• Case Study

Reducing Greenhouse Gas Emissions with Data Science

  • Source : MD Anderson Cancer Center
  • March 2021
This case study from Mosaic Data Science illustrates how data science can be effectively applied to reduce greenhouse gas emissions. It likely details a specific project where data analysis and machine learning techniques were used to identify key emission sources, optimize processes, and develop strategies for carbon reduction. The case study would demonstrate the practical application of data science in tackling climate change, providing insights into methodologies, challenges, and the measurable impact achieved through data-driven interventions in environmental sustainability efforts.
  • Blog

How data science is transforming Healthcare

  • Source : DataCamp
  • March 2021
Data science is profoundly transforming healthcare by enhancing patient care, optimizing operations, and accelerating medical research. This article highlights its applications in personalized medicine, where genetic data and patient histories inform tailored treatments. It also discusses how data science improves diagnostic accuracy through advanced image analysis and predictive analytics for disease progression. Furthermore, it aids in drug discovery, clinical trial optimization, and fraud detection. By leveraging large datasets, data science empowers healthcare professionals with actionable insights, leading to more efficient, effective, and accessible healthcare services for a healthier global population.
  • Media Article

Diversity and access can lead many more Indians to jobs in data science

  • Source : The Indian Express
  • March 2021
This article argues that increasing diversity and access to education and training can significantly boost the number of Indians entering data science professions. It addresses the existing disparities and barriers that prevent diverse groups from pursuing careers in this growing field. The piece advocates for inclusive policies and programs that promote equal opportunities, highlighting how a more diverse talent pool can bring varied perspectives and innovation to the data science industry, ultimately benefiting the sector and the economy.
  • Case Study

Social Aims of Finance Rediscovering varieties of credit in financial archives

  • Source : University of Oxford
  • February 2021
This article explores the historical evolution of the social aims of finance by examining varieties of credit found in financial archives. It delves into how different forms of credit have historically been utilized to achieve social objectives, implicitly connecting them to modern concepts of social finance, impact investing, and bonds for development. The research provides a historical perspective on the intersection of financial mechanisms with societal well-being and development.
  • Case Study

Impact Investing -Purpose Driven Finance Finds Place in India

  • Source : IIC
  • February 2021
This case study examines the emergence and growth of impact investing in India, highlighting its role as purpose-driven finance and its contribution to sustainable development. It explores how impact investments are addressing critical social and environmental challenges across various sectors in the country. The report sheds light on the unique characteristics of the Indian impact investing ecosystem and its potential to foster inclusive and sustainable economic growth.
  • Case Study

Case Study: Educate Girls Development Impact Bond

  • Source : Future Learn
  • February 2021
This case study details the Educate Girls Development Impact Bond (DIB) in rural Rajasthan, India, aimed at increasing girls’ enrollment and improving learning outcomes. The DIB incentivized an NGO through performance-based payments from an investor (UBS Optimus Foundation), repaid by an outcome payer (Children’s Investment Fund Foundation) upon achieving predefined targets. The bond successfully exceeded enrollment and learning targets, demonstrating a viable financing mechanism for ambitious social results.
  • Blog

Data Quality in the Data Life Cycle

  • Source : Harvard Business School Blog
  • February 2021
This blog post from Harvard Business School underscores the significance of maintaining high data quality throughout the entire data lifecycle. It discusses the essential stages of data collection, processing, analysis, and storage, emphasizing how each stage contributes to the overall reliability of data. The post offers practical insights and best practices for ensuring that data is accurate, consistent, and accessible, which in turn helps organizations make data-driven decisions with confidence. By focusing on data integrity, the blog highlights how organizations can ensure the effectiveness of their decisions, mitigate risks, and foster accountability in data handling practices.
  • Case Study

Impact Bonds -Considerations for Investment Returns and Pricing of Outcomes

  • Source : GPRBA
  • January 2021
This case study delves into key considerations for investment returns and the pricing of outcomes in impact bonds. It examines procurement strategies, payment structures, and risk-sharing mechanisms crucial for the successful implementation of these innovative financial instruments. The report aims to guide practitioners and policymakers in designing impact bond arrangements that balance financial viability for investors with effective delivery of social outcomes for beneficiaries, fostering sustainable development.
  • Blog

How agricultural analytics can pave the way for sustainable farming practices

  • Source : Selerity SAS
  • January 2021
This article highlights how agricultural analytics can revolutionize farming by promoting sustainable practices. It explores the use of data-driven insights to optimize crop management, reduce resource waste, and enhance environmental stewardship. The piece discusses how analytics can help farmers make informed decisions on irrigation, fertilization, pest control, and yield prediction, leading to more efficient and eco-friendly operations. By leveraging big data and advanced analytical techniques, agricultural analytics can significantly improve productivity while ensuring long-term ecological balance and profitability.
  • Blog

Data science in energy – what is your big data talent plan?

  • Source : Airswift
  • January 2021
This blog post from Airswift examines the crucial role of data science in the energy sector and emphasizes the need for a robust "big data talent plan." It discusses how data analytics is used for optimizing energy production, predicting demand, managing grids, and developing renewable energy sources. The article also touches upon the challenges of data integration and the demand for skilled data professionals in the energy industry. It highlights the strategic importance of human capital in leveraging big data for sustainable energy solutions and operational efficiency.
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