---
_id: '45484'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>Graffiti is an urban phenomenon that
    is increasingly attracting the interest of the sciences. To the best of our knowledge,
    no suitable data corpora are available for systematic research until now. The
    Information System Graffiti in Germany project (<jats:sc>Ingrid</jats:sc>) closes
    this gap by dealing with graffiti image collections that have been made available
    to the project for public use. Within <jats:sc>Ingrid</jats:sc>, the graffiti
    images are collected, digitized and annotated. With this work, we aim to support
    the rapid access to a comprehensive data source on <jats:sc>Ingrid</jats:sc> targeted
    especially by researchers. In particular, we present <jats:sc>Ingrid</jats:sc>KG,
    an RDF knowledge graph of annotated graffiti, abides by the Linked Data and FAIR
    principles. We weekly update <jats:sc>Ingrid</jats:sc>KG by augmenting the new
    annotated graffiti to our knowledge graph. Our generation pipeline applies RDF
    data conversion, link discovery and data fusion approaches to the original data.
    The current version of <jats:sc>Ingrid</jats:sc>KG contains 460,640,154 triples
    and is linked to 3 other knowledge graphs by over 200,000 links. In our use case
    studies, we demonstrate the usefulness of our knowledge graph for different applications.</jats:p>
article_number: '318'
author:
- first_name: Mohamed Ahmed
  full_name: Sherif, Mohamed Ahmed
  last_name: Sherif
- first_name: Ana Alexandra Morim
  full_name: da Silva, Ana Alexandra Morim
  last_name: da Silva
- first_name: Svetlana
  full_name: Pestryakova, Svetlana
  last_name: Pestryakova
- first_name: Abdullah Fathi
  full_name: Ahmed, Abdullah Fathi
  last_name: Ahmed
- first_name: Sven
  full_name: Niemann, Sven
  last_name: Niemann
- first_name: Axel-Cyrille Ngonga
  full_name: Ngomo, Axel-Cyrille Ngonga
  last_name: Ngomo
citation:
  ama: 'Sherif MA, da Silva AAM, Pestryakova S, Ahmed AF, Niemann S, Ngomo A-CN. IngridKG:
    A FAIR Knowledge Graph of Graffiti. <i>Scientific Data</i>. 2023;10(1). doi:<a
    href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>'
  apa: 'Sherif, M. A., da Silva, A. A. M., Pestryakova, S., Ahmed, A. F., Niemann,
    S., &#38; Ngomo, A.-C. N. (2023). IngridKG: A FAIR Knowledge Graph of Graffiti.
    <i>Scientific Data</i>, <i>10</i>(1), Article 318. <a href="https://doi.org/10.1038/s41597-023-02199-8">https://doi.org/10.1038/s41597-023-02199-8</a>'
  bibtex: '@article{Sherif_da Silva_Pestryakova_Ahmed_Niemann_Ngomo_2023, title={IngridKG:
    A FAIR Knowledge Graph of Graffiti}, volume={10}, DOI={<a href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>},
    number={1318}, journal={Scientific Data}, publisher={Springer Science and Business
    Media LLC}, author={Sherif, Mohamed Ahmed and da Silva, Ana Alexandra Morim and
    Pestryakova, Svetlana and Ahmed, Abdullah Fathi and Niemann, Sven and Ngomo, Axel-Cyrille
    Ngonga}, year={2023} }'
  chicago: 'Sherif, Mohamed Ahmed, Ana Alexandra Morim da Silva, Svetlana Pestryakova,
    Abdullah Fathi Ahmed, Sven Niemann, and Axel-Cyrille Ngonga Ngomo. “IngridKG:
    A FAIR Knowledge Graph of Graffiti.” <i>Scientific Data</i> 10, no. 1 (2023).
    <a href="https://doi.org/10.1038/s41597-023-02199-8">https://doi.org/10.1038/s41597-023-02199-8</a>.'
  ieee: 'M. A. Sherif, A. A. M. da Silva, S. Pestryakova, A. F. Ahmed, S. Niemann,
    and A.-C. N. Ngomo, “IngridKG: A FAIR Knowledge Graph of Graffiti,” <i>Scientific
    Data</i>, vol. 10, no. 1, Art. no. 318, 2023, doi: <a href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>.'
  mla: 'Sherif, Mohamed Ahmed, et al. “IngridKG: A FAIR Knowledge Graph of Graffiti.”
    <i>Scientific Data</i>, vol. 10, no. 1, 318, Springer Science and Business Media
    LLC, 2023, doi:<a href="https://doi.org/10.1038/s41597-023-02199-8">10.1038/s41597-023-02199-8</a>.'
  short: M.A. Sherif, A.A.M. da Silva, S. Pestryakova, A.F. Ahmed, S. Niemann, A.-C.N.
    Ngomo, Scientific Data 10 (2023).
date_created: 2023-06-06T09:12:39Z
date_updated: 2023-06-06T09:17:10Z
department:
- _id: '574'
- _id: '115'
doi: 10.1038/s41597-023-02199-8
intvolume: '        10'
issue: '1'
keyword:
- Library and Information Sciences
- Statistics
- Probability and Uncertainty
- Computer Science Applications
- Education
- Information Systems
- Statistics and Probability
language:
- iso: eng
project:
- _id: '104'
  grant_number: '289287267'
  name: 'INGRID: INGRID: Informationssystem Graffiti in Deutschland'
publication: Scientific Data
publication_identifier:
  issn:
  - 2052-4463
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'IngridKG: A FAIR Knowledge Graph of Graffiti'
type: journal_article
user_id: '6593'
volume: 10
year: '2023'
...
---
_id: '32335'
abstract:
- lang: eng
  text: Aspects of data science surround us in many contexts, for example regarding
    climate change, air pollution, and other environmental issues. To open the “data-science-black-box”
    for lower secondary school students we developed a data science project focussing
    on the analysis of self-collected environmental data. We embed this project in
    computer science education, which enables us to use a new knowledge-based programming
    approach for the data analysis within Jupyter Notebooks and the programming language
    Python. In this paper, we evaluate the second cycle of this project which took
    place in a ninth-grade computer science class. In particular, we present how the
    students coped with the professional tool of Jupyter Notebooks for doing statistical
    investigations and which insights they gained.
article_number: '6'
author:
- first_name: SUSANNE
  full_name: PODWORNY, SUSANNE
  last_name: PODWORNY
- first_name: Sven
  full_name: Hüsing, Sven
  id: '58465'
  last_name: Hüsing
- first_name: CARSTEN
  full_name: SCHULTE, CARSTEN
  last_name: SCHULTE
citation:
  ama: 'PODWORNY S, Hüsing S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL:
    BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS EDUCATION RESEARCH
    JOURNAL</i>. 2022;21(2). doi:<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>'
  apa: 'PODWORNY, S., Hüsing, S., &#38; SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE
    PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS
    EDUCATION RESEARCH JOURNAL</i>, <i>21</i>(2), Article 6. <a href="https://doi.org/10.52041/serj.v21i2.46">https://doi.org/10.52041/serj.v21i2.46</a>'
  bibtex: '@article{PODWORNY_Hüsing_SCHULTE_2022, title={A PLACE FOR A DATA SCIENCE
    PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}, volume={21},
    DOI={<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>},
    number={26}, journal={STATISTICS EDUCATION RESEARCH JOURNAL}, publisher={International
    Association for Statistical Education}, author={PODWORNY, SUSANNE and Hüsing,
    Sven and SCHULTE, CARSTEN}, year={2022} }'
  chicago: 'PODWORNY, SUSANNE, Sven Hüsing, and CARSTEN SCHULTE. “A PLACE FOR A DATA
    SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” <i>STATISTICS
    EDUCATION RESEARCH JOURNAL</i> 21, no. 2 (2022). <a href="https://doi.org/10.52041/serj.v21i2.46">https://doi.org/10.52041/serj.v21i2.46</a>.'
  ieee: 'S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT
    IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” <i>STATISTICS EDUCATION
    RESEARCH JOURNAL</i>, vol. 21, no. 2, Art. no. 6, 2022, doi: <a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>.'
  mla: 'PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN
    STATISTICS AND EPISTEMIC PROGRAMMING.” <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>,
    vol. 21, no. 2, 6, International Association for Statistical Education, 2022,
    doi:<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>.'
  short: S. PODWORNY, S. Hüsing, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL
    21 (2022).
date_created: 2022-07-08T12:06:48Z
date_updated: 2022-07-08T12:07:46Z
department:
- _id: '67'
doi: 10.52041/serj.v21i2.46
intvolume: '        21'
issue: '2'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
publication: STATISTICS EDUCATION RESEARCH JOURNAL
publication_identifier:
  issn:
  - 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: 'A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC
  PROGRAMMING'
type: journal_article
user_id: '58465'
volume: 21
year: '2022'
...
---
_id: '34200'
abstract:
- lang: eng
  text: <jats:p>Praxeologische Kompetenzansätze verstehen Kompetenz als sozial erlernt
    und folglich als relativ zum sozialen Kontext. Damit einher geht die Frage, wie
    solche praxeologisch gerahmten Kompetenzen eigentlich unabhängig von der sie hervorbringenden
    Praxis evaluiert werden können – und eben dadurch erst für einen breiteren Kompetenzdiskurs
    fruchtbar sind. Die Dokumentarische Evaluationsforschung bietet hierzu erste Anhaltspunkte,
    offenbart aber auch Grenzen, die mit dem Evaluationsverständnis zusammenhängen,
    sich jedoch in der Forschungspraxis so nicht finden lassen. Aus der Differenz
    zwischen Methode und Praxis dokumentarischer Evaluation lässt sich formulieren,
    wie eine praxeologische Evaluation gestaltet werden könnte. Dabei spielt die Formulierung
    von Referenzrahmen eine zentrale Rolle, welche einerseits der zu evaluierenden
    Praktik external sein, andererseits praktisch formuliert werden müssen, damit
    sie soziale Praktiken jenseits ihrer eigenen Sinnhaftigkeit evaluativ (er-)fassen
    können.</jats:p>
author:
- first_name: Thiemo
  full_name: Bloh, Thiemo
  last_name: Bloh
citation:
  ama: Bloh T. Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse.
    Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung.
    <i>Zeitschrift für Evaluation</i>. 2022;2022(02):193-215. doi:<a href="https://doi.org/10.31244/zfe.2022.02.02">10.31244/zfe.2022.02.02</a>
  apa: Bloh, T. (2022). Rekonstruktive Evaluationsforschung im Kontext praxeologischer
    Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen
    Evaluationsforschung. <i>Zeitschrift für Evaluation</i>, <i>2022</i>(02), 193–215.
    <a href="https://doi.org/10.31244/zfe.2022.02.02">https://doi.org/10.31244/zfe.2022.02.02</a>
  bibtex: '@article{Bloh_2022, title={Rekonstruktive Evaluationsforschung im Kontext
    praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen
    zur Dokumentarischen Evaluationsforschung}, volume={2022}, DOI={<a href="https://doi.org/10.31244/zfe.2022.02.02">10.31244/zfe.2022.02.02</a>},
    number={02}, journal={Zeitschrift für Evaluation}, publisher={Waxmann}, author={Bloh,
    Thiemo}, year={2022}, pages={193–215} }'
  chicago: 'Bloh, Thiemo. “Rekonstruktive Evaluationsforschung im Kontext praxeologischer
    Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen
    Evaluationsforschung.” <i>Zeitschrift für Evaluation</i> 2022, no. 02 (2022):
    193–215. <a href="https://doi.org/10.31244/zfe.2022.02.02">https://doi.org/10.31244/zfe.2022.02.02</a>.'
  ieee: 'T. Bloh, “Rekonstruktive Evaluationsforschung im Kontext praxeologischer
    Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen
    Evaluationsforschung,” <i>Zeitschrift für Evaluation</i>, vol. 2022, no. 02, pp.
    193–215, 2022, doi: <a href="https://doi.org/10.31244/zfe.2022.02.02">10.31244/zfe.2022.02.02</a>.'
  mla: Bloh, Thiemo. “Rekonstruktive Evaluationsforschung im Kontext praxeologischer
    Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen
    Evaluationsforschung.” <i>Zeitschrift für Evaluation</i>, vol. 2022, no. 02, Waxmann,
    2022, pp. 193–215, doi:<a href="https://doi.org/10.31244/zfe.2022.02.02">10.31244/zfe.2022.02.02</a>.
  short: T. Bloh, Zeitschrift für Evaluation 2022 (2022) 193–215.
date_created: 2022-12-05T13:25:58Z
date_updated: 2022-12-05T13:26:35Z
department:
- _id: '4'
doi: 10.31244/zfe.2022.02.02
intvolume: '      2022'
issue: '02'
keyword:
- Strategy and Management
- Applied Psychology
- Social Sciences (miscellaneous)
- Education
- Communication
- Statistics and Probability
language:
- iso: ger
page: 193-215
publication: Zeitschrift für Evaluation
publication_identifier:
  issn:
  - 1619-5515
  - 2699-5506
publication_status: published
publisher: Waxmann
quality_controlled: '1'
status: public
title: Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse.
  Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung
type: journal_article
user_id: '69383'
volume: 2022
year: '2022'
...
---
_id: '48108'
abstract:
- lang: eng
  text: <jats:p>Aspects of data science surround us in many contexts, for example
    regarding climate change, air pollution, and other environmental issues. To open
    the “data-science-black-box” for lower secondary school students we developed
    a data science project focussing on the analysis of self-collected environmental
    data. We embed this project in computer science education, which enables us to
    use a new knowledge-based programming approach for the data analysis within Jupyter
    Notebooks and the programming language Python. In this paper, we evaluate the
    second cycle of this project which took place in a ninth-grade computer science
    class. In particular, we present how the students coped with the professional
    tool of Jupyter Notebooks for doing statistical investigations and which insights
    they gained.</jats:p>
article_number: '6'
author:
- first_name: SUSANNE
  full_name: PODWORNY, SUSANNE
  last_name: PODWORNY
- first_name: SVEN
  full_name: HÜSING, SVEN
  last_name: HÜSING
- first_name: CARSTEN
  full_name: SCHULTE, CARSTEN
  last_name: SCHULTE
citation:
  ama: 'PODWORNY S, HÜSING S, SCHULTE C. A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL:
    BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS EDUCATION RESEARCH
    JOURNAL</i>. 2022;21(2). doi:<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>'
  apa: 'PODWORNY, S., HÜSING, S., &#38; SCHULTE, C. (2022). A PLACE FOR A DATA SCIENCE
    PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING. <i>STATISTICS
    EDUCATION RESEARCH JOURNAL</i>, <i>21</i>(2), Article 6. <a href="https://doi.org/10.52041/serj.v21i2.46">https://doi.org/10.52041/serj.v21i2.46</a>'
  bibtex: '@article{PODWORNY_HÜSING_SCHULTE_2022, title={A PLACE FOR A DATA SCIENCE
    PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING}, volume={21},
    DOI={<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>},
    number={26}, journal={STATISTICS EDUCATION RESEARCH JOURNAL}, publisher={International
    Association for Statistical Education}, author={PODWORNY, SUSANNE and HÜSING,
    SVEN and SCHULTE, CARSTEN}, year={2022} }'
  chicago: 'PODWORNY, SUSANNE, SVEN HÜSING, and CARSTEN SCHULTE. “A PLACE FOR A DATA
    SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING.” <i>STATISTICS
    EDUCATION RESEARCH JOURNAL</i> 21, no. 2 (2022). <a href="https://doi.org/10.52041/serj.v21i2.46">https://doi.org/10.52041/serj.v21i2.46</a>.'
  ieee: 'S. PODWORNY, S. HÜSING, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT
    IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” <i>STATISTICS EDUCATION
    RESEARCH JOURNAL</i>, vol. 21, no. 2, Art. no. 6, 2022, doi: <a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>.'
  mla: 'PODWORNY, SUSANNE, et al. “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN
    STATISTICS AND EPISTEMIC PROGRAMMING.” <i>STATISTICS EDUCATION RESEARCH JOURNAL</i>,
    vol. 21, no. 2, 6, International Association for Statistical Education, 2022,
    doi:<a href="https://doi.org/10.52041/serj.v21i2.46">10.52041/serj.v21i2.46</a>.'
  short: S. PODWORNY, S. HÜSING, C. SCHULTE, STATISTICS EDUCATION RESEARCH JOURNAL
    21 (2022).
date_created: 2023-10-17T05:59:38Z
date_updated: 2023-10-17T06:01:58Z
doi: 10.52041/serj.v21i2.46
intvolume: '        21'
issue: '2'
keyword:
- Education
- Statistics and Probability
publication: STATISTICS EDUCATION RESEARCH JOURNAL
publication_identifier:
  issn:
  - 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: 'A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC
  PROGRAMMING'
type: journal_article
user_id: '30619'
volume: 21
year: '2022'
...
---
_id: '34920'
abstract:
- lang: eng
  text: <jats:p>A very warm welcome to this Special Issue of the Statistics Education
    Research Journal (SERJ) on data science education. Our hope is to give an overview
    of selected theoretical thoughts and empirical studies on data science education
    from a statistics education research perspective. Data science education is rapidly
    developing but research into data science education is still in its infancy. The
    current issue presents a snapshot of this developing field.</jats:p>
article_number: '1'
author:
- first_name: Rolf
  full_name: Biehler, Rolf
  id: '16274'
  last_name: Biehler
- first_name: Richard
  full_name: De Veaux, Richard
  last_name: De Veaux
- first_name: Joachim
  full_name: Engel, Joachim
  last_name: Engel
- first_name: Sibel
  full_name: Kazak, Sibel
  last_name: Kazak
- first_name: Daniel
  full_name: Frischemeier, Daniel
  last_name: Frischemeier
citation:
  ama: 'Biehler R, De Veaux R, Engel J, Kazak S, Frischemeier D. Editorial: Research
    on Data Science Education. <i>Statistics Education Research Journal</i>. 2022;21(2).
    doi:<a href="https://doi.org/10.52041/serj.v21i2.606">10.52041/serj.v21i2.606</a>'
  apa: 'Biehler, R., De Veaux, R., Engel, J., Kazak, S., &#38; Frischemeier, D. (2022).
    Editorial: Research on Data Science Education. <i>Statistics Education Research
    Journal</i>, <i>21</i>(2), Article 1. <a href="https://doi.org/10.52041/serj.v21i2.606">https://doi.org/10.52041/serj.v21i2.606</a>'
  bibtex: '@article{Biehler_De Veaux_Engel_Kazak_Frischemeier_2022, title={Editorial:
    Research on Data Science Education}, volume={21}, DOI={<a href="https://doi.org/10.52041/serj.v21i2.606">10.52041/serj.v21i2.606</a>},
    number={21}, journal={Statistics Education Research Journal}, publisher={International
    Association for Statistical Education}, author={Biehler, Rolf and De Veaux, Richard
    and Engel, Joachim and Kazak, Sibel and Frischemeier, Daniel}, year={2022} }'
  chicago: 'Biehler, Rolf, Richard De Veaux, Joachim Engel, Sibel Kazak, and Daniel
    Frischemeier. “Editorial: Research on Data Science Education.” <i>Statistics Education
    Research Journal</i> 21, no. 2 (2022). <a href="https://doi.org/10.52041/serj.v21i2.606">https://doi.org/10.52041/serj.v21i2.606</a>.'
  ieee: 'R. Biehler, R. De Veaux, J. Engel, S. Kazak, and D. Frischemeier, “Editorial:
    Research on Data Science Education,” <i>Statistics Education Research Journal</i>,
    vol. 21, no. 2, Art. no. 1, 2022, doi: <a href="https://doi.org/10.52041/serj.v21i2.606">10.52041/serj.v21i2.606</a>.'
  mla: 'Biehler, Rolf, et al. “Editorial: Research on Data Science Education.” <i>Statistics
    Education Research Journal</i>, vol. 21, no. 2, 1, International Association for
    Statistical Education, 2022, doi:<a href="https://doi.org/10.52041/serj.v21i2.606">10.52041/serj.v21i2.606</a>.'
  short: R. Biehler, R. De Veaux, J. Engel, S. Kazak, D. Frischemeier, Statistics
    Education Research Journal 21 (2022).
date_created: 2022-12-23T11:20:39Z
date_updated: 2024-04-18T09:45:53Z
department:
- _id: '363'
doi: 10.52041/serj.v21i2.606
intvolume: '        21'
issue: '2'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
publication: Statistics Education Research Journal
publication_identifier:
  issn:
  - 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: 'Editorial: Research on Data Science Education'
type: journal_article
user_id: '37888'
volume: 21
year: '2022'
...
---
_id: '50024'
author:
- first_name: Yuanhua
  full_name: Feng, Yuanhua
  last_name: Feng
- first_name: Thomas
  full_name: Gries, Thomas
  last_name: Gries
- first_name: Sebastian
  full_name: Letmathe, Sebastian
  last_name: Letmathe
- first_name: Dominik
  full_name: Schulz, Dominik
  last_name: Schulz
citation:
  ama: Feng Y, Gries T, Letmathe S, Schulz D. The smoots Package in R for Semiparametric
    Modeling of Trend Stationary Time Series. <i>The R Journal</i>. 2022;14(1):182-195.
    doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>
  apa: Feng, Y., Gries, T., Letmathe, S., &#38; Schulz, D. (2022). The smoots Package
    in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>,
    <i>14</i>(1), 182–195. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>
  bibtex: '@article{Feng_Gries_Letmathe_Schulz_2022, title={The smoots Package in
    R for Semiparametric Modeling of Trend Stationary Time Series}, volume={14}, DOI={<a
    href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>}, number={1},
    journal={The R Journal}, publisher={The R Foundation}, author={Feng, Yuanhua and
    Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}, year={2022}, pages={182–195}
    }'
  chicago: 'Feng, Yuanhua, Thomas Gries, Sebastian Letmathe, and Dominik Schulz. “The
    Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.”
    <i>The R Journal</i> 14, no. 1 (2022): 182–95. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>.'
  ieee: 'Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for
    Semiparametric Modeling of Trend Stationary Time Series,” <i>The R Journal</i>,
    vol. 14, no. 1, pp. 182–195, 2022, doi: <a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.'
  mla: Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling
    of Trend Stationary Time Series.” <i>The R Journal</i>, vol. 14, no. 1, The R
    Foundation, 2022, pp. 182–95, doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.
  short: Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.
date_created: 2023-12-21T12:09:31Z
date_updated: 2024-06-12T12:57:13Z
department:
- _id: '475'
- _id: '19'
- _id: '200'
doi: 10.32614/rj-2022-017
intvolume: '        14'
issue: '1'
keyword:
- Statistics
- Probability and Uncertainty
- Numerical Analysis
- Statistics and Probability
language:
- iso: eng
page: 182-195
publication: The R Journal
publication_identifier:
  issn:
  - 2073-4859
publication_status: published
publisher: The R Foundation
status: public
title: The smoots Package in R for Semiparametric Modeling of Trend Stationary Time
  Series
type: journal_article
user_id: '186'
volume: 14
year: '2022'
...
---
_id: '35672'
abstract:
- lang: eng
  text: <jats:p>This study examines modelling with machine learning. In the context
    of a yearlong data science course, the study explores how upper secondary students
    apply machine learning with Jupyter Notebooks and document the modelling process
    as a computational essay incorporating the different steps of the CRISP-DM cycle.
    The students’ work is based on a teaching module about decision trees in machine
    learning and a worked example of such a modelling process. The study outlines
    the students’ performance in carrying out the machine learning technically and
    reasoning about bias in the data, different data preparation steps, the application
    context, and the resulting decision model. Furthermore, the context of the study
    and the theoretical backgrounds are presented.</jats:p>
article_number: '7'
author:
- first_name: Franz Yannik
  full_name: Fleischer, Franz Yannik
  id: '42660'
  last_name: Fleischer
  orcid: https://orcid.org/0000-0003-0318-0329
- first_name: Rolf
  full_name: Biehler, Rolf
  id: '16274'
  last_name: Biehler
- first_name: Carsten
  full_name: Schulte, Carsten
  id: '60311'
  last_name: Schulte
citation:
  ama: Fleischer FY, Biehler R, Schulte C. Teaching and Learning Data-Driven Machine
    Learning with Educationally Designed Jupyter Notebooks. <i>Statistics Education
    Research Journal</i>. 2022;21(2). doi:<a href="https://doi.org/10.52041/serj.v21i2.61">10.52041/serj.v21i2.61</a>
  apa: Fleischer, F. Y., Biehler, R., &#38; Schulte, C. (2022). Teaching and Learning
    Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks. <i>Statistics
    Education Research Journal</i>, <i>21</i>(2), Article 7. <a href="https://doi.org/10.52041/serj.v21i2.61">https://doi.org/10.52041/serj.v21i2.61</a>
  bibtex: '@article{Fleischer_Biehler_Schulte_2022, title={Teaching and Learning Data-Driven
    Machine Learning with Educationally Designed Jupyter Notebooks}, volume={21},
    DOI={<a href="https://doi.org/10.52041/serj.v21i2.61">10.52041/serj.v21i2.61</a>},
    number={27}, journal={Statistics Education Research Journal}, publisher={International
    Association for Statistical Education}, author={Fleischer, Franz Yannik and Biehler,
    Rolf and Schulte, Carsten}, year={2022} }'
  chicago: Fleischer, Franz Yannik, Rolf Biehler, and Carsten Schulte. “Teaching and
    Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks.”
    <i>Statistics Education Research Journal</i> 21, no. 2 (2022). <a href="https://doi.org/10.52041/serj.v21i2.61">https://doi.org/10.52041/serj.v21i2.61</a>.
  ieee: 'F. Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven
    Machine Learning with Educationally Designed Jupyter Notebooks,” <i>Statistics
    Education Research Journal</i>, vol. 21, no. 2, Art. no. 7, 2022, doi: <a href="https://doi.org/10.52041/serj.v21i2.61">10.52041/serj.v21i2.61</a>.'
  mla: Fleischer, Franz Yannik, et al. “Teaching and Learning Data-Driven Machine
    Learning with Educationally Designed Jupyter Notebooks.” <i>Statistics Education
    Research Journal</i>, vol. 21, no. 2, 7, International Association for Statistical
    Education, 2022, doi:<a href="https://doi.org/10.52041/serj.v21i2.61">10.52041/serj.v21i2.61</a>.
  short: F.Y. Fleischer, R. Biehler, C. Schulte, Statistics Education Research Journal
    21 (2022).
date_created: 2023-01-10T08:48:23Z
date_updated: 2024-08-21T10:04:41Z
department:
- _id: '363'
- _id: '67'
doi: 10.52041/serj.v21i2.61
intvolume: '        21'
issue: '2'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
publication: Statistics Education Research Journal
publication_identifier:
  issn:
  - 1570-1824
publication_status: published
publisher: International Association for Statistical Education
status: public
title: Teaching and Learning Data-Driven Machine Learning with Educationally Designed
  Jupyter Notebooks
type: journal_article
user_id: '37888'
volume: 21
year: '2022'
...
---
_id: '50025'
author:
- first_name: Yuanhua
  full_name: Feng, Yuanhua
  id: '20760'
  last_name: Feng
- first_name: Thomas
  full_name: Gries, Thomas
  id: '186'
  last_name: Gries
- first_name: Sebastian
  full_name: Letmathe, Sebastian
  last_name: Letmathe
- first_name: Dominik
  full_name: Schulz, Dominik
  last_name: Schulz
citation:
  ama: Feng Y, Gries T, Letmathe S, Schulz D. The smoots Package in R for Semiparametric
    Modeling of Trend Stationary Time Series. <i>The R Journal</i>. 2022;14(1):182-195.
    doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>
  apa: Feng, Y., Gries, T., Letmathe, S., &#38; Schulz, D. (2022). The smoots Package
    in R for Semiparametric Modeling of Trend Stationary Time Series. <i>The R Journal</i>,
    <i>14</i>(1), 182–195. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>
  bibtex: '@article{Feng_Gries_Letmathe_Schulz_2022, title={The smoots Package in
    R for Semiparametric Modeling of Trend Stationary Time Series}, volume={14}, DOI={<a
    href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>}, number={1},
    journal={The R Journal}, publisher={The R Foundation}, author={Feng, Yuanhua and
    Gries, Thomas and Letmathe, Sebastian and Schulz, Dominik}, year={2022}, pages={182–195}
    }'
  chicago: 'Feng, Yuanhua, Thomas Gries, Sebastian Letmathe, and Dominik Schulz. “The
    Smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series.”
    <i>The R Journal</i> 14, no. 1 (2022): 182–95. <a href="https://doi.org/10.32614/rj-2022-017">https://doi.org/10.32614/rj-2022-017</a>.'
  ieee: 'Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for
    Semiparametric Modeling of Trend Stationary Time Series,” <i>The R Journal</i>,
    vol. 14, no. 1, pp. 182–195, 2022, doi: <a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.'
  mla: Feng, Yuanhua, et al. “The Smoots Package in R for Semiparametric Modeling
    of Trend Stationary Time Series.” <i>The R Journal</i>, vol. 14, no. 1, The R
    Foundation, 2022, pp. 182–95, doi:<a href="https://doi.org/10.32614/rj-2022-017">10.32614/rj-2022-017</a>.
  short: Y. Feng, T. Gries, S. Letmathe, D. Schulz, The R Journal 14 (2022) 182–195.
date_created: 2023-12-21T12:09:53Z
date_updated: 2025-11-10T09:32:36Z
doi: 10.32614/rj-2022-017
intvolume: '        14'
issue: '1'
keyword:
- Statistics
- Probability and Uncertainty
- Numerical Analysis
- Statistics and Probability
language:
- iso: eng
page: 182-195
publication: The R Journal
publication_identifier:
  issn:
  - 2073-4859
publication_status: published
publisher: The R Foundation
status: public
title: The smoots Package in R for Semiparametric Modeling of Trend Stationary Time
  Series
type: journal_article
user_id: '186'
volume: 14
year: '2022'
...
---
_id: '32243'
abstract:
- lang: eng
  text: "<jats:title>Abstract</jats:title>\r\n               <jats:p>The defining
    feature of active particles is that they constantly propel themselves by locally
    converting chemical energy into directed motion. This active self-propulsion prevents
    them from equilibrating with their thermal environment (e.g. an aqueous solution),
    thus keeping them permanently out of equilibrium. Nevertheless, the spatial dynamics
    of active particles might share certain equilibrium features, in particular in
    the steady state. We here focus on the time-reversal symmetry of individual spatial
    trajectories as a distinct equilibrium characteristic. We investigate to what
    extent the steady-state trajectories of a trapped active particle obey or break
    this time-reversal symmetry. Within the framework of active Ornstein–Uhlenbeck
    particles we find that the steady-state trajectories in a harmonic potential fulfill
    path-wise time-reversal symmetry exactly, while this symmetry is typically broken
    in anharmonic potentials.</jats:p>"
article_number: '033216'
author:
- first_name: Lennart
  full_name: Dabelow, Lennart
  last_name: Dabelow
- first_name: Stefano
  full_name: Bo, Stefano
  last_name: Bo
- first_name: Ralf
  full_name: Eichhorn, Ralf
  last_name: Eichhorn
citation:
  ama: 'Dabelow L, Bo S, Eichhorn R. How irreversible are steady-state trajectories
    of a trapped active particle? <i>Journal of Statistical Mechanics: Theory and
    Experiment</i>. 2021;2021(3). doi:<a href="https://doi.org/10.1088/1742-5468/abe6fd">10.1088/1742-5468/abe6fd</a>'
  apa: 'Dabelow, L., Bo, S., &#38; Eichhorn, R. (2021). How irreversible are steady-state
    trajectories of a trapped active particle? <i>Journal of Statistical Mechanics:
    Theory and Experiment</i>, <i>2021</i>(3), Article 033216. <a href="https://doi.org/10.1088/1742-5468/abe6fd">https://doi.org/10.1088/1742-5468/abe6fd</a>'
  bibtex: '@article{Dabelow_Bo_Eichhorn_2021, title={How irreversible are steady-state
    trajectories of a trapped active particle?}, volume={2021}, DOI={<a href="https://doi.org/10.1088/1742-5468/abe6fd">10.1088/1742-5468/abe6fd</a>},
    number={3033216}, journal={Journal of Statistical Mechanics: Theory and Experiment},
    publisher={IOP Publishing}, author={Dabelow, Lennart and Bo, Stefano and Eichhorn,
    Ralf}, year={2021} }'
  chicago: 'Dabelow, Lennart, Stefano Bo, and Ralf Eichhorn. “How Irreversible Are
    Steady-State Trajectories of a Trapped Active Particle?” <i>Journal of Statistical
    Mechanics: Theory and Experiment</i> 2021, no. 3 (2021). <a href="https://doi.org/10.1088/1742-5468/abe6fd">https://doi.org/10.1088/1742-5468/abe6fd</a>.'
  ieee: 'L. Dabelow, S. Bo, and R. Eichhorn, “How irreversible are steady-state trajectories
    of a trapped active particle?,” <i>Journal of Statistical Mechanics: Theory and
    Experiment</i>, vol. 2021, no. 3, Art. no. 033216, 2021, doi: <a href="https://doi.org/10.1088/1742-5468/abe6fd">10.1088/1742-5468/abe6fd</a>.'
  mla: 'Dabelow, Lennart, et al. “How Irreversible Are Steady-State Trajectories of
    a Trapped Active Particle?” <i>Journal of Statistical Mechanics: Theory and Experiment</i>,
    vol. 2021, no. 3, 033216, IOP Publishing, 2021, doi:<a href="https://doi.org/10.1088/1742-5468/abe6fd">10.1088/1742-5468/abe6fd</a>.'
  short: 'L. Dabelow, S. Bo, R. Eichhorn, Journal of Statistical Mechanics: Theory
    and Experiment 2021 (2021).'
date_created: 2022-06-28T07:27:41Z
date_updated: 2022-06-28T07:28:14Z
department:
- _id: '27'
doi: 10.1088/1742-5468/abe6fd
intvolume: '      2021'
issue: '3'
keyword:
- Statistics
- Probability and Uncertainty
- Statistics and Probability
- Statistical and Nonlinear Physics
language:
- iso: eng
project:
- _id: '52'
  name: 'PC2: Computing Resources Provided by the Paderborn Center for Parallel Computing'
publication: 'Journal of Statistical Mechanics: Theory and Experiment'
publication_identifier:
  issn:
  - 1742-5468
publication_status: published
publisher: IOP Publishing
status: public
title: How irreversible are steady-state trajectories of a trapped active particle?
type: journal_article
user_id: '15278'
volume: 2021
year: '2021'
...
---
_id: '33649'
article_number: '2000269'
author:
- first_name: Jan
  full_name: Kessler, Jan
  id: '65425'
  last_name: Kessler
  orcid: 0000-0002-8705-6992
- first_name: Francesco
  full_name: Calcavecchia, Francesco
  last_name: Calcavecchia
- first_name: Thomas
  full_name: Kühne, Thomas
  id: '49079'
  last_name: Kühne
citation:
  ama: Kessler J, Calcavecchia F, Kühne T. Artificial Neural Networks as Trial Wave
    Functions for Quantum Monte Carlo. <i>Advanced Theory and Simulations</i>. 2021;4(4).
    doi:<a href="https://doi.org/10.1002/adts.202000269">10.1002/adts.202000269</a>
  apa: Kessler, J., Calcavecchia, F., &#38; Kühne, T. (2021). Artificial Neural Networks
    as Trial Wave Functions for Quantum Monte Carlo. <i>Advanced Theory and Simulations</i>,
    <i>4</i>(4), Article 2000269. <a href="https://doi.org/10.1002/adts.202000269">https://doi.org/10.1002/adts.202000269</a>
  bibtex: '@article{Kessler_Calcavecchia_Kühne_2021, title={Artificial Neural Networks
    as Trial Wave Functions for Quantum Monte Carlo}, volume={4}, DOI={<a href="https://doi.org/10.1002/adts.202000269">10.1002/adts.202000269</a>},
    number={42000269}, journal={Advanced Theory and Simulations}, publisher={Wiley},
    author={Kessler, Jan and Calcavecchia, Francesco and Kühne, Thomas}, year={2021}
    }'
  chicago: Kessler, Jan, Francesco Calcavecchia, and Thomas Kühne. “Artificial Neural
    Networks as Trial Wave Functions for Quantum Monte Carlo.” <i>Advanced Theory
    and Simulations</i> 4, no. 4 (2021). <a href="https://doi.org/10.1002/adts.202000269">https://doi.org/10.1002/adts.202000269</a>.
  ieee: 'J. Kessler, F. Calcavecchia, and T. Kühne, “Artificial Neural Networks as
    Trial Wave Functions for Quantum Monte Carlo,” <i>Advanced Theory and Simulations</i>,
    vol. 4, no. 4, Art. no. 2000269, 2021, doi: <a href="https://doi.org/10.1002/adts.202000269">10.1002/adts.202000269</a>.'
  mla: Kessler, Jan, et al. “Artificial Neural Networks as Trial Wave Functions for
    Quantum Monte Carlo.” <i>Advanced Theory and Simulations</i>, vol. 4, no. 4, 2000269,
    Wiley, 2021, doi:<a href="https://doi.org/10.1002/adts.202000269">10.1002/adts.202000269</a>.
  short: J. Kessler, F. Calcavecchia, T. Kühne, Advanced Theory and Simulations 4
    (2021).
date_created: 2022-10-10T08:15:23Z
date_updated: 2022-10-10T08:15:37Z
department:
- _id: '613'
doi: 10.1002/adts.202000269
intvolume: '         4'
issue: '4'
keyword:
- Multidisciplinary
- Modeling and Simulation
- Numerical Analysis
- Statistics and Probability
language:
- iso: eng
publication: Advanced Theory and Simulations
publication_identifier:
  issn:
  - 2513-0390
  - 2513-0390
publication_status: published
publisher: Wiley
status: public
title: Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo
type: journal_article
user_id: '71051'
volume: 4
year: '2021'
...
---
_id: '48109'
abstract:
- lang: eng
  text: <jats:title>Abstract</jats:title><jats:p>In this paper, we will describe an
    introduction to Data Science for secondary school students. We will report on
    the design and implementation of an introductory unit on “Data and data detectives
    with CODAP” in which secondary school students used the online tool CODAP to explore
    real and meaningful survey data on leisure time activities and media use (so‐called
    JIM‐PB data) in a statistical project setting as a starting point for data science.
    The JIM‐PB data set served as a valuable data set that offered meaningful and
    exciting opportunities for data exploration for secondary school students, and
    CODAP proved to be a valuable tool for the first explorations of this data.</jats:p>
author:
- first_name: Daniel
  full_name: Frischemeier, Daniel
  last_name: Frischemeier
- first_name: Rolf
  full_name: Biehler, Rolf
  last_name: Biehler
- first_name: Susanne
  full_name: Podworny, Susanne
  last_name: Podworny
- first_name: Lea
  full_name: Budde, Lea
  last_name: Budde
citation:
  ama: 'Frischemeier D, Biehler R, Podworny S, Budde L. A first introduction to data
    science education in secondary schools: Teaching and learning about data exploration
    with &#60;scp&#62;CODAP&#60;/scp&#62; using survey data. <i>Teaching Statistics</i>.
    2021;43(S1). doi:<a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>'
  apa: 'Frischemeier, D., Biehler, R., Podworny, S., &#38; Budde, L. (2021). A first
    introduction to data science education in secondary schools: Teaching and learning
    about data exploration with &#60;scp&#62;CODAP&#60;/scp&#62; using survey data.
    <i>Teaching Statistics</i>, <i>43</i>(S1). <a href="https://doi.org/10.1111/test.12283">https://doi.org/10.1111/test.12283</a>'
  bibtex: '@article{Frischemeier_Biehler_Podworny_Budde_2021, title={A first introduction
    to data science education in secondary schools: Teaching and learning about data
    exploration with &#60;scp&#62;CODAP&#60;/scp&#62; using survey data}, volume={43},
    DOI={<a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>}, number={S1},
    journal={Teaching Statistics}, publisher={Wiley}, author={Frischemeier, Daniel
    and Biehler, Rolf and Podworny, Susanne and Budde, Lea}, year={2021} }'
  chicago: 'Frischemeier, Daniel, Rolf Biehler, Susanne Podworny, and Lea Budde. “A
    First Introduction to Data Science Education in Secondary Schools: Teaching and
    Learning about Data Exploration with &#60;scp&#62;CODAP&#60;/Scp&#62; Using Survey
    Data.” <i>Teaching Statistics</i> 43, no. S1 (2021). <a href="https://doi.org/10.1111/test.12283">https://doi.org/10.1111/test.12283</a>.'
  ieee: 'D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction
    to data science education in secondary schools: Teaching and learning about data
    exploration with &#60;scp&#62;CODAP&#60;/scp&#62; using survey data,” <i>Teaching
    Statistics</i>, vol. 43, no. S1, 2021, doi: <a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>.'
  mla: 'Frischemeier, Daniel, et al. “A First Introduction to Data Science Education
    in Secondary Schools: Teaching and Learning about Data Exploration with &#60;scp&#62;CODAP&#60;/Scp&#62;
    Using Survey Data.” <i>Teaching Statistics</i>, vol. 43, no. S1, Wiley, 2021,
    doi:<a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>.'
  short: D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43
    (2021).
date_created: 2023-10-17T06:06:02Z
date_updated: 2023-10-17T06:13:03Z
doi: 10.1111/test.12283
intvolume: '        43'
issue: S1
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
publication: Teaching Statistics
publication_identifier:
  issn:
  - 0141-982X
  - 1467-9639
publication_status: published
publisher: Wiley
status: public
title: 'A first introduction to data science education in secondary schools: Teaching
  and learning about data exploration with <scp>CODAP</scp> using survey data'
type: journal_article
user_id: '30619'
volume: 43
year: '2021'
...
---
_id: '35751'
author:
- first_name: Daniel
  full_name: Frischemeier, Daniel
  last_name: Frischemeier
- first_name: Rolf
  full_name: Biehler, Rolf
  id: '16274'
  last_name: Biehler
- first_name: Susanne
  full_name: Podworny, Susanne
  id: '30619'
  last_name: Podworny
  orcid: 0000-0002-6313-5987
- first_name: Lea
  full_name: Budde, Lea
  id: '32443'
  last_name: Budde
citation:
  ama: 'Frischemeier D, Biehler R, Podworny S, Budde L. A first introduction to data
    science education in secondary schools: Teaching and learning about data exploration
    with&#60;scp&#62;CODAP&#60;/scp&#62;using survey data. <i>Teaching Statistics</i>.
    2021;43(S1):S182-S189. doi:<a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>'
  apa: 'Frischemeier, D., Biehler, R., Podworny, S., &#38; Budde, L. (2021). A first
    introduction to data science education in secondary schools: Teaching and learning
    about data exploration with&#60;scp&#62;CODAP&#60;/scp&#62;using survey data.
    <i>Teaching Statistics</i>, <i>43</i>(S1), S182–S189. <a href="https://doi.org/10.1111/test.12283">https://doi.org/10.1111/test.12283</a>'
  bibtex: '@article{Frischemeier_Biehler_Podworny_Budde_2021, title={A first introduction
    to data science education in secondary schools: Teaching and learning about data
    exploration with&#60;scp&#62;CODAP&#60;/scp&#62;using survey data}, volume={43},
    DOI={<a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>}, number={S1},
    journal={Teaching Statistics}, publisher={Wiley}, author={Frischemeier, Daniel
    and Biehler, Rolf and Podworny, Susanne and Budde, Lea}, year={2021}, pages={S182–S189}
    }'
  chicago: 'Frischemeier, Daniel, Rolf Biehler, Susanne Podworny, and Lea Budde. “A
    First Introduction to Data Science Education in Secondary Schools: Teaching and
    Learning about Data Exploration With&#60;scp&#62;CODAP&#60;/Scp&#62;using Survey
    Data.” <i>Teaching Statistics</i> 43, no. S1 (2021): S182–89. <a href="https://doi.org/10.1111/test.12283">https://doi.org/10.1111/test.12283</a>.'
  ieee: 'D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction
    to data science education in secondary schools: Teaching and learning about data
    exploration with&#60;scp&#62;CODAP&#60;/scp&#62;using survey data,” <i>Teaching
    Statistics</i>, vol. 43, no. S1, pp. S182–S189, 2021, doi: <a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>.'
  mla: 'Frischemeier, Daniel, et al. “A First Introduction to Data Science Education
    in Secondary Schools: Teaching and Learning about Data Exploration With&#60;scp&#62;CODAP&#60;/Scp&#62;using
    Survey Data.” <i>Teaching Statistics</i>, vol. 43, no. S1, Wiley, 2021, pp. S182–89,
    doi:<a href="https://doi.org/10.1111/test.12283">10.1111/test.12283</a>.'
  short: D. Frischemeier, R. Biehler, S. Podworny, L. Budde, Teaching Statistics 43
    (2021) S182–S189.
date_created: 2023-01-10T10:16:44Z
date_updated: 2024-04-18T10:12:44Z
department:
- _id: '363'
doi: 10.1111/test.12283
intvolume: '        43'
issue: S1
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
page: S182-S189
publication: Teaching Statistics
publication_identifier:
  issn:
  - 0141-982X
  - 1467-9639
publication_status: published
publisher: Wiley
status: public
title: 'A first introduction to data science education in secondary schools: Teaching
  and learning about data exploration with<scp>CODAP</scp>using survey data'
type: journal_article
user_id: '37888'
volume: 43
year: '2021'
...
---
_id: '35737'
author:
- first_name: Rolf
  full_name: Biehler, Rolf
  id: '16274'
  last_name: Biehler
- first_name: Franz Yannik
  full_name: Fleischer, Franz Yannik
  id: '42660'
  last_name: Fleischer
  orcid: https://orcid.org/0000-0003-0318-0329
citation:
  ama: Biehler R, Fleischer FY. Introducing students to machine learning with decision
    trees using CODAP and Jupyter Notebooks. <i>Teaching Statistics</i>. 2021;43:S133-S142.
    doi:<a href="https://doi.org/10.1111/test.12279">10.1111/test.12279</a>
  apa: Biehler, R., &#38; Fleischer, F. Y. (2021). Introducing students to machine
    learning with decision trees using CODAP and Jupyter Notebooks. <i>Teaching Statistics</i>,
    <i>43</i>, S133–S142. <a href="https://doi.org/10.1111/test.12279">https://doi.org/10.1111/test.12279</a>
  bibtex: '@article{Biehler_Fleischer_2021, title={Introducing students to machine
    learning with decision trees using CODAP and Jupyter Notebooks}, volume={43},
    DOI={<a href="https://doi.org/10.1111/test.12279">10.1111/test.12279</a>}, journal={Teaching
    Statistics}, publisher={Wiley}, author={Biehler, Rolf and Fleischer, Franz Yannik},
    year={2021}, pages={S133–S142} }'
  chicago: 'Biehler, Rolf, and Franz Yannik Fleischer. “Introducing Students to Machine
    Learning with Decision Trees Using CODAP and Jupyter Notebooks.” <i>Teaching Statistics</i>
    43 (2021): S133–42. <a href="https://doi.org/10.1111/test.12279">https://doi.org/10.1111/test.12279</a>.'
  ieee: 'R. Biehler and F. Y. Fleischer, “Introducing students to machine learning
    with decision trees using CODAP and Jupyter Notebooks,” <i>Teaching Statistics</i>,
    vol. 43, pp. S133–S142, 2021, doi: <a href="https://doi.org/10.1111/test.12279">10.1111/test.12279</a>.'
  mla: Biehler, Rolf, and Franz Yannik Fleischer. “Introducing Students to Machine
    Learning with Decision Trees Using CODAP and Jupyter Notebooks.” <i>Teaching Statistics</i>,
    vol. 43, Wiley, 2021, pp. S133–42, doi:<a href="https://doi.org/10.1111/test.12279">10.1111/test.12279</a>.
  short: R. Biehler, F.Y. Fleischer, Teaching Statistics 43 (2021) S133–S142.
date_created: 2023-01-10T10:08:32Z
date_updated: 2024-08-21T10:05:05Z
department:
- _id: '363'
doi: 10.1111/test.12279
intvolume: '        43'
keyword:
- Education
- Statistics and Probability
language:
- iso: eng
page: S133-S142
publication: Teaching Statistics
publication_identifier:
  issn:
  - 0141-982X
  - 1467-9639
publication_status: published
publisher: Wiley
status: public
title: Introducing students to machine learning with decision trees using CODAP and
  Jupyter Notebooks
type: journal_article
user_id: '37888'
volume: 43
year: '2021'
...
---
_id: '45561'
abstract:
- lang: eng
  text: <jats:p>The purpose of this study is to experimentally test Trockel’s game,
    which is a modelling of the classical Chain Store Game (CSG), and determine whether
    one of the two theories of Equality and Deterrence may better account for the
    observed behavior. The CSG is an example of a simple game in extensive form where
    the actual behavior of well-informed players cannot be expected to agree with
    the clear results of game theoretical reasoning. To explain the disagreement between
    the theory and the expected behavior, Trockel’s game is proposed as an alternative
    modelling of the scenario. The existence of more than one equilibrium in Trockel’s
    game opens a door for reputation building. This study is the first attempt to
    experimentally test this alternative game with the same purpose. According to
    my data, there is some evidence in favor of both Equality and Deterrence Hypotheses.
    However, since the strategies compatible with the Equality Hypothesis are played
    more frequently, I observe some patterns which share the same intuition with the
    Deterrence Hypothesis.</jats:p>
article_number: '9'
author:
- first_name: Papatya
  full_name: Duman, Papatya
  id: '72752'
  last_name: Duman
citation:
  ama: Duman P. Does Informational Equivalence Preserve Strategic Behavior? Experimental
    Results on Trockel’s Model of Selten’s Chain Store Story. <i>Games</i>. 2020;11(1).
    doi:<a href="https://doi.org/10.3390/g11010009">10.3390/g11010009</a>
  apa: Duman, P. (2020). Does Informational Equivalence Preserve Strategic Behavior?
    Experimental Results on Trockel’s Model of Selten’s Chain Store Story. <i>Games</i>,
    <i>11</i>(1), Article 9. <a href="https://doi.org/10.3390/g11010009">https://doi.org/10.3390/g11010009</a>
  bibtex: '@article{Duman_2020, title={Does Informational Equivalence Preserve Strategic
    Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story},
    volume={11}, DOI={<a href="https://doi.org/10.3390/g11010009">10.3390/g11010009</a>},
    number={19}, journal={Games}, publisher={MDPI AG}, author={Duman, Papatya}, year={2020}
    }'
  chicago: Duman, Papatya. “Does Informational Equivalence Preserve Strategic Behavior?
    Experimental Results on Trockel’s Model of Selten’s Chain Store Story.” <i>Games</i>
    11, no. 1 (2020). <a href="https://doi.org/10.3390/g11010009">https://doi.org/10.3390/g11010009</a>.
  ieee: 'P. Duman, “Does Informational Equivalence Preserve Strategic Behavior? Experimental
    Results on Trockel’s Model of Selten’s Chain Store Story,” <i>Games</i>, vol.
    11, no. 1, Art. no. 9, 2020, doi: <a href="https://doi.org/10.3390/g11010009">10.3390/g11010009</a>.'
  mla: Duman, Papatya. “Does Informational Equivalence Preserve Strategic Behavior?
    Experimental Results on Trockel’s Model of Selten’s Chain Store Story.” <i>Games</i>,
    vol. 11, no. 1, 9, MDPI AG, 2020, doi:<a href="https://doi.org/10.3390/g11010009">10.3390/g11010009</a>.
  short: P. Duman, Games 11 (2020).
date_created: 2023-06-09T15:31:17Z
date_updated: 2023-06-09T15:33:34Z
doi: 10.3390/g11010009
intvolume: '        11'
issue: '1'
keyword:
- Applied Mathematics
- Statistics
- Probability and Uncertainty
- Statistics and Probability
language:
- iso: eng
publication: Games
publication_identifier:
  issn:
  - 2073-4336
publication_status: published
publisher: MDPI AG
status: public
title: Does Informational Equivalence Preserve Strategic Behavior? Experimental Results
  on Trockel’s Model of Selten’s Chain Store Story
type: journal_article
user_id: '72752'
volume: 11
year: '2020'
...
---
_id: '40334'
author:
- first_name: Heinz-Siegfried
  full_name: Kitzerow, Heinz-Siegfried
  id: '254'
  last_name: Kitzerow
- first_name: B.
  full_name: Jérôme, B.
  last_name: Jérôme
- first_name: P.
  full_name: Pieranski, P.
  last_name: Pieranski
citation:
  ama: 'Kitzerow H-S, Jérôme B, Pieranski P. Strain-induced anchoring transitions.
    <i>Physica A: Statistical Mechanics and its Applications</i>. 1991;174(1):163-194.
    doi:<a href="https://doi.org/10.1016/0378-4371(91)90423-a">10.1016/0378-4371(91)90423-a</a>'
  apa: 'Kitzerow, H.-S., Jérôme, B., &#38; Pieranski, P. (1991). Strain-induced anchoring
    transitions. <i>Physica A: Statistical Mechanics and Its Applications</i>, <i>174</i>(1),
    163–194. <a href="https://doi.org/10.1016/0378-4371(91)90423-a">https://doi.org/10.1016/0378-4371(91)90423-a</a>'
  bibtex: '@article{Kitzerow_Jérôme_Pieranski_1991, title={Strain-induced anchoring
    transitions}, volume={174}, DOI={<a href="https://doi.org/10.1016/0378-4371(91)90423-a">10.1016/0378-4371(91)90423-a</a>},
    number={1}, journal={Physica A: Statistical Mechanics and its Applications}, publisher={Elsevier
    BV}, author={Kitzerow, Heinz-Siegfried and Jérôme, B. and Pieranski, P.}, year={1991},
    pages={163–194} }'
  chicago: 'Kitzerow, Heinz-Siegfried, B. Jérôme, and P. Pieranski. “Strain-Induced
    Anchoring Transitions.” <i>Physica A: Statistical Mechanics and Its Applications</i>
    174, no. 1 (1991): 163–94. <a href="https://doi.org/10.1016/0378-4371(91)90423-a">https://doi.org/10.1016/0378-4371(91)90423-a</a>.'
  ieee: 'H.-S. Kitzerow, B. Jérôme, and P. Pieranski, “Strain-induced anchoring transitions,”
    <i>Physica A: Statistical Mechanics and its Applications</i>, vol. 174, no. 1,
    pp. 163–194, 1991, doi: <a href="https://doi.org/10.1016/0378-4371(91)90423-a">10.1016/0378-4371(91)90423-a</a>.'
  mla: 'Kitzerow, Heinz-Siegfried, et al. “Strain-Induced Anchoring Transitions.”
    <i>Physica A: Statistical Mechanics and Its Applications</i>, vol. 174, no. 1,
    Elsevier BV, 1991, pp. 163–94, doi:<a href="https://doi.org/10.1016/0378-4371(91)90423-a">10.1016/0378-4371(91)90423-a</a>.'
  short: 'H.-S. Kitzerow, B. Jérôme, P. Pieranski, Physica A: Statistical Mechanics
    and Its Applications 174 (1991) 163–194.'
date_created: 2023-01-26T11:31:45Z
date_updated: 2023-01-26T11:48:37Z
department:
- _id: '313'
doi: 10.1016/0378-4371(91)90423-a
extern: '1'
intvolume: '       174'
issue: '1'
keyword:
- Condensed Matter Physics
- Statistics and Probability
language:
- iso: eng
page: 163-194
publication: 'Physica A: Statistical Mechanics and its Applications'
publication_identifier:
  issn:
  - 0378-4371
publication_status: published
publisher: Elsevier BV
status: public
title: Strain-induced anchoring transitions
type: journal_article
user_id: '254'
volume: 174
year: '1991'
...
---
_id: '40218'
author:
- first_name: R.
  full_name: Lasser, R.
  last_name: Lasser
- first_name: Margit
  full_name: Rösler, Margit
  id: '37390'
  last_name: Rösler
citation:
  ama: Lasser R, Rösler M. Linear mean estimation of weakly stationary stochastic
    processes under the aspects of optimality and asymptotic optimality. <i>Stochastic
    Processes and their Applications</i>. 1991;38(2):279-293. doi:<a href="https://doi.org/10.1016/0304-4149(91)90095-t">10.1016/0304-4149(91)90095-t</a>
  apa: Lasser, R., &#38; Rösler, M. (1991). Linear mean estimation of weakly stationary
    stochastic processes under the aspects of optimality and asymptotic optimality.
    <i>Stochastic Processes and Their Applications</i>, <i>38</i>(2), 279–293. <a
    href="https://doi.org/10.1016/0304-4149(91)90095-t">https://doi.org/10.1016/0304-4149(91)90095-t</a>
  bibtex: '@article{Lasser_Rösler_1991, title={Linear mean estimation of weakly stationary
    stochastic processes under the aspects of optimality and asymptotic optimality},
    volume={38}, DOI={<a href="https://doi.org/10.1016/0304-4149(91)90095-t">10.1016/0304-4149(91)90095-t</a>},
    number={2}, journal={Stochastic Processes and their Applications}, publisher={Elsevier
    BV}, author={Lasser, R. and Rösler, Margit}, year={1991}, pages={279–293} }'
  chicago: 'Lasser, R., and Margit Rösler. “Linear Mean Estimation of Weakly Stationary
    Stochastic Processes under the Aspects of Optimality and Asymptotic Optimality.”
    <i>Stochastic Processes and Their Applications</i> 38, no. 2 (1991): 279–93. <a
    href="https://doi.org/10.1016/0304-4149(91)90095-t">https://doi.org/10.1016/0304-4149(91)90095-t</a>.'
  ieee: 'R. Lasser and M. Rösler, “Linear mean estimation of weakly stationary stochastic
    processes under the aspects of optimality and asymptotic optimality,” <i>Stochastic
    Processes and their Applications</i>, vol. 38, no. 2, pp. 279–293, 1991, doi:
    <a href="https://doi.org/10.1016/0304-4149(91)90095-t">10.1016/0304-4149(91)90095-t</a>.'
  mla: Lasser, R., and Margit Rösler. “Linear Mean Estimation of Weakly Stationary
    Stochastic Processes under the Aspects of Optimality and Asymptotic Optimality.”
    <i>Stochastic Processes and Their Applications</i>, vol. 38, no. 2, Elsevier BV,
    1991, pp. 279–93, doi:<a href="https://doi.org/10.1016/0304-4149(91)90095-t">10.1016/0304-4149(91)90095-t</a>.
  short: R. Lasser, M. Rösler, Stochastic Processes and Their Applications 38 (1991)
    279–293.
date_created: 2023-01-26T09:09:22Z
date_updated: 2023-01-26T17:29:03Z
department:
- _id: '555'
doi: 10.1016/0304-4149(91)90095-t
extern: '1'
intvolume: '        38'
issue: '2'
keyword:
- Applied Mathematics
- Modeling and Simulation
- Statistics and Probability
language:
- iso: eng
page: 279-293
publication: Stochastic Processes and their Applications
publication_identifier:
  issn:
  - 0304-4149
publication_status: published
publisher: Elsevier BV
status: public
title: Linear mean estimation of weakly stationary stochastic processes under the
  aspects of optimality and asymptotic optimality
type: journal_article
user_id: '93826'
volume: 38
year: '1991'
...