DS4CG 2020 Projects
Data Science for the Common Good 2020 runs from May through August.
AMC is one of the leading science-based environmental conservation organizations on the East Coast and has ambitious goals to reduce its carbon footprint. The AMC project focuses on developing and testing new methods of measuring and predicting carbon emissions associated with guest travel and operation of AMC facilities, such as lodges, camps, cabins, and staff quarters. The fellows will develop models and visualizations of guest usage and staff operations, and implement prototype software modules that support decision-making related to energy savings, enabling AMC to both reduce and offset their carbon footprint in a data-driven manner.
AuCoDe is a startup company that automatically detects and analyzes online controversies. The AuCoDe team will explore applications of controversy detection technology on misinformation surrounding the COVID-19 pandemic found in public forums. By examining news coverage and public social media discourse using AuCoDe’s controversy detection technology, the DS4CG team will identify signals to detect, track, and understand the dynamics of coronavirus-related misinformation online and better inform the public.
The Department of Veterans Affairs (VA) operates one of the largest integrated healthcare systems in the United States. While it maintains a large repository of electronic health records, this raw data does not lend itself to analysis and research purposes. The VA project will focus on developing and validating algorithms to automatically extract characteristics and features from the data, such as diseases, treatments, and biomarkers. The project may also involve processing narrative data from physician notes. This work will help the VA generate insights into the treatment and care of patients.
Associate Professor Eric Poehler of the UMass Classics department has thousands of photographic images of frescoed walls in Pompeii, the ancient city that was buried after the eruption of Mt. Vesuvius nearly 2,000 years ago. Each image has captions describing the objects included and other features. The Pompeii team will develop models to identify objects in the images, and then search images for objects that may not be mentioned in the captions. The team will also work on detecting unlabeled objects in images such as scaffolding or unwanted signage. The project results will vastly increase researchers’ ability to analyze and understand the archeology of Pompeii.
2019 DS4CG Completed Projects
The Charles River Watershed (CRWA) team analyzed 25 years’ worth of water-quality data collected by citizen scientists, to identify patterns and trends in the levels of E. coli, phosphorus, and chlorophyll. The results will inform policies that promote responsible watershed management and a healthy river ecosystem.
The Greater Holyoke YMCA team analyzed membership and program participation data in order to predict membership churn. The results will help predict members at risk of dropping their membership, giving the YMCA the opportunity to proactively assess and respond.
The Massachusetts Department of Public Health (DPH) team aggregated data from disparate sources to develop risk assessment scores at the city/town level. The results will help the DPH deploy resources more effectively and efficiently, in areas that need them most.
The Metropolitan Area Planning Council (MAPC) team worked on enhancing a forecasting technique originally developed at Northeastern University to project scenarios about future populations, enhancing its efficiency, ease of use, and breadth of applicability. The results will help MAPC to better serve the cities and towns that rely on their expertise for municipal planning.
The Nature Conservancy (TNC) team devised a tool using a computer-vision algorithm to automatically detect whether or not a photograph contains an animal. TNC can apply this tool to photographs captured by remote motion-sensitive cameras placed in the wild, in order to monitor wildlife corridors and better guard against animal-vehicle collisions on roadways.
The Springfield Public Schools (SPS) team combined student data with college-enrollment data from a national clearinghouse to identify factors contributing to identify factors contributing to post-secondary school success.The results will help SPS fulfill their mission of graduating students who are college and career ready.