• Blog

Leveraging Evidence, Technology, and Outcomes-based Financing for Learning in Govt Schools

  • Source : Financial Express
  • 2 January 2023
This article explores how evidence-based practices, technological integration, and outcomes-based financing can transform public education in India. It emphasizes that linking funding to measurable results incentivizes schools to adopt effective pedagogical methods and innovative solutions. The authors suggest that by focusing on outcomes, rather than just inputs, and utilizing technology for better data collection and delivery, India can significantly enhance the quality of learning in government schools and ensure more impactful educational investments.
  • Blog

To Dib or Not to Dib

  • Source : IDR Online
  • 1 January 2021
The “Enterprises by Business Size” dataset presents structural business statistics by firm size, categorized under ISIC Rev.4 standards. It provides comprehensive metrics on the number of enterprises and employment distribution across micro, small, medium, and large firms. Designed for policy analysis, the dataset supports examinations of SME contributions to economic growth, innovation, and employment. It also contextualises how business demographics interact with macroeconomic indicators and informs comparative studies across countries and regions.
  • Blog

Blending with Guarantees: Hope or Hype

  • Source : Convergence Finance
  • 1 July 2019
This blog post by Justice Johnston explores the effectiveness and potential of using guarantees as a blended finance instrument. It likely discusses whether guarantees truly de-risk investments and attract private capital into development initiatives, or if their impact is overstated. The author probably delves into the mechanics of guarantees, their advantages in mobilizing finance, and the potential pitfalls or limitations. The piece aims to provide a nuanced perspective on guarantees within the blended finance landscape, helping practitioners understand when and how to best utilise this tool for maximum impact.
  • Blog

Towards a Carbon Data Science

  • Source : Henley Business School
  • 1 March 2016
This paper explores the concept of Carbon Data Science, highlighting the need for integrated carbon datasets and advanced analytics to address climate change challenges. It outlines methods to harmonise environmental data for better carbon accounting and policy formulation. The authors propose frameworks for leveraging data science in emission tracking, financial modelling of green investments, and sustainable resource allocation. This interdisciplinary approach combines climate science, finance, and data analytics to support global efforts in reducing carbon emissions and achieving sustainability goals.
  • Blog

Using AI to Identify Plastic Pollution and Expedite Ocean Cleanup

  • Source : Xyonix Blog
  • 1 January 2022
This blog post explains how artificial intelligence is used to detect and combat plastic pollution in oceans. It describes the development of machine learning models trained on satellite and drone imagery to identify pollution hotspots and accelerate cleanup initiatives. The technology enables faster, scalable detection of plastic debris, helping organisations prioritise areas for intervention. The article also addresses the environmental benefits of AI-powered ocean conservation.
  • Blog

Using AI to Improve Maternal and Child Health in India

  • Source : Observer Research Foundation
  • 2 February 2023
This blog explores the potential of Artificial Intelligence (AI) to transform maternal and child health outcomes in India. Highlighting India’s challenges with high maternal and infant mortality rates, the authors discuss how AI-based systems can enable early diagnosis, personalised care, and improved resource allocation. It also outlines ethical concerns and the need for robust data systems, privacy safeguards, and health system integration to maximise AI’s impact. The piece calls for collaboration between public, private, and research institutions to drive AI-enabled health innovation.
  • Blog

Using Big Data to Tackle the Air Pollution Problem

  • Source : University of Manchester Blog
  • 1 May 2022
This blog discusses how big data can be used to combat air pollution in urban areas. It presents evidence from the Manchester Urban Observatory, where researchers use real-time data to identify pollution hotspots, model emission trends, and influence policy decisions. The post argues that big data, coupled with targeted interventions and citizen engagement, can help design more resilient cities. It stresses the importance of data transparency, open access, and inter-agency collaboration for scalable environmental solutions.
  • Blog

The Use of Data Science for Education: the Case of Social-emotional Learning

  • Source : Springer Open
  • 2 January 2017
This blog post explores the role of data science in enhancing social-emotional learning (SEL) within educational settings. By analysing behavioural and emotional data, it highlights how predictive analytics can support early identification of students needing intervention. The post discusses the development of data-driven tools to monitor emotional wellbeing and inform personalised SEL programs. It also considers ethical considerations in collecting and using sensitive student data. The case exemplifies how integrating SEL metrics into data science practices can improve holistic education outcomes and foster emotionally intelligent learning environments.
  • Blog

Using Data for a Resilient Future

  • Source : UNDP India Blog
  • 2 December 2021
This blog explores how data-driven strategies are fostering resilience across India, focusing on climate action, public service delivery, and urban planning. It highlights collaborative models between government and private entities, leveraging digital tools, open data, AI, and big data platforms to anticipate crises and improve long-term planning. Case examples show how integrated systems can predict trends, improve decision-making, and ensure sustainable development outcomes. The blog calls for equitable data access and innovation for inclusive resilience-building.
  • Blog

Using Data Science to Combat Poverty

  • Source : Newswise
  • 1 October 2021
This article presents how researchers at Empa are applying data science to fight poverty. By analysing complex socio-economic indicators and geospatial data, their models identify hidden patterns of deprivation and inform targeted interventions. The blog emphasises the importance of accurate, disaggregated data to design inclusive social policies and resource allocations. It showcases real-world examples of how data can support governments and organisations in anticipating needs, directing funding, and evaluating programme outcomes for poverty reduction.
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