Data collection for the Green Recovery Expansion of the COVID 19 Global Gender Response Tracker
Assist in researching COVID-19 responses through a gender lens
Overview
Assist in researching COVID-19 responses through a gender lens
You have:
- Fluent in English is required for effective communication and data entry.
- Availability to work 6-10 hours per week over a 25-week period.
- Familiarity and expertise with gender and/or climate issues is considered an asset.
- Ability to follow detailed data entry and coding guidelines to ensure accuracy.
- Attendance in bi-weekly meetings for training and coordination.
Contract
This is a UNV contract. More about UNV contracts.
The gender team at UNDP is looking for volunteers for the COVID-19 Global Gender Response Tracker to research government policy responses to COVID-19 through a gender and climate lens. The Online Volunteers will help the team to conduct in-depth research on economic/fiscal, social protection, labour market, and violence against women policies, and help to analyze these policies for their impact on women, girls, and the environment. Online Volunteers on the tracker will be responsible for attending bi-weekly group training sessions via Zoom, collecting and entering data into existing templates, and validating data. Volunteers should be available to work on this project until December 2021. The new gender-environment dimension of the tracker will help monitor inequalities in COVID-19 response, create opportunities for advocacy, and strengthen countries’ resilience to future shocks.
- COVID-19 Response
Gender equality and the advancement of women
The COVID-19 Global Gender Response Tracker monitors policy measures enacted by governments worldwide to tackle the COVID-19 crisis, and highlights responses that have integrated a gender lens. Launched in September 2020, it includes national measures that address women’s economic and social security, including unpaid care work, the labour market and violence against women. Co-created by both entities, the tracker is coordinated by UNDP with substantive leadership and technical contributions from UN Women. It was updated in March 2021 to include over 3,100 policy measures across 219 countries and territories, as well as new data on women's participation in national COVID-19 task forces, which was compiled with the Gender Inequality Research Lab at the University of Pittsburgh and Online Volunteers. The COVID-19 pandemic has revealed pre-existing structural economic inequalities and injustices that can no longer be ignored. This includes gender-based inequalities, such as the uneven distribution of care responsibilities, women’s limited access to formal employment and social protection, and pervasive violence against women, which are now being exacerbated during COVID-19.
Volunteers: 25 needed
6-10 hours per week / 25 weeks
The volunteer needs to be fluent in English. They will be required to attend bi-weekly meetings for training and coordination purposes. Volunteers must be able to follow detailed data entry and coding guidelines to ensure accurate and transparent data. Familiarity and expertise with gender and/or climate issues are considered an asset.
Global
- Arabic, Japanese, Korean
Potential interview questions
| Can you describe a situation where you had to analyze data to inform a decision? | This question assesses your analytical abilities and experience with data-driven decision-making. | Discuss a specific example that highlights your method and the impact of the analysis. |
| How do you prioritize tasks when handling multiple responsibilities? | The interviewer is looking for your time management skills and ability to prioritize effectively. | Pro members can see the explanation. |
| What interests you about working on gender and climate issues? | Pro members can see the explanation. | Pro members can see the explanation. |
| Can you give an example of a time you worked in a team to complete a project? | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies do you use to ensure accuracy in data entry? | Pro members can see the explanation. | Pro members can see the explanation. |