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Sponsor
Critical Minerals
Exploration
Visualization
Dashboard
Completed

Tech Treasures

$5,000
Launched 7 weeks ago
Completed
Description

For this job, we are looking for a critical minerals exploration dashboard. Submissions will contain a Jupyter notebook file with the dashboard written in Python, and GeoJSON or GeoTIFF files containing the geospatial data.

All submissions for this bounty will be shared with the entire ThinkOnward Community, promoting data exploration and new insights to better understand emerging horizons.

In collaboration with Getech

For this bounty ThinkOnward is collaborating with Getech, a market leading provider of potential fields data and exploration tools. Getech helps to unlock the Earth’s subsurface potential, locating the essential energy and mineral resources needed for the world to decarbonise.

Data Criteria:
  • Data is downloadable from the open internet.

  • Data must have a clear open-source license for commercial use (i.e., Apache 2.0, MIT, BSD, CC-BY)

  • Google Maps and/or Esri ArcGIS Online can be used as a supplementary data source, but at least one additional credible source is required (i.e. the USGS)

  • Data is commonly found as shapefiles, rasters, or geodatabase, but these must be converted to GeoJSON format.

  • GeoJSON CRS is EPSG:4326 - WGS 84

  • A minimum submission of 1 functioning dashboard that includes a map component, 1 dataset that includes data about critical minerals 

Expected Output

Zip file containing: GeoJSON or GeoTIFF files, Jupyter notebook file written in Python and any Python scripts used to download data (if applicable)

GeoJSON file:
  • Points, lines, or polygons with relevant critical mineral data

GeoTIFF file:
  • Raster data for regularly gridded data

Python Scripts/Jupyter Notebook Requirements:
  • Must be written in Python

  • It can be run on a cloud virtual machine (Ex. AWS)

  • Script comments, doc strings, or markdown describing the steps involved.

  • A clear description of all parameters (username, dates, etc.).

  • A clear description of the setup and how to run the script.

  • Dashboard that displays data from the GeoJSON and GeoTIFF files along with analysis of your choice

Evaluation

A minimum submission should include:

  1. A dataset featuring data on the presence of critical minerals and geospatial features with the following types (inclusive but not limited to):

    1. General: Names of entities/units

    2. Targets layer: Presence or absence of critical mineral (CM) deposits/occurrences

    3. Geospatial coverage

    4. Geology, including rock types and ages (geochronology)

    5. Gravity features and anomalies

    6. Magnetic features and anomalies

    7. Geochemical features

    8. Additional features that could reasonably be included are locations of active mines or historical mining activity, etc.

  2. A dashboard with at least one map component and several supportive plots showing the influence of features on the presence of CM deposits

  3. A description of the used sources

  4. A story or textual interpretation of the created dataset and dashboard

The selection of the top 20 submissions (from those which faced the above criteria) will be evaluated by three judges on informal characteristics, such as:

  1. Clarity and logic of story

  2. Quality and interpretability of the dashboard

Bonus points will be awarded for:

  1. Meaningful data engineering

  2. Integration of interdisciplinary data that enrich the dataset

The judges’ averaged scores will determine the final list of winners.

Honorable mentions will also be selected in three categories and awarded additional prizes:

  1. The most comprehensive and recent set of layers

  2. The most well-supported interpretation

  3. The most innovative data product

Prize

Prizes for this job are as follows:

  • $2,100 for the best data story

  • $2,000 for the best dashboard

  • Three $300 honorable mentions

About Getech

Getech is a leading locator of the energy and mineral resources essential for the world’s energy transition. 

Getech’s unique data encompassing the most recent 400 million years of Earth's evolution, coupled with its geoscience expertise, AI-driven analytics and extensive GIS capabilities, enables the company to provide valuable and actionable insights to support resource discovery and development. 

The company’s client portfolio is wide-ranging, from governments, municipalities, natural resources and energy companies to consumer goods and computing services companies, all striving to become energy and minerals self-sufficient and drive towards net zero.