IMPACT LEARNING

What is it and why now - a Shanzhai City perspective

DATA LITERACY FOR THE DEVELOPING WORLD

Increasingly, data technologies permeate and index the daily lives of the worlds' poor populations, moment-by-moment, for the benefit of market-driven or geo-political interests. Alas with scant return, feedback, or empowerment to those populations that provide the data. This causes a further rift in the information gap between the "first world" and developing regions. We feel it is a fundamental cause to the perpetuation of poverty and social inequality moving towards humanity's data-driven future. Without a realizable quantum-jump beyond the data-literacy divide that renders ever-growing oceans of data

WE SOLVE SOCIAL INEQUALITY THROUGH DATA LITERACY AND TRANSPARENCY.

TAT LAM, CEO, SHANZHAI CITY

inaccessible, the world's most vulnerable populations will continue suffering from a shortage of means for self-agency, remaining at the mercy of the exploitative structures in our current (political) economy.

Our intention is not only to rebalance this asymmetrical system of control, but to activate and catalyze self-empowering innovation at the fringes of the formal economy. We are placing the power of data literacy into the hands of the poor, leveraging our generation's advancement in artificial intelligence and ubiquitous computing, and making such informatics tools accessible, meaningful, and valuable to an impoverished majority. By doing so we believe social innovation located at the fringe can flourish locally, be shared
freely, and scale globally.

We believe that this quantum jump is necessary to disrupt and create a new socioeconomic system, where market forces are intrinsically guided by "glocal" social values, continuous awareness, and open transparency. All this thanks to sophisticated computeraided insight mining techniques, designed and evolving with the developing world.

IMPACT LEARNINGSAAS FOR UNLOCKING SOCIAL IMPACT

Let's dissect Impact Learning in greater details. In nutshell, it is a social impact analytics SaaS ecosystem designed to:

  • gain deeper insights into the efforts of purpose driven organizations, allowing them to make better decisions,
  • provide better service to end beneficiaries,
  • validate their actions to their stakeholders.

Likewise, it helps their financial and administrative backers to make better decisions for how to provide support with capital, policy, and other resources. Ultimately, this translates into ability to scale social impacts to new markets, with proper guidance and transparency to their end beneficiaries. In the end, everyone benefits from the best possible program engagement and trust.

The Impact Learning ecosystem is powered by data science tools, data models that are designed and trained by field experts, a field kit that allows agents working directly in communities to enhance data workflows, and a dashboard system to visualize what happened, what’s happening, and what may happen in the future.

tOur methodology for finding insights is a blend of science and experience. We rely on the insights of experts working with real people like community leaders, farmers, and villagers, laying the groundwork for good data models that improve over time through sophisticated machine learning processes paired with a digital fieldwork-flow.

With the field kit, we bring cloud information into the field, and field insights into the cloud to train a better cloud. The field kit allows agents in the field to gather data while they work, design and distribute surveys. It also facilitates access to real time computational insights either in the cloud or on standard phone with limited connectivity. We also develop tools for end beneficiaries to use any mobile communication devices both to track data as they live their normal lives, and to gain insights from Impact Learning. This helps them to make better decisions through networked feedback, expert insights, and educational materials.

The Dashboard is the visual interface to the SaaS that allows users to upload, centralize, and parse data, as well as to explore, optimize, and predict using machine learning. Impact Learning is real time monitoring and evaluation, so reporting can be a dynamic website instead of (or in addition to) a static printed report that will sit on a dusty old shelf, expanding the reach and effects of communication across all stakeholders.

How it works?

View an Impact Learning case

SOCIAL IMPACT METRICS - HELPING INVESTORS HELP PEOPLE

We redefine social impact metrics from bottom to top. True, in the social development space, purpose-driven organizations produce innovative solutions for populations that need it most. But the values of their efforts require measurable evidence proving that they can sustainably produce positive impacts before they can be successfully scaled. Unfortunately, current impact measurement practices in developing regions are costly and labor intensive, where the complexity of parsing holistic impacts is beyond the expertise of the social program operators: data is unreliable, quickly outdated, and stuck in old dusty annual reports folders. As a consequence, social programs have limited ability to self-improve and their backers can’t see how to better support them.

We solve this by automating impact metrics on a cloud analytics platform call ImpactLearningTM, with tools for real-time input and feedback gathering that can be used behind a desk as well as in the field. To gain accurate data from remote areas where typical data collection has been difficult, we harness the power of human sensing and social computing by deploying sensitive technologies in the hands of field agents and end beneficiaries that are appropriate to developing regions. Data quality and reliability is improved by tapping into and redefining an already existing data network. Complexities of social impact can be better assessed and understood through machine learning engine embedded in ImpactLearningTM. Obtained insights help to optimize social programs, reveal deeper impacts to their backers while providing help to end beneficiaries in their daily lives.

IMPACT LEARNING - SAAS FOR UNLOCKING SOCIAL IMPACT

Let's dissect Impact Learning in greater details. In nutshell, it is a social impact analytics SaaS ecosystem designed to:

  • gain deeper insights into the efforts of purpose driven organizations, allowing them to make better decisions,
  • provide better service to end beneficiaries,
  • validate their actions to their stakeholders.

Likewise, it helps their financial and administrative backers to make better decisions for how to provide support with capital, policy, and other resources. Ultimately, this translates into ability to scale social impacts to new markets, with proper guidance and transparency to their end beneficiaries. In the end, everyone benefits from the best possible program engagement and trust.

The Impact Learning ecosystem is powered by data science tools, data models that are designed and trained by field experts, a field kit that allows agents working directly in communities to enhance data workflows, and a dashboard system to visualize what happened, what’s happening, and what may happen in the future.

Our methodology for finding insights is a blend of science and experience. We rely on the insights of experts working with real people like community leaders, farmers, and villagers, laying the groundwork for good data models that improve over time through sophisticated machine learning processes paired with a digital fieldwork-flow.

With the field kit, we bring cloud information into the field, and field insights into the cloud to train a better cloud. The field kit allows agents in the field to gather data while they work, design and distribute surveys. It also facilitates access to real time computational insights either in the cloud or on standard phone with limited connectivity. We also develop tools for end beneficiaries to use any mobile communication devices both to track data as they live their normal lives, and to gain insights from Impact Learning. This helps them to make better decisions through networked feedback, expert insights, and educational materials.

The Dashboard is the visual interface to the SaaS that allows users to upload, centralize, and parse data, as well as to explore, optimize, and predict using machine learning. Impact Learning is real time monitoring and evaluation, so reporting can be a dynamic website instead of (or in addition to) a static printed report that will sit on a dusty old shelf, expanding the reach and effects of communication across all stakeholders.

WHO USES IMPACT LEARNING?

Let's dissect Impact Learning in greater details. In nutshell, it is a social impact analytics SaaS ecosystem designed to:

  • Impact Funds and Responsible Investors - to understand the relationship of capital with social impacts generated by projects and organizations to which they contribute and enable with investment. Automation of social, environmental, or any cause-driven mandates can have automatic reporting and notifications with parameters set accordingly to the specifics of each fund or investor.
  • Foundations and Philanthropies - to help monitor and evaluate the capacity, efficiency, and overall performance of organizations they support. Real time feedback and computation of complex yet holistic data points can help to find correlations unseen from the field.
  • Government entities and Private Public Partnerships (PPP) - to streamline and consolidate the data pipeline for impact metrics which ultimately saves cost, time, and effort to serve government mandates with required insights and reporting. Machine learning tools can bring innovative insights to improve social policies and strengthen relationships for PPP’s by delivering measured social services from private to public entities.
  • Social enterprises, NGOs, & NPOs - to provide insights to optimize impact business performance, discover more concise targets for social interventions, and automated reporting to financial supporters and stakeholders.
  • End beneficiaries and Underserved Communities - to understand intervention data and performance with transparency, contributing intelligence to social projects and research programs, and enhancing public participation with social programs.