Among the activities of this group, we will have a weekly reading group to study the currently ongoing research which falls under the umbrella of "data science for social good". We start by concentrating on two main sub-topics in this field: "fairness in machine learning" and "reducing bias or polarity in networks" with the hope to expand our activities and scope in near future.