GIVING TECH LABS

prototypes and research

A showcase of Prototypes and Research done at Giving Tech Labs

In our lab, we create Technology for the Public Interest and our innovation relies on two approaches:

We incubate one or two new social enterprises every year; you can see details in our portfolio section. You can also visualize our progress through the years in our interactive timeline.

These are some interactive prototypes, libraries, research papers, and artifacts that are work in progress.

White Paper

Limited Broadband Access as a Barrier to Economic Mobility of Older Americans

This research provides insights about broadband related barriers that prevent older Americans 65+ from being an active part of the US workforce. Through applying machine learning and natural language processing methods, five important factors are surfaced that characterize the lack of broadband access as a barrier to the economic mobility of older Americans.

  • Geography and Infrastructure
  • Broadband Supply and it's Quality
  • Affordability and Economic Factors
  • Adoption and Awareness about the Broadband Benefits
  • Support System and Policy

Sponsored by CWI Labs and X4Impact

Research Paper

Domain-Specific Knowledge Graph as a Public Service

This applied research paper explores the practical applications of Domain-Specific Knowledge Graphs that allow for the extraction of information from trusted published and unpublished sources, to map the extracted information to an ontology defined in collaboration with sector experts, and to enable the public to go from single queries into ongoing conversations meeting their knowledge needs reliably.

We focused on Social-Impact Funding, an area of need for over one million organizations in the US.

Published by KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningAugust 2020 Pages 2793–2801

Research Paper

Acoustic Measure for Real-Time Voice Coaching

Our voices can convey many different types of intent. How we say things is as important as what we say.

This paper presents methodologies for computing a set of physical properties from sound waves of a speaker's voice directly, referred to as acoustic measures. While preserving 100% of the user's privacy.

Based on our findings, a voice coaching app can guide users, in real-time, to modify their speech's auditory measures, such as rate of speech, energy level, and intonation, to achieve their intended communication goals.

Published by KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining August 2020 Pages 2755–2763

Research Paper

Economic Mobility, Voice, and Aging

This applied research paper builds on a previously published research paper: Acoustic Measures for Real-Time Voice Coaching – Real-Time Voice Coach with 100% user privacy, published by KDD in August 2020.

As a next step, we explore how aging affects our ability to connect with others properly. We are focused on finding insights that could become a baseline for enabling the creation of tools to assist aging individuals in their economic mobility and professional development. Insights could also inform social programs to mitigate subconscious biases that arise from our communication styles.

For publication in Q1 2021

artifacts & prototypes

Custom Search Engine

This prototype offers a custom search experience by aggregating data only from trusted sources selected by subject matter experts. This artifact aggregates around 137,000 insights from a handful of sources.

This is a basic foundation layer; a more sophisticated layer uses the power of a Domain-Specific Knowledge Graph - DSKG as per our applied research published by KDD in August of 2020.

An example of that DSKG in action can be seen in the Money Flow Interactive Tool at X4Impact

artifacts & prototypes

Is your Voice Engaging?

This artifact uses our patent-pending SUVOTEK technology.

Upload a short clip of your voice, speaking any language and you will get a visual representation of how engaging is your voice based on attributes such as energy level, fundamental frequency, intonation, pitch, and more.

  • This technology does not use speech-to-text transcription like the voice assistants from leading software companies or other speech coaching apps.
  • There is no audio recording, transcription, or human listening!
  • No Personal Identifiable Information is captured or required.

For practical application examples or for access to the SDK, please visit our incubation AI SENSA.

Share This