• Blog

Data Collection Quality: How to Ensure Data Quality

  • Source : SurveyCTO
  • 1 October 2022
This article shares actionable steps and best practices for ensuring data quality during digital data collection, including real-time checks and enumerator training. It discusses the importance of training data collectors to follow standardized procedures for data entry and ensuring that data is validated at the point of collection. The article also emphasizes the need for real-time data validation checks to catch errors early and prevent inaccurate data from being entered into the system. By following these best practices, organizations can ensure that their digital data collection efforts yield high-quality data that is reliable and useful for decision-making and program evaluation.
  • Blog

How One Organization Brought Discipline, Inclusivity, and Transparency to Its Decision-Making Process

  • Source : Bridgespan
  • 1 June 2022
This article explores the growing role of philanthropy in helping India achieve its Sustainable Development Goals (SDGs). It highlights how philanthropic investments are addressing key sectors such as education, health, gender equity, and urban development. The author argues that philanthropy must go beyond charitable giving to become a strategic partner in national development. This involves aligning with SDG frameworks, adopting data-driven approaches, and collaborating with government and civil society actors. The article also emphasizes the importance of accountability and measuring outcomes. It calls on donors to think long-term, fund system-level change, and support locally driven, inclusive development solutions.
  • Blog

How to Get Involved in Data Science for Social Good (DSSG)

  • Source : Omdena
  • 1 June 2022
This article serves as a guide for individuals interested in contributing to Data Science for Social Good (DSSG) initiatives. It outlines various pathways to involvement, including participating in collaborative AI projects, volunteering for non-profits, or joining specific DSSG programs. The piece emphasizes the importance of applying data science skills to address real-world social challenges, such as poverty, healthcare disparities, and environmental issues. It highlights the benefits of DSSG, including skill development, networking opportunities, and making a tangible positive impact on communities globally through data-driven solutions.
  • Blog

Discovering Public Health Issues With Data

  • Source : Tulane University School of Public Health and Tropical Medicine Blog
  • 1 June 2022
This blog post from Tulane University highlights the significant role of data in identifying and understanding public health issues. It discusses how the collection, analysis, and interpretation of health data can reveal trends, pinpoint at-risk populations, and inform effective interventions. The article emphasizes how data-driven insights are crucial for public health professionals to make informed decisions, allocate resources efficiently, and develop targeted strategies to improve community health outcomes and address pressing public health challenges.
  • Blog

How is Data Science revolutionizing the agriculture space?

  • Source : Khetibuddy
  • 1 May 2022
Data science is revolutionizing agriculture by enabling precision farming, optimizing resource use, and enhancing crop yields. This article explores how advanced analytics leverage data from sensors, drones, and satellite imagery to monitor soil health, predict weather patterns, and detect plant diseases early. Farmers can make informed decisions on irrigation, fertilization, and pest control, minimizing waste and maximizing productivity. Data-driven insights also improve livestock management and supply chain efficiency. This transformative approach leads to sustainable agricultural practices, increased food security, and improved livelihoods for farmers globally.
  • Blog

Women in Data Science: Where We Are, Where We're Going, and Why It Matters

  • Source : Online Degrees by University of San Diego
  • 1 April 2022
This blog discusses the growing importance of women in data science, highlighting current trends, challenges, and future opportunities. It stresses the need for increased gender diversity in data science and the role women play in shaping the future of this rapidly evolving field. The blog also discusses the efforts to close the gender gap and the benefits of having diverse perspectives in technology and data-driven industries.
  • 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.
  • 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.
  • 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.
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