNICEF, Nigeria. His books include "Eliminating Human Poverty - Macroeconomic & Social Policies for Equitable Growth".
Committees
Program Committee
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Oscar Araque, Universidad Politecnica de Madrid, Spain
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Mariano Beiró, Universidad de Buenos Aires, Argentina
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Aleksandr Farseev, National University of Singapore, Singapore
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Daniela Perrotta, Planck Institute for Demographic Research, Germany
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Vjosa Preniqi, Queen Mary University London, UK
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Anna Sapienza, Technical University of Denmark, Denmark
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Emilio Zagheni, Max Planck Institute for Demographic Research, Germany
Organizing committee
- Kyriaki Kalimeri, ISI Foundation
- Yelena Mejova, ISI Foundation
- Daniela Paolotti, ISI Foundation
- Rumi Chunara, New York University
Contact
All questions about submissions should be emailed to Kyriaki Kalimeri kyriaki.kalimeri@isi.it and Yelena Mejova yelena.mejova@isi.it