The role of citizen science mobile apps in facilitating a contemporary digital agora
Adhane G, Dehshibi MM, Masip D (2021) A deep convolutional neural network for classification of aedes albopictus mosquitoes. IEEE Access 9:72681–72690. https://doi.org/10.1109/ACCESS.2021.3079700
Afaneh H, Fernes PK, Lewis EC, King AC, Banchoff A, Sheats JL (2022) Our voice NOLA: leveraging a community engaged citizen science method to contextualize the new orleans food environment. Int J Environ Res Public Health 19(22):22. https://doi.org/10.3390/ijerph192214790
Alattar MA, Cottrill C, Beecroft M (2022) Exploring informants’ perspectives on the role of crowdsourced active travel data. Transp Plann Technol 45(3):226–250. https://doi.org/10.1080/03081060.2022.2092736
Allen RM, Kong Q, Martin-Short R (2020) The MyShake platform: a global vision for earthquake early warning. Pure Appl Geophys 177(4):1699–1712. https://doi.org/10.1007/s00024-019-02337-7
Altrudi S (2021) Connecting to nature through tech? The case of the iNaturalist app. Convergence 27(1):124–141. https://doi.org/10.1177/1354856520933064
Amos HM, Starke MJ, Rogerson TM, Colón Robles M, Andersen T, Boger R, Campbell BA, Low RD, Nelson P, Overoye D, Taylor JE, Weaver KL, Ferrell TM, Kohl H, Schwerin TG (2020) GLOBE observer data: 2016–2019. Earth Space Sci. 7(8):e2020EA001175. https://doi.org/10.1029/2020EA001175
Andrachuk M, Marschke M, Hings C, Armitage D (2019) Smartphone technologies supporting community-based environmental monitoring and implementation: a systematic scoping review. Biol Conserv 237:430–442. https://doi.org/10.1016/j.biocon.2019.07.026
Annis A, Nardi F (2019) Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping. Geo Spatial Inform Sci 22(4):223–236. https://doi.org/10.1080/10095020.2019.1626135
Anshori RM, Samodra G, Mardiatno D, Sartohadi J (2022) Volunteered geographic information mobile application for participatory landslide inventory mapping. Comput Geosci 161:105073. https://doi.org/10.1016/j.cageo.2022.105073
Arienzo MM, Collins M, Jennings KS (2021) Enhancing engagement of citizen scientists to monitor precipitation phase. Front Earth Sci, 9, https://doi.org/10.3389/feart.2021.617594
Barrie H, Soebarto V, Lange J, Mc Corry-Breen F, Walker L (2019) Using citizen science to explore neighbourhood influences on ageing well: pilot project. Healthcare 7(4):4. https://doi.org/10.3390/healthcare7040126
Batsaikhan A, Hachinger S, Kurtz W, Heller H, Frank A (2020) Application of modern web technologies to the citizen science project BAYSICS on climate research and science communication. Sustainability 12(18):18. https://doi.org/10.3390/su12187748
Bautista-Puig N, De Filippo D, Mauleón E, Sanz-Casado E (2019) Scientific landscape of citizen science publications: dynamics, content and presence in social media. Publications 7(1):1. https://doi.org/10.3390/publications7010012
Beatty AL, Peyser ND, Butcher XE, Cocohoba JM, Lin F, Olgin JE, Pletcher MJ, Marcus GM (2021) Analysis of COVID-19 vaccine type and adverse effects following vaccination. JAMA Netw Open 4(12):e2140364. https://doi.org/10.1001/jamanetworkopen.2021.40364
Bellido JJ, Báez JC, Souviron-Priego L, Ferri-Yañez F, Salas C, López JA, Real R (2020) Atmospheric indices allow anticipating the incidence of jellyfish coastal swarms. Mediterr Marine Sci 21(2):2. https://doi.org/10.12681/mms.20983
Benjamins S, Dodd J, Thorburn J, Milway VA, Campbell R, Bailey DM (2018) Evaluating the potential of photo-identification as a monitoring tool for flapper skate (Dipturus intermedius). Aqu Conserv Marine Freshwater Ecosyst 28(6):1360–1373. https://doi.org/10.1002/aqc.2937
Bergerot B (2022) The citizen science paradox. Land 11(8):8. https://doi.org/10.3390/land11081151
Bernedo Del Carpio M, Alpizar F, Ferraro PJ (2021) Community-based monitoring to facilitate water management by local institutions in Costa Rica. Proc Natl Acad Sci 118(29):e2015177118. https://doi.org/10.1073/pnas.2015177118
Beza E, Reidsma P, Poortvliet PM, Belay MM, Bijen BS, Kooistra L (2018) Exploring farmers’ intentions to adopt mobile Short Message Service (SMS) for citizen science in agriculture. Comput Electr Agric 151:295–310. https://doi.org/10.1016/j.compag.2018.06.015
Bibrzycki Ł, Burakowski D, Homola P, Piekarczyk M, Niedźwiecki M, Rzecki K, Stuglik S, Tursunov A, Hnatyk B, Castillo DEA, Smelcerz K, Stasielak J, Duffy AR, Chevalier L, Ali E, Lakerink L, Poole GB, Wibig T, Zamora-Saa J (2020) Towards a global cosmic ray sensor network: CREDO detector as the first open-source mobile application enabling detection of penetrating radiation. Symmetry 12(11):11. https://doi.org/10.3390/sym12111802
Blair BD, Brindley S, Hughes J, Dinkeloo E, McKenzie LM, Adgate JL (2018) Measuring environmental noise from airports, oil and gas operations, and traffic with smartphone applications: laboratory and field trials. J Exp Sci Environ Epidemiol 28(6):6. https://doi.org/10.1038/s41370-018-0077-2
Bogdos N, Manolakos ES (2019) Crowd-sourced wildfire spread prediction with remote georeferencing using smartphones. IEEE Access 7:102102–102112. https://doi.org/10.1109/ACCESS.2019.2931456
Boho D, Rzanny M, Wäldchen J, Nitsche F, Deggelmann A, Wittich HC, Seeland M, Mäder P (2020) Flora Capture: a citizen science application for collecting structured plant observations. BMC Bioinform 21(1):576. https://doi.org/10.1186/s12859-020-03920-9
Bonney R, Phillips TB, Ballard HL, Enck JW (2016) Can citizen science enhance public understanding of science? Public Underst Sci 25(1):2–16. https://doi.org/10.1177/0963662515607406
Botella C, Joly A, Bonnet P, Monestiez P, Munoz F (2018) Species distribution modeling based on the automated identification of citizen observations. Appl Plant Sci 6(2):e1029. https://doi.org/10.1002/aps3.1029
Bottollier-Depois JF, Allain E, Baumont G, Berthelot N, Darley G, Ecrabet F, Jolivet T, Lebeau-Livé A, Lejeune V, Quéinnec F, Simon C, Trompier F (2019) The OpenRadiation project: monitoring radioactivity in the environment by and for the citizens. Radioprotection 54(4):4. https://doi.org/10.1051/radiopro/2019046
Braz Sousa L, Fricker SR, Doherty SS, Webb CE, Baldock KL, Williams CR (2020) Citizen science and smartphone e-entomology enables low-cost upscaling of mosquito surveillance. Sci Total Environ 704:135349. https://doi.org/10.1016/j.scitotenv.2019.135349
Brigham R, Grau-Bové J, Rudnicka A, Cassar M, Strlic M (2018) Crowdsourcing as an analytical method: metrology of smartphone measurements in heritage science. Angew Chem Int Ed 57(25):7423–7427. https://doi.org/10.1002/anie.201801743
Brooks M, Rose S, Altwegg R, Lee AT, Nel H, Ottosson U, Retief E, Reynolds C, Ryan PG, Shema S, Tende T, Underhill LG, Thomson RL (2022) The African Bird Atlas Project: a description of the project and BirdMap data-collection protocol. Ostrich 93(4):223–232. https://doi.org/10.2989/00306525.2022.2125097
Brovelli MA, Ponti M, Schade S, Solís P (2020) Citizen science in support of digital earth. In Guo H, Goodchild MF, Annoni A, (eds), Manual of digital earth, pp. 593–622, Springer, https://doi.org/10.1007/978-981-32-9915-3_18
Bshouty E, Shafir A, Dalyot S (2019) Towards the generation of 3D OpenStreetMap building models from single contributed photographs. Comput Environ Urban Syst 79:101421. https://doi.org/10.1016/j.compenvurbsys.2019.101421
Bubalo M, van Zanten BT, Verburg PH (2019) Crowdsourcing geo-information on landscape perceptions and preferences: a review. Landsc Urban Plann 184:101–111. https://doi.org/10.1016/j.landurbplan.2019.01.001
Cabrera AN, Droste A, Heusinkveld BG, Steeneveld G-J (2021) The potential of a smartphone as an urban weather station—an exploratory analysis. Front Environ Sci, 9, https://doi.org/10.3389/fenvs.2021.673937
Cakmak EK, Ugurlu A, Anbaroglu B (2021) Adopting citizen science approach for water quality monitoring in Uzungöl, Turkey. Environ Monit Assess 193(9):604. https://doi.org/10.1007/s10661-021-09395-2
Callaghan CT, Liu G, Mitchell BA, Poore AGB, Rowley JJL (2021) Urbanization negatively impacts frog diversity at continental, regional, and local scales. Basic Appl Ecol 54:64–74. https://doi.org/10.1016/j.baae.2021.04.003
Cao W, Dong L, Wu L, Liu Y (2020) Quantifying urban areas with multi-source data based on percolation theory. Remote Sens Environ 241:111730. https://doi.org/10.1016/j.rse.2020.111730
Caputo B, Manica M, Filipponi F, Blangiardo M, Cobre P, Delucchi L, De Marco CM, Iesu L, Morano P, Petrella V, Salvemini M, Bianchi C, della Torre A (2020) ZanzaMapp: a scalable citizen science tool to monitor perception of mosquito abundance and nuisance in Italy and beyond. Int J Environ Res Public Health 17(21):21. https://doi.org/10.3390/ijerph17217872
Cardoso-Andrade M, Cruz-Jesus F, Souza Troncoso J, Queiroga H, Gonçalves MSJ (2022) Understanding technological, cultural, and environmental motivators explaining the adoption of citizen science apps for coastal environment monitoring. Global Environ Change 77:102606. https://doi.org/10.1016/j.gloenvcha.2022.102606
Carney RM, Mapes C, Low RD, Long A, Bowser A, Durieux D, Rivera K, Dekramanjian B, Bartumeus F, Guerrero D, Seltzer CE, Azam F, Chellappan S, Palmer JRB (2022) Integrating global citizen science platforms to enable next-generation surveillance of invasive and vector mosquitoes. Insects 13(8):8. https://doi.org/10.3390/insects13080675
Castro-Gutiérrez J, Gutiérrez-Estrada JC, Aroba J, Pulido-Calvo I, Peregrín A, Báez JC, Bellido JJ, Souviron-Priego L (2022) Estimation of jellyfish abundance in the south-eastern Spanish coastline by using an explainable artificial intelligence model based on fuzzy logic. Estuarine Coastal Shelf Sci 277:108062. https://doi.org/10.1016/j.ecss.2022.108062
Chen J, McQuillan PB, McDonald E, Hawkins C (2020) Citizen science reveals the Palaearctic poison hemlock moth Agonopterix alstroemeriana (Clerck) (Lepidoptera: Depressariidae) has established in Australia. N Z Entomologist 43(2):86–92. https://doi.org/10.1080/00779962.2020.1820125
Chepkwony R, van Bommel S, van Langevelde F (2018) Citizen science for development: Potential role of mobile phones in information sharing on ticks and tick-borne diseases in Laikipia, Kenya. NJAS 86–87(1):123–135. https://doi.org/10.1016/j.njas.2018.07.007
Chiesa G, Avignone A, Carluccio T (2022) A low-cost monitoring platform and visual interface to analyse thermal comfort in smart building applications using a citizen–scientist strategy. Energies 15(2):2. https://doi.org/10.3390/en15020564
Chrisinger BW, King AC (2018) Stress experiences in neighborhood and social environments (SENSE): a pilot study to integrate the quantified self with citizen science to improve the built environment and health. Int J Health Geogr 17(1):17. https://doi.org/10.1186/s12942-018-0140-1
Cochero J, Pattori L, Balsalobre A, Ceccarelli S, Marti G (2022) A convolutional neural network to recognize Chagas disease vectors using mobile phone images. Ecol Inform 68:101587. https://doi.org/10.1016/j.ecoinf.2022.101587
Córdova M, Pinto A, Hellevik CC, Alaliyat SA-A, Hameed IA, Pedrini H, da S.Torres R (2022) Litter detection with deep learning: a comparative study. Sensors 22(2):2. https://doi.org/10.3390/s22020548
Costa D, Aziz U, Elliott J, Baulch H, Roy B, Schneider K, Pomeroy J (2020) The nutrient app: developing a smartphone application for on-site instantaneous community-based NO3 and PO4 monitoring. Environ Model Softw 133:104829. https://doi.org/10.1016/j.envsoft.2020.104829
Coudel E, Nasuti S, dos Santos BA, Piva M, Fechine V, Folhes R-T (2022) Co-producing knowledge with family farming organizations: a citizen science observatory in Santarém, Brazilian Amazon. Cahiers Agric 31:1. https://doi.org/10.1051/cagri/2021035
Crocker E, Condon B, Almsaeed A, Jarret B, Nelson CD, Abbott AG, Main D, Staton M (2020) TreeSnap: a citizen science app connecting tree enthusiasts and forest scientists. Plants People Planet 2(1):47–52. https://doi.org/10.1002/ppp3.41
Cronje R, Rohlinger S, Crall A, Newman G (2011) Does participation in citizen science improve scientific literacy? A study to compare assessment methods. Appl Environ Educ Commun 10(3):135–145. https://doi.org/10.1080/1533015X.2011.603611
Danielsen F, Enghoff M, Poulsen MK, Funder M, Jensen PM, Burgess ND (2021) The concept, practice, application, and results of locally based monitoring of the environment. BioScience 71(5):484–502. https://doi.org/10.1093/biosci/biab021
Danqi X, Ya J, Jin J, Luo X (2021) Potential of plant identification apps in urban forestry studies in China: Comparison of recognition accuracy and user experience of five apps. J Forestry Res 32(5):1889–1897. https://doi.org/10.1007/s11676-020-01234-3
Daum MM, Bleiker M, Wermelinger S, Kurthen I, Maffongelli L, Antognini K, Beisert M, Gampe A (2022) The kleineWeltentdecker App—A smartphone-based developmental diary. Behav Res Methods 54(5):2522–2544. https://doi.org/10.3758/s13428-021-01755-7
David I-G (2022) Synergistic use of facebook, online questionnaires and local ecological knowledge to detect and reconstruct the bioinvasion of the Iberian Peninsula by Callinectes sapidus Rathbun, 1896. Biol Invasions 24(4):1059–1082. https://doi.org/10.1007/s10530-021-02696-0
Díaz JL, Codern-Bové N, Zomeño M-D, Lassale C, Schröder H, Grau M (2021) Quantitative and qualitative evaluation of the COMPASS mobile app: a citizen science project. Inform Health Soc Care 46(4):412–424. https://doi.org/10.1080/17538157.2021.1902332
Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021) How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res 133:285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Du Z, Sui H, Wang J (2021) A novel semantic recognition framework of urban functional zones supporting urban land structure analytics based on open-source data. Trans GIS 25(3):1460–1484. https://doi.org/10.1111/tgis.12736
Dumedah G, Fuseini A-KW, Marfo I, Agbadi G, Osei-Tutu A, Fordjour Kwadwo G, Asori M (2022) A new spatial database framework for pedestrian indoor navigation based on the OpenStreetMap tag information. Trans GIS 26(7):3090–3108. https://doi.org/10.1111/tgis.12998
Echeverria A, Ariz I, Moreno J, Peralta J, Gonzalez EM (2021) Learning plant biodiversity in nature: the use of the citizen–science platform iNaturalist as a collaborative tool in secondary education. Sustainability 13(2):2. https://doi.org/10.3390/su13020735
Encarnação J, Teodósio MA, Morais P (2021) Citizen science and biological invasions: a review. Front Environ Sci, 8, https://doi.org/10.3389/fenvs.2020.602980
Eritja R, Ruiz-Arrondo I, Delacour-Estrella S, Schaffner F, Álvarez-Chachero J, Bengoa M, Puig M-Á, Melero-Alcíbar R, Oltra A, Bartumeus F (2019) First detection of Aedes japonicus in Spain: an unexpected finding triggered by citizen science. Parasites Vectors 12(1):53. https://doi.org/10.1186/s13071-019-3317-y
Fan W, Wu C, Wang J (2019) Improving impervious surface estimation by using remote sensed imagery combined with open street map points-of-interest (POI) data. IEEE J Select Top Appl Earth Observ Remote Sens 12(11):4265–4274. https://doi.org/10.1109/JSTARS.2019.2911525
Fanti G, Borghi F, Spinazzè A, Rovelli S, Campagnolo D, Keller M, Cattaneo A, Cauda E, Cavallo DM (2021) Features and practicability of the next-generation sensors and monitors for exposure assessment to airborne pollutants: a systematic review. Sensors 21(13):13. https://doi.org/10.3390/s21134513
Ferri M, Wehn U, See L, Monego M, Fritz S (2020) The value of citizen science for flood risk reduction: Cost–benefit analysis of a citizen observatory in the Brenta-Bacchiglione catchment. Hydrol Earth Syst Sci 24(12):5781–5798. https://doi.org/10.5194/hess-24-5781-2020
Ferster CJ, Coops NC (2013) A review of earth observation using mobile personal communication devices. Comput Geosci 51:339–349. https://doi.org/10.1016/j.cageo.2012.09.009
Finazzi F (2020a) Fulfilling the information need after an earthquake: statistical modelling of citizen science seismic reports for predicting earthquake parameters in near realtime. J R Stat Soc Ser A Stat Soc 183(3):857–882. https://doi.org/10.1111/rssa.12577
Finazzi F (2020b) The earthquake network project: a platform for earthquake early warning, rapid impact assessment, and search and rescue. Front Earth Sci, 8, https://doi.org/10.3389/feart.2020.00243
Fischer HA, Gerber LR, Wentz EA (2021) Evaluating the fitness for use of citizen science data for wildlife monitoring. Front Ecol Evol, 9, https://doi.org/10.3389/fevo.2021.620850
Follett R, Strezov V (2015) An analysis of citizen science based research: usage and publication patterns. PLOS One 10(11):e0143687. https://doi.org/10.1371/journal.pone.0143687
Fraisl D, Hager G, Bedessem B, Gold M, Hsing P-Y, Danielsen F, Hitchcock CB, Hulbert JM, Piera J, Spiers H, Thiel M, Haklay M (2022) Citizen science in environmental and ecological sciences. Nat Rev Methods Primers 2(1):1. https://doi.org/10.1038/s43586-022-00144-4
Fuchs S, Keiler M, Ortlepp R, Schinke R, Papathoma-Köhle M (2019) Recent advances in vulnerability assessment for the built environment exposed to torrential hazards: challenges and the way forward. J Hydrol 575:587–595. https://doi.org/10.1016/j.jhydrol.2019.05.067
Galang JRF, Macaraan WER (2021) Digital apostleship: evangelization in the new agora. Religions 12(2):2. https://doi.org/10.3390/rel12020092
Ganzleben C, Kazmierczak A (2020) Leaving no one behind – understanding environmental inequality in Europe. Environ Health 19(1):57. https://doi.org/10.1186/s12940-020-00600-2
Garcia X, Gottwald S, Benages-Albert M, Pavón D, Ribas A, Vall-Casas P (2020) Evaluating a web-based PPGIS for the rehabilitation of urban riparian corridors. Appl Geogr 125:102341. https://doi.org/10.1016/j.apgeog.2020.102341
García FS, Pelacho M, Woods T, Fraisl D, See L, Haklay M, Arias R (2021) Finding what you need: a guide to citizen science guidelines. In Vohland K, Land-Zandstra A, Ceccaroni L, Lemmens R, Perelló J, Ponti M, Samson R, Wagenknecht K, (eds), The science of citizen science, pp. 419–437, Springer International Publishing, https://doi.org/10.1007/978-3-030-58278-4_21
Garcia-Soto C, Seys JJC, Zielinski O, Busch JA, Luna SI, Baez JC, Domegan C, Dubsky K, Kotynska-Zielinska I, Loubat P, Malfatti F, Mannaerts G, McHugh P, Monestiez P, van der Meeren GI, Gorsky G (2021) Marine citizen science: current state in Europe and new technological developments. Front Marine Sci, 8, https://doi.org/10.3389/fmars.2021.621472
Garfield E, Sher IH(1993) KeyWords PlusTM—Algorithmic derivative indexing J Am Soc Inform Sci 44(5):298–299. https://doi.org/10.1002/(SICI)1097-4571(199306)44:5<298::AID-ASI5>3.0.CO;2-A
Garg S, Lim KM, Lee HP (2020) Recording and analyzing carriage noise of various high-speed rail systems using smartphones. Acoust Aust 48(1):121–130. https://doi.org/10.1007/s40857-019-00174-1
Geller IV, Garcia DAZ, Pereira AD, Rodrigues Casimiro AC, Cochak C, Vitule JRS, Orsi ML (2021) New conservation opportunities: Using citizen science in monitoring non-native species in Neotropical region. J Appl Ichthyol 37(5):779–785. https://doi.org/10.1111/jai.14231
González SA, Rubio MA, Triana CA, King AC, Banchoff AW, Sarmiento OL (2022) Building healthy schools through technology-enabled citizen science: The case of the our voice participatory action model in schools from Bogotá, Colombia. Global Public Health 17(3):403–419. https://doi.org/10.1080/17441692.2020.1869285
Goodchild MF (2007) Citizens as sensors: The world of volunteered geography. GeoJournal 69(4):211–221. https://doi.org/10.1007/s10708-007-9111-y
Gundelund C, Arlinghaus R, Baktoft H, Hyder K, Venturelli P, Skov C (2020) Insights into the users of a citizen science platform for collecting recreational fisheries data. Fisheries Res 229:105597. https://doi.org/10.1016/j.fishres.2020.105597
Gundelund C, Arlinghaus R, Birdsong M, Flávio H, Skov C (2022) Investigating angler satisfaction: the relevance of catch, motives and contextual conditions. Fisheries Res 250:106294. https://doi.org/10.1016/j.fishres.2022.106294
Gundelund C, Venturelli P, Hartill BW, Hyder K, Olesen HJ, Skov C (2021) Evaluation of a citizen science platform for collecting fisheries data from coastal sea trout anglers. Can J Fisheries Aquat Sci 78(11):1576–1585. https://doi.org/10.1139/cjfas-2020-0364
Haddad H, de Nazelle A (2018) The role of personal air pollution sensors and smartphone technology in changing travel behaviour. J Transport Health 11:230–243. https://doi.org/10.1016/j.jth.2018.08.001
Haklay M (2013) Citizen science and volunteered geographic information: overview and typology of participation. In: Sui D, Elwood S, Goodchild M (Eds.) Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. Springer, Netherlands, p 105–122. 10.1007/978-94-007-4587-2_7
Haklay M (2021) Geographic citizen science: an overview. In Haklay M, Skarlatidou A (eds), Geographic citizen science design, pp. 15–37, UCL Press, https://doi.org/10.2307/j.ctv15d8174.9
Haklay M, Fraisl D, Greshake Tzovaras B, Hecker S, Gold M, Hager G, Ceccaroni L, Kieslinger B, Wehn U, Woods S, Nold C, Balázs B, Mazzonetto M, Ruefenacht S, Shanley LA, Wagenknecht K, Motion A, Sforzi A, Riemenschneider D, Vohland K (2021) Contours of citizen science: a vignette study. R Soc Open Sci 8(8):202108. https://doi.org/10.1098/rsos.202108
Haklay M, Dörler D, Heigl F, Manzoni M, Hecker S, Vohland K (2021) What is citizen science? The challenges of definition. In Vohland K, Land-Zandstra A, Ceccaroni L, Lemmens R, Perelló J, Ponti M, Samson R, Wagenknecht K (eds), The science of citizen science, pp. 13–33, Springer International Publishing, https://doi.org/10.1007/978-3-030-58278-4_2
Hamer SA, Curtis-Robles R, Hamer GL (2018) Contributions of citizen scientists to arthropod vector data in the age of digital epidemiology. Curr Opin Insect Sci 28:98–104. https://doi.org/10.1016/j.cois.2018.05.005
Hammami N, Katapally TR (2022) Do associations between suicide ideation and its correlates (substance use, anxiety, and depression) differ according to victimization type among youth? A Smart platform study. Prevent Med Rep 29:101944. https://doi.org/10.1016/j.pmedr.2022.101944
Hampf AC, Nendel C, Strey S, Strey R (2021) Biotic yield losses in the Southern Amazon, Brazil: making use of smartphone-assisted plant disease diagnosis data. Front Plant Sci, 12, https://doi.org/10.3389/fpls.2021.621168
Heikinheimo V, Tenkanen H, Bergroth C, Järv O, Hiippala T, Toivonen T (2020) Understanding the use of urban green spaces from user-generated geographic information. Landsc Urban Plann 201:103845. https://doi.org/10.1016/j.landurbplan.2020.103845
Hilton NH (2021) Stimmen: a citizen science approach to minority language sociolinguistics. Linguistics Vanguard, 7(s1), https://doi.org/10.1515/lingvan-2019-0017
Hologa R, Riach N (2020) Approaching bike hazards via crowdsourcing of volunteered geographic information. Sustainability 12(17):17. https://doi.org/10.3390/su12177015
Howard L, van Rees CB, Dahlquist Z, Luikart G, Hand BK (2022) A review of invasive species reporting apps for citizen science and opportunities for innovation. NeoBiota 71:165–188. https://doi.org/10.3897/neobiota.71.79597
Howe LB (2021) Thinking through people: the potential of volunteered geographic information for mobility and urban studies. Urban Stud 58(14):3009–3028. https://doi.org/10.1177/0042098020982251
Huang Z, Benyoucef M (2022) An empirical study of mobile application usability: a unified hierarchical approach. Int J Hum Comput Interact 0(0):1–20. https://doi.org/10.1080/10447318.2022.2082021
Jackowiak B, Lawenda M, Nowak MM, Wolniewicz P, Błoszyk J, Urbaniak M, Szkudlarz P, Jędrasiak D, Wiland-Szymańska J, Bajaczyk R, Meyer N (2022) Open access to the digital biodiversity database: a comprehensive functional model of the natural history collections. Diversity 14(8):8. https://doi.org/10.3390/d14080596
Jacobs L, Kabaseke C, Bwambale B, Katutu R, Dewitte O, Mertens K, Maes J, Kervyn M (2019) The geo-observer network: a proof of concept on participatory sensing of disasters in a remote setting. Sci Total Environ 670:245–261. https://doi.org/10.1016/j.scitotenv.2019.03.177
Jaud M, Bertin S, Beauverger M, Augereau E, Delacourt C (2020) RTK GNSS-assisted terrestrial SfM photogrammetry without GCP: application to coastal morphodynamics monitoring. Remote Sens 12(11):11. https://doi.org/10.3390/rs12111889
Jeffers VF, Humber F, Nohasiarivelo T, Botosoamananto R, Anderson LG (2019) Trialling the use of smartphones as a tool to address gaps in small-scale fisheries catch data in southwest Madagascar. Marine Policy 99:267–274. https://doi.org/10.1016/j.marpol.2018.10.040
Jennett C, Kloetzer L, Schneider D, Iacovides I, Cox A, Gold M, Fuchs B, Eveleigh A, Mathieu K, Ajani Z, Talsi Y (2016) Motivations, learning and creativity in online citizen science. J Sci Commun 15(03):A05. https://doi.org/10.22323/2.15030205
Johnson BA, Mader AD, Dasgupta R, Kumar P (2020) Citizen science and invasive alien species: an analysis of citizen science initiatives using information and communications technology (ICT) to collect invasive alien species observations. Global Ecol Conserv 21:e00812. https://doi.org/10.1016/j.gecco.2019.e00812
Juhász L, Novack T, Hochmair HH, Qiao S (2020) Cartographic vandalism in the era of location-based games—the case of OpenStreetMap and Pokémon GO. ISPRS Int J Geo Inform 9(4):4. https://doi.org/10.3390/ijgi9040197
Kamps K (2000) Die “Agora” des Internet. In Jarren O, Imhof K, Blum R (eds), Zerfall der Öffentlichkeit? pp. 227–239, VS Verlag für Sozialwissenschaften, https://doi.org/10.1007/978-3-663-07953-8_16
Katapally TR (2020) A global digital citizen science policy to tackle pandemics like COVID-19. J Med Internet Res 22(5):e19357. https://doi.org/10.2196/19357
Katapally TR (2022) Cannabis use and suicidal ideation among youth: can we democratize school policies using digital citizen science? PLOS One 17(2):e0263533. https://doi.org/10.1371/journal.pone.0263533
Kays R, Davidson SC, Berger M, Bohrer G, Fiedler W, Flack A, Hirt J, Hahn C, Gauggel D, Russell B, Kölzsch A, Lohr A, Partecke J, Quetting M, Safi K, Scharf A, Schneider G, Lang I, Schaeuffelhut F, Wikelski M (2022) The Movebank system for studying global animal movement and demography. Methods Ecol Evol 13(2):419–431. https://doi.org/10.1111/2041-210X.13767
Kerstes NAG, Breeschoten T, Kalkman VJ, Schilthuizen M (2019) Snail shell colour evolution in urban heat islands detected via citizen science. Commun Biol 2(1):1. https://doi.org/10.1038/s42003-019-0511-6
King F, Kelly R, Fletcher CG (2022) Evaluation of LiDAR-derived snow depth estimates from the iPhone 12 Pro. IEEE Geosci Remote Sens Lett 19:1–5. https://doi.org/10.1109/LGRS.2022.3166665
Kingma BRM, Steenhoff H, Toftum J, Daanen HAM, Folkerts MA, Gerrett N, Gao C, Kuklane K, Petersson J, Halder A, Zuurbier M, Garland SW, Nybo L (2021) ClimApp-integrating personal factors with weather forecasts for individualised warning and guidance on thermal stress. Int J Environ Res Public Health 18(21):11317. https://doi.org/10.3390/ijerph182111317
Kingsbury SE, McAlpine DF, Cheng Y, Parker E, Campbell LM (2021) A review of the non-indigenous Chinese mystery snail, Cipangopaludina chinensis (Viviparidae), in North America, with emphasis on occurrence in Canada and the potential impact on indigenous aquatic species. Environ Rev 29(2):182–200. https://doi.org/10.1139/er-2020-0064
Kipp A, Cunsolo A, Gillis D, Sawatzky A, Harper SL (2019) The need for community-led, integrated and innovative monitoring programmes when responding to the health impacts of climate change. Int J Circumpolar Health 78(2):1517581. https://doi.org/10.1080/22423982.2018.1517581
Kirk R, Schill D (2011) A digital agora: citizen participation in the 2008 presidential debates. Am Behav Sci 55(3):325–347. https://doi.org/10.1177/0002764210392167
Kloetzer L, Lorke J, Roche J, Golumbic Y, Winter S, Jõgeva A (2021) Learning in citizen science. In Vohland K, Land-Zandstra A, Ceccaroni L, Lemmens R, Perelló J, Ponti M, Samson R, Wagenknecht K (eds), The science of citizen science, pp. 283–308, Springer International Publishing, https://doi.org/10.1007/978-3-030-58278-4_15
Klütsch CFC, Aspholm PE, Polikarpova N, Veisblium O, Bjørn T-A, Wikan A, Gonzalez V, Hagen SB (2021) Studying phenological phenomena in subarctic biomes with international school pupils as citizen scientists. Ecol Evol 11(8):3501–3515. https://doi.org/10.1002/ece3.7122
Kocaman S, Gokceoglu C (2019) A CitSci app for landslide data collection. Landslides 16(3):611–615. https://doi.org/10.1007/s10346-018-1101-2
Kong Q, Patel S, Inbal A, Allen RM (2019) Assessing the sensitivity and accuracy of the MyShake smartphone seismic network to detect and characterize earthquakes. Seismological Res Lett 90(5):1937–1949. https://doi.org/10.1785/0220190097
Kowler FL, Kumar Pratihast A, Pérez Ojeda del Arco A, Larson AM, Braun C, Herold M (2020) Aiming for sustainability and scalability: community engagement in forest payment schemes. Forests 11(4):4. https://doi.org/10.3390/f11040444
Kraus S, Breier M, Lim WM, Dabić M, Kumar S, Kanbach D, Mukherjee D, Corvello V, Piñeiro-Chousa J, Liguori E, Palacios-Marqués D, Schiavone F, Ferraris A, Fernandes C, Ferreira JJ (2022) Literature reviews as independent studies: guidelines for academic practice. Rev Manag Sci 16(8):2577–2595. https://doi.org/10.1007/s11846-022-00588-8
Kress WJ, Garcia-Robledo C, Soares JVB, Jacobs D, Wilson K, Lopez IC, Belhumeur PN (2018) Citizen science and climate change: mapping the range expansions of native and exotic plants with the mobile app leafsnap. BioScience 68(5):348–358. https://doi.org/10.1093/biosci/biy019
Kullenberg C, Kasperowski D (2016) What is citizen science? – A scientometric meta-analysis. PLOS One 11(1):e0147152. https://doi.org/10.1371/journal.pone.0147152
Lamas A, Tabik S, Cruz P, Montes R, Martínez-Sevilla Á, Cruz T, Herrera F (2021) MonuMAI: dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420:266–280. https://doi.org/10.1016/j.neucom.2020.09.041
Laso Bayas JC, Gardeazabal A, Karner M, Folberth C, Vargas L, Skalský R, Balkovič J, Subash A, Saad M, Delerce S, Crespo Cuaresma J, Hlouskova J, Molina-Maturano J, See L, Fritz S, Obersteiner M, Govaerts B (2020) AgroTutor: a mobile phone application supporting sustainable agricultural intensification. Sustainability 12(22):22. https://doi.org/10.3390/su12229309
Li H, Fang T, Tan Q-G, Ma J (2022) Development of a versatile smartphone-based environmental analyzer (vSEA) and its application in on-site nutrient detection. Sci Total Environ 838(Pt 2):156197. https://doi.org/10.1016/j.scitotenv.2022.156197
Loureiro SMC, Guerreiro J, Ali F (2020) 20 years of research on virtual reality and augmented reality in tourism context: a text-mining approach. Tourism Manag 77:104028. https://doi.org/10.1016/j.tourman.2019.104028
Low R, Boger R, Nelson P, Kimura M (2021) GLOBE mosquito habitat mapper citizen science data 2017–2020. GeoHealth 5(10):e2021GH000436. https://doi.org/10.1029/2021GH000436
Lowry CS, Fienen MN, Hall DM, Stepenuck KF (2019) Growing pains of crowdsourced stream stage monitoring using mobile phones: the development of CrowdHydrology. Front Earth Sci, 7, https://doi.org/10.3389/feart.2019.00128
MacPhail VJ, Gibson SD, Colla SR (2020) Community science participants gain environmental awareness and contribute high quality data but improvements are needed: Insights from Bumble Bee Watch. PeerJ 8:e9141. https://doi.org/10.7717/peerj.9141
Mäder P, Boho D, Rzanny M, Seeland M, Wittich HC, Deggelmann A, Wäldchen J (2021) The Flora Incognita app – Interactive plant species identification. Methods Ecol Evol 12(7):1335–1342. https://doi.org/10.1111/2041-210X.13611
Malek R, Zapponi L, Eriksson A, Ciolli M, Mazzoni V, Anfora G, Tattoni C (2019) Monitoring 2.0: Update on the Halyomorpha halys Invasion of Trentino. ISPRS Int J Geo Inform 8(12):12. https://doi.org/10.3390/ijgi8120564
Marambio M, Canepa A, Lòpez L, Gauci AA, Gueroun SKM, Zampardi S, Boero F, Yahia OK-D, Yahia MND, Fuentes V, Piraino S, Deidun A (2021) Unfolding jellyfish bloom dynamics along the Mediterranean basin by transnational citizen science initiatives. Diversity 13(6):6. https://doi.org/10.3390/d13060274
Mark JJ (2021) Agora. World History Encyclopedia, https://www.worldhistory.org/agora/
Marks L, Laird Y, Trevena H, Smith BJ, Rowbotham S (2022) A scoping review of citizen science approaches in chronic disease prevention. Front Public Health, 10, https://doi.org/10.3389/fpubh.2022.743348
Martin J, Williamson D, Łucznik K, Guy JA (2021) Development of the my cult-rural toolkit. Sustainability 13(13):13. https://doi.org/10.3390/su13137128
Maynard JJ, Salley SW, Beaudette DE, Herrick JE (2020) Numerical soil classification supports soil identification by citizen scientists using limited, simple soil observations. Soil Sci Soc Am J 84(5):1675–1692. https://doi.org/10.1002/saj2.20119
McNeil C, Verlander S, Divi N, Smolinski M (2022) The landscape of participatory surveillance systems across the one health spectrum: systematic review. JMIR Public Health Surveill 8(8):e38551. https://doi.org/10.2196/38551
Moustard F, Haklay M, Lewis J, Albert A, Moreu M, Chiaravalloti R, Hoyte S, Skarlatidou A, Vittoria A, Comandulli C, Nyadzi E, Vitos M, Altenbuchner J, Laws M, Fryer-Moreira R, Artus D (2021) Using Sapelli in the field: methods and data for an inclusive citizen science. Front Ecol Evol, 9, https://doi.org/10.3389/fevo.2021.638870
Muller CL, Chapman L, Johnston S, Kidd C, Illingworth S, Foody G, Overeem A, Leigh RR (2015) Crowdsourcing for climate and atmospheric sciences: current status and future potential. Int J Climatol 35(11):3185–3203. https://doi.org/10.1002/joc.4210
Muñoz L, Hausner VH, Monz CA (2019) Advantages and limitations of using mobile apps for protected area monitoring and management. Soc Nat Resour 32(4):473–488. https://doi.org/10.1080/08941920.2018.1544680
Muñoz-Gil G, Dauphin A, Beduini FA, Sánchez de Miguel A (2022) Citizen science to assess light pollution with mobile phones. Remote Sens 14(19):19. https://doi.org/10.3390/rs14194976
Nadini M, Richmond S, Huang J, Rizzo A, Porfiri M (2020) Design and feasibility study of the mobile application StopTheSpread. IEEE Access 8:172105–172122. https://doi.org/10.1109/ACCESS.2020.3022740
Nagendra B, Lakshmisha A, Agarwal P (2019) Mobile application in municipal waste tracking: a pilot study of “PAC waste tracker” in Bangalore city, India. J Mater Cycles Waste Manag 21(3):705–712. https://doi.org/10.1007/s10163-018-00819-9
Nieman CL, Bruskotter JT, Braig EC, Gray SM (2020) You can’t just use gold: elevated turbidity alters successful lure color for recreational Walleye fishing. J Great Lakes Res 46(3):589–596. https://doi.org/10.1016/j.jglr.2020.03.002
Nowak MM, Dziób K, Ludwisiak Ł, Chmiel J (2020) Mobile GIS applications for environmental field surveys: a state of the art. Global Ecol Conserv 23:e01089. https://doi.org/10.1016/j.gecco.2020.e01089
Oddone Aquino AGHE, Nkomo SL (2021) Spatio-temporal patterns and consequences of road kills: a review. Animals 11(3):3. https://doi.org/10.3390/ani11030799
Odunitan-Wayas FA, Hamann N, Sinyanya NA, King AC, Banchoff A, Winter SJ, Hendricks S, Okop KJ, Lambert EV (2020) A citizen science approach to determine perceived barriers and promoters of physical activity in a low-income South African community. Global Public Health 15(5):749–762. https://doi.org/10.1080/17441692.2020.1712449
Ogbe M, Lujala P (2021) Spatial crowdsourcing in natural resource revenue management. Resour Policy 72:102082. https://doi.org/10.1016/j.resourpol.2021.102082
Olszewski R, Wendland A (2021) Digital Agora – Knowledge acquisition from spatial databases, geoinformation society VGI and social media data. Land Use Policy 109:105614. https://doi.org/10.1016/j.landusepol.2021.105614
Olteanu-Raimond A-M, Jolivet L, Van Damme M-D, Royer T, Fraval L, See L, Sturn T, Karner M, Moorthy I, Fritz S (2018) An experimental framework for integrating citizen and community science into land cover, land use, and land change detection processes in a national mapping agency. Land 7(3):3. https://doi.org/10.3390/land7030103
Omodior O, Saeedpour-Parizi MR, Rahman MdK, Azad A, Clay K (2021) Using convolutional neural networks for tick image recognition – a preliminary exploration. Exper Appl Acarol 84(3):607–622. https://doi.org/10.1007/s10493-021-00639-x
Ožana S, Burda M, Hykel M, Malina M, Prášek M, Bárta D, Dolný A (2019) Dragonfly Hunter CZ: mobile application for biological species recognition in citizen science. PLOS One 14(1):e0210370. https://doi.org/10.1371/journal.pone.0210370
Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hróbjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, Moher D (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71. https://doi.org/10.1136/bmj.n71
Palacin V, Ferrario MA, Hsieh G, Knutas A, Wolff A, Porras J (2021) Human values and digital citizen science interactions. Int J Hum Comput Stud 149:102605. https://doi.org/10.1016/j.ijhcs.2021.102605
Paleco C, García Peter S, Salas Seoane N, Kaufmann J, Argyri P (2021) Inclusiveness and diversity in citizen science. In Vohland K, Land-Zandstra A, Ceccaroni L, Lemmens R, Perelló J, Ponti M, Samson R, Wagenknecht K (eds), The Science of Citizen Science, pp. 261–281, Springer International Publishing, https://doi.org/10.1007/978-3-030-58278-4_14
Parycek P, Rinnerbauer B, Schossböck J (2017) Democracy in the digital age: digital agora or dystopia. Int J Electronic Govern 9(3–4):185–209. https://doi.org/10.1504/IJEG.2017.088224
Pataki BA, Garriga J, Eritja R, Palmer JRB, Bartumeus F, Csabai I (2021) Deep learning identification for citizen science surveillance of tiger mosquitoes. Sci Rep 11(1):1. https://doi.org/10.1038/s41598-021-83657-4
Patel A, Cheung L, Khatod N, Matijosaitiene I, Arteaga A, Gilkey JW (2020) Revealing the unknown: real-time recognition of galápagos snake species using deep learning. Animals 10(5):5. https://doi.org/10.3390/ani10050806
Paul JD, Bee E, Budimir M (2021) Mobile phone technologies for disaster risk reduction. Clim Risk Manag 32:100296. https://doi.org/10.1016/j.crm.2021.100296
Paul JD, Buytaert W, Allen S, Ballesteros-Cánovas JA, Bhusal J, Cieslik K, Clark J, Dugar S, Hannah DM, Stoffel M, Dewulf A, Dhital MR, Liu W, Nayaval JL, Neupane B, Schiller A, Smith PJ, Supper R (2018) Citizen science for hydrological risk reduction and resilience building. WIREs Water 5(1):e1262. https://doi.org/10.1002/wat2.1262
Pepe M, Costantino D, Vozza G, Alfio VS (2021) Comparison of two approaches to GNSS positioning using code pseudoranges generated by smartphone device. Appl Sci 11(11):11. https://doi.org/10.3390/app11114787
Picek L, Šulc M, Matas J, Heilmann-Clausen J, Jeppesen TS, Lind E (2022) Automatic fungi recognition: deep learning meets mycology. Sensors 22(2):2. https://doi.org/10.3390/s22020633
Polineni S, Shastri O, Bagchi A, Gnanakumar G, Rasamsetti S, Sundaravadivel P (2022) MOSQUITO EDGE: an edge-intelligent real-time mosquito threat prediction using an IoT-enabled hardware system. Sensors 22(2):2. https://doi.org/10.3390/s22020695
Posadas BB, Hanumappa M, Niewolny K, Gilbert JE (2021) Design and evaluation of a crowdsourcing precision agriculture mobile application for Lambsquarters, Mission LQ. Agronomy 11(10):10. https://doi.org/10.3390/agronomy11101951
Price CA, Lee H-S (2013) Changes in participants’ scientific attitudes and epistemological beliefs during an astronomical citizen science project. J Res Sci Teach 50(7):773–801. https://doi.org/10.1002/tea.21090
Purschke C (2021) Crowdscapes. Participatory research and the collaborative (re)construction of linguistic landscapes with Lingscape. Linguistics Vanguard, 7(s1), https://doi.org/10.1515/lingvan-2019-0032
Rappold AG, Hano MC, Prince S, Wei L, Huang SM, Baghdikian C, Stearns B, Gao X, Hoshiko S, Cascio WE, Diaz-Sanchez D, Hubbell B (2019) Smoke sense initiative leverages citizen science to address the growing wildfire-related public health problem. GeoHealth 3(12):443–457. https://doi.org/10.1029/2019GH000199
Resnik DB, Elliott KC, Miller AK (2015) A framework for addressing ethical issues in citizen science. Environ Sci Policy 54:475–481. https://doi.org/10.1016/j.envsci.2015.05.008
Robinson L, Cawthray J, West S, Bonn A, Ansine J (2018). Ten principles of citizen science: Innovation in Open Science, Society and Policy. In Citizen Science: Innovation in Open Science, Society and Policy, pp. 27–40, https://doi.org/10.2307/j.ctv550cf2.9
Robles MC, Amos HM, Dodson JB, Bouwman J, Rogerson T, Bombosch A, Farmer L, Burdick A, Taylor J, Chambers LH (2020) The GLOBE spring cloud challenge: the power of citizen scientists. Bull Am Meteorol Soc 101(11):985–990. https://doi.org/10.1175/BAMS-D-19-0295.A
Roman D, Reeves N, Gonzalez E, Celino I, Abd El Kader S, Turk P, Soylu A, Corcho O, Cedazo R, Re Calegari G, Scandolari D, Simperl E (2021) An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science. Data Technol Appl 55(5):622–642. https://doi.org/10.1108/DTA-10-2020-0253
Rosas LG, Rodriguez Espinosa P, Montes Jimenez F, King AC (2022) The role of citizen science in promoting health equity. Ann Rev Public Health 43(1):215–234. https://doi.org/10.1146/annurev-publhealth-090419-102856
Ross GMS, Bremer MGEG, Nielen MWF (2018) Consumer-friendly food allergen detection: moving towards smartphone-based immunoassays. Anal Bioanal Chem 410(22):5353–5371. https://doi.org/10.1007/s00216-018-0989-7
Rowley J, Callaghan C, Cutajar T, Portway C, Potter K, Mahony S, Trembath D, Flemons P, Woods A (2019) FrogID: citizen scientists provide validated biodiversity data on frogs of Australia. Herpetological Conserv Biol 14:155–170
Rowley JJL, Callaghan CT (2020) The FrogID dataset: expert-validated occurrence records of Australia’s frogs collected by citizen scientists. ZooKeys 912:139–151. https://doi.org/10.3897/zookeys.912.38253
Rozzi CA, Frigerio F, Balletti L, Mattoni S, Grasso D, Fogola J (2022) Indoor noise level measurements and subjective comfort: Feasibility of smartphone-based participatory experiments. PLOS One 17(1):e0262835. https://doi.org/10.1371/journal.pone.0262835
Sanderson C, Braby MF, Bond S (2021) Butterflies Australia: a national citizen science database for monitoring changes in the distribution and abundance of Australian butterflies. Austral Entomol 60(1):111–127. https://doi.org/10.1111/aen.12513
Santori C, Keith RJ, Whittington CM, Thompson MB, Van Dyke JU, Spencer R-J (2021) Changes in participant behaviour and attitudes are associated with knowledge and skills gained by using a turtle conservation citizen science app. People Nat 3(1):66–76. https://doi.org/10.1002/pan3.10184
Saran S, Singh P, Padalia H, Singh A, Kumar V, Chauhan P (2020) Citizen-centric tool for near real-time mapping of active forest fires. Curr Sci 119(5):780–789. https://doi.org/10.18520/cs/v119/i5/780-789
Scardino G, Martella R, Mastronuzzi G, Rizzo A, Borracesi Q, Musolino F, Romanelli N, Zarcone S, Cipriano G, Retucci A (2022) The nauticAttiva project: a mobile phone-based tool for the citizen science plastic monitoring in the marine and coastal environment. Marine Pollut Bull 185:114282. https://doi.org/10.1016/j.marpolbul.2022.114282
Schade S, Kotsev A, Cardoso AC, Tsiamis K, Gervasini E, Spinelli F, Mitton I, Sgnaolin R (2019) Aliens in Europe. An open approach to involve more people in invasive species detection. Comput Envirod Urban Syst 78:101384. https://doi.org/10.1016/j.compenvurbsys.2019.101384
Schmitz H, Howe CL, Armstrong DG, Subbian V (2018) Leveraging mobile health applications for biomedical research and citizen science: a scoping review. J Am Med Inform Assoc 25(12):1685–1695. https://doi.org/10.1093/jamia/ocy130
Schrammeijer EA, van Zanten BT, Davis J, Verburg PH (2022) The advantage of mobile technologies in crowdsourcing landscape preferences: Testing a mobile app to inform planning decisions. Urban Forestry Urban Greening 73:127610. https://doi.org/10.1016/j.ufug.2022.127610
See L (2019) A review of citizen science and crowdsourcing in applications of pluvial flooding. Front Earth Sci, 7, https://doi.org/10.3389/feart.2019.00044
Sellers CA, Buján S, Miranda D (2021) MARLI: a mobile application for regional landslide inventories in Ecuador. Landslides 18(12):3963–3977. https://doi.org/10.1007/s10346-021-01764-9
Silva CNS, Dainys J, Simmons S, Vienožinskis V, Audzijonyte A (2022) A scalable open-source framework for machine learning-based image collection, annotation and classification: a case study for automatic fish species identification. Sustainability 14(21):21. https://doi.org/10.3390/su142114324
Silver JD, Spriggs K, Haberle SG, Katelaris CH, Newbigin EJ, Lampugnani ER (2020a) Using crowd-sourced allergic rhinitis symptom data to improve grass pollen forecasts and predict individual symptoms. Sci Total Environ 720:137351. https://doi.org/10.1016/j.scitotenv.2020.137351
Silver JD, Spriggs K, Haberle S, Katelaris CH, Newbigin EJ, Lampugnani ER (2020b) Crowd-sourced allergic rhinitis symptom data: the influence of environmental and demographic factors. Sci Total Environ 705:135147. https://doi.org/10.1016/j.scitotenv.2019.135147
Skarlatidou A, Haklay M (2021) Geographic citizen science design: no one left behind. In Skarlatidou A, Haklay M (eds), Geographic Citizen Science Design, pp. 3–12, UCL Press. https://doi.org/10.2307/j.ctv15d8174.8
Skarlatidou A, Hamilton A, Vitos M, Haklay M (2019) What do volunteers want from citizen science technologies? A systematic literature review and best practice guidelines. J Sci Commun 18(1):A02. https://doi.org/10.22323/2.18010202
Stenhouse A, Roetman P, Lewis M, Koh LP (2020) Koala Counter: recording citizen scientists’ search paths to improve data quality. Global Ecol Conserv 24:e01376. https://doi.org/10.1016/j.gecco.2020.e01376
Sullivan JJ, Molles LE (2016) Biodiversity monitoring by community-based restoration groups in New Zealand. Ecol Manag Restor 17(3):210–217. https://doi.org/10.1111/emr.12225
Szczepanek R, Toś C, Bodziony M (2022) Temporary flood marks proposal: what we learned after losing the baroque artifact from Cracow, Poland. Int J Disaster Risk Reduction 74:102942. https://doi.org/10.1016/j.ijdrr.2022.102942
Tatsumi S, Yamaguchi K, Furuya N (2022). ForestScanner: a mobile application for measuring and mapping trees with LiDAR-equipped iPhone and iPad. Methods Ecol Evol, https://doi.org/10.1111/2041-210X.13900
Tedla HZ, Haile AT, Walker DW, Melesse AM (2022) Evaluation of factors affecting the quality of citizen science rainfall data in Akaki catchment, Addis Ababa, Ethiopia. J Hydrol 612:128284. https://doi.org/10.1016/j.jhydrol.2022.128284
Theuerkauf EJ, Bunting EL, Mack EA, Rabins LA (2022) Initial insights into the development and implementation of a citizen-science drone-based coastal change monitoring program in the Great Lakes region. J Great Lakes Res 48(2):606–613. https://doi.org/10.1016/j.jglr.2022.01.011
Thompson K-L, Reece N, Robinson N, Fisher H-J, Ban NC, Picard CR (2019) We monitor by living here”: Community-driven actualization of a social-ecological monitoring program based in the knowledge of Indigenous harvesters. FACETS 4(1):293–314. https://doi.org/10.1139/facets-2019-0006
Tovino SA (2020a) Mobile research applications and state research laws. J Law Med Ethics 48:82–86. https://doi.org/10.1177/1073110520917032
Tovino SA (2020b) Privacy and security issues with mobile health research applications. J Law Med Ethics 48:154–158. https://doi.org/10.1177/1073110520917041
Trichkova T, Paunović M, Cogălniceanu D, Schade S, Todorov M, Tomov R, Stănescu F, Botev I, López-Cañizares C, Gervasini E, Hubenov Z, Ignatov K, Kenderov M, Marinković N, Mitton I, Preda C, Spinelli FA, Tsiamis K, Cardoso AC (2021) Pilot application of ‘invasive alien species in Europe’ smartphone app in the Danube region. Water 13(21):21. https://doi.org/10.3390/w13212952
Tuckett AG, Freeman A, Hetherington S, Gardiner PA, King AC, On behalf of Burnie Brae Citizen Scientists (2018) Older adults using our voice citizen science to create change in their neighborhood environment. Int J Environ Res Public Health 15(12):12. https://doi.org/10.3390/ijerph15122685
Van Vliet K, Moore C (2016) Citizen science initiatives: engaging the public and demystifying science. J Microbiol Biol Educ 17(1):13–16. https://doi.org/10.1128/jmbe.v17i1.1019
Venturelli PA, Hyder K, Skov C (2017) Angler apps as a source of recreational fisheries data: Opportunities, challenges and proposed standards. Fish Fisheries 18(3):578–595. https://doi.org/10.1111/faf.12189
Wakeling BF, Sandrini JM, Lerich SP, Cardinal C (2022) A review of harvest and population monitoring methods for western wild turkeys. Wildlife Soc Bull 46(2):e1281. https://doi.org/10.1002/wsb.1281
Ward-Paige C, White E, Madin E, Osgood G, Bailes L, Bateman R, Belonje E, Burns K, Cullain N, Darbyshire-Jenkins P, de Waegh RS, Eger A, Fola-Matthews L, Ford B, Gonson C, Honeyman C, House J, Jacobs E, Jordan L, Yamb L (2022) A framework for mapping and monitoring human-ocean interactions in near real-time during COVID-19 and beyond. Marine Policy 140:105054. https://doi.org/10.1016/j.marpol.2022.105054
Wessels P, Moran N, Johnston A, Wang W (2019) Hybrid expert ensembles for identifying unreliable data in citizen science. Eng Appl Artif Intel 81:200–212. https://doi.org/10.1016/j.engappai.2019.01.004
Yalcin I, Kocaman S, Gokceoglu C (2020) A CitSci approach for rapid earthquake intensity mapping: a case study from Istanbul (Turkey). ISPRS Int J Geo Inform 9(4):4. https://doi.org/10.3390/ijgi9040266
Yan Y, Feng C-C, Huang W, Fan H, Wang Y-C, Zipf A (2020) Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience. Int J Geograph Inform Sci 34(9):1765–1791. https://doi.org/10.1080/13658816.2020.1730848
Yin Y, Grundstein A, Mishra DR, Ramaswamy L, Hashemi Tonekaboni N, Dowd J (2021) DTEx: a dynamic urban thermal exposure index based on human mobility patterns. Environ Int 155:106573. https://doi.org/10.1016/j.envint.2021.106573
Young AM, van Mantgem EF, Garretson A, Noel C, Morelli TL (2021) Translational science education through citizen science. Front Environ Sci, 9, https://doi.org/10.3389/fenvs.2021.800433
Zaman J, Kambona K, De Meuter W (2021) A reusable & reconfigurable Citizen Observatory platform. Fut Gener Comput Syst 114:195–208. https://doi.org/10.1016/j.future.2020.07.028
Zheng S, Li H, Fang T, Bo G, Yuan D, Ma J (2022) Towards citizen science. On-site detection of nitrite and ammonium using a smartphone and social media software. Sci Total Environ 815:152613. https://doi.org/10.1016/j.scitotenv.2021.152613
Zipf L, Primack RB, Rothendler M (2020) Citizen scientists and university students monitor noise pollution in cities and protected areas with smartphones. PLOS One 15(9):e0236785. https://doi.org/10.1371/journal.pone.0236785