• Media Article

How Data Science Will Help Solve Many Of The World's Most Pressing Challenges

  • Source : Forbes
  • 1 September 2019
This article highlights the transformative potential of data science in addressing complex global challenges beyond traditional business applications. It explains how data for social good initiatives leverage analytics to tackle issues like poverty, hunger, climate change, and public health crises. By analyzing vast and diverse datasets, data science enables more effective resource allocation, informed policy-making, and targeted interventions. The piece emphasizes the importance of interdisciplinary collaboration and ethical data practices to unlock solutions that drive sustainable development and foster a more equitable and resilient society for all.
  • Blog

How Academia Can Fill the Data Science Employability Gap

  • Source : LinkedIn Pulse
  • 1 August 2019
This article addresses the growing demand for data literacy in the workforce and the existing gap in academia’s ability to prepare students with these essential skills. It highlights a disconnect between employer expectations for data analysis and the training universities provide, particularly for entry-level hires. The piece suggests that while not everyone needs to be a professional analyst, basic data literacy is crucial across various sectors. It implicitly calls for academic institutions to prioritize and integrate data skills initiatives into their curricula to better equip graduates for the data-driven job market.
  • Academic / Journal Article

Data Science of the Natural Environment: A Research Roadmap

  • Source : Frontiers in Environmental Science
  • 1 August 2019
This research roadmap explores the critical role of data science in understanding and addressing challenges within the natural environment. It proposes key research directions and methodologies, emphasizing the integration of diverse datasets, advanced analytical techniques, and computational models. The article highlights applications such as climate modeling, biodiversity conservation, ecosystem health monitoring, and natural disaster prediction. The aim is to leverage data science to foster sustainable practices and inform policy decisions for environmental protection and management.
  • Academic / Journal Article

What is responsible and sustainable data science?

  • Source : journals.sagepub.com
  • 1 July 2019
This article explores the ethical and sustainable practices in data science, emphasizing its responsibility in the context of social work and analytics. It examines how data science can be applied to improve social services and the potential implications for social impact. The authors discuss frameworks that guide responsible data science practices and explore challenges such as data access, governance, and accountability.
  • Media Article

How data science can improve society

  • Source : Imperial College London
  • 1 July 2019
This article discusses the profound impact of data science on improving society across various domains. It explores how data analysis and insights can drive progress in public health, urban planning, environmental sustainability, and social justice. The piece highlights data science’s capacity to identify societal challenges, optimize resource allocation, predict future trends, and inform evidence-based policy-making. By transforming vast amounts of data into actionable knowledge, it empowers governments, organizations, and communities to develop more effective solutions that foster social good and enhance overall societal well-being.
  • Case Study

Sustainable finance in emerging markets and the role of securities regulators

  • Source : International Organization of Securities Commissions
  • 1 June 2019
This report by IOSCO examines the growing significance of sustainable finance in emerging markets and the crucial role of securities regulators. It highlights that transitioning to sustainable development and mitigating climate change are global priorities, presenting both challenges and investment opportunities. The paper addresses the financing gap for achieving Sustainable Development Goals (SDGs) in developing countries and the increasing recognition of climate-related risks as financial risks. It discusses how regulators are enhancing disclosure, combating greenwashing, and training staff to facilitate the growth of sustainable investing.
  • Case Study

Mobilising Capital for Water: Blended Finance Solutions to Scale Investment in Emerging Markets

  • Source : WaterAid and systemIQ
  • 1 June 2019
This report explores blended finance solutions for mobilizing capital to scale investments in water, sanitation, and hygiene (WASH) in emerging markets. It highlights the significant funding gap in the water sector and advocates for innovative financial mechanisms that combine public, philanthropic, and private capital. The document provides insights into how blended finance can de-risk investments and attract private sector participation, ultimately accelerating progress towards universal access to sustainable water services.
  • Case Study

Growing a Culture of Social Impact Investment in the UK

  • Source : Advisory Group to UK Government
  • 1 June 2019
This report by the Advisory Group to the UK Government explores strategies for fostering a robust culture of social impact investment within the United Kingdom. It provides an assessment of the current landscape, identifying key opportunities and policy recommendations to accelerate the growth of the sector. The document emphasizes the importance of a supportive ecosystem, including regulatory frameworks and capacity building, to mobilize more capital towards social enterprises and achieve greater social impact across the UK.
  • Case Study

Banking on Impact: What You Need to Know about Results-Based Financing

  • Source : World Bank
  • 1 June 2019
This article introduces results-based financing (RBF) as an innovative development approach where payments are contingent on achieving verified outcomes. It explains various RBF models, including Social and Development Impact Bonds (SIBs/DIBs), differentiating them from traditional input-based funding. The piece provides practical, high-level guidelines for governments and development partners on how to effectively design and implement these instruments. It emphasizes the fundamental shift in focus from activities to measurable results, thereby fostering greater accountability, innovation, and efficiency in the delivery of essential social services and development programs.
  • Case Study

Data for Impact Starts with High-Quality Data

  • Source : Data for Impact Project
  • 1 June 2019
This case study emphasizes the crucial role that high-quality data plays in achieving impactful health and development outcomes. It discusses key dimensions of data quality, including accuracy, completeness, and timeliness, and presents practical approaches for data assessment and improvement. By providing actionable insights, the study serves as a foundational resource for practitioners in the field who are working to enhance the quality and utility of data in decision-making processes. The case study demonstrates how reliable data can guide program strategies, foster accountability, and lead to better health outcomes in various development settings.
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