標(biāo)題: Titlebook: Handbook of Computational Social Science for Policy; Eleonora Bertoni,Matteo Fontana,Michele Vespe Book‘‘‘‘‘‘‘‘ 2023 The Rightsholder (if [打印本頁(yè)] 作者: 聲音會(huì)爆炸 時(shí)間: 2025-3-21 17:05
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作者: 不在灌木叢中 時(shí)間: 2025-3-21 23:55 作者: 熟練 時(shí)間: 2025-3-22 01:39 作者: 光滑 時(shí)間: 2025-3-22 06:37 作者: incision 時(shí)間: 2025-3-22 10:49
Eryk Eisenberg,Elisabeth Gaertnercontrary, (big) data eventually unveil the complexity of socio-economic relations, which has been too often disregarded in traditional approaches. Consequently, this paradigm shift requires to develop new theories and modelling techniques to handle new types of information. In this chapter, we first作者: 新陳代謝 時(shí)間: 2025-3-22 15:02
Ultrasound in Large Vessel Vasculitis,vailable have many new features that allow for much more than to just monitor large aggregates’ evolution. Administrative data now collected has a degree of granularity that allows for causal analysis of policy measures. As a result, administrative data can support research, political decisions, and作者: 協(xié)奏曲 時(shí)間: 2025-3-22 17:59 作者: ANTI 時(shí)間: 2025-3-22 21:38
,Abdominal Ultrasound—Bowel and Peritoneum,ty of behavioural data in a society where the digital has been widely adopted is because of two reasons: first, the vast amount of digital traces produced by people in their daily lives and related behaviours and, second, the possibility of running online experiments that can cover a large segment o作者: 歡樂(lè)東方 時(shí)間: 2025-3-23 05:02 作者: Kernel 時(shí)間: 2025-3-23 07:01 作者: 神經(jīng) 時(shí)間: 2025-3-23 11:31 作者: 鉆孔 時(shí)間: 2025-3-23 14:04 作者: 截?cái)?nbsp; 時(shí)間: 2025-3-23 20:06
Guido Torzilli,Guido Costa,Florin Boteao perform tasks within jobs. Mitigating skills shortages in this dynamic world requires an adequate response from key stakeholders. However, recommendations derived from the traditional data sources, which lack granularity or are available with a significant time lag, may not address the emerging is作者: 無(wú)情 時(shí)間: 2025-3-23 23:37
Ultrasound-Guided Peripheral Nerve Blockse best use of the wealth of data and variety of models available to evaluate climate change policies. Here, we review the state of the art of numerical modelling and data science methods applied to policy evaluation. We emphasize that significant progress has been made but that critical social and e作者: milligram 時(shí)間: 2025-3-24 05:17
https://doi.org/10.1007/978-3-031-17562-6 Ws—what, who, when, and where—in order to understand the final “why” of disease. Anonymized digital trace data bring a new level of detail to contact networks, search engine and social media logs allow for the now-casting of symptoms and behaviours, and media sharing informs the formation of attitu作者: 解脫 時(shí)間: 2025-3-24 07:53
Giovanni Serafini,Francesca Lacellis; and the increasing accessibility of hands-on software allow the domain of learning analytics to flourish. Learning analytics, as in interdisciplinary domain borrowing from statistics, computer sciences and education, exploits the increased accessibility of technology to foster an optimal learning作者: 消滅 時(shí)間: 2025-3-24 12:01 作者: 不愿 時(shí)間: 2025-3-24 15:43
Computational Social Science for the Public Good: Towards a Taxonomy of Governance and Policy Challeet to translate into effective actions to strengthen public good in the form of policy insights and interventions. This chapter presents 20 limiting factors in how data is accessed and analysed in the field of CSS. The challenges are grouped into the following six categories based on their area of d作者: sundowning 時(shí)間: 2025-3-24 20:51
Data Justice, Computational Social Science and Policyities and behaviour visible in ways that were not previously possible. This kind of analysis, however, often has unforeseen implications for those who are the subjects of the research. This chapter asks what a social justice perspective can tell us about the potential, and the risks, of this kind of作者: 反對(duì) 時(shí)間: 2025-3-25 00:41
The Ethics of Computational Social ScienceIt aims to provide CSS scholars, as well as policymakers and other stakeholders who apply CSS methods, with the critical and constructive means needed to ensure that their practices are ethical, trustworthy, and responsible. It begins by providing a taxonomy of the ethical challenges faced by resear作者: Root494 時(shí)間: 2025-3-25 04:37
Modelling Complexity with Unconventional Data: Foundational Issues in Computational Social Sciencecontrary, (big) data eventually unveil the complexity of socio-economic relations, which has been too often disregarded in traditional approaches. Consequently, this paradigm shift requires to develop new theories and modelling techniques to handle new types of information. In this chapter, we first作者: 預(yù)感 時(shí)間: 2025-3-25 07:49
From Lack of Data to Data Unlockingvailable have many new features that allow for much more than to just monitor large aggregates’ evolution. Administrative data now collected has a degree of granularity that allows for causal analysis of policy measures. As a result, administrative data can support research, political decisions, and作者: 起來(lái)了 時(shí)間: 2025-3-25 15:05
Natural Language Processing for Policymakingrse text into key information that is needed for policymaking. In this chapter, we introduce common methods of NLP, including text classification, topic modelling, event extraction, and text scaling. We then overview how these methods can be used for policymaking through four major applications incl作者: delta-waves 時(shí)間: 2025-3-25 16:19
Describing Human Behaviour Through Computational Social Sciencety of behavioural data in a society where the digital has been widely adopted is because of two reasons: first, the vast amount of digital traces produced by people in their daily lives and related behaviours and, second, the possibility of running online experiments that can cover a large segment o作者: jealousy 時(shí)間: 2025-3-25 20:24
Data and Modelling for the Territorial Impact Assessment (TIA) of Policiesies are thematically holistic and multi-dimensional and require the analysis of a wide pool of data, not only of economic character but also related with social, environmental, governance and planning processes, in all territorial scales. For that, TIA requires a wealth of comparable and updated ter作者: Hiatal-Hernia 時(shí)間: 2025-3-26 00:49
Challenges and Opportunities of Computational Social Science for Official Statisticsin a computational context, that allows to fully extract their informational and knowledge value. In the latest years, statistical offices have made efforts to profit from harnessing the potential offered by these new sources of data, with promising results. But how difficult is this integration pro作者: Incisor 時(shí)間: 2025-3-26 08:01 作者: 凹槽 時(shí)間: 2025-3-26 12:08
Big Data and Computational Social Science for Economic Analysis and Policydatasets is that they provide very detailed information about economic behaviour and decisions which has spurred research aiming at answering long-standing economic questions. Another relevant characteristic of these datasets is that they might be available in real time, a property that can be used 作者: 大約冬季 時(shí)間: 2025-3-26 16:34 作者: Obverse 時(shí)間: 2025-3-26 18:49 作者: Notorious 時(shí)間: 2025-3-26 22:38 作者: Orchiectomy 時(shí)間: 2025-3-27 04:47
Learning Analytics in Education for the Twenty-First Centurys; and the increasing accessibility of hands-on software allow the domain of learning analytics to flourish. Learning analytics, as in interdisciplinary domain borrowing from statistics, computer sciences and education, exploits the increased accessibility of technology to foster an optimal learning作者: Vaginismus 時(shí)間: 2025-3-27 05:16 作者: 易于交談 時(shí)間: 2025-3-27 11:36
Eleonora Bertoni,Matteo Fontana,Michele VespeThis book is open access, which means that you have free and unlimited access.Proposes how to analyse and model data for policy support by exploiting CSS methods for policy.Applies CSS methods in vari作者: 美麗的寫 時(shí)間: 2025-3-27 16:18 作者: 分發(fā) 時(shí)間: 2025-3-27 18:48
https://doi.org/10.1007/978-3-031-16624-2Open Access; Computational Social Science; Data Science; Big Data Analytics; Statistical Learning; Machin作者: bifurcate 時(shí)間: 2025-3-28 00:00
ultrasound in gynecology and obstetricsuding data collection for evidence-based policymaking, interpretation of political decisions, policy communication, and investigation of policy effects. Finally, we highlight some potential limitations and ethical concerns when using NLP for policymaking.作者: 考得 時(shí)間: 2025-3-28 04:29
https://doi.org/10.1007/978-3-642-70989-0to construct economic indicators at high frequencies. Overall, big alternative datasets have the potential to make an impact on economic research and policy and to complement the information used by governmental agencies to produce the official statistics.作者: 任命 時(shí)間: 2025-3-28 07:54
Natural Language Processing for Policymakinguding data collection for evidence-based policymaking, interpretation of political decisions, policy communication, and investigation of policy effects. Finally, we highlight some potential limitations and ethical concerns when using NLP for policymaking.作者: 乏味 時(shí)間: 2025-3-28 12:50 作者: 字的誤用 時(shí)間: 2025-3-28 14:56 作者: 欄桿 時(shí)間: 2025-3-28 20:16
Ultrasound Evaluation of Ovaries, Through this chapter, we seek to construct a taxonomy of CSS governance and policy challenges. By first identifying the problems, we can then move to effectively address them through research, funding, and governance agendas that drive stronger outcomes.作者: 招待 時(shí)間: 2025-3-29 01:23 作者: DEMN 時(shí)間: 2025-3-29 06:27
Computational Social Science for the Public Good: Towards a Taxonomy of Governance and Policy Challe Through this chapter, we seek to construct a taxonomy of CSS governance and policy challenges. By first identifying the problems, we can then move to effectively address them through research, funding, and governance agendas that drive stronger outcomes.作者: 和平主義 時(shí)間: 2025-3-29 07:25 作者: 終端 時(shí)間: 2025-3-29 13:59
xploiting CSS methods for policy.Applies CSS methods in vari.This open access handbook describes foundational issues, methodological approaches and examples on how to analyse and model data using Computational Social Science (CSS) for policy support. Up to now, CSS studies have mostly developed on a作者: Rheumatologist 時(shí)間: 2025-3-29 16:37 作者: pineal-gland 時(shí)間: 2025-3-29 23:18
Ultrasound of the Male Genitalian-traditional data. It will then present some experiments and proofs of concept in the context of data innovation for official statistics, followed by a discussion on prospective challenges related to sustainable data access, new technical and methodological approaches and effective use of new sources of data.作者: 租約 時(shí)間: 2025-3-30 00:24 作者: 表兩個(gè) 時(shí)間: 2025-3-30 08:03 作者: anarchist 時(shí)間: 2025-3-30 08:47 作者: 鋼盔 時(shí)間: 2025-3-30 15:33
https://doi.org/10.1007/978-1-4613-4021-8ese be applied to CSS research, and what kind of assessment is appropriate? The analysis offers two main conclusions: first, that the field of CSS has evolved without an accompanying evolution of debates on ethics and justice and that these debates are long overdue. Second, that CSS is privileged as作者: Innocence 時(shí)間: 2025-3-30 19:49
https://doi.org/10.1007/978-1-4613-4443-8n (RRI) into CSS practices, focusing on the role that contextual considerations, anticipatory reflection, impact assessment, public engagement, and justifiable and well-documented action should play across the research lifecycle. In proposing the inclusion of habits of RRI in CSS practices, the chap作者: Thyroxine 時(shí)間: 2025-3-31 00:21
Eryk Eisenberg,Elisabeth Gaertnerto deal with such a complexity establishes a new framework for policy analysis. Policy makers can now rely on positive and quantitative instruments, helpful in understanding both the present scenarios and their future complex developments, although profoundly different from the standard experimental作者: CRP743 時(shí)間: 2025-3-31 03:30
Ultrasound in Large Vessel Vasculitis, In this vein, this chapter discusses challenges and progress in the use of new data sources for policy causal research in social sciences, with a focus on economics. Its underlying concerns are the challenges and benefits of causal analysis for the effectiveness of policies. A first section lists s作者: 流利圓滑 時(shí)間: 2025-3-31 05:50
https://doi.org/10.1007/978-3-642-84221-4e use of non-traditional data, to complement mainstream statistical indicators associated with socioeconomic development trends. However, for the interested scientist, the dispersal of existing non-traditional data per a multitude of sources can pose a huge challenge. Hence the need of an online pla
