Computational social choice is a research area at the intersection of social choice (the science of collective decision-making) and computer science, which focuses on the algorithmic analysis of problems related topreference aggregation and elicitation(Brandt etal.,2013).

A prime example is single-cell RNA sequencing (scRNA-seq) data (Figure 1).

Petitions demanding people get the chance to be released from ICE custody have overwhelmed courts throughout the US. The Immigration and Customs Enforcement (ICE) operation in Minnesota is pushing the United States court system to its breaking point. Since Operation Metro Surge began in December, federal immigration agents have arrested some 4,000 people, according to the Department of Homeland Security (DHS). The result is an avalanche of cases filed in the US district court in Minnesota on behalf of people challenging their imprisonment by federal immigration enforcement agents. According to WIRED's review of court records and official judicial statistics, attorneys filed nearly as many so-called habeas corpus petitions in Minnesota alone as were filed across the US during an entire year.

Many zeroth-order (ZO) optimization algorithms have been developed to solve nonconvex minimax problems in machine learning and computer vision areas.

Learning concepts from natural high-dimensional data (e.g., images) holds potential