• Media Article

How to use data analytics to improve quality of life

  • Source : VentureBeat
  • 1 April 2022
This article explores how data analytics can significantly enhance the quality of life across various domains. It discusses how insights from data are applied to personalize healthcare, optimize urban services like transportation and waste management, and improve educational outcomes through tailored learning experiences. Furthermore, data analytics aids in creating safer communities, fostering financial inclusion, and promoting environmental sustainability by optimizing resource use. By transforming raw data into actionable intelligence, it empowers individuals, organizations, and governments to make informed decisions that lead to more efficient, equitable, and fulfilling lives for all.
  • Blog

Early Adoption of AI in Family Planning Process

  • Source : Knowledge SUCCESS
  • 1 April 2022
This blog post discusses the early adoption of Artificial Intelligence (AI) in family planning programs. It explores how AI technologies are being utilized to enhance the efficiency and effectiveness of family planning services, potentially improving access to information and resources. The article highlights specific applications of AI, such as predictive analytics for demand forecasting or personalized communication strategies, demonstrating how these innovations can contribute to better health outcomes and more informed choices in family planning.
  • Case Study

Blended Finance in the Water Sector

  • Source : World Water Council
  • 1 March 2022
This compendium highlights successful blended finance projects in the water sector, showcasing effective combinations of public funding, private investment, and philanthropic support. The case studies cover diverse areas such as watershed restoration, sanitation infrastructure, and innovative water service delivery models for communities. Drawing lessons from these real-world examples, the report provides insights on critical success factors, including robust governance structures, strong stakeholder engagement, and scalable financial mechanisms. It offers a practical guide for financing improved water security and sanitation services on a global scale.
  • Academic / Journal Article

A Tool for Reading Scientific Text and Interpreting Metadata from the PDF Documents

  • Source : Journal of Chemical Information and Modeling (ACS Publications)
  • 1 March 2022
This article introduces PDFDataExtractor, an open-source, template-based plug-in for ChemDataExtractor that uses spatial layout and rule-based methods to extract logical text blocks and metadata from scientific PDFs. The tool is designed to extract key elements like titles, authors, abstracts, keywords, DOI, and references from scientific documents, facilitating downstream text mining and data-driven materials discovery. Evaluated on multisource chemistry journals, the tool demonstrates high precision and recall, making it a valuable resource for researchers and organizations that need to extract, organize, and analyze large volumes of scientific literature efficiently.
  • Blog

What data science can do about our mental health state of emergency

  • Source : ICF
  • 1 March 2022
This article explores the critical role of data science in addressing the escalating mental health crisis. It highlights alarming statistics on mental illness prevalence and treatment gaps in the U.S., particularly among young people. The author posits that many mental health challenges are inherently data science challenges. By leveraging data science tools, technologies, and frameworks, there are significant opportunities to advance understanding, predict risk factors, prevent disorders through early intervention, and improve access to and effectiveness of mental health treatments.
  • Blog

Water and sanitation data can help us to ensure no one is left behind

  • Source : UNDP
  • 1 March 2022
This UNDP article highlights how robust water and sanitation data are essential to achieving universal access and ensuring no one is left behind. It discusses the global challenges of water scarcity and inadequate sanitation, exacerbated by population growth, urbanization, and climate change. The piece emphasizes that better data collection, analysis, and utilization can inform targeted interventions, improve infrastructure, and monitor progress toward Sustainable Development Goals (SDGs) related to water and sanitation. This data-driven approach is critical for equitable and sustainable resource management.
  • Media Article

The Impact of Data Science on the Energy Industry

  • Source : Modern Diplomacy
  • 1 March 2022
This article discusses the profound impact of data science on the energy industry, emphasizing its role in enhancing efficiency, optimizing resource allocation, and driving innovation. While the current content on the provided URL primarily discusses digital infrastructure as a national security priority, the context implies that data science is critical to managing and securing modern energy systems. Data-driven insights are essential for navigating complexities in energy production, distribution, and consumption, contributing to both operational improvements and strategic resilience.
  • Media Article

Machine learning and phone data can improve targeting of humanitarian aid

  • Source : Nature
  • 1 March 2022
This article highlights how machine learning, combined with mobile phone data, can significantly enhance the targeting and delivery of humanitarian aid. By analyzing anonymized call detail records and other phone usage patterns, researchers can identify vulnerable populations and assess their needs more accurately and efficiently. This approach allows aid organizations to allocate resources more effectively, ensuring that assistance reaches those who need it most in times of crisis.
  • Blog

Leveraging Data Science To Improve Agronomy

  • Source : Analytics India Magazine
  • 1 March 2022
This article discusses how data science is revolutionizing agronomy by providing powerful tools for optimizing agricultural practices. It covers applications such as precision farming, yield prediction, disease detection, and resource management, leading to increased efficiency and sustainability. By analyzing vast datasets, farmers and agronomists can make more informed decisions, enhancing productivity and mitigating risks in the agricultural sector. The piece highlights data science’s role in a more data-driven and efficient agriculture.
  • Case Study

Reimagining Healthcare in India through Blended Finance

  • Source : NITI Aayog and Samridh Healthcare Blended Finance Facility
  • 1 February 2022
This whitepaper explores the potential of blended finance to reimagine healthcare in India, aligning with sustainable development goals. It identifies critical funding gaps in the Indian healthcare sector and proposes blended finance as a viable mechanism to attract private capital alongside public funds. The report outlines various blended finance structures, case studies from India, and key considerations for scaling such initiatives to achieve improved health outcomes and financial sustainability across the nation.
We use essential and analytics cookies to operate this website and understand how visitors interact with it. As this site also functions as a login identity provider (IDP) for other ISDM portals, some cookies are necessary to enable secure authentication. By continuing to use this site, you consent to our use of cookies.
Accept & Continue