• Blog

Data Science in Agriculture – Advancing Together & Benefiting Farmers

  • Source : DataFlair
  • 1 October 2021
This blog post delves into the benefits of applying data science in agriculture, emphasizing how it helps farmers and advances the sector. It covers topics such as smart farming techniques, disease detection in crops, soil analysis, and supply chain optimization using data-driven insights. The article illustrates how data science contributes to increased productivity, reduced operational costs, and sustainable agricultural practices. It underscores the collaborative effort required to integrate technology and data for the betterment of farming communities and food security.
  • Academic / Journal Article

Data science for analyzing and improving educational processes

  • Source : Springer
  • 1 October 2021
This article explores the application of data science to enhance educational processes. It discusses how educational data mining and learning analytics can be used to understand student behavior, predict academic performance, and personalize learning experiences. The focus is on leveraging data-driven insights to optimize teaching methodologies, improve curriculum design, and ultimately boost student engagement and success. The paper highlights various techniques and challenges in implementing data science solutions within educational institutions, emphasizing the potential for significant improvements in educational outcomes through analytical approaches.
  • Case Study

Setting critical learning targets for a cutting-edge Development Impact Bond

  • Source : India development review
  • 1 September 2021
This case study details the process of setting critical learning targets for the Quality Education India Development Impact Bond (QEI DIB). It explains how the DIB aims to improve grade-appropriate learning outcomes for over 200,000 students by funding high-performing service providers. The study highlights robust performance management, engagement with education providers, and flexible outcomes-focused financing as key drivers of success, demonstrating how DIBs can deliver better value for money by paying for results.
  • Case Study

RU Social Financing Framework

  • Source : Reykjavik University
  • 1 September 2021
This framework outlines Reykjavik University’s approach to social financing, demonstrating its commitment to sustainability and responsible investment. It details the principles and processes for evaluating, selecting, and reporting on projects that generate positive social impact. The document emphasizes transparent financial stewardship and ethical governance, ensuring that capital is directed towards initiatives that align with the university’s values and contribute to sustainable development, particularly in education and skill development.
  • Academic / Journal Article

Plastic pollution in water ecosystems: A bibliometric analysis from 2000 to 2020

  • Source : ScienceDirect
  • 1 September 2021
This paper presents a bibliometric analysis of research on plastic pollution in water ecosystems from 2000 to 2020. It systematically reviews the scientific literature to identify trends, key research areas, influential authors, and emerging topics in the field. The analysis provides a comprehensive overview of the academic landscape concerning plastic waste in aquatic environments, shedding light on the increasing scientific attention to this critical environmental issue.
  • Academic / Journal Article

Life Expectancy: Prediction & Analysis using ML

  • Source : ResearchGate
  • 1 September 2021
This research paper focuses on predicting and analyzing life expectancy using machine learning techniques. It delves into various factors influencing life expectancy, such as socioeconomic indicators, health conditions, and lifestyle choices. By employing different machine learning models, the study aims to identify the most significant determinants and provide accurate predictions, offering valuable insights for public health policy and intervention strategies. The work demonstrates the power of ML in understanding complex demographic trends.
  • Blog

Impact of Data Science in our Society

  • Source : University of Notre Dame
  • 1 September 2021
Data science serves as a vital tool across numerous industries, driving innovation, enhancing customer experiences, and improving healthcare. It empowers individuals and organizations to make informed decisions, solve complex problems, and discover new insights. The field is characterized by high demand and low supply of skilled professionals, offering versatile career paths with the potential for significant societal impact, from early disease detection to optimizing logistical routes and combating fraud. Data science leverages statistical, computational, and storytelling abilities to transform raw data into actionable intelligence.
  • Video

The emergence of purposeful philanthropy

  • Source : YouTube
  • 1 August 2021
This video explores the concept of "purposeful philanthropy" through the insights of various leaders in the social sector. The discussion likely revolves around a more strategic and impactful approach to charitable giving, moving beyond traditional forms of donation to embrace intentionality, measurement, and systemic change. The speakers, including CEOs and founders from organizations like Teach for India and Bain Capital Private Equity, offer diverse perspectives on how philanthropy can be leveraged to address complex social challenges and drive sustainable development, emphasizing a mission-driven and outcome-oriented mindset.
  • Video

Lord Karan Bilimoria, A Conversation with Badr Jafar

  • Source : Centre for Strategic Philanthropy, Cambridge
  • 1 August 2021
This article provides insights into philanthropic responses during a pandemic, drawing on perspectives from foundation colleagues across different regions. It explores common challenges, adaptations, and innovations adopted by philanthropic organizations in times of crisis. The authors discuss the shared experiences and lessons learned regarding grant-making, donor engagement, and supporting communities amidst global disruption. The paper contributes to understanding the evolving role of philanthropy in rapid-response scenarios and its implications for future crises.
  • Academic / Journal Article

Predicting Heavy Metal Adsorption on Soil with Machine Learning and Mapping Global Distribution of Soil Adsorption Capacities

  • Source : Source of Publication
  • 1 August 2021
This study explores the use of machine learning models, specifically Random Forest, to predict the adsorption capacity of various heavy metals (Cd, Cu, Pb, Zn) on soil. By leveraging a comprehensive dataset of soil properties and adsorption experimental data, the research develops predictive models that can accurately estimate heavy metal retention. Furthermore, it aims to map the global distribution of soil adsorption capacities, providing valuable insights for environmental management and pollution control strategies. The findings highlight the potential of data-driven approaches in understanding and mitigating soil contamination.
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