Editors |
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vii | |
Contributors |
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ix | |
Introduction |
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xxiii | |
Section I: Understanding Big Data In Arts And Humanities |
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1 Literature Review on Big Data: What Do We Know So Far? |
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3 | (12) |
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4 | (1) |
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4 | (1) |
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4 | (1) |
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5 | (4) |
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5 | (1) |
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Application Possibilities |
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5 | (1) |
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Challenges Regarding Big Data |
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6 | (1) |
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7 | (1) |
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8 | (1) |
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8 | (1) |
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9 | (1) |
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9 | (1) |
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Final Remarks and Conclusion |
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10 | (1) |
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11 | (4) |
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2 Toward a Data-Driven World: Challenges and Opportunities in Arts and Humanities |
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15 | (12) |
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15 | (2) |
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17 | (2) |
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Riding the Big Data Wave in Arts and Humanities |
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19 | (5) |
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19 | (4) |
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23 | (1) |
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24 | (1) |
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25 | (2) |
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3 "Never Mind the Quality, Feel the Width": Big Data for Quality and Performance Evaluation in the Arts and Cultural Sector and the Case of "Culture Metrics" |
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27 | (14) |
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28 | (1) |
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29 | (2) |
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Using Culture Counts: The Case Study of Culture Metrics |
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31 | (5) |
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Evaluating the Promises of Culture Counts |
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36 | (2) |
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38 | (3) |
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4 Toward "Big Data" in Museum Provenance |
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41 | (10) |
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41 | (1) |
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42 | (1) |
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42 | (1) |
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43 | (1) |
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43 | (5) |
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45 | (1) |
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45 | (1) |
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46 | (1) |
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47 | (1) |
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Linked Data > Provenance Search |
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48 | (1) |
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48 | (1) |
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49 | (1) |
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50 | (1) |
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5 From Big Data to Thick Data: Theory and Practice |
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51 | (14) |
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51 | (2) |
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53 | (1) |
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Ethnography in a Data Context |
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54 | (1) |
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Creating the Ethnographic Narrative |
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55 | (1) |
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56 | (3) |
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59 | (1) |
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60 | (1) |
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61 | (4) |
Section II: Digital Humanities |
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6 Big Data and the Coming Historical Revolution: From Black Boxes to Models |
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65 | (12) |
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The Flood: From Close Reading to Black Boxes |
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66 | (3) |
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Working at Scale: Digital Collaborations in the Age of Big Data |
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69 | (1) |
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The Path Forward? How Models Can Bridge the Divide and Attempt to Resolve the Paradox |
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70 | (3) |
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73 | (1) |
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74 | (3) |
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7 Use of Big Data in Historical Research |
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77 | (12) |
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77 | (1) |
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British Library Labs Case Studies of the Use of Big Data in Historical Research |
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78 | (2) |
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Other Case Studies of the Use of Big Data in Historical Research |
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80 | (5) |
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85 | (1) |
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85 | (4) |
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8 The Study of Networked Content: Five Considerations for Digital Research in the Humanities |
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89 | (12) |
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89 | (1) |
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Furthering Content Analysis |
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90 | (8) |
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98 | (1) |
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99 | (2) |
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9 The English Gothic Novel: Theories and Praxis of Computer-Based Macroanalysis in Literary Studies |
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101 | (16) |
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101 | (2) |
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Starting the Experiment: Corpus Preparation |
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103 | (1) |
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Two Experiments in Genre Stylometry: MFW and TTR |
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104 | (4) |
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An Experiment in Narrative Patterns: Mining the Motifs |
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108 | (2) |
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Making Sense of Numbers: Interpreting the Gothic |
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110 | (2) |
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Conclusion: Some Epistemological Considerations |
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112 | (1) |
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113 | (4) |
Section III: Managing Big Data With And For Arts And Humanities |
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10 Toward a Data Culture in the Cultural and Creative Industries |
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117 | (12) |
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117 | (1) |
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Barriers Are Cultural Not Technical |
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118 | (1) |
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Aggregation and Collaboration |
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119 | (3) |
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122 | (2) |
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124 | (1) |
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Evidence versus Intuition |
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125 | (1) |
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126 | (1) |
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127 | (2) |
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11 Arts Council England: Using Big Data to Understand the Quality of Arts and Cultural Work |
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129 | (14) |
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130 | (1) |
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Why Artistic and Cultural Quality Is Difficult to Understand |
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130 | (1) |
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Arts Council&aposs Current Approach to Understanding Quality |
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131 | (1) |
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132 | (1) |
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133 | (1) |
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134 | (2) |
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136 | (1) |
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137 | (2) |
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139 | (1) |
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Enhancing Understanding of Quality and Driving Improvement |
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140 | (1) |
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141 | (1) |
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142 | (1) |
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12 Visualization of Scientific Image Data as Art Data |
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143 | (16) |
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Experiencing Internal Structures of Cells Using Microscopy from Different Imaging Technologies |
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146 | (4) |
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Versatile Imaging as a 3D Sketch |
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150 | (1) |
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Dermal Drug Delivery-How to Increase Bioavailability in Viable Skin |
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150 | (2) |
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Evolving Data Sets through Creative Visual Reconstruction |
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152 | (2) |
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Analysis, Reflection, and Feedback |
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154 | (2) |
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156 | (1) |
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157 | (1) |
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Educational Resource and Training References |
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158 | (1) |
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13 Museums, Archives, and Universities-Structuring Future Connections with Big Data |
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159 | (14) |
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160 | (1) |
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161 | (1) |
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New Efforts to Aggregate Collections Data |
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162 | (1) |
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Development of World War II-Era Provenance Research |
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162 | (2) |
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Identifying Key Challenges |
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164 | (1) |
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New Partnerships and Big Data |
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165 | (1) |
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The Enhanced "International Research Portal for Records Related to Nazi-Era Cultural Property" Project (IRP2): A Continuing Case Study |
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166 | (6) |
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Provenance and Technical Challenges |
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167 | (1) |
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167 | (2) |
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169 | (1) |
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Continued Development and Implementation |
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170 | (1) |
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171 | (1) |
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Conclusion and Next Steps |
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172 | (1) |
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172 | (1) |
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14 Mobile Technology to Contribute Operatively to the Safeguard of Cultural Heritage |
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173 | (16) |
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173 | (3) |
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176 | (2) |
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178 | (5) |
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183 | (1) |
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184 | (1) |
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185 | (4) |
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15 Artists, Data, and Agency in Smart Cities |
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189 | (16) |
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189 | (1) |
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Why Participation Is Key in a Smart City |
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190 | (2) |
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How KWMC Has Developed Work with Artists, Data, and People |
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192 | (4) |
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The Bristol Approach to Citizen Sensing |
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196 | (4) |
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200 | (2) |
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202 | (1) |
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203 | (2) |
Index |
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205 | |