• Media Article

Big Data Takes on Cancer

  • Source : Nature Editorial Team
  • 23 July 2025
This article covers the role of big data in cancer research, focusing on its potential to identify treatment patterns, patient outcomes, and early disease detection. It discusses how analysing vast amounts of patient data can uncover insights into cancer behavior, improving personalised treatment strategies. The piece highlights how big data is being used to develop more effective therapies and minimize side effects. It also examines how data-driven approaches can accelerate cancer research and transform the future of oncology treatment.
  • Case Study

Accounting Infrastructures and the Negotiation of Social and Economic Returns Under Financialisation: the Case of Impact Investing

  • Source : Competition and Change
  • 1 February 2022
This article examines accounting infrastructures shaping impact investing, analysing how financial practices mediate between social and economic objectives. It explores the tensions in balancing measurable returns and social value, emphasizing the sociological and institutional implications of impact metrics. The paper argues that social values in impact investing emerge from stakeholder interplay, making accounting tools sites of political negotiation with both emancipatory and exploitative potential, deepening understanding of financialisation’s social dynamics.
  • Case Study

A Canadian Approach to Innovative Financing for Sustainable Development

  • Source : Global Affairs Canada
  • 1 March 2019
This document provides guidance on implementing Canada’s Feminist International Assistance Policy (FIAP), which emphasizes gender equality, intersectionality, and human rights in development programming. It discusses governance, accountability, and inclusive delivery frameworks and offers practical steps for program staff to advance feminist values in development projects. By focusing on gender-sensitive solutions, the report aims to mobilise funding for sustainable development that addresses both social and environmental challenges.
  • Case Study

Data Science Consulting for Electric Energy Consumption Analysis and Forecasting

  • Source : ScienceSoft
  • 23 July 2025
This case study describes how ScienceSoft implemented a data science solution for an energy provider to enhance energy consumption forecasting. By leveraging machine learning algorithms, the project enabled accurate load prediction, anomaly detection, and efficiency tracking across client sites. The developed solution included customised dashboards to visualise energy usage patterns, allowing for improved resource allocation and operational control. This intervention achieved a 30% boost in forecasting accuracy and reduced manual monitoring efforts significantly.
  • Case Study

Literature Review of Social Entrepreneurship and Impact Investing (2007-2017): Doing Good by Doing Business

  • Source : William and Mary Business Law Review
  • 1 November 2019
This article reviews 260 legal scholarly works published between 2007 and 2017 on social entrepreneurship and impact investing. It identifies common legal themes, areas of consensus, and unsettled issues within these fields. The review highlights a growing interest in the intersection of business and social good, noting that legal scholarship often lags behind practical developments and policymaking. The authors emphasize the need for more legal research to address emerging challenges and opportunities, suggesting that law schools play a crucial role in advancing this scholarship to support the evolving landscape of socially motivated business and capital.
  • Blog

Big Data for Sustainable Development

  • Source : UN
  • 1 August 2018
This blog discusses the role of big data in advancing sustainable development. It highlights how big data applications in sectors such as agriculture, health, and disaster response are driving progress towards addressing global challenges. By using satellite imagery, mobile data, and real-time analytics, governments and organizations can address food security, climate change, and healthcare access more effectively. It also underscores the importance of responsible data governance and international cooperation in realizing the full potential of big data.
  • Media Article

Data Science Drives Seed Breeding

  • Source : Seed World
  • 1 January 2021
This article highlights how data science is revolutionising seed breeding by incorporating genomic data, machine learning, and precision phenotyping. These technologies allow for faster identification of desirable traits, reduce breeding cycle time, and enhance climate resilience. The use of predictive analytics enables selection of high-yield varieties with greater efficiency, helping farmers respond to environmental variability. The article underscores the potential of big data in agriculture to transform crop improvement and boost global food security.
  • Media Article

Big Data as a Tool to Improve Air Quality

  • Source : CEPEI
  • 1 October 2021
This article discusses the use of big data in improving air quality. It covers how real-time monitoring systems and data analytics tools track pollution levels and help decision-makers develop strategies for better air quality management. Big data provides valuable insights into pollution trends, allowing for the formulation of policies that address environmental concerns. It also emphasizes the integration of big data into urban management systems, promoting cleaner air and public health outcomes.
  • Blog

Big Data and Analytics for Infectious Disease Research Operations and Policy

  • Source : National Academies of Sciences, Engineering, and Medicine
  • 23 July 2025
This blog focuses on the critical role of big data and analytics in improving infectious disease research, operations, and policy-making. By leveraging vast data sets, healthcare professionals can better track disease patterns, identify risks, and predict outbreaks. It highlights how advanced analytics can optimize resource allocation, improve health responses, and shape policies for more efficient and effective disease management, helping mitigate global health threats. The report also discusses the importance of data sharing and collaboration among global health organizations to address future epidemics.
  • Blog

Big Data Analytics Could Reduce Power Grid Outages

  • Source : Texas A&M University
  • 1 May 2019
This article discusses the role of big data analytics in reducing power grid outages. By integrating real-time monitoring and predictive maintenance techniques, the power grid’s efficiency can be significantly improved. The use of advanced analytics helps detect potential failures before they cause outages, ensuring better resource management and operational efficiency. This, in turn, leads to reduced downtime and enhanced grid reliability. The article emphasizes the role of predictive maintenance in preventing power interruptions, ultimately making energy distribution more reliable and cost-effective.
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