COP27 - Global Stocktake Climate Datathon

About the Datathon

The Structure

Participants will have roughly three weeks to tackle a prompt - using data our partners provide or through data they find themselves. The tasks can be as simple as cleaning and wrangling a dataset - the first step to making it interoperable - or more advanced, like designing interactive visualizations or conducting statistical analyses.

The Task

How close are we to meeting our emissions reduction goals? This question and other prompts will get you started in thinking about how data can be used to answer questions relevant to contribute to our understanding of collective progress towards the Paris Agreement. Have your own burning question you'd like to answer? No problem - we've got an Open Prompt category just for you.

What do we expect

Participants can explore prompts we've invited climate organizations and experts to contribute in three categories: mitigation, adaptation, and implementation and support. Does no prompt strike your fancy? No sweat - the Open Prompt category allows you to explore your creativity.

Help datasets talk to one another to provide aggregated insights on collective progress

Conduct analyses on existing actor data to identify trends and new findings

Help to visualize our collective progress toward the Paris Agreement

Contribute to data storytelling and narration

Other data innovation

Prompts

What is a prompt?

A prompt will consist of an open dataset or a call for data surrounding a guided question or topic related to the Global Stocktake. A prompt will also include background information on the issue, challenges and opportunities with the data, and a technical appendix.

Not sure how to get started?

For more information on the GST and its challenges, some initial guiding questions, and some general open-source datasets, check out the starter document below.

Learn how to get started

Mitigation

Explores questions related to our ability to reduce climate-warming emissions.

Owner: Data-Driven Envirolab (DDL)

Net-Zero CO2eq and GHG Targets

How can analysis and visualization of publicly available data be used to further map the ambition of current net-zero CO2eq or GHG non-state actor targets/commitments?

See full prompt

Owner: World Resources Institute (WRI), ClimateWorks Foundation, McGill University

Mapping the Climate Data Platform Space

Currently there is no comprehensive, public overview of existing climate data platforms that allows experts and non-experts alike to know what type of climate data exists and is available for analysis

See full prompt

Owner: Climate TRACE

Filling gaps in global landfill datasets

Can current global landfill datasets be improved on by incorporating information from other sources such as government websites, municipal websites, non-English websites, or even newspapers?

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Owner: Climate Equity Reference Project (CERP); Carleton University

Open, Transparent, Accessible, and Flexible NDC Mitigation Quantification

The main challenge is to create a “Open, Transparent, Accessible, and Flexible NDC Mitigation Quantification” tool that, based on input data sets of relevant socio economic (GDP, population) and emissions data (disaggregated by sectors and gases) and the relevant utterances about...

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Adaptation & Resilience

Explores questions related to our ability to adapt to climate impacts and build future resilience.

Owner: Global Covenant of Mayors for Climate & Energy (GCoM)

Data for city climate mitigation inventories and adaptation assessments

What are the third-party datasets that can improve the quantity and quality of city-level data togenerate ‘good enough’ GHG emissions inventories and/or climate risk and vulnerability assessments -and how can we integrate them?

See full prompt

Owner: Speed and Scale

Ocean Resilience

How can we utilize and visualize publicly available datasets to stimulate action that will result in the prevention of damage to both coastal and deep-sea ecosystems?

See full prompt

Owner: SDG Assessment

Sustainability assurance framework for SME greenhouse gas emissions data

How could the GST provide a sustainability assurance framework to assure the quality of SME greenhouse gas emissions data?

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Owner: West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL)

Using primary climate data to enhance the resilience of communities

First, there are some data gaps, and we ask participants to contribute to cleaning and processing the data while helping to understand where the data gaps are. Secondly, as the stations are scattered across the sites, we want to know what other...

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Means of Implementation & Support

Explores datasets related to financing, capacity building, and knowledge sharing.

Owner: Radboud University; German Development Institute

Actor Analysis

We see a high number of instances of participation by a multiplicity of actors. However, we have not yet determined to what extent these instances overlap -- for instance one actor taking part in multiple ICI's. Can we visualize (e.g. through SNA):
How many actors relate to multiple initiatives;
Whether there are trends and patterns in e.g. collaborations between certain actors or types of actors?...

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Owner: Mark Roelfsema, Utrecht University

Carbon trading

Construct and visualize historical data from before 2021, and projected emissions in the period 2021-2030 per EU Member State (and additional countries), sector (electricity vs industry, and industry sectors in more detail) or groups of large companies. In addition, add the remaining emissions that need to be decreased by other EU policy instruments. Using geographical maps is a plus.

See full prompt

General prompts

Explores datasets and challenges related to GST data collection and harmonization across all thematic areas.

Owner: CAD2.0

Digitally-Enabled Independent Global Stocktake (DIGS)

In this prompt, we ask teams to develop approaches using emerging and web3 technologies for improving data quality, interoperability, and transparency for climate accounting.

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DIGS Litepaper

Owner: Data-Driven Envirolab (DDL)

ClimActor and entity harmonization of climate actors

How can a more automated and efficient entity matching algorithm be implemented for entity matching of climate data?

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Owner: OpenEarth Foundation

Climate accounting harmonization

In this prompt, the challenge is to discover GHG emissions datasets and convert them to the OpenClimate data format. The OpenClimate schema supports emissions accounting for public entities like nation-states, sub-national divisions like states and provinces, and cities. It can also support reporting data for private sector organizations, down to physical sites like factories...

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More information

Timeline

1
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September 21st @ 9:00-9:30 AM ET | Launch Datathon @ NY Climate Week

2
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October 15th | Submissions closed

October 15th-20th | Submissions reviewed

4
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October 21st | Winners identified and announced

5
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November 10th @ COP27 | Winners will present on Science Day

Github

We ask for available data to be provided that could support the Global Stocktake

Visit Datathon Github

Judging Criteria

Submissions will be evaluated by a panel of climate data experts based on quality, clarity, credibility, and potential impact.
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If your project includes code, please include the code in your submission and ensure that it is replicable.
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If your project does not include some sort of visualization, please create a slide deck or write a brief explanation of how your project addresses the prompt.

Download Criteria

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