ALL CITATIONS

• AI Naturalists Might Hold the Key to Unlocking Biodiversity Data in Social Media Imagery, Patterns 1(7),
  DOI: http://doi.org/10.1016/j.patter.2020.100116
  
  
• Interpreting insect declines: seven challenges and a way forward, Insect Conservation and Diversity 13(2),
  DOI: http://doi.org/10.1111/icad.12408
  
  
• Community science participants gain environmental awareness and contribute high quality data but improvements are needed: insights from Bumble Bee Watch, PeerJ
  DOI: http://doi.org/10.7717/peerj.9141
  
  
• Sustaining Citizen Science beyond an Emergency, Sustainability 12(11),
  DOI: http://doi.org/10.3390/su12114522
  
  
• How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools, Ecological Solutions and Evidence 1(2),
  DOI: http://doi.org/10.1002/2688-8319.12023
  
  
• Adopt a Pixel 3 km: A Multiscale Data Set Linking Remotely Sensed Land Cover Imagery With Field Based Citizen Science Observation, Frontiers in Climate
  DOI: http://doi.org/10.3389/fclim.2021.658063
  
  
• The Role of Citizen Science and Deep Learning in Camera Trapping, Sustainability 13(18),
  DOI: http://doi.org/10.3390/su131810287
  
  
• Citizen science in cities: an overview of projects focused on urban Australia, Urban Ecosystems
  DOI: http://doi.org/10.1007/s11252-021-01187-3
  
  
• The Partnership of Citizen Science and Machine Learning: Benefits, Risks, and Future Challenges for Engagement, Data Collection, and Data Quality, Sustainability 13(14),
  DOI: http://doi.org/10.3390/su13148087
  
  
• Listen But Do Not Touch: Using a Smartphone Acoustic Device to Investigate Bat Activity, with Implications for Community-Based Monitoring, Acta Chiropterologica 23(1),
  DOI: http://doi.org/10.3161/15081109ACC2021.23.1.021
  
  
• TeaTime4Schools: Using Data Mining Techniques to Model Litter Decomposition in Austrian Urban School Soils, Frontiers in Ecology and Evolution
  DOI: http://doi.org/10.3389/fevo.2021.703794
  
  
• Knowledge Management for Sustainable Development in the Era of Continuously Accelerating Technological Revolutions: A Framework and Models, Sustainability 13(6),
  DOI: http://doi.org/10.3390/su13063353
  
  
• Ethical ecosurveillance: Mitigating the potential impacts on humans of widespread environmental monitoring, People and Nature
  DOI: http://doi.org/10.1002/pan3.10327
  
  
• Applications of technology in the assessment and treatment of cannabis use disorder, Frontiers in Psychiatry
  DOI: http://doi.org/10.3389/fpsyt.2022.1035345
  
  
• Guidelines for Research Ethics and Research Integrity in Citizen Science, Research Ideas and Outcomes
  DOI: http://doi.org/10.3897/rio.8.e97122
  
  
• Narratives of epistemic agency in citizen science classification projects: ideals of science and roles of citizens, AI & SOCIETY
  DOI: http://doi.org/10.1007/s00146-022-01428-9
  
  
• Crowds, citizens, and science: a multi-dimensional framework and agenda for future research, Industry and Innovation 29(2),
  DOI: http://doi.org/10.1080/13662716.2021.1976627
  
  
• Automatic Fungi Recognition: Deep Learning Meets Mycology, Sensors 22(2),
  DOI: http://doi.org/10.3390/s22020633
  
  
• Artificial Intelligence and Robotics Led Technological Tremors: A Seismic Shift towards Digitizing the Legal Ecosystem, Applied Sciences 12(22),
  DOI: http://doi.org/10.3390/app122211687
  
  
• Maximizing citizen scientists’ contribution to automated species recognition, Scientific Reports 12(1),
  DOI: http://doi.org/10.1038/s41598-022-11257-x
  
  
• Recognizability bias in citizen science photographs, Royal Society Open Science 10(2),
  DOI: http://doi.org/10.1098/rsos.221063