USABy The Trevor Project
The Trevor Project, the world’s largest suicide prevention organization for LGBTQ youth, will receive a $1.5M USD grant to incorporate machine learning and natural language processing into its crisis services, which save young LGBTQ lives by supporting them via phone, chat, and text. With Google’s help, The Trevor Project will be able to assess suicide risk level of youth in crisis more quickly, allowing counselors to better tailor their support and to provide relevant resources and consistent quality of care.
The IBM Social Good Fellowship is an opportunity for graduate students and postdoctoral scholars to develop their skills and develop data science solutions that benefit humanity. Mentored by leading IBM Research scientists and engineers at the T. J. Watson Research Center in Yorktown Heights, NY (north of New York City), fellows use data mining, machine learning, analytics, operations research, statistics, and mobile computing methods to complete projects with social impact.
UKWith Joseph Cook et al.
Joseph Cook, polar scientist from the United Kingdom, hopes to develop tools that use AI and drone and satellite technology to explore the changing cryosphere.
USABy Descartes Labs
With Phil Fraher et al.
The Fire-detecting tool from Descartes Labs samples images from government weather satellites every two minutes, comparing the images for differences. If there is any difference in the thermal signals in a region, it could potentially indicate the presence of a wildfire.
OugandaWith Ketty Adoch et al.
Ketty Adoch, geographical information systems specialist from Uganda, is working on a project that will detect, quantify, and monitor changes in land cover in the area surrounding Lake Albert and Murchison Falls National Park, Uganda’s largest and oldest national park.
USABy Natural Capital Project at Stanford
With Gretchen Daily et al.
Gretchen Daily, cofounder and faculty director of the Natural Capital Project at Stanford, will develop a way of detecting dams and reservoirs around the world to measure their impact.
EuropeBy Horizon 2020
DeepTech4Good is an Acceleration Programme, financed under the Horizon 2020 framework, committed to help Deep Tech startups accelerate their development and scale up at European level. 4 application domains: Health & Well-being, Industry 4.0, Smart Mobility, Smart City.
USABy Wildlife Guardians
With Stephanie Dolrenry et al.
Stephanie Dolrenry, director of Wildlife Guardians, will help support the Lion Identification Network of Collaborators, an AI-assisted database for lion identification and interorganizational research.
With Guillaume Chaslot et al.
We want to see which information the YouTube algorithm is showing to people. This algorithms is responsible for more than 700,000,000 hours of watch time every day, and it is not fully understood, even by the people who build it.
The offer is aimed at those who want to carry out the project that, with the help of artificial intelligence (AI), contributes to Sweden having no net emissions of greenhouse gases by 2045 or to adapt society to the climate changes we cannot prevent. The call for proposal is a joint effort by Vinnova and Formas.
We impact the world in two ways: Support social good organizations with AI technologies and expertise to accelerate their positive work in the world. Research and support efforts to ensure AI is more transparent, less biased, and more accessible to all.
AI for Health, a new $40 million, five-year program to empower researchers and organizations with AI to improve the health of people and communities around the world. The program is underpinned with a strong foundation of privacy, security and ethics, and was developed in collaboration with leading health experts who are driving important medical initiatives. AI for Health is the fifth Microsoft AI for Good program, a $165 million initiative to empower researchers, nonprofits and organizations with advanced technologies to help unlock solutions to the biggest challenges facing society today.
USABy Gramener AI Labs
With Ganes Kesari et al.
At Gramener, we take pride in our work on ‘AI for Social Good.’ We work with state-of-the-art techniques in areas such as computer vision, geo satellite analytics, natural language processing and data storytelling. We apply these techniques to solve problems in environmental conservation, to protect biodiversity and to tackle humanitarian challenges.
The AI for Good 2020 accelerator program helps purpose-driven ventures in Israel advance their AI solutions to create positive social transformation. Microsoft for Startups Israel and TechForGood will be selecting 12 organizations committed to a social mission to join this fourteen-weeks program.
Shapash is a Python library which aims to make machine learning interpretable and understandable by everyone. It provides several types of visualization that display explicit labels that everyone can understand.