AI-Based Impact Organization Detector

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seirayun
Project Owner

AI-Based Impact Organization Detector

Funding Awarded

$30,000 USD

Expert Review
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Status

  • Overall Status

    ⏳ Contract Pending

  • Funding Transfered

    $0 USD

  • Max Funding Amount

    $30,000 USD

Funding Schedule

View Milestones
Milestone Release 1
$7,500 USD Pending TBD
Milestone Release 2
$10,000 USD Pending TBD
Milestone Release 3
$4,000 USD Pending TBD
Milestone Release 4
$8,500 USD Pending TBD

Project AI Services

No Service Available

Overview

Many people, such as impact investors, purpose-driven job seekers, and socially conscious consumers, need to differentiate between impact organizations and other organizations. However, existing platforms do not provide this distinction, which means we have to manually analyze each organization to determine if it is an impact organization. To address this, we propose building an AI system that automates this process. We will train the model using a dataset of over 24,000 existing impact organizations.

Proposal Description

Company Name (if applicable)

Socious Global Inc.

How our project will contribute to the growth of the decentralized AI platform

Our project aims to contribute to the growth of the AI platform by automating the process of identifying impact organizations. By developing an AI system that can distinguish between impact organizations and others, we will provide a valuable tool for impact investors, purpose-driven job seekers, and socially conscious consumers. This will save time and effort, enabling users to quickly identify organizations that align with their values.

New AI services:

Yes

Description of the new services.

Our project brings a new AI service, namely "Impact Organization Detector," to the platform. By developing an AI system that can distinguish between impact organizations and others, we will provide a valuable tool for impact investors, purpose-driven job seekers, and socially conscious consumers. This will save time and effort, enabling users to quickly identify organizations that align with their values. We will train the model using a dataset of over 24,000 existing impact organizations. This extensive dataset will allow the AI system to learn and accurately identify impact organizations based on various criteria and characteristics. By leveraging the power of AI, we aim to provide a reliable and efficient solution that streamlines the process of identifying impact organizations.

Existing AI Services:

No

The core problem we are aiming to solve

The main problem we aim to solve is the absence of a platform that can differentiate impact organizations from others. Current platforms rely on manual analysis, which is time-consuming and inefficient. For example, impact investors want to invest in impact startups, but they have to analyze each company manually. Purpose-driven professionals are seeking impact organizations to work for, but they have to review each company manually. Socially-conscious consumers want to purchase products and services from companies that align with their values, but they have to assess each company manually.

Our specific solution to this problem

Because there is currently no platform available that can effectively differentiate impact organizations from others, we propose to address this gap by developing an advanced AI system. This system will automate the process of identifying impact organizations, utilizing a vast dataset of over 24,000 existing impact organizations. By leveraging the power of artificial intelligence, we aim to create a solution that not only saves valuable time for users but also empowers impact investors, purpose-driven job seekers, and socially conscious consumers. For example, impact investors will be able to connect with impact startups they might be interested in investing in, without manually analyzing each company. Purpose-driven professionals can search for impact organizations to work for. Socially-conscious consumers can purchase products and services from and support companies that align with their values.

The competition and our USPs

Yes

Describe how your solution distinguishes itself from other solutions (if exist) and how it will succeed in the market.

Currently, there is no solution that distinguishes impact organizations from others. For example, platforms like LinkedIn and Crunchbase have extensive databases of organizations but they do not categorize them according to their impact. As a result, users have to manually review company descriptions and websites to determine if they are impact organizations or not. Our unique selling point is that we can automate this process.

What we still need besides budget?

No

Existing resources we will leverage for this project

Yes

Description of existing resources

Yes, we will be utilizing the existing resources available to Socious. For example, we have a database of 24,000 impact organizations that have already been vetted. This means that we do not need to allocate any funding to obtain the dataset for training purposes.

Open Source Licensing

gnu

Describe license details and, if applicable, list any components that are not subject to this license.

Our project is proudly open source, licensed under the GNU General Public License v3.0 (GPLv3). This license allows others to freely use, modify, and distribute our code, under the condition that any derivative work will also be open source under the GPLv3. This fosters collaboration and community-driven development, as it encourages other developers to contribute to our project, or to use our code as a starting point for their own projects, thus driving innovation in the sector. By making our project open source, we aim to contribute to the global movement of shared knowledge and collaborative problem solving. This approach ensures transparency, promotes the sharing of knowledge, and encourages a collective approach to addressing the challenges associated with the impact job sector. Ultimately, we believe that open-sourcing our project will lead to a more robust, efficient, and impactful solution.

Links and references

https://socious.io

AI services (New or Existing)

Proposal Video

AI-Based Impact - Seira Socious

10 February 2024
  • Total Milestones

    4

  • Total Budget

    $30,000 USD

  • Last Updated

    12 Mar 2024

Milestone 1 - API Calls & Hostings

Status
😐 Not Started
Description

This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted.

Deliverables

You can use this amount for payment of API calls on our platform. Use it to call other services or use it as a marketing instrument to have other parties try out your service. Alternatively you can use it to pay for hosting and computing costs.

Budget

$7,500 USD

Link URL

Milestone 2 - Complete Impact Organization Detector

Status
😐 Not Started
Description

This milestone involves the completion of Impact Organization Detector, a tool that uses artificial intelligence (AI) algorithms to curate a selection of impact Organizations. The AI is trained using existing data on impact organizations. When we feed organizations to the AI, it detects whether the company is an impact organization or not, it aggregates all the impact organizations, and then lists them on the Socious platform.

Deliverables

- **Milestone Deliverable:** Fully functional Impact Organization Detector tested and deployed. - **Deliverable Description:** Impact Organization Detector will be fully operational, trained, and tested. Users will be able to see a curated list of impact organizations on the Socious app. - **AI Training:** $6,500 - Training the AI using sample impact organizations on our database. - **Integration and Listing:** $1,500 - Integrating the aggregated impact organizations into the Socious platform and listing them appropriately. - **Testing:** $500 - Testing the entire process from organization detection/collection to listing on the platform. - **Deployment:** $500 - Deploying it to production. - **Contingency:** $1,000 - A contingency budget to cover any unforeseen expenses that may arise during the onboarding process. - **Milestone Related Budget:** $10,000

Budget

$10,000 USD

Link URL

Milestone 3 - SingularityNET Platform Onboarding

Status
😐 Not Started
Description

Milestone Description: This milestone involves the process of onboarding our Impact Job Matching Engine onto the SingularityNET platform. This includes all the necessary steps for integration with SingularityNET's infrastructure, from setting up the hosting environment, to configuring API calls, and interacting with the SNET internal team to ensure successful integration.

Deliverables

- **Deliverable Description:** The Impact Organization Detector is successfully integrated and functioning on the SingularityNET platform. All necessary interactions with the SNET internal team have been completed, and the service is live and operational. - **Integration:** $2,000 - All the activities involved in integrating the service with the SingularityNET platform, including configuring the hosting environment, setting up API calls, and ensuring compatibility with the platform. - **Interactions with SNET Internal Team:** $1,000 - Costs associated with interactions with the SingularityNET internal team for integration and onboarding. - **Contingency:** $1,000 - A contingency budget to cover any unforeseen expenses that may arise during the onboarding process. - **Milestone Related Budget:** $4,000

Budget

$4,000 USD

Link URL

Milestone 4 - Marketing

Status
😐 Not Started
Description

Milestone Description: This phase will focus on promoting the service. Marketing campaigns will be launched, and efforts will be made to build partnerships. Continuous improvement will be sought through a user feedback loop.

Deliverables

- **Milestone Deliverable:** Launched marketing campaigns, established partnerships, and implemented user feedback loop. - **Deliverable Description:** Marketing campaigns will be successfully launched, partnerships will be established, and a user feedback loop will be implemented for continuous improvement. - **Marketing Campaigns:** $4,500 - Costs associated with launching marketing campaigns to promote the service. - **Partnership Building:** $3000 - Costs associated with efforts to build partnerships. - **Contingency:** $1,000 - A contingency budget to cover any unforeseen expenses that may arise during the process - **Milestone Related Budget:** $8,500

Budget

$8,500 USD

Link URL

Join the Discussion (10)

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10 Comments
  • 1
    commentator-avatar
    HenriqC
    Feb 10, 2024 | 3:22 PM

    Impactful project indeed! Good questions and good answers in the discussion. Thanks! Here is one more question: How do you think it might be possible to incorporate and leverage the user feedback for improving the accuracy of the model? I guess many users will be relatively motivated, know what they are looking for and would happily share their insights.

    • 0
      commentator-avatar
      seirayun
      Feb 11, 2024 | 4:15 PM

      Thank you for this excellent question! Yes, user feedback is crucial for enhancing the accuracy of the model. We have plans to enable users to easily report organizations that they believe are not actually impact organizations. This feedback will greatly assist us in improving the model.

  • 0
    commentator-avatar
    XyrisKenn
    Feb 7, 2024 | 12:58 AM

    Hello Seirayun, fascinating proposal! I've always been drawn to impact organizations and have volunteered at non-profits. It is a laborious task to find them, and they don't always have available budget to market themselves. Bravo, excellent idea.

    • 0
      commentator-avatar
      seirayun
      Feb 9, 2024 | 11:41 PM

      Thank you for your kind words! Yes, I agree. I've also searched for impact organizations to volunteer for and it's so difficult to find them!

  • 2
    commentator-avatar
    Ubio Obu
    Feb 6, 2024 | 11:35 AM

    First I must say this is a very good proposal, it's important to know impact-based organizations and their values so one can decide if to work with them or not. I want to know the scope of this project, is it simply a classification project on ML, that simply decides if a project is impact-based or not, will it state the impact focus of the project if it is an impact-based organization? Does it give an impact score? How will it detect organisations who claim to be impact based maybe in their website but not in reality

    • 1
      commentator-avatar
      seirayun
      Feb 9, 2024 | 11:59 PM

      Hi Ubio, thank you for your great questions! Re. “I want to know the scope of this project, is it simply a classification project on ML, that simply decides if a project is impact-based or not, will it state the impact focus of the project if it is an impact-based organization? Does it give an impact score?” For this specific project, our goal is to determine whether the organization is an impact organization or not. In future iterations, we will also aim to identify the specific social causes they are focusing on. Regarding the impact score, it is based on verified impact and cannot be automated. This approach is taken to prevent greenwashing or impact washing. Re. “How will it detect organisations who claim to be impact based maybe in their website but not in reality”. This is a valid point. In the training data, we have excluded such cases and only included genuinely impactful organizations that were manually assessed. We believe that by using the appropriate training data, we can identify and detect such cases.

  • 2
    commentator-avatar
    Jan Horlings
    Feb 1, 2024 | 4:48 PM

    Hi Seira, Nice initiative and I love the fact that you have a milestone for marketing! One question: what data would I have to feed this service, in order to test whether a specific organization is aligned with the 'impact' values? Speaking of which, what criteria determine whether an organization is aligned? Is this binary or more of a grayscale?

    • 0
      commentator-avatar
      seirayun
      Feb 2, 2024 | 5:18 AM

      Hi Jan, thank you for your great question! In order to feed this service, we require a description of the organization. We have evaluated each company's descriptions manually and classified them as impact or non-impact based on whether the company's primary mission is to advance one of the 17 UN Sustainable Development Goals. For instance, the description below is The Grameen Bank’s: “The Grameen Bank project started in 1976 as an action research pilot project in "Jobra" village in Chattogram district of Bangladesh. In 1983, the pilot project was transformed into a bank with the aim of alleviating poverty and empowering the marginalized poor in Bangladesh through micro-credit. The unique feature of Grameen Bank is that no collateral is required to get the credit from the bank. Unlike mainstream commercial banks that bring their clients to their shiny branch premises where the poor are afraid to be trampled, Grameen Bank carries its services to the comfort zone of its clients’ doorsteps. It has inspired the women and the weaker section of the communities to join the Grameen fraternity. All banking transactions except loan disbursement are done in the meetings of the borrowers at the village level centers organized by the center managers. Grameen Bank's strong presence in remote areas of the country bears witness to this fact. Grameen Bank has always made it a priority to empower women and involve them in economic activities. As a result, Grameen Bank can proudly say that 98% of its borrowers are women. More than two-thirds of these women have moved on to better lives through poverty alleviation. Grameen Bank now operates in 40 Zonal offices, 40 Zonal Audit offices, 240 Area Offices, and 2568 Branch offices and the number of employees as of December 2023 stood at 21,843. Grameen Bank is currently present in 81678 (94%) villages in the country and provides services to nearly 45 million people (including family members) through 10.46 million borrower members. Grameen Bank's microcredit program is being implemented as a successful model in alleviating poverty in many countries of the world. Grameen Bank was awarded the Nobel Peace Prize in 2006 in appreciation of its efforts to create economic and social development from the bottom of the society through microcredit. Grameen Bank is working not just to alleviate the poverty of its borrower members, but also to ensure that their future generations are not left behind. It offers education loans, new entrepreneurship loans, and scholarships to borrower members' children. Grameen Bank's most humanitarian and exceptional program is the Struggle (Beggar) Members Program. Grameen Bank offers interest-free loans to help beggars build financial capacity so that they don't have to beg anymore. Already 21,383 members have given up begging and become self-sufficient. Up to December 2023, the cumulative amount of loan disbursement by Grameen Bank, since inception, stood at US$ 37,785.09 million (BDT 3,007,889.32 million) to 10.46 million borrower members, 97% of whom are female members. Following an exceptional banking practice, Grameen Bank has ensured a lucrative recovery rate of 96.68% (as of December 2023) which is comparatively higher than any other banking systems. As of December 2023, the outstanding loans of the bank are US$ 1,474.85 million (BDT 162,454.28 million) and the balance of the deposit is US$ 2249.83 million (BDT 247,819.31 million). The success indicators of Grameen Bank are now much higher than that of at any other time in the past due to the charismatic and dynamic leadership of its present Board of Directors and Management Team. Grameen Bank has been actively contributing to the development of Bangladesh.” We classify it as an impact organization. We have a dataset of 24,000 examples, which will be used as training data for AI. The AI will analyze descriptions and determine their similarity to the training data. It will provide a percentage indicating the level of similarity. We define a specific range of percentages that we consider indicative of impact.

      • 0
        commentator-avatar
        Jan Horlings
        Feb 2, 2024 | 12:08 PM

        Nice. The 17 UN Sustainable Development Goals are a very good baseline indeed. It does require the organization to have a full, reliable and available description in the first place. Is this a common thing? Where would you usually find this? Could the AI for instance derive conclusions from the last 3 annual reports?

        • 0
          commentator-avatar
          seirayun
          Feb 5, 2024 | 5:25 PM

          Hi Jan, thank you for your great questions! Firstly, “Could the AI for instance derive conclusions from the last 3 annual reports?” Yes, having more information will lead to better results as it improves accuracy. Secondly, re. “It does require the organization to have a full, reliable and available description in the first place. Is this a common thing? Where would you usually find this?” Our goal is to reliably predict whether an organization is an impact organization or not by analyzing a one-paragraph description of the organization. This information can be found on platforms such as Crunchbase and LinkedIn. https://www.crunchbase.com/organization/singularitynet https://www.linkedin.com/company/singularitynet/

Expert Review

Overall

4

user-icon
  • Feasibility 3
  • Viability 4
  • Desirabilty 5
  • Usefulness 4
Helpful to impact investors, if data is available

The most exciting part of this project is that it has a clear impact mission, this mission when it works will be very helpful to impact investors and people who focus majorly on impact, this is quite desirable, however, there is a little challenge with the feasibility as the metric of using publicly available data on the website or CrunchBase can be very limiting

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4 ratings
  • 0
    user-icon
    HenriqC
    Feb 11, 2024 | 4:55 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    Service for growing demand

    Feasibility:

    There are not any big difficulties to create a model that classifies organizations as described in the proposal. It is hard to estimate what level of accuracy is high enough for different use cases and customer segments but at least for preliminary filtering purposes this is definitely a promising initiative. 

     

    Viability:

    Socious has proven their capacity to work on projects like this one and they have other projects that integrate nicely with the proposed service. The budget allocates most of the resources for the development of the core detector algorithms but also takes care of the service onboarding and marketing. In my view, implementation risk is fairly low. 

     

    Desirability:

    Demand for these types of services is probably growing in the foreseeable future. In a project like this, open sourceness is an exceptional benefit. Not only for reliability and the lack of biases but also for more extensive community adoption. There are several projects working on impact recognition and measurement challenges. 

     

    Usefulness:

    The proposal identifies several target audiences who can immediately benefit from the service. The project also creates great options for further development where more nuances regarding the impact can be added. Those two things together contribute to both short and long term utilization of the service. 

     

     

  • 0
    user-icon
    JudithWilliams
    Feb 11, 2024 | 10:36 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    Great indentification of an unmet market need!

    Great solution! According to studies, 'impact' has become one of Millenials' and GenZ's top desired value when choosing an employer. Your tool would aid them in choosing an employer tremendously! 

  • 0
    user-icon
    Anthony Oliko
    Feb 8, 2024 | 10:25 AM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    A Solid Project with good utility.

    I like the utility of the proposed tool as I have needed such in recent times. I also see the proposer mentioned the UN SDG Goals as a benchmark to measure Impact, If this is a scoring system used to grade or rank companies and institutions on their Impact, I think more thought should be put into whatever criteria or institutional bodies do this ranking to avoid bias and unintended redlining. Overall, a solid project.

  • 0
    user-icon
    XyrisKenn
    Feb 7, 2024 | 12:59 AM

    Overall

    5

    • Feasibility 5
    • Viability 5
    • Desirabilty 4
    • Usefulness 4
    This would greatly aid finding Nonprofits

    Excellent identification of a need to find impact organizations, and application of AI services.

Summary

Overall Community

4.5

from 4 reviews
  • 5
    2
  • 4
    2
  • 3
    0
  • 2
    0
  • 1
    0

Feasibility

4.5

from 4 reviews

Viability

4.3

from 4 reviews

Desirabilty

4.3

from 4 reviews

Usefulness

4.5

from 4 reviews