The Sixth Workshop on Data Science for Social Good, SoGood 2021, held in conjunction with ECML PKDD 2021, in September 2021.   

The workshop intends to attract papers on how Data Science can and does contribute to social good in its widest sense. 

Topics of interest include:

• Government transparency and IT against corruption

• Public safety and disaster relief

• Public policies in epidemic growth and related issues 

• Access to food, water, and utilities

• Efficiency and sustainability

• Data journalism

• Economic, social and personal development

• Transportation

• Energy

• Smart city services

• Education

• Social services, unemployment and homelessness

• Healthcare

• Ethical issues, fairness and accountability

• Trustability and interpretability

• Topics aligned with the UN development goals 

The major selection criteria will be the novelty of the application and its social impact. Position papers are welcome too.

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

Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.

Important Dates:

• Workshop paper/project submission deadline: June 23rd, 2021  July 5th, 2021

• Workshop paper/project acceptance notification: July 23rd, 2021

• Workshop paper camera-ready deadline: July 31st, 2021

• Workshop held in conjunction with ECML PKDD 2021, September 13th, 2021 (online)