Data science is used to "unify statistics, data analysis, machine learning and their related methods" to "understand and analyze actual phenomena" using data. (Hayashi, Chikio, 1996. "What is Data Science? Fundamental Concepts and a Heuristic Example").
To improve the study of the impact of the internet on democracy by increasing the scale, quality and availability of social media data
December 11-13 2020
Data as protest. Data as accountability. Data as collective action.
Innovating for democracy
Future Cities Catapult has developed a City Data Sharing Toolkit. The toolkit includes tools, approaches and resources for local authorities sharing non-personal data.
In a cross-sector partnership led by the International Center for Tropical Agriculture (CIAT) and the Colombian Ministry of Agriculture, The Clima y Sector Agropecuario Colombiano (Colombian Climate and Agricultural Sector; CSAC) provides meteorological data to farmers along with data on the economics and agronomy of rice cultivation.
to address the inefficiencies of developing contractual agreements for public-private data collaboration
Supernormal is an architecture, urban design, and research firm investigating the inevitable overlap of cultural and digital practice.
data.org brings together philanthropy, private sector technology, academia, and social impact organizations to build the field of data science for social impact.
The Dangerous Speech Project was founded in 2010 to study speech (any form of human expression) that inspires violence between groups of people – and to find ways to mitigate this while protecting freedom of expression.
Uptake.org leverages Uptake's people, technology and expertise to address the world's most pressing problems.
The ride-hailing company is working with DC to share data—and the much coveted curb.
As of October 2014, the Yale University Open Data Access (YODA) Project is enabling scientists across the world to gain access to the company’s clinical trial data assets.
Flowminder Foundation is a registered non-profit entity based in Stockholm, Sweden, Our mission is to improve public health outcomes by working with NGOs and government agencies with method development, capacity building, and implementation and scaling of processes relating to collecting, aggregating, analyzing, and disseminating anonymized mobile phone location data and satellite data.
Intel is working with University of California, Davis, to perfect irrigation techniques by placing sensors in crops and other strategic areas to monitor soil and air moisture levels.
A report on innovations attempted by Mobile Network Operators following the major earthquake in Nepal
Open Cities Lab is a non-profit open and non-partisan organisation that combines the use of action research, co-design, data science, and technology with civic engagement, to enable the development of inclusive cities and urban spaces.
Metro is the largest active transportation dataset on the planet.
The Housing Data Coalition (HDC) is a group of individuals and organizations who collaborate on their use of public data to further housing justice in New York City.
Catalist compiles, enhances, stores, and dynamically updates data on over 256 million unique voting-age individuals across all 50 states and the District of Columbia. Working with Catalist can help you build membership, target persuasive messaging, engage activists, drive an issue agenda, and register or mobilize voters.
Restaurant hygiene scores from the City of San Francisco will be imported onto Yelp business pages
Mapping Hard to Count (HTC) Communities for a Fair and Accurate 2020 Census
Our mission is to maximize the availability and impact of data for public good.
Researchers used satellite and cell phone data to map how malaria spreads throughout Namibia and show where elimination efforts have the greatest impact.
Preteckt studies vehicle data from buses to predict system failures at least 48 hours before the Check Engine light is activated and the bus must be removed from service. Preteckt’s insights have the potential to reduce time spent on maintenance, prevent service disruptions and reduce fleet costs.
The conference will connect leaders and practitioners to explore how non-profits are adapting and excelling in an increasingly data-driven world.
Supernormal explored an algorithm that integrates social equity as a key variable in prioritizing infrastructural replacements and repairs.
We make local policy information accessible and byte-sized, with a weekly email of your community board’s most recent meeting highlights and transcript data.
We collaborate with governments to facilitate better discovery of data, to make data available while protecting privacy, and to perform advanced analytics on data.
Data Science for Social Good Fellowship is a University of Chicago summer program for aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more. For three months in Chicago they learn, hone, and apply their data science, AI,analytical, and coding skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry and academia.
Automated monitoring, issue management, analysis and reporting of political affairs.
We solve your toughest challenges with expert data science – for businesses, campaigns, and government.