Kathryn Leonard and Axel Carlier on Crowdsourcing for Math ResearchLearn how anyone can help advance the fields of math & statistics through community science
We’re still celebrating Mathematical and Statistical Awareness Month here at Carry the Two. This time, we’re taking a look at how anyone can get involved with research and help move mathematics (or statistics) forward. We explore the differences between citizen science, community science, and crowd sourcing and how one group of researchers used an international scavenger hunt to collect data.
Find our transcript here: LINK
Curious to learn more? Check out these additional links:
Peer-reviewed article of today’s paper: The 2D shape structure dataset: A user annotated open access database - https://www.sciencedirect.com/science/article/pii/S0097849316300528
T. Blanc-Beyne, G. Morin, K. Leonard, A. Carlier, S. Hahmann, A Salience Measure for 3D Shape Decomposition and Sub-parts Classification, Graphical Models 99:22-30, September 2018.
K. Leonard, G. Morin, S. Hahmann, A. Carlier, A 2D shape structure for decomposition and part similarity, International Conference on Pattern Recognition, p. 3216-3221, Dec 2016.
Other examples of community/citizen science/crowdsourcing: https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecs2.4300
NASA's Harp Project: https://listen.spacescience.org/
National Geographic’s collection of community science projects: https://education.nationalgeographic.org/resource/citizen-science-projects/
Collection of Community Science Projects in a searchable database: https://scistarter.org/finder?active=true
Peer-reviewed article on crowdsourcing in science: https://link.springer.com/article/10.1007/s11846-022-00602-z
Peer-reviewed article on community science:https://www.sciencedirect.com/science/article/pii/S1462901119300942
History of GISH items: https://gishwheshistorian.tumblr.com/2022items
Follow Kathryn Leonard: https://www.oxy.edu/academics/faculty/kathryn-leonard
Follow Axel Carlier: https://ipal.cnrs.fr/axel-carlier-personal-page/
This episode was audio engineered by Tyler Damme.
Music by Blue Dot Sessions.
The Institute for Mathematical and Statistical Innovation (IMSI) is funded by NSF grant DMS-1929348.