• Academic / Journal Article

Survival of the Richest: The India story

  • Source : Oxfam
  • 1 January 1970
Oxfam India’s "Survival of the Richest: The India Supplement" reveals stark findings on widening inequality in India, demonstrating how the gap between the rich and the poor continues to grow. The report highlights that the wealthiest accumulate significant fortunes while the majority struggle, exacerbated by regressive tax policies. It advocates for progressive tax measures and wealth redistribution as crucial strategies to combat this escalating inequality and foster a more equitable society, urging policy changes to ensure a fairer distribution of wealth and opportunities.
  • Paper / Report

India's Million Missions: 75 Years of Service Toward Nation-Building

  • Source : Catalyst 2030
  • 1 January 1970
This report, published by Catalyst 2030, provides an in-depth analysis of the Indian social sector’s profound impact on national development over 75 years. It celebrates the extensive contributions of civil society organizations across all Sustainable Development Goals, highlighting their role in poverty alleviation, economic growth, and community empowerment. The report emphasizes how these organizations serve as crucial problem-solvers, innovators, and job creators, often piloting scalable solutions adopted by the government, and promoting grassroots engagement to ensure inclusive progress and leave no one behind.
  • Paper / Report

Landscape Inception Report

  • Source : ISDM
  • 1 January 1970
This article provides an overview of the current landscape related to data quality and data management practices in social sector projects. It highlights the challenges faced by organizations in ensuring that their data is accurate, reliable, and usable for decision-making. The article discusses the importance of implementing strong data governance frameworks, capacity-building initiatives, and data quality assurance processes to improve data management. It also identifies key gaps in existing practices, offering recommendations for improving data collection, validation, and reporting standards.
  • Media Article

Data Science and Social Impact in India

  • Source : LinkedIn Article
  • 1 January 1970
This article explores how data science is driving social impact in India by improving data quality, enabling analytics, and promoting evidence-based decision-making. It discusses the growing importance of data science in sectors such as healthcare, education, and governance, where high-quality data is essential for making informed decisions that lead to tangible social outcomes. By enhancing data quality and analytical rigor, data science is helping organizations better understand societal challenges and develop more effective interventions. The article highlights case studies from across India, illustrating how data-driven approaches have led to improvements in public services and social welfare.
  • Blog

Data Quality Tools Comparison

  • Source : AIMultiple
  • 1 January 1970
This article compares several popular data quality tools, analyzing their features, benefits, and suitability for different organizational needs. It evaluates each tool based on its capabilities for measuring and improving data quality across key dimensions such as accuracy, completeness, and consistency. The article provides valuable insights for organizations looking to select the most appropriate tool for their specific data systems, helping them to optimize data management practices. By choosing the right data quality tool, organizations can ensure that their data supports informed decision-making and contributes to better program and organizational outcomes.
  • Blog

Predicting Life Expectancy using Linear Regression

  • Source : American Chemical Society (ACS) Publications
  • 1 January 1970
This blog post delves into the application of linear regression, a fundamental machine learning algorithm, to predict life expectancy. It discusses the various socio-economic, health, and environmental factors that can influence life expectancy and how these factors can be incorporated into a linear regression model. The article likely outlines the steps involved in data collection, preprocessing, model training, and evaluation, providing a practical example of how data science can be used to analyze and forecast demographic trends.
  • Academic / Journal Article

Machine Learning and Data Science in Politics

  • Source : MIT
  • 1 January 1970
This paper explores the applications of machine learning and data science within the political sphere. It examines how these technologies are used for political representation, voter analysis, campaign strategies, and policy forecasting. The document provides insights into the methodological approaches and ethical considerations involved in leveraging data-driven techniques to understand and influence political processes. It highlights the growing importance of data science in modern political discourse and decision-making.
  • Blog

The Impact of Poor Data Quality for the Public Sector

  • Source : Medium Article
  • 1 December 2023
This blog explores how poor data quality undermines public sector programs and policymaking, highlighting the detrimental effects on governance, social services, and overall societal outcomes. It advocates for investment in data governance and quality improvement initiatives to address these issues. The piece emphasizes that without quality data, public sector programs are at risk of making decisions based on flawed or incomplete information, leading to ineffective policies and wasted resources. By improving data management practices, public sector organizations can enhance their ability to serve communities, promote transparency, and create lasting positive change.
  • Media Article

Girls in data: Inspiring the future of female data science

  • Source : Open Access Government
  • 1 December 2023
This article highlights the significant underrepresentation of women in data science and emphasizes the importance of diversity for creating unbiased and inclusive AI solutions. It discusses initiatives to empower women, such as early education, mentorship, inclusive work cultures, and scholarships. The piece also celebrates the achievements of trailblazing women in Indian data science, underscoring the potential for innovation when women are supported in the field. Ultimately, it advocates for a holistic approach to bridge the gender gap and unlock the full potential of data science for a more equitable future.
  • Blog

Data Science in Healthcare: How It Improves Care

  • Source : Springboard
  • 1 May 2023
This blog post from Springboard explores how data science is improving patient care within the healthcare sector. It delves into applications such as enhancing diagnostic accuracy, personalizing treatment plans, predicting disease outbreaks, and optimizing resource allocation in hospitals. The article emphasizes how data-driven insights lead to more effective and efficient healthcare delivery, ultimately benefiting patients. It illustrates the practical ways in which big data and analytics are being utilized to make healthcare more proactive, precise, and patient-centric.
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