Approximating Accessibility of Regions from Incomplete Volunteered Data
Author:
Affiliation:
1. AI & Society Lab, Humboldt Institute for Internet and Society, Germany
2. AI & Society Lab, Humboldt Institute for Internet & Society, Germany
Funder
German Ministry of Science and Education (BMBF)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3491101.3519706
Reference17 articles.
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2. Judith Heumann. 2016. Our fight for disability rights – and why we’re not done yet. https://www.ted.com/talks/judith_heumann_our_fight_for_disability_rights_and_why_we_re_not_done_yet Judith Heumann. 2016. Our fight for disability rights – and why we’re not done yet. https://www.ted.com/talks/judith_heumann_our_fight_for_disability_rights_and_why_we_re_not_done_yet
3. Crowdsourced mapping in crisis zones: collaboration, organisation and impact
4. Paul Hünermund and Elias Bareinboim. 2021. Causal Inference and Data Fusion in Econometrics. arxiv:1912.09104 [econ.EM] Paul Hünermund and Elias Bareinboim. 2021. Causal Inference and Data Fusion in Econometrics. arxiv:1912.09104 [econ.EM]
5. Finding the Way to OSM Mapping Practices
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