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Topics API Analysis This repository provides the experimental results of the paper The Privacy-Utility Trade-off in the Topics API. Usage The notebooks were run using: Python v3.11.8 bvmlib v1.0.0 matplotlib 3.8.0 numpy 1.24.3 pandas 2.0.1 qif 1.2.3 requests 2.31.0 scipy 1.11.3 tldextract 5.1.2 tqdm 4.66.1 urllib3 1.26.16 The datasets produced for the experiments can be found on Zenodo: AOL Dataset for Browsing History and Topics of Interest (DOI: 10.5281/zenodo.11029572). Notebooks Data treatment: AOL-data-treatment.ipynb: Converts the original AOL dataset. Treats inconsistencies; Randomly remaps AnonID to RandID; Defines domains from URLs; and Filters domains by eTLD using tldextract and Mozilla's Public Suffix List, as of commit 5e6ac3a, extended by the discontinued TLDs: .bg.ac.yu, .ac.yu, .cg.yu, .co.yu, .edu.yu, .gov.yu, .net.yu, .org.yu, .yu, .or.tp, .tp, and .an. Generates the datasets AOL-treated.csv and AOL-treated-unique-domains.csv. The dataset AOL-treated.csv can be used for analyses of browsing history vulnerability and utility, as enabled by third-party cookies. This dataset contains singletons (individuals with only one domain in their browsing histories) and one outlier (one user with 150.802 domain visits in three months) that are dropped in some analyses. Citizen-Lab-Classification-data-treatment.ipynb: Converts the Citizen Lab Classification data, as of commit ebd0ee8. Treats inconsistencies; Defines domains from URLs; Filters domains by eTLD using tldextract and Mozilla's Public Suffix List, as of commit 5e6ac3a, extended by the discontinued TLDs: .bg.ac.yu, .ac.yu, .cg.yu, .co.yu, .edu.yu, .gov.yu, .net.yu, .org.yu, .yu, .or.tp, .tp, and .an; and Merges classifications by domain. Generates the dataset Citizen-Lab-Classification.csv. AOL-treated-Citizen-Lab-Classification-domain-matching.ipynb: Matches domains from AOL-treated-unique-domains.csv with domains and respective topics from Citizen-Lab-Classification.csv. Generates the dataset AOL-treated-Citizen-Lab-Classification-domain-match.csv. AOL-treated-Google-Topics-Classification-v1-domain-matching.ipynb: Matches domains from AOL-treated-unique-domains.csv with domains and respective topics from Google-Topics-Classification-v1.txt, as provided by Google with the Chrome browser. Generates the dataset AOL-treated-Google-Topics-Classification-v1-domain-match.csv. AOL-reduced-Citizen-Lab-Classification.ipynb: Converts the dataset AOL-treated.csv. Reduces the dataset AOL-treated.csv according to the dataset AOL-treated-Citizen-Lab-Classification-domain-match.csv. Generates the dataset AOL-reduced-Citizen-Lab-Classification.csv. The dataset AOL-reduced-Citizen-Lab-Classification.csv can be used for analyses of browsing history vulnerability and utility, as enabled by third-party cookies, and for analyses of topics of interest vulnerability and utility, as enabled by the Topics API. This dataset contains singletons and the outlier that are dropped in some analyses. This dataset can be used for analyses including the (data-dependent) randomness of trimming-down or filling-up the top-s sets of topics for each individual so each set has s topics. Privacy results for Generalization and utility results for Generalization, Bounded Noise, and Differential Privacy are expected to slightly vary with each run of the analyses over this dataset. AOL-reduced-Google-Topics-Classification-v1.ipynb: Converts the dataset AOL-treated.csv. Reduces the dataset AOL-treated.csv according to the dataset AOL-treated-Google-Topics-Classification-v1-domain-match.csv. Generates the dataset AOL-reduced-Google-Topics-Classification-v1.csv. The dataset AOL-reduced-Google-Topics-Classification-v1.csv can be used for analyses of browsing history vulnerability and utility, as enabled by third-party cookies, and for analyses of topics of interest vulnerability and utility, as enabled by the Topics API. This dataset contains singletons and the outlier that are dropped in some analyses. This dataset can be used for analyses including the (data-dependent) randomness of trimming-down or filling-up the top-s sets of topics for each individual so each set has s topics. Privacy results for Generalization and utility results for Generalization, Bounded Noise, and Differential Privacy are expected to slightly vary with each run of the analyses over this dataset. AOL-experimental.ipynb: Converts the dataset AOL-treated.csv. Drops singletons (individuals with only one domain in their browsing histories) and one outlier (one user with 150.802 domain visits in three months); and Defines browsing histories. Generates the dataset AOL-experimental.csv. The dataset AOL-experimental.csv can be used to empirically verify code correctness. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. AOL-experimental-Citizen-Lab-Classification.ipynb: Converts the dataset AOL-reduced-Citizen-Lab-Classification.csv. Generates the dataset AOL-experimental-Citizen-Lab-Classification.csv. The dataset AOL-experimental-Citizen-Lab-Classification.csv can be used to empirically verify code correctness. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. AOL-experimental-Google-Topics-Classification-v1.ipynb: Converts the dataset AOL-reduced-Google-Topics-Classification-v1.csv. Generates the dataset AOL-experimental-Google-Topics-Classification-v1.csv. The dataset AOL-experimental-Google-Topics-Classification-v1.csv can be used to empirically verify code correctness. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. Analyses: QIF-analyses-AOL-treated.ipynb: QIF analyses based on the dataset AOL-treated.csv. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. QIF-analyses-AOL-reduced-Citizen-Lab.ipynb: QIF analyses based on the dataset AOL-reduced-Citizen-Lab-Classification.csv. Privacy results for Generalization and utility results for Generalization, Bounded Noise, and Differential Privacy are expected to slightly vary with each run of the analyses over this dataset. QIF-analyses-AOL-reduced-Google-Topics-v1.ipynb: QIF analyses based on the dataset AOL-reduced-Google-Topics-Classification-v1.csv. Privacy results for Generalization and utility results for Generalization, Bounded Noise, and Differential Privacy are expected to slightly vary with each run of the analyses over this dataset. QIF-analyses-counting-experiment.ipynb: QIF analysis for counting topics popularity using the binomial distribution. QIF-analyses-AOL-experimental.ipynb: QIF analyses based on the dataset AOL-experimental.csv. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. QIF-analyses-AOL-experimental-Citizen-Lab.ipynb: QIF analyses based on the dataset AOL-experimental-Citizen-Lab-Classification.csv. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. QIF-analyses-AOL-experimental-Google-Topics-v1.ipynb: QIF analyses based on the dataset AOL-experimental-Google-Topics-Classification-v1.csv. All privacy and utility results are expected to remain the same with each run of the analyses over this dataset. License GNU GPLv3. To understand how the various GNU licenses are compatible with each other, please refer to the GNU licenses FAQ.

This survey was used in a large study to determine the level of workplace violence experienced by health workers who visit clients in their own homes.

Em situação de desastre, mapear o território é imprescindível na identificação das principais áreas afetadas. E para realizar este tipo de mapeamento de forma segura e eficaz, a utilização de aeronave remotamente pilotada se torna a opção mais viável, essa, capaz de fornecer dados precisos, alta resolução dos produtos e celeridade na geração da geoinformação. Diante disso, objetivou-se, utilizar a aerofotogrametria para mapear as áreas afetadas por fortes chuvas, que foram o estopim para o desastre que aconteceu na cidade de São Sebastião, Litoral norte do Estado de São Paulo, e identificar feições de movimentos de massas no terreno. O bairro de Juquehy foi usado como estudo de caso por ser uma área que possuí relevo acentuado, com moradias localizadas no meio da encosta, com taludes instáveis a montante e a jusante. Por meio da aerofotogrametria e uso de técnicas de geoprocessamento, foi possível identificar 17 (dezessete) áreas de movimentos de massas e 7 (sete) áreas possivelmente afetadas. Com essas informações em mãos, auxiliando no gerenciamento da área afetada.

This report documents the proceedings and findings of the two-day symposium 'Play Beyond Playgrounds: Rethinking the role of public art in urban play' held at the University of Sydney on Thursday 30th November and Friday 1st December 2023. Comprising of keynotes, panel discussions, workshops and site visits this dynamic interdisciplinary event brought together experts from public art, urban planning, landscape architecture, academia, child development, and urbanism to collaborate, converse, grapple and play. Led by visual arts researchers Dr. Sanné Mestrom and Nadia Odlum from ART/PLAY/RISK and the University of Sydney, in partnership with leading landscape architect firm ASPECT Studios, this symposium challenged the status quo of urban play, asking the crucial questions: How can we harness the transformative power of play in public life to create better future cities, empowering individuals and communities? And what role can public art and design play in this vital transformation? The findings presented in this report advocate for the role of playable public art in shaping a city that empowers individuals of all ages to thrive and grow.

In his recent speech to the people of Kenya, King Charles III took many by surprise when he espoused a semblance of cognizance and compassion towards the sufferings endured during the sombre epochs of imperial rule. During his speech, the King expressed a ‘great sorrow’ for past “wrongdoings”, yet, lamentably, the monarch stopped short of a genuine apology, leaving many Kenyans frustrated.2 The King’s royal visit rekindled strong emotions and is indicative of a complex and fraught relationship to empire, of which the shadow of the colonial gaze continues to loom large.

On the morning of 28 April 1770, James Cook and his crew sailed into Botany Bay in the bark Endeavour, becoming the first Europeans to set foot on the east coast of Australia (Cook, 1955, 304-312). The event itself had negligible impact on the environment or on the peoples that occupied the territory. Its broader consequences, however, were massive. Perhaps the most significant of these was that the area was recommended as the site of the colony that Britain hoped to establish, inter alia, to house its overflowing gaol population 2, making Botany Bay the focus of the great colonial experiment that led to the transformation of New Holland into the modern continent-state of Australia.

The deposition contains code as used in the analysis of images for the paper 'Fluid‐Dynamic Modeling of Flow in Embryonic Tissue Indicates That Lymphatic Valve Location Is Not Consistently Determined by the Local Fluid Shear or Its Gradient', by Bertram & Macaskill, published in the journal Microcirculation in 2024. software in the commercial scientific software language Matlab (The Mathworks, Natick MA, USA): requires version R2019b or later, requires images to load as described in the published paper and detailed in the code

An interactive educational resource to reduce musculoskeletal pain in sonographers. RESPite was created with Articulate software and contains six educational modules.

The University of Sydney Business School is committed to embedding culturally competent practice in all aspects of our research, teaching and engagement. We will work to ensure that all staff, students and community members with whom we interact feel safe, respected and valued. As part of this commitment, the University of Sydney Business School Indigenous Cultural and Intellectual Protocol for Curriculum supports academic and professional staff in promoting culturally safe practices across our teaching programs. It is with great pride and respect for the knowledges and cultures of Aboriginal and Torres Strait Islander peoples that we invite you to learn from, explore, and embed this Protocol in your work. This Protocol has been co-designed with the aim of guiding, educating and directing Business School staff about the importance of cultural attribution and recognising the rights of Aboriginal and Torres Strait Islander peoples to their Indigenous Cultural and Intellectual Property. The Protocol guides educational practices that encourage self-representation of Aboriginal and Torres Strait Islander peoples and the process to establish and maintain strong relations with Aboriginal and Torres Strait Islander peoples and communities. We recognise that Aboriginal and Torres Strait Islander knowledge and perspectives have been historically excluded or misrepresented within Western education systems, and we are committed to promoting culturally responsive curriculum practices that recognise the richness and diversity of Aboriginal and Torres Strait Islander cultures and knowledge. The Protocol outlined in this document is intended to provide a framework for all staff in the Business School to engage in culturally responsive practices. It is envisaged that this work can help inform culturally responsive curriculum practices in your own curriculum design and development lifecycle. This Protocol provides a valuable resource for educators who seek to engage with Aboriginal and Torres Strait Islander peoples and communities, knowledge and culture in a respectful and meaningful way.

Our 2024 annual research report highlights the achievements of our school's researchers over the past year.