Interview with Flora Incognita: Innovation in Citizen Science Using Machine Learning

Images: All images courtesy Flora Incognita https://floraincognita.com/de/pressemappe/

Authors
Jana Wäldchen ORCiD 0000-0002-2631-1531
Patrick Mäder ORCiD 0000-0001-6871-2707

Cite as:

DOI

10.25815/xp2t-w456

Citation format: The Chicago Manual of Style, 17th Edition

Wäldchen, Jana & Mäder, Patrick. ‘Interview with Flora Incognita: Innovation in Citizen Science Using Machine Learning’, 2019. https://doi.org/10.25815/xp2t-w456.

An interdisciplinary team has come up with a mobile app for identifying plants based on users taking a photo of the plant on their mobile. The Flora Incognita app applies machine learning to identify plant species in near real-time — flowers, plants, and trees. Simplicity and Innovation are both hard to accomplish but this is where Flora Incognita has excelled and to achieve both deserves a mention. Currently the app suite works with flora in the German Central European region, based on 4,800 species, using 1.7 million images, with a 100,000 images coming from users in 2018 alone. For Citizen Science the enthusiastic engagement of the public with Flora Incognita shows a clear path forward for more widespread uses of machine learning in public participation with science and scholarship, and in knowledge creation.

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A Book Review — Citizen Science: Co-optation Instead of Cooperation?

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DOI

10.20389/jsf3-m585

Citation format: The Chicago Manual of Style, 17th Edition

Greshake Tzovaras, Bastian. ‘A Book Review — Citizen Science: Co-optation Instead of Cooperation?’, 2019. https://doi.org/10.20389/jsf3-m585.

Bastian Greshake Tzovaras reviews the book Citizen Science Innovation in Open Science, Society and Policy from the university open access press, UCL Press. Greshake Tzovaras highlights the Ten Principles of Citizen Science and opens up questions about how to progress deeper participation and decision making by the public.

citizen science

Citizen Science Innovation in Open Science, Society and Policy

Open Access
ISBN: 9781787352339
DOI: 10.14324/111.9781787352339
Publication: October 15, 2018
Creative Commons 4.0 International license (CC BY 4.0)

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Community Science, Fueled by Your Personal Data

Image: Open Humans sketch. All images courtesy Open Humans

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10.25815/4gdw-cv05

Citation format: The Chicago Manual of Style, 17th Edition

Greshake Tzovaras, Bastian. ‘Community Science, Fueled by Your Personal Data’, 2019. https://doi.org/10.25815/4gdw-cv05.

Science, research, and society are missing out on the wealth of personal data being generated from the likes of fitness and health monitoring, and genetics because of poor regulatory framework to support user orientated and privacy driven data policies — AKA data sovereignty! Open Humans offers a working platform and data storage inside a standardized ecosystem that puts the users in control of their data and protects privacy.

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Open Participatory Research — Four Challenges for Opening Science Beyond Scientific Institutions

Image: Do-It-Together Science Bus, 2017, Waag (BY-NC-SA), https://waag.org/nl/project/do-it-together-science-bus

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DOI

10.25815/qykn-de07

Citation format: The Chicago Manual of Style, 17th Edition

Göbel, Claudia. ‘Open Participatory Research — Four Challenges for Opening Science Beyond Scientific Institutions’, 2019. https://doi.org/10.25815/qykn-de07.

Claudia Göbel proposes a framework of examination for how Citizen Science and other types of participatory research should form a more prominent part of the much needed cultural change in knowledge institutions. This is to complement the many reforms already underway in other areas of Open Science & Scholarship.

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