• Blog

How data science lets us do more than just chew the fat on pet obesity

  • Source : LinkedIn Pulse
  • 1 October 2020
This article highlights how data science is crucial for understanding and combating pet obesity, moving beyond anecdotal observations to data-driven insights. It explains how analyzing factors like breed, age, diet, activity levels, and medical history helps identify at-risk pets and tailor intervention strategies. Data science enables the development of personalized nutritional plans and exercise recommendations, monitoring their effectiveness over time. By providing veterinarians and pet owners with actionable information, data science supports proactive health management, leading to improved well-being and longevity for pets, and ultimately reducing the prevalence of pet obesity.
  • Paper / Report

Centre for Strategic Philanthropy: A Conversation with Badr Jafar and Bill Gates

  • Source : CEP
  • 1 September 2020
This video presentation provides an overview of how philanthropy acts as a driver of social change by funding innovative solutions and building community capacity. It features experts discussing examples of effective philanthropic initiatives, challenges in measuring impact, and the future trends in strategic giving. The video emphasizes collaboration, transparency, and adaptability as keys to successful philanthropy.
  • Case Study

Sustainable Finance: An Overview

  • Source : GIZ
  • 1 September 2020
This overview defines sustainable finance and highlights its relevance for the financial sector from sustainability, risk, and efficiency perspectives. It emphasizes the need for unprecedented financial resources from both public and private sectors to achieve national and international sustainable development targets. The document assesses how the financial sector can mobilize and allocate capital for this transition, stressing the importance of appropriate policy and regulatory frameworks, and the integration of sustainability risks in investment decisions. It also examines current developments and future outlooks.
  • Blog

Role of Big Data Analytics in Solving Water Problems

  • Source : E3S Web of Conferences
  • 1 September 2020
This Medium blog post delves into the pivotal role of big data analytics in addressing pressing global water problems. It discusses how analyzing diverse datasets related to water quality, consumption patterns, infrastructure, and climate can lead to more efficient water management, pollution control, and resource optimization. The article likely explores applications such as leak detection, smart irrigation, water scarcity prediction, and early warning systems for contamination, showcasing the power of data-driven solutions in ensuring sustainable water resources.
  • Academic / Journal Article

Geographic Distribution of US Cohorts Used to Train Deep Learning Algorithms

  • Source : JAMA Network
  • 1 September 2020
This article investigates the geographic distribution of US cohorts utilized in training deep learning algorithms, particularly in medical imaging and diagnostics. It reveals a significant imbalance, with most cohorts originating from a limited number of states, potentially leading to algorithmic bias and reduced generalizability across diverse populations. The study emphasizes the critical need for more geographically diverse datasets to ensure fairness, accuracy, and equitable performance of AI in healthcare applications nationwide.
  • Media Article

A Practical Guide to Using Routine Data in Evaluation

  • Source : Data for Impact Project
  • 1 August 2020
This guide offers practical strategies for using routine data in program evaluation, focusing on improving data quality and analytical rigor. It emphasizes the importance of integrating routine data into evaluation frameworks and outlines best practices for data analysis, interpretation, and incorporation into decision-making processes. By strengthening the quality of routine data, the guide helps organizations develop more robust evaluations, leading to better program outcomes and more evidence-based decision-making. The guide is particularly useful for development and health programs aiming to build stronger data-driven approaches to monitoring and evaluation, ultimately improving the impact of their interventions.
  • Case Study

Social Impact Investment -Building the Evidence Base

  • Source : OECD
  • 1 July 2020
This report from the OECD examines strategic investment funds (SIFs) and their potential to enhance the effectiveness of public expenditure programs while attracting private capital. It discusses the various sources of capital for SIFs, their operational structures, and the fiscal implications and risks involved, such as budget transfers and potential insolvency. The paper offers recommendations on investment types, funding, withdrawals, dividends, and macro-fiscal aspects, aiming to build a stronger evidence base for social impact investment.
  • Blog

Data Science in the Indian Agriculture Industry

  • Source : Analytics Vidhya
  • 1 July 2020
This article explores the growing role of data science in revolutionizing the Indian agriculture industry. It details how data-driven insights are being utilized to address various challenges, from optimizing crop yield and managing irrigation to predicting market prices and mitigating risks. The piece highlights specific applications such as precision agriculture, disease detection, and supply chain optimization. By leveraging data analytics, Indian agriculture can achieve greater efficiency, sustainability, and profitability, ultimately contributing to food security and farmer welfare.
  • Case Study

The India Impact Investing Story

  • Source : IIC
  • 1 June 2020
This study provides a comprehensive analysis of the impact investment landscape in India from 2010 to 2019, based on a bottom-up database of venture deals in social enterprises. It highlights India’s emergence as a key player, with impact investments growing at a 26% CAGR to cumulatively raise $10.8 billion for over 550 enterprises. The report outlines six core characteristics defining impact investing in India, emphasizing its role in supporting inclusive growth by providing quality services and employment to low-income populations through affordable models.
  • Case Study

RSF Social Finance's Social Enterprise Lending Prgram

  • Source : Pacific Community Ventures
  • 1 June 2020
This case study examines RSF Social Finance’s lending program designed for social enterprises. It analyzes the program’s structure, its approach to evaluating social businesses, and its role in providing impact investment opportunities. The study highlights how RSF navigates the complexities of social finance and regulation to support organizations that prioritize both financial and social returns, offering insights into effective financial stewardship and operational management within the social sector.
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