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632 results for “Policies”
PERCEIVE: WP2: Evaluation of EU citizens' perception of the EU project: Task2.1: Data relative to regional performance of the Cohesion Policy and institutional quality
<p>1. PERCEIVE regional panel datasets - secondary data collected from Eurostat, EU Commission on Strutural Fund Expenditures and quality of government for NUTS 1, 2 and 3 regions from 1990-2015, (STATA files). See codebook for more detail about variables</p> <p>2. Flash Eurobarometer survey data on "Awarness of EU Regional Policy" and questionaires (STATA files)</p> <p>3. Standard Eurobaromter survey data, annual, from 2000-2016 and questionaires (STATA files)</p> <p>4. Expenditure data on EU Structural Funds, latest three budget periods (2000-2020) (Excel file)</p> <p>5. codebook for all regional data</p>
Dataset used in the article: Cunico, G., Aivazidou, E., Mollona, E. (2019), "European Cohesion Policy performance and citizens' awareness: A holistic System Dynamics framework", Investigaciones Regionales – Journal of Regional Research (In Press)
<p>In the context of the abovementioned article, interviews with experts about EU funding, as well as a workshop, were performed to find any missing factors or links in the conceptual model developed. This dataset provides detailed information about the interviews and the workshop. The related research is conducted in the context of the Horizon 2020 project PERCEIVE (www.perceiveproject.eu).</p>
Figure 2 in A new policy to implement CONSORT guidelines for surgical randomized controlled trials
Figure 2. - Distribution of Smilosicyopus species.
Outputs from policy sprint "How does artificial intelligence contribute to sustainability in Switzerland?"
<p>This dataset contains English-language output from a policy sprint on the question "How does artificial intelligence contribute to sustainability in Switzerland?" by the Swiss organization Expedition Zukunft, documented at https://www.expeditionzukunft.ch/sprint-ki.</p> <p>The information included in this dataset was made publicly available by the organization at https://www.expeditionzukunft.ch/sprint-ki. This dataset is simply a transfer of this information on the output of the policy sprint in tabular form, for ease of consumption and analysis.</p> <p>sprint_outputs.csv contains the raw textual data from the website on the outputs of the policy sprint process.<br>metadata.csv contains an explanation of all columns in sprint_outputs.csv.</p> <p>The dataset accompanies an analysis of the policy sprint published in (preprint) form at <a href="https://doi.org/10.31235/osf.io/xykej">https://doi.org/10.31235/osf.io/xykej</a>.<br>When citing this dataset, please credit the organisation Expedition Zukunft (https://www.expeditionzukunft.ch) as the creators and curators of the original raw data source.</p>
Policy-guided Monte Carlo on general state spaces: Application to glass-forming mixtures
<p>This dataset is associated with "<a href="https://doi.org/10.1063/5.0221221">Policy-guided Monte Carlo on general state spaces: Application to glass-forming mixtures</a>" by L. Galliano, R. Rende and D. Coslovich. It includes data and workflow to reproduce the figures of the manuscript.</p> <p><strong>Requirements</strong></p> <p>A working installation of Julia (tested with version 1.10.4) is the only software required for this workflow. You can install Julia by following the instructions on the <a href="https://julialang.org/downloads/">Julia website</a>.</p> <p><strong>Dataset</strong></p> <p>Some of the simulations for this project ran for more than a week on a cluster. The Trajectories folder contains results from these simulations, which are necessary to reproduce the figures in the paper. Each folder includes a summary file detailing the simulation parameters and other files containing measured quantities such as potential energy, average acceptance, and parameter values. These folders also contain results from postprocessing the original simulation trajectories carried out with <a href="https://framagit.org/atooms/postprocessing">atooms-postprocessing</a>.</p> <p><strong>Instructions</strong></p> <p>To fully reproduce the analysis from postprocessed data, use the convenience script make at the root of the data set:</p> <p><code>./make all</code></p> <p>This comprises two main steps:</p> <ul> <li><code>./make setup</code> will set up the software environment by checking the Julia installation and installing the required packages in a virtual environment.</li> <li><code>./make workflow</code> will execute the scripts to perform the workflow from the preprocessed trajectory files in the Trajectories folder.</li> </ul> <p>There is also a <code>./make clean</code> option, which uninstalls the virtual environment and removes the results of the workflow.</p> <p><strong>Notes</strong></p> <ul> <li><em>Figure 3</em>: This figure is the result of a two-dimensional simulation that requires the complete Policy-guided Monte Carlo code. Consequently, it is not reproduced by this workflow.</li> <li><em>Figure formats</em>: The Julia scripts generate figures in SVG format. After producing the figures, you can use the <code>./make pdf</code> option to convert them to PDF files. This option requires a working installation of Inkscape, which can be downloaded from <a href="https://inkscape.org">Inkscape website</a></li> </ul> <p><strong>Changelog</strong></p> <ul> <li>1.0.0: initial submission</li> </ul>
Influence of Family Language Policies on Language Proficiency across Generations: A Study of Russian-Speaking Families in Germany
Open the record for dataset details and reuse information.
Indonesian Foreign Policy towards Iran: Shia Hate speech on X social media with LSTM and SVM Analysis
<p>This table and figure are integral components of research on Shia hate speech on social media X, a critical issue in the context of identity politics in Indonesia and globally. This study is of paramount importance as it delves into the identity politics often exploited by politicians in Indonesia and around the world. The Shia community's support for President Jokowi in the first and second stages of the Election was met with hate speech from the opposition group. The study further investigates whether this Shia hate speech is linked to the government's policy towards Iran, a country known for its Shia ideology. The study is presented in three parts:<br>1. Table detailing the sentiment analysis process and results, which were conducted using advanced machine learning techniques such as SVM and LSTM. This approach significantly enhances the accuracy and reliability of the study's findings.<br>2. Figure in the form of a graph related to the study results and the results of comments from the Indonesian public about Shia.<br>3. This research is backed by a comprehensive dataset comprising public comments from Indonesia on Shia. This extensive data collection ensures the study's conclusions are thorough and reliable.</p> <p>4. Processing of machine learning</p>
On the utilization of Disruptive Technologies for Municipality-wide Policy Making
<p>Disruptive technologies (DTs) aim to introduce innovative elements with the immediate goal of changing citizens' behavior and the optimization of certain processes in either the private or public sector. The sector, especially "e-governance" has adopted several DT-based systems and is open to exploring new technologies that could be potentially useful for the sector's administration. This paper proposes a DT-based framework for the early detection of misinformation, the identification and prioritization of emerging and significant issues that refer to the municipality, and the recommendation of counter-actions that could be applied for each identified issue. The proposed framework aims to be applied initially at the municipal level as this is a more limited community for the framework's study and evaluation. News feeds and information posted on social media platforms will be the key information included in the proposed framework, aiming at sensing the public opinion and extracting issues and topics that concern a municipality's citizens. Through social media platforms, users tend to post, among other, concerns or issues they face within the local community, and thus useful content can be extracted and used for the identification of emerging and significant issues. The main advantage of this framework is the utilization of information from different data sources and their processing in order to immediately inform the relevant authority about the most important issues, allowing them to act in a proactive way. The expected outcome of the proposed framework is to raise the citizens' awareness of the issues of the local society and restrict criminality and violence in the municipality.</p>
Innovation Systems & Policy Insight 2_2021 Steering towards transformative change
<p><strong>New Monitoring Evaluation & Learning tools for improving innovation projects transformative potential</strong><br> To achieve systemic impacts, innovation projects require reflexive steering to adapt to new insights or<br> changing circumstances. In MOTION and PROPORTION, AIT researchers collaborated closely with practitioners<br> working on sustainable agriculture and innovative land use management practices. The AIT team<br> supported their work through tools that improve the transformative potential of their innovation activities<br> and helped develop their capacities to promote and steer their project towards systemic and transformative<br> impacts.</p>
CS16: Policy for sustainable development ( development of "Croatian Case Study - Legumes: their potential role in Croatian agricultural production")
<p>(i)The main aim is to develop a document that will gave an overview of current situation regarding legumes consumption and production in Croatia and also to develope a reccomendations for policy makers. <br> (ii) Purpose of this Case Study and the whole project implementation is to raise awareness about consumption and production of legumes both for human consumption and animal feed.<br> (iii) April 2019.- September 2019. <br> (iv) Species - N.A. <br> (v) PIRED facilities<br> (vi) Following different methodological tools was applied like: desk research, analysis of available quantitative historical data, interviews with key regional retailers and company managers, focus groups, benchmarking, expert analysis and expert drafting<br> (vii) detection of number of producers, utilized areas, processing infrastructure and development of recommendations for policy makers and local decision makers. <br> (viii) in progress<br> (ix) This document will have significant impact on policy, mainly on local level ( for local decision makers) because developed recommendations will gave an directions, guideline and examples of good practice.</p>
CS16: Policy for sustainable development ( development of "Croatian Case Study - Legumes: their potential role in Croatian agricultural production")
<p>(i)The main aim is to develop a document that will gave an overview of current situation regarding legumes consumption and production in Croatia and also to develop recommendations for policy makers. <br> (ii) Purpose of this Case Study and the whole project implementation is to raise awareness about consumption and production of legumes both for human consumption and animal feed.<br> (iii) April 2019.- September 2019. <br> (iv) Species - N.A. <br> (v) PIRED facilities</p>
'Signal integrity' in the Audiovisual Media Services Directive: Process, positions and policies examined and explained
<p>Tables 1 & 2 can be used as complementary material for readers of the forthcoming article (2021) in the Journal of Digital Media & Policy entitled <em>‘Signal integrity’ in the Audiovisual Media Services Directive: Process, positions and policies examined and explained.</em> Table 1 looks at the Mapping of modifications, processes and cases referred to by Article 7b and Recital 26 exemptions, while Table 2 presents the stakeholders' argumentation relating to signal integrity based on economic and cultural positions, and the scope of the measure. For the online version of the article, these tables are referred to in-text in the shape of hyperlinks and full links in the printed version.</p> <p>The article aims to get a broad picture of current practices, positions and policy on signal integrity. Based on the findings, this article proposes a clear framework for the implementation of Article 7b. It identifies the key considerations made in relation to exemptions and consent and reveals the positions of the key stakeholders and the vacuum that is exists at the level of MS regulation. Therefore, the concept of ‘signal integrity’ and the legal protections it sets on broadcasters’ signal will be explored.</p>
Artefact for Kaki: Concurrent Update Synthesis for Regular Policies via Petri Games
<p>This is the artefact for the paper "Kaki: Concurrent Update Synthesis for Regular Policies via Petri Games".</p> <p>The files in this package aim to assist you in running Kaki and generating the results presented in the paper. The details on running Kaki, generating the problems and reproducing the results can be read in the README.md file.</p>
Strategies for and Barriers to Collaboratively Developing Anti-racist Policies and Resources as Described by Geoscientists of Color Participating in the Unlearning Racism in Geoscience (URGE) Program
<p>The Unlearning Racism in Geosciences (URGE) program guides groups of geoscientists as they draft, implement, and assess anti-racist policies and resources for their workplace. Some participating Geoscientists of Color (GoC) shared concerns about microaggression, tokenism, and power struggles within their groups. These reports led us to collect and analyze data that describe the experiences of GoC in URGE. The data are from five discussion groups and two surveys. Our analyses revealed that participating GoC want to continue working with White colleagues on anti-racist work. GoC want White colleagues not to shy away from doing anti-racist work. Instead, GoC want White colleagues (1) to create and adhere to robust behavioral codes of conduct, (2) to focus discussions on anti-racism, (3) to act on anti-racism initiatives, (4) not to prompt GoC to educate them or reveal trauma, and (5) to refrain from microaggressions and tokenism. These desired outcomes were achieved in some groups with varying degrees of success. Correcting a history of mistrust relating to racism and anti-racism action is key to implementing and assessing effective anti-racist policies and resources. This requires leadership support, following through on anti-racism action, and deepening relationships between GoC and White colleagues. Future anti-racist programs should spend a substantial amount of time on and demonstrate the importance of training participants how to discuss racism effectively and how to create and adhere to robust behavioral codes of conduct. Future programs should also explore developing a robust program-wide code of conduct that includes a policy for reporting offenses.</p>
Designing Data Governance Policies for the Inclusive use of Artificial Intelligence in Africa
<p>Discussion: Designing Data Governance Policies for the Inclusive use of Artificial Intelligence in Africa.<br> Panel: Towards an Inclusive Data Governance Policy for the Use of AI in Africa<br> <br> </p>
Longitudinal corpus of privacy policies
<p>This is a corpus of 56,416 unique privacy policy texts spanning the years 1996-2021.</p> <ul> <li>policy-texts.zip contains a directory of text files with the policy texts. File names are the hashes of the policy text.</li> <li>policy-metadata.zip contains two CSV files (can be imported into a pandas dataframe) with policy metadata including readability measures for each policy text.</li> <li>labeled-policies.zip contains CSV files with content labels for each policy. Labeling was done using a BERT classifier.</li> </ul> <p>Details on the methodology can be found in the accompanying paper:</p> <p>Isabel Wagner. 2023. Privacy Policies across the Ages: Content of Privacy Policies 1996–2021. ACM Trans. Priv. Secur. 26, 3, Article 32 (August 2023), 32 pages. https://doi.org/10.1145/3590152</p>
Switching between Numerical Black-box Optimization Algorithms with Warm-starting Policies - Reproduction artifacts
<p># Reproducibility instructions</p> <p>This document details the steps to reproduce the results presented in the paper 'Chaining of Numerical Black-box Algorithms: Investigating the Impact of Warm-Starting and the Switching Point'</p> <p>## Algorithm code<br> The code for the individual algorithms and the switching routines is included in the 'dynas.zip' folder. </p> <p>## Data collection<br> To collect the performance data for the static algorithms, the file 'data_collection.py' can be used. This file runs all 5 static algorithm on the function suite used in the paper, using the 'ioh' package. To run it, please modify the 'ioh_dir' variable to a place where the data should be stored. <br> The resulting data is made available under the 'static.zip' file.</p> <p>## Processing code<br> The code which processes the performance data into the list of usecases is part of the 'Processing_R' notebook. <br> This results in a set of rds-files with the data in IOHanalyzer's internal format, and in a csv file ('Split_performances_relative.csv') with the selected usecases. </p> <p>This csv file can then be read in using the 'visualization' notebook, which can generate Figure 1 from the paper. This notebook can then be used to count the specific usecases, which is the data shown in Table 1. The csv-file containing the selected usecases ('usecases.csv') is also generated here.</p> <p>The 'usecases' csv file can be used in the 'Data_collection_switch' notebook to run the dynamic configurations. This results in the 'Dynamic.zip' data, which can again be read using IOHanalyzer in the 'Processing_R' notebook. This then generates several csv-files, for both the static and dynamic case, containing the per-run hitting times ('RT_samples.zip'). These are then used in the 'Visualization' notebook to generate figure 3 and 4, as well as table 2. </p> <p>## Countour plots<br> The code for generating Figure 5 is included in the end of the 'Visualization' notebook.</p> <p>## Performance comparison plot<br> Figure 6 has been generated using IOHanalyzer web-interface (iohanalyzer.liacs.nl), by uploading the files in 'cma_bfgs.zip'. </p> <p>## Switch point impact plot<br> Figure 7 has been generated using the 'split_experiment' notebook</p>
Replication files for "The role of actors' issue and sector specialization for policy integration in the parliamentary arena: An analysis of Swiss biodiversity policy using text as data"
<p>The ZIP file contains all data and code to replicate the analyses reported in the following paper.</p> <p>Reber, U., Ingold, K., & Fischer, M. (2023). The role of actors' issue and sector specialization for policy integration in the parliamentary arena: An analysis of Swiss biodiversity policy using text as data. <em>Policy Sciences</em>. <a href="https://doi.org/10.1007/s11077-022-09490-2">https://doi.org/10.1007/s11077-022-09490-2</a></p> <p>If you use any of the material included in this repository, please refer to the paper.</p>
Policies used in "Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark"
<p>Policies used in the paper "Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark". They can be tested using the software "OTTO-benchmark" available at https://github.com/auroreloisy/otto-benchmark.</p>
Optimal policy for uncertainty estimation concurrent with decision making
<p>Dataset for "Optimal policy for uncertainty estimation concurrent with decision making".</p> <p>The dataset should be merged into the code folder, thus the program can work.</p>
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.