23 min listen
Kathryn Leonard and Axel Carlier on Crowdsourcing for Math Research
FromCarry the Two
ratings:
Length:
27 minutes
Released:
Apr 25, 2023
Format:
Podcast episode
Description
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
Follow-up research:
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 more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute
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
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
Follow-up research:
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 more of IMSI’s work: www.IMSI.institute, (twitter) @IMSI_institute, (mastodon) https://sciencemastodon.com/@IMSI, (instagram) IMSI.institute
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
Released:
Apr 25, 2023
Format:
Podcast episode
Titles in the series (26)
Moon Duchin on Voting & Electoral Districts: If you live in the United States, have you already voted? If not, go vote! The bedrock of American democracy is the idea of citizens voting for candidates to represent their interests. However, determining how to cluster voters into districts has always been a fraught topic, particularly when it comes to ensuring that minorities have representation. How can we create the most fair electoral districts? How can we use geometric topographical analysis to recognize gerrymandering strategies like “packing” and “cracking”? We brought in Tufts University mathematician and founder of the Metric Geometry and Gerrymandering Group Redistricting Lab Moon Duchin to help us discuss these pressing issues. Find our transcript here: LINK Curious to learn more? Check out these additional links: Duchin’s collaboration about ranked choice voting: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3778021 Brief review of Duchin’s scientific paper: https://www.n by Carry the Two