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30 results for “public engagement”
STFC Astronomy and Artificial Intelligence Summer School with Public Engagement
<h3><strong>Context</strong></h3> <p><strong>Summer School. </strong>As part of the Epistemic Insight Initiative of the LASAR (Learning about Science and Religion) research and outreach centre, an <a href="https://futureofknowledge.com/summer-school/" target="_blank" rel="noopener">STFC Astronomy and Artificial Intelligence summer school with public engagement</a> was organised by Prof Berry Billingsley and Dr James Pearson, held over five days from 8th-12th July 2024 at Canterbury Christ Church University, Canterbury, UK. The summer school was aimed at astronomy PhD students as well as final year undergraduate & master's students in physics and computer science, and placed emphasis on a <a href="https://futureofknowledge.com/astronomy-and-ai-multidisciplinary-and-outreach/">multidisciplinary approach</a> of bringing together knowledge and researchers from different fields utilising AI, to devise solutions and create new opportunities. The summer school provided seminars, workshops and one-to-one conversations where participants could learn about current uses of AI, collaborate to co-create new projects and get expert perspectives on their work. Participants also explored and gained insights in three key areas:</p> <ol> <li>What are the roles of AI in astronomy and in the sciences more broadly?</li> <li>What do curiosity and knowledge creation look like in a world of AI?</li> <li>Public engagement and working with AI and immersive technologies to engage new audiences in astronomy, which involved outreach training.</li> </ol> <p><strong>Public Engagement. </strong>There was also the opportunity for attendees to participate in outreach training and contribute to a public engagement event for schools, involving working with immersive tech to communicate ideas in astronomy, and assessing generative AI as a tool for creating activities and puzzles relating to their work. The outputs of this can be found here: <a href="https://futureofknowledge.com/q-and-a-with-astronomers/">https://futureofknowledge.com/q-and-a-with-astronomers/</a></p> <p><strong>Specialist Event and Case Studies. </strong>As part of this summer school, an additional free <a href="https://futureofknowledge.com/astronomy-and-ai-online-event/" target="_blank" rel="noopener">Astronomy and AI Online Event</a> day was held the week before on Wednesday 3rd July 2024 to provide specialist talks and panel discussions about AI in astronomy, the recordings of which can be found here: <a href="../doi/10.5281/zenodo.12674685">https://zenodo.org/doi/10.5281/zenodo.12674685</a>. Alongside this event, a number of recorded case studies were released showcasing how researchers in astronomy are using AI and deep learning in their own work, which can be found here: <a href="../doi/10.5281/zenodo.12594632">https://zenodo.org/doi/10.5281/zenodo.12594632</a></p> <p><strong>Principal Investigator:</strong> Prof Berry Billingsley (Epistemic Insight Initiative)<br><strong>Project Manager:</strong> Dr James Pearson (The Open University)<strong><br>Video Editor:</strong> Mina Cullimore (Canterbury Christ Church University)</p> <h3><strong>Summer School Talks</strong></h3> <p>Here, we provide the recordings and presentation slides of the various talks. Below is an outline of the summer school's online/hybrid sessions - see the main website for the full timetable and more details about each talk.</p> <p><strong>Monday 08 July - Big Questions stimulus and introductions</strong><br>17.00-18.00 Plenary Session - <em>Workshop lead: Mina Cullimore and Berry Billingsley</em><br><strong>Tuesday 09 July - A multidisciplinary arena</strong><br>09.30-10.45 A review of yesterday and setting the agenda for today - <em>Berry Billingsley and Mina Cullimore</em><br>11.00-12.15 Thinking about astronomy and art – and working with virtual spaces - <em>Mina Cullimore</em><br>13.15-14.30 Cultural views of astronomy and archaeoastronomy - <em>Elfneh Bariso and Kevin Walsh</em><br>14.45-16.00 Working with GenAI and your tutor - <em>William Beckwith-Chandler and Kevin Walsh</em><br>16.15-17.30 Power & Problems of the Search and Generative AI Scenarios - <em>Ted Selker</em><br><strong>Wednesday 10 July - Welcome to LASAR at CCCU</strong><br>13.15-14.30 Explainable AI (XAI): AI for tomorrow's scientific computing - <em>Konstantinos Sirlantzis</em><br>14.45-16.00 The future of AI: the loss of uncertainty - <em>Philippe de Wilde</em><br>16.15-17.30 Big data in astronomy: contemplating a potential future - <em>Matthew Graham</em></p>
The models of protest policing during the Warsaw Police's engagement in public gatherings
<p>Rak Joanna and Owczarek, Karolina, <strong><span>The models of protest policing during the Warsaw Police’s engagement in public gatherings</span></strong>.</p> <p>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</p>
The stages of generating public engagement to control protest
<p>Rak Joanna, <span>The stages of generating public engagement to control protest</span>.</p> <p>This dataset was elaborated for the research project <em>Civil Disorder in Pandemic-ridden European Union</em>. The latter was financially supported by the National Science Centre, Poland [grant number 2021/43/B/HS5/00290].</p>
Dataset for the publication: User experience, game satisfaction and engagement with the virtual simulation VR FestLab for alcohol prevention: A quantitative analysis among Danish adolescents
<p>Anonymized dataset for the publication: User experience, game satisfaction and engagement with the virtual simulation VR FestLab for alcohol prevention: A quantitative analysis among Danish adolescents</p>
Dataset (n=1671) of the publication "Engaging small-scale private forest owners for transformative change towards integrative conservation"
<p>The excel file contains the replies of small-scale private forest owners in Lower Saxony, Germany, to certain questions of a survey analyzed within the following publication: “Engaging small-scale private forest owners for transformative change towards integrative conservation” .<br> <br> The questions and responses included in this dataset cover their objectives, management activities, perspectives, and forest stand structures. Further details are provided in the second sheet of the file called “Code explanation”.<br> <br> More information about the methods of data collection can be found in the before-mentioned publication.</p>
Patient and Public Involvement and Engagement in Research With Children and Young People With Sickle Cell Disorder and Their Families
ClinicalTrials.gov study NCT06293222. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Participant Engagement and Retention Trial in a Public Hospital (PERTH): An RCT Protocol
ClinicalTrials.gov study NCT03088501. IPD Sharing: NO. Countries: 1. Publications: 1.
Public Participation, Engagement and Climate Change Adaptation: A Review of the Research Literature – Scientometric Analysis
<p>Scientometric Analysis accompanying the journal article <a href="https://doi.org/10.1002/wcc.645"><em>Public Participation, Engagement and Climate Change Adaptation: A Review of the Research Literature</em></a></p>
Data from: Early Firm Engagement, Government Research Funding, and the Privatization of Public Knowledge
<p>This is a demo and partial dataset of a full dataset of paper- patent pair from chinese chemical scholars. The full dataset covers the published English papers and the paired patents by some of the scholars of the chemical and pharmaceutical field who received the Distinguished Young Scholars of the National Science Foundation of China (NSFC) during 2009–2018. Data related to the papers are obtained from the China National Knowledge Infrastructure (CNKI) and WoS; data related to the scholars are obtained from the NSFC website, the Ministry of Science and Technology of China (MSTC) website, and the scholars' home pages; and data related to the patents are obtained from the CNIPA website. The dataset also covers the data on the average number of patent infringement cases at the prefecture level from China Judgements Online (CJO) using crawlers and text mining techniques to reflect the degree of local intellectual property protection (IPR). Besides the paper information, the dataset also contains the corresponding scholars' funding information and the paired patents<a href="#_ftn1">[1]</a> information gathered through “patent–paper pairs.”</p> <p>This demo datasets covers about 1/15 samples of the full datast. The detail variable explanation will be found in the "label" and "Notes" column after every variable name in the DTA data file. As a series of related papers are published, we will gradually publish the full data set.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> A small number of papers may be paired with multiple patents. We deal with the situation of multiple paired patents when constructing variables. See “Variable” section of original paper for detailed illustrations. </p>
Work Engagement in the Public Service: a multicultural model
<p><strong>Database of the following article:</strong></p> <p>Abstract</p> <p>The objective of this study is to propose a model to measure work engagement in Brazilian and Portuguese public service. The research is supported by a review of the literature that seeks to delineate the area of organizational behavior, the cross-cultural studies and the hypothetical theoretical model, which presents the ontological vision of the work. The unit of analysis are public institutions of both countries, the sample, which is of the convenience type, was composed of 609 respondents public servants. Three research instruments were used: the Articulación entre la Persona y la organización (APO) of Ramos, Jordão and Morais (2012); the Escala de Satisfação no Trabalho (EST) by Siqueira (2008); and the Utrecht Work Engagement Scale (UWES) tool by Schaufeli, Bakkerand, Salanova (2006). The results did not reject the hypotheses of the model, both of the Portuguese and Brazilian samples, and the comparison between them shows that in general the Portuguese are more satisfied and more engaged in the work than the Brazilians. The exception was observed only in the hypothetical factors Promotion and Salary.</p>
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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.