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*-- Apologies for cross-posting --*

Dear colleagues,

Please consider submitting a contribution to the "Complex Systems for the
Most Vulnerable - 2nd Edition" satellite workshop (
https://urldefense.proofpoint.com/v2/url?u=https-3A__cs4v19.weebly.com_&d=DwIBaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=gxAmIMD6Sl-je9rlAXi-3egrlf2SGr8WpdZLvl3fkIk&s=ToVzv3CWEvTeOb7zV4PoVn1AAaw1qxYXwoLB-tkSC4w&e=  ), that will take place at CCS2019 in Singapore
on October 3rd, 2019.

Data and data science are becoming more and more crucial to meeting the
societal challenges that climate change, ever increasing inequalities,
geopolitical upheaval etc are creating. The need for a new scientific
approach to social innovation, international development and humanitarian
aid has never been clearer. In this context, the role that Complex Systems
can play is central and crucial. On one hand, they can provide a robust
theoretical framework to address issues such as replicability and
transferability of work with a focus on vulnerable contexts, as well as
explainability of models and challenges of data biases. On the other hand,
the applied nature of several branches of Complex Systems can help in
identifying the ideal areas of applications (e.g. epidemics) that can
result in the highest scientific impact. This Workshop has the goal of
reviewing the potential effective contributions that Complex Systems can
have on creating public value and producing public policy practices that
can be applied in vulnerable contexts. It aims both at showcasing the most
relevant work produced by the Complex Systems community in this area, and
at focusing the attention of this scientific community on the pressing
issues that affect the most vulnerable populations.

Topics of interest will be (but are not limited to):
- Replicability and transferability of models in vulnerable and data-poor
contexts
- Data representativeness and bias and algorithmic privacy, transparency
and fairness in the context of social good applications
- Models interpretability in support of better decision making
- Complex systems applied to impact measurement of social good programs
- Emergence and dynamics of vulnerability and inequalities (e.g. tipping
points for poverty; scaling dynamics; second order effects...)

Areas of applications can be (but are not limited to):
- Gender bias and data gaps
- Health in developing countries
- Migrations and xenophobia
- Education
- Unemployment
- Inequalities and poverty reduction
- Environment and sustainability

This year's invited speakers will be:
- Prof. Samuel V. Scarpino (Network Science Institute at Northeastern
University | ISI Foundation Fellow | Chief Strategy Officer at Dharma
Platform)
- Prof. Claudia Wagner (Interim Director of Computational Social Science
Department, GESIS - Leibniz Institute for Social Sciences | W1 Professor
for Data Science at University Koblenz-Landau)
- Prof. Saini Yang (Beijing Normal University | Director, International
Center for Collaborative Research on Disaster Risk Reduction)

Please submit your abstract via the EasyChair website:
*https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dcs4v&d=DwIBaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=gxAmIMD6Sl-je9rlAXi-3egrlf2SGr8WpdZLvl3fkIk&s=n9O1MIdaM9YO2q73mv0N7sxkvpVX3k04fOF8PHdQ1DA&e= 
<https://urldefense.proofpoint.com/v2/url?u=https-3A__easychair.org_conferences_-3Fconf-3Dcs4v&d=DwIBaQ&c=sJ6xIWYx-zLMB3EPkvcnVg&r=yQQsvTNAnbvDXGM4nDrXAje4pr0qHX2qIOcCQtJ5k3w&m=gxAmIMD6Sl-je9rlAXi-3egrlf2SGr8WpdZLvl3fkIk&s=n9O1MIdaM9YO2q73mv0N7sxkvpVX3k04fOF8PHdQ1DA&e= >* .
Submissions should be at most two pages long and include the following
information: title of the talk, author(s), affiliation(s), e-mail
address(es), abstract and one or two figures. *Abstract submission deadline
is June 30th, 2019*.
Authors of accepted abstracts will be notified by e-mail no later than July
10th 2019.

Best regards,
CS4V19 Organizing Committee

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