Support for Data Gathering (scraping), Data Validation for Micro-Small and Medium Enterprises in the Philippines (GIS)

Volunteering IT & Telecom Programme & Policy

Overview

Assist in developing methods for data extraction and validation for MSMEs

You have:

• Bachelor's (or higher) in Computer Science, Geomatics, Geography, Statistics, or related field with strong interest in Data Science
• Practical experience in data preprocessing, data collection techniques
• Understanding and knowledge of analytical techniques such as predictive analytics, event detection/prediction, data visualization and experience machine learning modeling is a plus
• Applied knowledge of programming languages, such as Python or R
• Experience in working with geodata

Contract

This is a UNV contract. More about UNV contracts.

The online volunteers will participate in developing methods to derive data on the existence of Micro-Small and Medium sized (MSME’s) enterprises in one or more cities in the Philippines. The volunteers will work under SDG AI Lab supervision. The main tasks will be: 1) Build upon the existing methodologies provided by the Lab and support the team in the data collection process as well as the semantic / logical development of the process. 2) Work with geographical datasets and data preprocessing, create and maintain scripts with a chosen programming language to extract the position of amenities of interest in an area of interest. Additionally, a methodology including the usage of StreetView data (by Google) to validate the dataset developed. 3) The project is aiming to use the gathered data to run simulations on the risk dimensions (natural disasters) these assets are exposed to.

• Technology development

• Development programmes, technical assistance and volunteer management

  IICPSD’s SDG AI Lab initiative (sdgailab.org) requires assistance in developing and implementing methods for data scraping from various sources such as Google Maps, OpenStreetMap, Google StreetView and more to help build a scalable methodology to extract the location of small and medium enterprises at a given location. The project envisions experimentation with data scripting, data labeling and label validation. The extracted datasets will support our private sector partners in their understanding of the position and type of MSME’s in a selected region. The data then will be used to perform analysis of hazard risk and exposure within the region. Our partners will be leading the decision-making process and set goals and targets to the team of volunteers to achieve the required outputs. The Lab provides in-house expertise, resources, and research support to various UNDP projects to mainstream digital transformation to development problems and to contribute to the achievement of the Sustainable Development Goals.

• Volunteers: 3 needed

• 11-20 hours per week / 13 weeks

  Bachelor’s (or higher) in Computer Science, Geomatics, Geography, Statistics, or related field with strong interest in Data Science; Practical experience in data preprocessing, data collection techniques; Understanding and knowledge of analytical techniques such as predictive analytics, event detection / prediction, data visualization, and experience machine learning modeling is a plus; Applied knowledge of programming languages, such as Python or R; Experience in working with geodata.

• Global

• English

Apply now

Potential interview questions

Added 5 years ago - Updated 1 year ago - Source: onlinevolunteering.org