Objectives:　Geospatial　data　and　computing　plays　an　important　role　in　the　era　of　big　data　and　artificial　intelligence(AI),　and　provides　a　dimension　of　social　studies　in　term　of　ontological,　methodological,　and　epistemologs　aspects.　Methods:　This　interview　invited　some　influential　scholars　from　the　fields　of　sociology,　geoHinformatics,　computing　science　and　expressed　their　views　on　how　spatial　and　geoHcomputing　can　be　intergrated　in　computational　social　science.　Results:　Geospatial　studies　and　social　science　share　a　very　basic　research　objective　which　focuses　on　heterogeneity,　and　spatial　big　data　provides　an　unprecedented　paradigm　for　social　studies.　Also,　challenges　were　raised　on　building　a　therotical　framework,　data　availiablity,　computing　issues,　and　related　concerns　on　ethics.　Conclusions:　To　solve　the　challenges,　it　requires　the　closer　collaboration　among　social　science,　geoHscience,　and　computer　science.　We　wish　this　discussion　could　inspire　the　related　studies　and　provide　a　blueprint　for　both　geospatial　and　social　computing.　©　2022,　Editorial　Board　of　Geomatics　and　Information　Science　of　Wuhan　University.　All　right　reserved.