Citizen Science & SDGs: Opportunities, Challenges, Recommendations

15555 15 85534 2 240450 document 85534 EoE Dubai_v0.pdf application/pdf 05a987cdc3e675b6489a7e5269f2d363 MD5 7871220 2018-10-30 07:17:35 https://pure.iiasa.ac.at/id/eprint/15555/1/EoE%20Dubai_v0.pdf 15555 1 1 application/pdf text en public cc_by_nc_4

EoE Dubai_v0.pdf

published 85535 2 240458 document 85535 lightbox.jpg image/png 8a8c7fe74d0f8f1eed411fe0a96ad122 MD5 47740 2018-10-30 07:27:50 https://pure.iiasa.ac.at/id/eprint/15555/2/lightbox.jpg 15555 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/85534 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/85534 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/85534 archive 353 disk0/00/01/55/55 2018-10-30 07:23:42 2025-03-12 05:00:27 2018-10-30 07:23:42 conference_item show 1 Fraisl D. 2123 0000-0001-7523-7967 Fritz S. 8130 0000-0003-0420-8549 See L. 8571 0000-0002-2665-7065 McCallum I. 1731 0000-0002-5812-9988 Moorthy I. 2089 0000-0002-3664-3855 Citizen Science & SDGs: Opportunities, Challenges, Recommendations pub prog_esm Tracking and monitoring the implementation of the SDGs is critical for establishing progress, which requires a systematic review of the social, economic and environmental dimensions of the SDGs. As inputs, accurate, accessible, timely and spatially disaggregated data are needed. Even though data availability and quality have improved over the last decade, more data are needed to ensure that “no one is left behind”, which is a key component of the 2030 Agenda for Sustainable Development, while addressing all aspects of the SDGs. Traditional data collection methods, e.g. administrative records, statistical surveys, censuses, etc. need to be strengthened, and a much wider set of data are needed to address the SDGs. To achieve this, new, innovative ways of data production and analysis using Earth Observation (EO), mobile data, social media, sensors, etc. need to be developed and adopted. In addition to EO and other new geospatial data sets such as mobile phone data, another key source of data to support the SDGs is citizen science (CS), which is defined as the involvement of citizens in scientific research. CS can deliver data swiftly, accurately and at a level of granularity not possible with traditional data gathering methods. This session will outline the results from a workshop hosted by IIASA on 3‐5 October in Austria that brought together major global citizen science associations from Europe, Africa, Asia, Australia and the US. Recommendations and best practices will be outlined to address how non‐traditional data sources, citizen science in particular, can contribute to both monitoring and implementation of the SDGs. A conceptual framework will be proposed to identify how creating an enabling environment for the integration of traditional and non‐traditional approaches can leverage the SDG achievement. Additionally, we will showcase examples of success stories, and demonstrate how selected indicators can be monitored via non‐traditional approaches. 2018-10-23 published https://eye‐on‐earth.net 2612 98 276 202 211 public paper Eye on Earth Summit Mina A'Salam, Madinat Jumeriah, Dubai 22-24 October 2018 conference FALSE FALSE no info:eu-repo/semantics/conferenceObject