2025 | Finance/ Credit Companies | Promising | SDG1 | SDG10 | SDG11 | SDG12 | SDG13 | SDG14 | SDG15 | SDG16 | SDG17 | SDG2 | SDG3 | SDG4 | SDG5 | SDG6 | SDG7 | SDG8 | SDG9 | United States
Automated Impact Reporting through ImpactMapper software

Organisation Name

ImpactMapper

Industry

Financial services, professional services

Organisation Website

https://impactmapper.com/

Country

United States

Sustainable Development Goals (SDGs)

SDG 1: No Poverty

SDG 2: Zero Hunger

SDG 3: Good Health and Well-being

SDG 4: Quality Education

SDG 5: Gender Equality

SDG 6: Clean Water and Sanitation

SDG 7: Affordable and Clean Energy

SDG 8: Decent Work and Economic Growth

SDG 9: Industry, Innovation and Infrastructure

SDG 10: Reduced Inequality

SDG 11: Sustainable Cities and Communities

SDG 12: Responsible Consumption and Production

SDG 13: Climate Action

SDG 14: Life Below Water

SDG 15: Life on Land

SDG 16: Peace and Justice Strong Institutions

SDG 17: Partnerships to achieve the Goal

General Description of the AI tool

ImpactMapper’s AI tools streamline analysis and reporting for donors and nonprofits. Users can query text reports and pdfs in the ImpactMapper platform and generate answers and insights across datasets and we have launched a pilot autotagging tool for outcomes and the SDGs. The AI Insights feature generates instant and editable summaries of all charts in the platform, making reporting and data interpretation faster and more efficient. Auto-Translate enables quick, accurate translation of multilingual surveys, saving time and reducing reliance on costly translation services.

Github, open data repository

https://www.impactmapper.com

Relevant Research and Publications

2022. Pittman, Alexandra. Leveraging data science and AI to promote social justice, sustainability and equity. Responsible Investor. https://www.responsible-investor.com/leveraging-data-science-and-ai-to-promote-social-justice-sustainability-and-equity

2020. Pittman, Alexandra. The Data Problem, Need, and Benefits of Preparing Gender-related SDG Information in the UN System for Machine Learning Projects. UN Women. Internal Report.

2020. Pittman, Alexandra. A Data Preparation Protocol and Potential Uses of an Efficient Machine Learning Process at UN Women. UN Women. Internal Report.

Needs

Funding

Personnel

Customers

Public Exposure

HPC resources and/or Cloud Computing Services

CONTACT

International Research Centre
on Artificial Intelligence (IRCAI)
under the auspices of UNESCO 

Jožef Stefan Institute
Jamova cesta 39
SI-1000 Ljubljana

info@ircai.org
ircai.org

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