Data science boom has paved the way for resolving complex problems and drive innovation. The advancements made in mathematics, computing capability and data storage by data science is used by developed countries to improve and stabilize their economy. These countries are using technologies like machine learning, artificial intelligence, and big data analytics for economic improvement. Data science has often come under fire for unethical use but when properly it can help solve society’s most complex environmental issues.
Here are the five data science projects ethically using big data:
1) Solving the drought struggle
Rural areas struggling from a long-term drought in Australia were in distress. Additionally, the massive population of Australia didn’t make it easy for social activists to resolve the issue. Social media data and the Australian Red Cross came into play to identify specific locations for volunteering and charity activity located around Melbourne Central Business District (CBD). The data gathered from social media can help local aid organizations to pinpoint the locations and collaborate with other organizations to help people in times of acute need.
2) Improving fire safety in homes
Maintaining fire safety is a critical issue. To prevent random fire incidents, accessing right data in the proper form is a constant challenge and getting hands on quality data to mitigate fire risk is tough. Targeting houses without fire alarms is crucial to reduce fire risks, but there is a lack of reliable source of information. A US-based startup has built open data tools to model and pinpoint individual neighborhoods. Their model effectively combines national census data with a geocoder tool and analytics based on a local fire incident data to provide a risk score to reduce risks.
3) Locating police violence
Ordinary citizens generate social media data. Many crowdsourced open mapping projects exist, but the real task is to evaluate the data and to comprehend it. Mapping Police Violence project in the US tracks and comprehends police violence. Data is gathered from a mix of obituaries, social media, criminal records databases, and police reports. The project highlights the problem after collecting the data.
4) Waste management optimization
Internet of Things provides smart solutions by interconnected devices that gather data, and when fused with cloud-based analysis and computing, these devices leap further. Australia based startup has placed solar-powered bins all around the city that regularly compresses the garbage inside throughout the day. The bins eliminate waste overflow and reduce unnecessary carbon emissions. CLEAN, a cloud-based data management portal analyzes the data in real-time and prepares reports. Once the data is analyzed, it identifies trends in waste overflow and then helps in bin replacement and planning of garbage collection services.
5) Reduce sexual harassment
An Egypt-based startup has developed a platform to reduce sexual harassment in the community. The platform uses anonymized, crowdsourced data to locate harassment incidents that happen in the street and to warn its users of potentially unsafe areas. Essential data science techniques like mapping and informing are used in this platform.