• Paper / Report

IMPROVING DATA FOR WOMEN AND CHILDREN: Guidance on strengthening administrative data systems for gender statistics

  • Source : UNICEF
This guidance document outlines strategies for strengthening administrative data systems to improve gender statistics, specifically focusing on women and children. It underscores the critical need for gender-responsive data collection and analysis to inform more inclusive policies and address systemic data gaps. The document presents frameworks for institutional strengthening, capacity-building, and effective data use, aiming to promote gender equality and ensure that no child is left behind due to intersecting inequalities.
  • Case Study

Mobilizing Private Capital for Public Good: Priorities for Canada

  • Source : Canada's National Advisory Board to the Social Impact Investment Taskforce
  • December 2022
This report from Canada’s National Advisory Board to the Social Impact Investment Taskforce outlines priorities for mobilizing private capital for public good. It explores the landscape of social impact investment in Canada, identifies key challenges, and proposes recommendations to foster a robust ecosystem. The report emphasizes the role of policy, financial innovation, and cross-sector collaboration in driving social and environmental impact alongside financial returns. It aims to accelerate the growth of impact investing to address pressing social issues.
  • Academic / Journal Article

Building an Annotated Corpus for Automatic Metadata Extraction from Multilingual Journal Article References

  • Source : PubMed
  • December 2022
This article presents the construction of a high-quality annotated corpus to support the automatic extraction of metadata from multilingual journal references, improving the efficiency of multilingual data processing. The annotated corpus enables more accurate extraction of metadata, which is essential for organizing and retrieving scientific literature in multiple languages. The article discusses the challenges of multilingual metadata extraction and highlights the importance of building comprehensive corpora that can improve data processing workflows. By using this annotated corpus, researchers can enhance their ability to handle multilingual data, facilitating better access to global knowledge and improving research outcomes.
  • Media Article

Largest-ever analysis finds genetic links to smoking and drinking

  • Source : Nature
  • December 2022
This article discusses the findings of the largest-ever genetic analysis related to smoking and drinking behaviors. Researchers identified specific genetic variants that influence an individual’s propensity for these habits, shedding light on the biological underpinnings of addiction. The insights gained could pave the way for more targeted prevention strategies and interventions, ultimately contributing to public health efforts. The analysis highlights the complex interplay between genetics and lifestyle choices in the context of addiction.
  • Media Article

Girls in Data

  • Source : Open Access Government
  • December 2022
This article highlights the "Girls in Data" initiative, which aims to inspire and encourage young girls to pursue careers in data science and technology. It discusses the importance of introducing STEM subjects early and providing positive role models to address the underrepresentation of women in these fields. The initiative seeks to foster interest and talent in data, contributing to a more diverse and inclusive future workforce in the rapidly growing digital sector.
  • Case Study

Vancouver Island Social Finance Report

  • Source : VISIZ Social Finance Working Group
  • October 2022
This report presents an overview of the social finance landscape on Vancouver Island. It explores the existing social finance vehicles and discusses the potential for Social Impact Bonds (SIBs) and other innovative financial instruments to address local social challenges. The report aims to inform stakeholders about opportunities for leveraging social finance to achieve greater social impact and foster community development within the region.
  • Blog

Data Collection Quality: How to Ensure Data Quality

  • Source : SurveyCTO
  • October 2022
This article shares actionable steps and best practices for ensuring data quality during digital data collection, including real-time checks and enumerator training. It discusses the importance of training data collectors to follow standardized procedures for data entry and ensuring that data is validated at the point of collection. The article also emphasizes the need for real-time data validation checks to catch errors early and prevent inaccurate data from being entered into the system. By following these best practices, organizations can ensure that their digital data collection efforts yield high-quality data that is reliable and useful for decision-making and program evaluation.
  • Academic / Journal Article

Machine learning can identify the sources of heavy metals in agricultural soil: A case study in northern Guangdong Province, China

  • Source : ScienceDirect
  • October 2022
This case study demonstrates how machine learning can effectively identify the sources of heavy metal contamination in agricultural soil, specifically in northern Guangdong Province, China. By analyzing soil composition data, machine learning algorithms can pinpoint the origins of pollutants, enabling targeted remediation efforts. This research offers a powerful tool for environmental management and agricultural sustainability, helping to ensure food safety and protect ecosystems from harmful contaminants.
  • Academic / Journal Article

Employability skills: Profiling data scientists in the digital labour market

  • Source : ScienceDirect (Computers in Human Behavior Reports)
  • October 2022
This academic article focuses on profiling the key employability skills required for data scientists in the evolving digital labor market. It analyzes the specific technical, analytical, and soft skills that are most sought after by employers in the data science field. The paper identifies trends in job advertisements and industry demands, providing insights into the competencies necessary for success. It also discusses how educational institutions and professionals can adapt to ensure a relevant and competitive skill set in this rapidly growing domain.
  • Academic / Journal Article

Data Sciences in Transportation and Transit Systems

  • Source : Frontiers in Future Transportation
  • October 2022
This article delves into the application of data sciences within transportation and transit systems, exploring how data-driven insights are optimizing urban mobility. It covers topics such as traffic prediction, route optimization, public transport efficiency, and smart city planning. The piece highlights the use of machine learning, real-time data analysis, and predictive modeling to enhance operational effectiveness, improve passenger experience, and contribute to sustainable transportation solutions. It underscores the transformative potential of data science in modernizing transit infrastructure.
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