Deadline: 04-Sep-20
The UNDP Regional Bureau for Latin America and the Caribbean has an alliance with GRANDATA to make anonymous mobility data available to researchers and policy-makers, who can use it to understand dimensions of the socio-economic effects of the pandemic and help shape policy response in the region.
In order to promote a collective reflection on issues that will be critical for policy reform towards more equal, more productive and more resilient societies they put forth this call for research proposals that will combine their mobility data with other geo-referenced data available at the country-level to explore questions falling under the general umbrella of the “socio-economic impact and policy response assessments of COVID-19”.
UNDP will provide the selected proposals with country-level datasets containing granular information about the number of times individuals left their homes before and after the global outbreak was declared, which can be used to measure the level of compliance with social distancing obligations, social outing frequencies and the areas where individual outings were concentrated or took place.
They are welcoming proposals for the set of countries for which the mobility data is available: Argentina, Brazil, Bolivia, Chile, Colombia, Ecuador, Guatemala, Jamaica, México, Paraguay, Perú and Uruguay.
Papers resulting from this initiative that comply with our minimum quality standards will be published in the UNDP LAC COVID-19 Policy Documents Series and their findings used as inputs for the UNDP Regional Human Development Report 2020. Authorship will be cited and property rights of the authors for later publication in other outlets respected.
Examples of the questions they are interested in exploring:
- Is lower compliance with quarantines and lockdowns associated with higher mortality rates in the poorer neighborhoods?
- Has police force deployment been able to enforce compliance with restrictions to mobility imposed by local governments and, if not, what other household or neighborhood characteristics explain their lack of effectiveness?
- Have transfers to households been successful in containing mobility? Have in-kind transfers and cash transfers been equally successful?
- Can mobility patterns be associated to access to health and/or public services?
- Is higher compliance with quarantines and lockdowns associated with increased domestic violence?
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