Students

UNITA Student Impact Dashboard

ℹ️ Track performance indicators from the UNITA Metadata Repository that directly affect student mobility, digital tools, and academic programs.

Potential Impacts on Stakeholders

Students

Enhanced employability across borders
Multilingual competences
Active European citizenship
Well-being and sense of belonging
Environmental awareness and sustainability competences

💡 Students as UNITA Beneficiaries

In the UNITA Alliance, students are not just learners but active European citizens and the primary architects of a new, integrated inter-university campus. Comprising a vibrant community of over 250,000 students across 12 institutions, UNITA offers a transformative academic journey under the slogan 'Climb Your Future.' As a beneficiary, you gain access to a seamless European ecosystem where borders are replaced by opportunities. This includes innovative Rural Erasmus internships that connect you with the heart of mountain territories, Virtual and Blended Mobility programs for flexible international learning, and the development of Micro-credentials in Romance language intercomprehension. Through the UNITA Student Assembly, students hold a direct seat at the governance table, influencing the alliance's strategy and co-creating a sustainable, multilingual, and digitally-connected future for European higher education.

⭐️ Mobility Numbers

Total

Mobilities per University

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STT-staff mobility for training','UNITA Week meeting','Work Package meeting','BIP-student mobility for studies','STA-staff mobility for teaching','URM-Rural Mobility','UVM-Virtual Mobility']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [0, 0, 3, 0, 0, 1, 0, 0, 0, 0, 0] },
       { data: [0, 4, 0, 3, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 4, 6, 0, 0, 0, 0, 34, 0, 2, 7] },
       { data: [0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 7] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2] },
       { data: [0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023/2024', '2024/2025', '2025/2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STA-staff mobility for teaching','STT-staff mobility for training','UNITA Week meeting','URM-Rural Mobility','UVM-Virtual Mobility','Work Package meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly Member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [29, 0, 0, 4, 0, 0, 0, 0, 3, 6, 0] },
       { data: [20, 0, 0, 0, 0, 0, 0, 0, 4, 5, 0] },
       { data: [8, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [4, 0, 0, 14, 0, 0, 0, 0, 4, 3, 0] },
       { data: [12, 0, 0, 0, 0, 0, 0, 0, 1, 8, 0] },
       { data: [5, 0, 2, 0, 0, 0, 0, 0, 1, 5, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023/2024', '2024/2025', '2025/2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STA-staff mobility for teaching','STT-staff mobility for training','UNITA Week meeting','URM-Rural Mobility','UVM-Virtual Mobility','Work Package meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly Member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [29, 0, 0, 4, 0, 0, 0, 0, 3, 6, 0] },
       { data: [20, 0, 0, 0, 0, 0, 0, 0, 4, 5, 0] },
       { data: [8, 0, 0, 0, 1, 0, 0, 0, 1, 2, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [4, 0, 0, 14, 0, 0, 0, 0, 4, 3, 0] },
       { data: [12, 0, 0, 0, 0, 0, 0, 0, 1, 8, 0] },
       { data: [5, 0, 2, 0, 0, 0, 0, 0, 1, 5, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025', '2025-2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','STA-staff mobility for teaching','STT-staff mobility for training','UNITA Week meeting','URM-Rural Mobility','Work Package meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [0, 0, 0, 0, 0, 0, 1, 0, 0] },
       { data: [2, 0, 0, 3, 0, 0, 3, 1, 0] },
       { data: [5, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [10, 0, 4, 2, 0, 0, 0, 0, 0] },
       { data: [17, 0, 3, 7, 0, 0, 0, 2, 0] },
       { data: [0, 1, 1, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 2, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025', '2025-2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STA-staff mobility for teaching','STT-staff mobility for training','UNITA Week meeting','URM-Rural Mobility','WP Staff Week/Meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [24, 0, 0, 0, 0, 0, 0, 0, 1, 0] },
       { data: [3, 0, 0, 0, 0, 0, 0, 0, 1, 0] },
       { data: [4, 0, 2, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [30, 0, 0, 7, 0, 0, 0, 0, 0, 0] },
       { data: [16, 0, 0, 0, 0, 0, 0, 0, 1, 0] },
       { data: [10, 0, 0, 2, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 2, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 0, 0, 5, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [2, 0, 0, 0, 1, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: {
     axisType: 'category',
     data: ['2023/2024', '2024/2025', '2025/2026'],
     autoPlay: false
   },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '15%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff'],
   xAxis: { type: 'category', name: 'Type of Mobility', axisLabel: { rotate: 30, interval: 0 } },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     xAxis: { data: ['BIP-student mobility for studies', 'SMS-student mobility for studies', 'SMT-student mobility for traineeship', 'STA-staff mobility for teaching', 'UNITA Week meeting', 'URM-Rural Mobility', 'UVM-Virtual Mobility', 'Work Package meeting'] },
     series: [
       { data: [12, 20, 0, 0, 0, 12, 6, 0] },
       { data: [33, 22, 1, 0, 3, 25, 15, 0] },
       { data: [8, 1, 1, 0, 1, 0, 0, 1] }
     ]
   },
   {
     xAxis: { data: ['BIP-student mobility for studies', 'Matching Event (Research, Education etc)', 'SMS-student mobility for studies', 'SMT-student mobility for traineeship', 'STA-staff mobility for teaching', 'STT-staff mobility for training', 'UNITA Week meeting', 'URM-Rural Mobility', 'UVM-Virtual Mobility', 'Work Package meeting'] },
     series: [
       { data: [44, 0, 56, 0, 0, 0, 0, 9, 13, 0] },
       { data: [75, 0, 48, 3, 0, 0, 0, 30, 17, 0] },
       { data: [4, 1, 2, 1, 0, 0, 0, 0, 2, 0] }
     ]
   },
   {
     xAxis: { data: ['Work Package meeting'] },
     series: [
       { data: [0] },
       { data: [0] },
       { data: [1] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025', '2025-2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '0%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STA-staff mobility for teaching','STT-staff mobility for training','student mobility for studies','UNITA Week meeting','URM-Rural Mobility','UVM-Virtual Mobility','WP Staff Week/Meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [29, 0, 0, 90, 1, 0, 0, 1, 4, 5, 8, 0] },
       { data: [8, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [2, 0, 0, 0, 14, 0, 0, 0, 0, 1, 2, 0] }
     ]
   },
   {
     series: [
       { data: [52, 0, 0, 125, 0, 0, 0, 0, 2, 11, 6, 0] },
       { data: [9, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0] },
       { data: [6, 0, 0, 0, 16, 0, 0, 0, 0, 0, 6, 0] }
     ]
   },
   {
     series: [
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023/2024', '2024/2025', '2025/2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '25%', containLabel: true },
   color: ['#004488', '#33aacc'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['Matching Event (Research, Education etc)','SMS-student mobility for studies','STA-staff mobility for teaching','STT-staff mobility for training','UVM-Virtual Mobility','Work Package meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [0, 39, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 43, 0, 0, 1, 0] },
       { data: [0, 0, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [0, 73, 0, 0, 0, 0] },
       { data: [0, 1, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '0%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','URM-Rural Mobility']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [52, 20, 17, 0, 0] },
       { data: [13, 7, 17, 2, 1] },
       { data: [1, 0, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [40, 0, 11, 0, 1] },
       { data: [20, 0, 13, 1, 0] },
       { data: [5, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STA-staff mobility for teaching','STT-staff mobility for training','UNITA Week meeting','URM-Rural Mobility','UVM-Virtual Mobility','Work Package meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly Member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [7, 0, 0, 39, 1, 0, 0, 0, 0, 44, 0] },
       { data: [7, 0, 0, 50, 3, 0, 0, 0, 4, 23, 0] },
       { data: [1, 0, 1, 1, 0, 0, 0, 0, 0, 3, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [42, 0, 1, 60, 1, 0, 0, 0, 0, 51, 0] },
       { data: [21, 0, 0, 50, 1, 0, 0, 0, 3, 4, 0] },
       { data: [3, 0, 0, 0, 1, 0, 1, 0, 0, 2, 0] },
       { data: [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

option = {

 baseOption: {
   timeline: { axisType: 'category', data: ['2023-2024', '2024-2025', '2025-2026'], autoPlay: false },
   tooltip: { trigger: 'axis', axisPointer: { type: 'shadow' } },
   legend: { top: '5%' },
   grid: { top: '20%', left: '10%', right: '15%', bottom: '5%', containLabel: true },
   color: ['#004488', '#33aacc', '#99ddff', '#117733'],
   xAxis: {
     type: 'category',
     name: 'Type of Mobility',
     axisLabel: { rotate: 35, interval: 0 },
     data: ['BIP-student mobility for studies','Matching Event (Research, Education etc)','other- staff week, workshop, conference, training, internship, research','SMS-student mobility for studies','SMT-student mobility for traineeship','STA-staff mobility for teaching','STT-staff mobility for training','UNITA Week meeting','URM-Rural Mobility','UVM-Virtual Mobility','Work Package meeting']
   },
   yAxis: { type: 'value', name: 'Participants' },
   series: [
     { name: 'Student bachelor', type: 'bar', stack: 'total' },
     { name: 'Student master', type: 'bar', stack: 'total' },
     { name: 'Student doctorate', type: 'bar', stack: 'total' },
     { name: 'Student Assembly member', type: 'bar', stack: 'total' }
   ]
 },
 options: [
   {
     series: [
       { data: [56, 0, 1, 10, 0, 0, 0, 0, 1, 0, 0] },
       { data: [22, 0, 0, 0, 0, 0, 0, 0, 4, 1, 0] },
       { data: [4, 0, 1, 0, 13, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [75, 0, 2, 15, 0, 0, 0, 0, 0, 5, 0] },
       { data: [45, 0, 7, 8, 0, 0, 0, 0, 1, 2, 0] },
       { data: [19, 0, 4, 0, 10, 0, 1, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0] }
     ]
   },
   {
     series: [
       { data: [15, 0, 5, 13, 0, 0, 0, 0, 0, 0, 0] },
       { data: [7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] },
       { data: [1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0] },
       { data: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }
     ]
   }
 ]

}

Mobilities with Geminae Partners