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

· 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 major selection criteria will be the quality of the work, the novelty of the application, and its social impact.



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 organizations, 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, which may not be strictly "non-profit" but have Social Good as their main focus.



There will be an award for the best paper.



Paper submission:

Authors should submit a PDF version in Springer LNCS style using the workshop EasyChair site: https://easychair.org/my/conference?conf=sogood2022. 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.





Workshop format:

· Half-day workshop

· 1-2 keynote talks, speakers to be announced

· Oral presentation of accepted papers



Important Dates:

· Workshop paper submission deadline: June 20, 2022

· Workshop paper acceptance notification: July 13, 2022

· Workshop paper camera-ready deadline: July 27, 2022

· Workshop: September 23, 09h-12.30, 2022 (TBC)



Program Committee members (more to be added):

· Thiago Andrade, INESC TEC, Portugal

· Andre de Carvalho, University of São Paulo, Brazil

· Calros Ferreira, INESC TEC and IPP, Portugal

· Elaine Faria, University of Uberlandia, Brasil

· Cèsar Ferri, Technical University of Valencia, Spain

· Konstantin Kutzkov, Amalfi Analytics, Spain

· Ana Lorena, Technological Institute of Aeronautics, Brazil

· Rita Nogueira, INESC TEC, Porto, Portugal

· Maria Pedroto, INESC TEC, Porto, Portugal

· Sonia Teixeira, INESC TEC, Porto, Portugal

· Emma Tonkin, University of Bristol, UK

· Alicia Troncoso, University Pablo de Olavide, Spain

· Kristina Yordanova, University of Rostock, Germany

· Martí Zamora, UPC BarcelonaTech, Spain





Organizers:



· Ricard Gavaldà (UPC BarcelonaTech, Spain), gavalda@cs.upc.edu

· Irena Koprinska (University of Sydney, Australia), irena.koprinska@sydney.edu.au

· João Gama (University of Porto, Portugal), jgama@fep.up.pt

· Rita Ribeiro (University of Porto, Portugal), rpribeiro@fc.up.pt