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Call for Papers
SoGood 2024 – 9th Workshop on Data Science for Social Good
Affiliated with ECML-PKDD 2024, 9-13 September, Vilnius, Lithuania, ecmlpkdd.org/2024/
Workshop site: sites.google.com/view/sogood-2024/home
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The possibilities of Data Science for contributing to the 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 the 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 – 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
We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly “non-profit” but have Social Good as their main focus.
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Important Dates: There will be an award for the best paper.
– Submission deadline: 15 June 2024 – Acceptance notification: 15 July 2024 – Camera-ready deadline: 1 September 2024
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Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2024 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions.
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Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.
Call for Papers
SoGood 2024 – 9th Workshop on Data Science for Social Good
Affiliated with ECML-PKDD 2024, 9-13 September, Vilnius, Lithuania, ecmlpkdd.org/2024/
Workshop site: sites.google.com/view/sogood-2024/home
=================
The possibilities of Data Science for contributing to the 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 the 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 – 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
We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects that may not be strictly “non-profit” but have Social Good as their main focus.
=================
Important Dates: There will be an award for the best paper.
– Submission deadline: 15 June 2024 – Acceptance notification: 15 July 2024 – Camera-ready deadline: 1 September 2024
=================
Paper submission: Authors should submit a PDF version in Springer LNCS style using Microsoft CMT ECMLPKDD Workshops 2024 The maximum length of papers is 16 pages, consistent with the ECML PKDD conference submissions.
=================
Paper publication: Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.
Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt
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