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CFP: SoGood 2023 - ECML-PKDD Workshop on Data Science for Social Good
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Carlos Ferreira
Jun 10, 2023, 7:32:58 AM6/10/23
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Call for Papers
SoGood 2023 – 8th Workshop on Data Science for Social Good
Affiliated with ECML-PKDD 2023, 18-22 September, Torino, Italy, https://2023.ecmlpkdd.org/
Workshop site: https://sites.google.com/view/sogood2023/home
The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application.
This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes:
• Government transparency and IT against corruption
• Fight against environmental crime
• Public safety and disaster relief
• Access to food, water, sanitation and utilities
• Efficiency and sustainability
• Climate change
• Data journalism
• Social and personal development
• Economic growth and improved infrastructure
• Transportation
• Energy
• Smart city services
• Education
• Social services, unemployment and homeless
• Healthcare and well-being
• Support for people living with disabilities
• Responsible consumption and production
• Gender equality, discrimination against minorities
• Ethical issues, fairness, and accountability.
• Trustability and interpretability
• Topics aligned with the UN development goals:
http://www.un.org/sustainabledevelopment/sustainable-development-goals/
The maximum length of papers in 16 pages, including references, consistent with the ECML PKDD conference submissions.
Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. We will follow ECML PKDD’s policy for attendance.
Paper publication:
Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.
Important Dates:
• Workshop paper submission deadline: June 24, 2023
• Workshop paper acceptance notification: July 12, 2023
• Workshop paper camera-ready deadline: July 24, 2023
• Workshop: September 22, 09h-12.30, 2023 (TBC)
Call for Papers
SoGood 2023 – 8th Workshop on Data Science for Social Good
Affiliated with ECML-PKDD 2023, 18-22 September, Torino, Italy, https://2023.ecmlpkdd.org/
Workshop site: https://sites.google.com/view/sogood2023/home
The possibilities of Data Science for contributing to social, common, or public good are often not sufficiently perceived by the public at large. Data Science applications are already helping in serving people at the bottom of the economic pyramid, aiding people with special needs, helping international cooperation, and dealing with environmental problems, disasters, and climate change. In regular conferences and journals, papers on these topics are often scattered among sessions with names that hide their common nature (such as "Social networks", "Predictive models" or the catch-all term "Applications"). Additionally, such forums tend to have a strong bias for papers that are novel in the strictly technical sense (new algorithms, new kinds of data analysis, new technologies) rather than novel in terms of social impact of the application.
This workshop aims to attract papers presenting applications of Data Science for Social Good (which may, or may not require new methods), or applications that take into account social aspects of Data Science methods and techniques. There are numerous application domains, a non-exclusive list includes:
• Government transparency and IT against corruption
• Fight against environmental crime
• Public safety and disaster relief
• Access to food, water, sanitation and utilities
• Efficiency and sustainability
• Climate change
• Data journalism
• Social and personal development
• Economic growth and improved infrastructure
• Transportation
• Energy
• Smart city services
• Education
• Social services, unemployment and homeless
• Healthcare and well-being
• Support for people living with disabilities
• Responsible consumption and production
• Gender equality, discrimination against minorities
• Ethical issues, fairness, and accountability.
• Trustability and interpretability
• Topics aligned with the UN development goals:
http://www.un.org/sustainabledevelopment/sustainable-development-goals/
The maximum length of papers in 16 pages, including references, consistent with the ECML PKDD conference submissions.
Submitting a paper to the workshop means that if the paper is accepted, at least one author will attend the workshop and present the paper. Papers not presented at the workshop will not be included in the proceedings. We will follow ECML PKDD’s policy for attendance.
Paper publication:
Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.
Important Dates:
• Workshop paper submission deadline: June 24, 2023
• Workshop paper acceptance notification: July 12, 2023
• Workshop paper camera-ready deadline: July 24, 2023
• Workshop: September 22, 09h-12.30, 2023 (TBC)
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