230 research outputs found

    Visualization of Record Swapping

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    Record Swapping is a statistical disclosure control technique widely used to secure the confidentiality of microdata obtained in surveys and censuses. It is one of the methods recommended by the Centre of Excellence on Statistical Disclosure Control of the European Union for the protection of data from Census 2021. This method is based on the swapping of risk records between geographical areas. The analysis of perturbed microdata is usually done purely on numerical results, and only simplified schemes are used for general illustration. We wanted a comprehensive visualization, and therefore, we have prepared a~ visualization of record swapping based on Choropleth maps and Commuting Flow maps, also known as Origin-Destination maps. Choropleth maps use differing colours within predefined geographic areas to represent aggregated statistical data. Origin-Destination maps are widely used for visualization and a description of people commuting to work, but they can also be used to describe other indicators. We utilize these methods to visualize the swapping of records for individual statistical units (persons). This approach is demonstrated using microdata from the Population Census 2011 from the Czech Republic and synthetic Austrian EU-SILC data. The proposed visualization allows statistical offices and agencies to effectively evaluate the swapping process and the distribution of the records across geographical areas

    Privacy Preserved Model Based Approaches for Generating Open Travel Behavioural Data

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    Location-aware technologies and smart phones are fast growing in usage and adoption as a medium of service request and delivery of daily activities. However, the increasing usage of these technologies has birthed new challenges that needs to be addressed. Privacy protection and the need for disaggregate mobility data for transportation modelling needs to be balanced for applications and academic research. This dissertation focuses on developing modern privacy mechanisms that seek to satisfy requirements on privacy and data utility for fine-grained travel behavioural modelling applications using large-scale mobility data. To accomplish this, we review the challenges and opportunities that are needed to be solved in order to harness the full potential of “Big Transportation Data”. Also, we perform a quantitative evaluation on the degree of privacy that are provided by popular location anonymization techniques when undertaken on sensitive location data (i.e. homes, offices) of a travel survey. As a step to solve the trade-off between privacy and utility, we develop a differentially-private generative model for simultaneously synthesizing both socio-economic attributes and sequences of activity diary. Adversarial attack models are proposed and tested to evaluate the effectiveness of the proposed system against privacy attacks. The results show that datasets from the developed privacy enhancing system can be used for travel behavioural modelling with satisfactory results while ensuring an acceptable level of privacy

    Dictionary of privacy, data protection and information security

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    The Dictionary of Privacy, Data Protection and Information Security explains the complex technical terms, legal concepts, privacy management techniques, conceptual matters and vocabulary that inform public debate about privacy. The revolutionary and pervasive influence of digital technology affects numerous disciplines and sectors of society, and concerns about its potential threats to privacy are growing. With over a thousand terms meticulously set out, described and cross-referenced, this Dictionary enables productive discussion by covering the full range of fields accessibly and comprehensively. In the ever-evolving debate surrounding privacy, this Dictionary takes a longer view, transcending the details of today''s problems, technology, and the law to examine the wider principles that underlie privacy discourse. Interdisciplinary in scope, this Dictionary is invaluable to students, scholars and researchers in law, technology and computing, cybersecurity, sociology, public policy and administration, and regulation. It is also a vital reference for diverse practitioners including data scientists, lawyers, policymakers and regulators

    LIPIcs, Volume 277, GIScience 2023, Complete Volume

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    LIPIcs, Volume 277, GIScience 2023, Complete Volum

    Wildlife Crime and Other Challenges to Resource System Resilience

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    Although wildlife crime has exploded in Africa over the past decade —“commercial poaching” now kills an estimated eight percent of the continent’s elephant population each year—some governments have proven more successful than others at protecting wildlife and preserving habitats. To explain this variation, this study examines how the policies of three states (Kenya, Tanzania, and Botswana) have enhanced or undermined the resilience of the continent’s elephant ecosystem. Using the social-ecological system framework, the study illustrates how each state’s changing practices have either exacerbated the stresses wrought by wildlife crime or successfully protected local populations from poaching. The study finds that monocausal explanations cannot explain social-ecological systems outcomes. Cross-level and cross-scale dynamics, including temporal, geospatial, epistemological, and institutional linkages, explain variation in system functionality. These dynamics include colonial policies, governance practices, the international conservation community, and resource use decisions

    12th International Conference on Geographic Information Science: GIScience 2023, September 12–15, 2023, Leeds, UK

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    No abstract available

    Sterile Insect Technique

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    2023 - The Fourth Annual Fall Symposium of Student Scholars

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    The full program book from the Fall 2023 Symposium of Student Scholars, held in November 2023. Includes abstracts from the presentations and posters.https://digitalcommons.kennesaw.edu/sssprograms/1028/thumbnail.jp

    2022 Summer Experience Program Abstracts

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    The mission of the MD Anderson Summer Experience Program is to eliminate cancer, through training of high School, undergraduates and first year medical students to make a lasting impact on training the next generation of scientist and physicians through research and education. The MD Anderson Summer Experience is an umbrella program that comprises 18 summer academic programs at MD Anderson. The summer research program is an 8-10 week program that offers hands-on experience in biomedical, translational or clinical research. In this program, students are matched with a mentor from MD Anderson’s research or clinical faculty. Participants work alongside the mentor in a lab or clinic, on projects designed by faculty to reflect current research. Workshops and lectures provide opportunities to connect with faculty, residents, postdoctoral and clinical fellows, and other participants. Through the program, students assess goals related to careers in oncology research and patient care. The program culminates with a symposium in which participants present talks and posters on their research projects to peers and faculty.https://openworks.mdanderson.org/sumexp22/1061/thumbnail.jp
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