• Blog

How Data Scientists Can Reduce CO2

  • Source : Towards Data Science
  • 1 May 2021
This article outlines how data scientists can significantly contribute to reducing CO2 emissions and combating climate change. It discusses leveraging data analysis to optimize energy consumption in industries, smart grids, and transportation. Data scientists can build predictive models for renewable energy generation, identify inefficiencies in supply chains, and design sustainable urban planning solutions. Furthermore, they can analyze environmental data to track emission sources, monitor deforestation, and evaluate the effectiveness of climate policies. By providing actionable insights, data scientists empower organizations and governments to make data-driven decisions that foster environmental sustainability.
  • Blog

How Data Science Can Give Further Understanding on Urban Poverty

  • Source : Towards Data Science
  • 1 May 2021
This article explores how data science can provide deeper insights into urban poverty, moving beyond traditional statistical analyses. It discusses the use of big data, machine learning, and spatial analysis to identify and understand the multifaceted dimensions of poverty within urban environments. The piece highlights how data science can reveal hidden patterns, correlations, and causal factors related to income inequality, access to resources, housing, and social services. By integrating diverse data sources, it enables more precise targeting of interventions and the development of evidence-based policies for urban development and poverty alleviation.
  • Media Article

How Big Data Insights Can Lead to Better Mental Healthcare

  • Source : HealthITAnalytics
  • 1 May 2021
This article discusses how Big Data insights are revolutionizing mental healthcare by offering unprecedented understanding into psychiatric epidemiology. It highlights the use of predictive modeling, clustering, and Natural Language Processing (NLP) to identify risk factors, characterize disease trajectories, and personalize treatment plans. By analyzing large datasets from electronic health records and social media, Big Data can pinpoint high-risk individuals for early intervention, inform targeted interventions, and even discover biomarkers. The piece emphasizes how these analytical techniques lead to more precise diagnoses and effective, individualized mental health support.
  • Blog

Data Science: A New Career Choice for All Women

  • Source : Towards Data Science
  • 1 May 2021
This article advocates for data science as an accessible and promising career path for women. It addresses common misconceptions and highlights the diverse skill sets required, emphasizing that the field welcomes individuals from various academic backgrounds. The piece discusses the growing demand for data professionals and the numerous opportunities available, promoting data science as a fulfilling and impactful career choice for women. It aims to inspire more women to pursue roles in this rapidly expanding and influential industry.
  • Paper / Report

How Nonprofits Can Map Their Programs to Their Strategy

  • Source : Bridgespan
  • 1 April 2021
This report introduces the "strategic engines " framework for nonprofits, encouraging them to foster innovation beyond their core programs. It outlines how to create dedicated structures and teams to incubate new ideas, ensure alignment with mission, and drive long-term impact. Emphasizing the importance of governance, culture, and experimentation, the report explores how organizations can build the internal capacity to test, refine, and scale innovative approaches. It provides case examples where innovation has become a lever for systemic change. The report positions nonprofits not just as service providers but as adaptive institutions capable of leading transformative change through disciplined innovation.
  • Paper / Report

David Miliband, A Conversation with Badr Jafar

  • Source : Springer
  • 1 April 2021
This research paper from Stanford PACS investigates how High Net Worth (HNW) donors utilize online information provided by philanthropic intermediaries to guide their giving. The study acknowledges the increasing number of platforms that organize and analyze nonprofit data to aid donor decision-making, but notes the unknown extent of their actual use and usefulness to donors. Funded by the Bill and Melinda Gates Foundation, the project focuses on HNW donors’ research practices and their engagement with online data for identifying potential grantees.
  • Case Study

Impact Investments -An Emerging Assets Class

  • Source : JP Morgan
  • 1 April 2021
This document delves into the growing field of impact investing, focusing on its potential to address significant global challenges while generating financial returns. It explores the diverse landscape of impact investments, encompassing various sectors and asset classes, and discusses the methodologies for measuring and managing social and environmental impact. The paper aims to demonstrate that impact investing is evolving beyond a niche market, offering viable solutions for investors seeking both financial performance and tangible contributions to sustainable development and positive societal change.
  • Case Study

Green finance can bolster India's transition to net-zero. Here's how

  • Source : World Economic Forum
  • 1 April 2021
This World Economic Forum article discusses how green finance can significantly support India’s transition towards a net-zero economy. It outlines the crucial role of financial mechanisms in funding renewable energy projects, sustainable infrastructure, and other climate action initiatives. The piece highlights specific strategies and policy interventions needed to accelerate this transition, emphasizing the potential of green finance to drive sustainable markets and help India meet its ambitious climate goals.
  • Blog

Renewable Energy- Towards Data Science

  • Source : Climatelinks
  • 1 April 2021
This blog post from Towards Data Science explores the growing intersection of renewable energy and data science. It discusses how data science techniques, including machine learning and statistical analysis, are being applied across various aspects of the renewable energy landscape, from predicting energy generation and optimizing grid performance to enhancing energy storage solutions and identifying suitable locations for renewable energy installations. The article likely highlights the potential of data-driven approaches to accelerate the transition to a sustainable energy future.
  • Academic / Journal Article

Data science: a game changer for science and innovation

  • Source : SpringerLink
  • 1 April 2021
This article asserts that data science is a transformative force, acting as a "game changer" for advancements in science and innovation. It explores how data-driven methodologies are revolutionizing research paradigms across various scientific disciplines by enabling the extraction of profound insights from complex datasets. The paper discusses the acceleration of discovery, the development of novel technologies, and the fostering of interdisciplinary collaborations. It highlights data science’s capacity to drive breakthroughs and address grand challenges in an increasingly data-rich world.
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