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X-ORIGINAL-URL:https://www.crossda.hr
X-WR-CALDESC:Događaji za CROSSDA
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20221213T181500
DTEND;TZID=Europe/Zagreb:20221213T181500
DTSTAMP:20250408T123708Z
CREATED:20250313T105023Z
LAST-MODIFIED:20250408T123708Z
UID:2137-1670955300-1670955300@www.crossda.hr
SUMMARY:Reproducibility and confidential or proprietary data: can it be done?
DESCRIPTION:CRRESS invites you to join our December webinar “Reproducibility and confidential or proprietary data: can it be done?“. Paulo Guimarães (Banco de Portugal\, BPLIM)\, John Horton (MIT)\, Lars Vilhuber (Cornell University) compose the panel. Aleksandr Michuda (Cornell University) will moderate the session. \nThe fourth panel of CRRESS\, The Conference on Reproducibility and Replicability in Economics and the Social Sciences\, will be held on December 13\, 2022. Exceptionally\, we begin at 12:15 PM Eastern Time\, earlier than other series sessions. \nRegister to join the session on Zoom. \nWhat happens to reproducibility when data are confidential or proprietary? Many journals can only ask that detailed access procedures be provided in a ReadMe file\, but what mechanisms could be used to conduct computational reproducibility checks on such data? Should authors temporarily share their data with the journal for the purposes of reproducibility verification\, even if they are not part of the public data replication package? Is it feasible to use a network of “insiders” to run code provided as part of a data replication package to assess reproducibility? Could a “certified run” be used? \nThe Conference on Reproducibility and Replicability in Economics and the Social Sciences (CRRESS) is a monthly series of virtual and in-person panels on the topics of reproducibility\, replicability\, and transparency in the social sciences. Each month\, a panel of experts will discuss a particular topic with relevance to the overall theme of reproducibility and transparency. We invite anyone with an interest in social science research to attend.  \nCRRESS is led by Lars Vilhuber and Aleksandr Michuda\, Cornell University\, who organize the panels together with Ian Schmutte (UGA) and Marie Connolly (UQAM). Funding by the National Science Foundation is gratefully acknowledged. Participation is free\, but registration is required. Learn more at https://labordynamicsinstitute.github.io/crress/.
URL:https://www.crossda.hr/event/reproducibility-and-confidential-or-proprietary-data-can-it-be-done/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230117T100000
DTEND;TZID=Europe/Zagreb:20230117T100000
DTSTAMP:20250313T105016Z
CREATED:20250313T105016Z
LAST-MODIFIED:20250313T105016Z
UID:2134-1673949600-1673949600@www.crossda.hr
SUMMARY:Teaching with census data
DESCRIPTION:Census 2021 will provide demographic\, employment\, housing and other characteristics about local populations at neighbourhood level. This free workshop is designed to enable those teaching undergraduate students to use this local material to explore substantive questions related to their discipline. The aims of the workshop are to enable participants to be able to: \nAppreciate the geography of local areas and the data that is provided from the census.Be able to access\, prepare and present census data.Develop appropriate exercises for students to engage in practical exploration\, analysis and reporting on substantive topics of interest. \nThe workshop will use Microsoft Excel software and provide supporting materials to enable students to develop basic skills in data analysis and reporting the results in charts and tables. \nThe workshop will also outline more advanced techniques to combine other neighbourhood-based information and prepare materials to combine with GIS software to produce maps. \nPresenter: Nigel de Noronha\, UK Data Service (University of Manchester)
URL:https://www.crossda.hr/event/teaching-with-census-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230117T110000
DTEND;TZID=Europe/Zagreb:20230117T110000
DTSTAMP:20250313T103158Z
CREATED:20250313T103158Z
LAST-MODIFIED:20250313T103158Z
UID:2324-1673953200-1673953200@www.crossda.hr
SUMMARY:Teaching with census data
DESCRIPTION:Census 2021 will provide demographic\, employment\, housing and other characteristics about local populations at neighbourhood level. This free workshop is designed to enable those teaching undergraduate students to use this local material to explore substantive questions related to their discipline. The aims of the workshop are to enable participants to be able to: \nAppreciate the geography of local areas and the data that is provided from the census.Be able to access\, prepare and present census data.Develop appropriate exercises for students to engage in practical exploration\, analysis and reporting on substantive topics of interest. \nThe workshop will use Microsoft Excel software and provide supporting materials to enable students to develop basic skills in data analysis and reporting the results in charts and tables. \nThe workshop will also outline more advanced techniques to combine other neighbourhood-based information and prepare materials to combine with GIS software to produce maps. \nPresenter: Nigel de Noronha\, UK Data Service (University of Manchester)
URL:https://www.crossda.hr/event/teaching-with-census-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230117T110000
DTEND;TZID=Europe/Zagreb:20230117T180000
DTSTAMP:20250408T123653Z
CREATED:20250325T164747Z
LAST-MODIFIED:20250408T123653Z
UID:2657-1673953200-1673978400@www.crossda.hr
SUMMARY:Teaching with census data
DESCRIPTION:Census 2021 will provide demographic\, employment\, housing and other characteristics about local populations at neighbourhood level. This free workshop is designed to enable those teaching undergraduate students to use this local material to explore substantive questions related to their discipline. The aims of the workshop are to enable participants to be able to: \nAppreciate the geography of local areas and the data that is provided from the census.Be able to access\, prepare and present census data.Develop appropriate exercises for students to engage in practical exploration\, analysis and reporting on substantive topics of interest. \nThe workshop will use Microsoft Excel software and provide supporting materials to enable students to develop basic skills in data analysis and reporting the results in charts and tables. \nThe workshop will also outline more advanced techniques to combine other neighbourhood-based information and prepare materials to combine with GIS software to produce maps. \nPresenter: Nigel de Noronha\, UK Data Service (University of Manchester)
URL:https://www.crossda.hr/event/teaching-with-census-data/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230119T110000
DTEND;TZID=Europe/Zagreb:20230119T180000
DTSTAMP:20250408T123708Z
CREATED:20250313T105022Z
LAST-MODIFIED:20250408T123708Z
UID:2136-1674126000-1674151200@www.crossda.hr
SUMMARY:Safe Researcher Training
DESCRIPTION:This Safe Researcher Training (SRT) course is intended for researchers who will be\, or are in the process of\, applying for access to controlled data in the UK Data Service Secure Lab. It is also suitable for researchers who will be accessing controlled data in other secure environments\, such as the ONS Secure Research Service or HMRC Datalab\, where the requirements of access mandate attendance on a Safe Researcher Training course. It is not suitable for inexperienced researchers whose project applications are unlikely to be approved\, such as undergraduates applying for dissertation projects. \nResearchers who are applying for Accredited Researcher (AR) status to access data through legal gateways\, such as the Digital Economy Act (DEA)\, must attend and pass this course before they can be awarded AR status. \nThis course covers: \nData security and personal responsibility\, including legal and procedural breaches and penalties\, and the ‘5 Safes’ security model.Statistical Disclosure Control – how to make statistical outputs safe for release and the principles employed.Using the Secure Lab – how to use the environment efficiently and effectively (includes preparation of data imports and statistical outputs). \nResearchers who attend the course will be sent a link after the training to complete an online assessment. Access to Secure Lab will only be granted to researchers who successfully pass the assessment and complete the rest of the application process. \nTo request to attend this session\, please contact secure.training@ukdataservice.ac.uk. When submitting your request\, please specify in the email if you currently fall into one or more of the below categories: \nApplying for AR status through the ONS Research Accreditation Service.Applying\, or preparing an application\, to access controlled data in the UK Data Service Secure Lab.Applying to access controlled data in the ONS Secure Research Service.Applying to access controlled data in the HMRC Datalab.Applying to access controlled data through Administrative Data Research UK (ADR-UK). \nWe will be verifying the information you provide with the relevant service(s). If you do not fall into the above categories\, you can still request a place but this will be chargeable.
URL:https://www.crossda.hr/event/safe-researcher-training/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230208T090000
DTEND;TZID=Europe/Zagreb:20230208T110000
DTSTAMP:20250313T104953Z
CREATED:20250313T104953Z
LAST-MODIFIED:20250313T104953Z
UID:2119-1675846800-1675854000@www.crossda.hr
SUMMARY:Pohrana i objava istraživačkih podataka u arhivu CROSSDA – radionica u okviru projekta COORDINATE za zaposlenike Instituta Ivo Pilar
DESCRIPTION:U okviru projekta COORDINATE\, koji vodi Manchester Metropolitan University i u kojem sudjeluju Institut Ivo Pilar (voditelj Toni Babarović) i CROSSDA – Hrvatski arhiv podataka za društvene znanosti / Filozofski fakultet u Zagrebu (voditeljica Marijana Glavica)\, organiziramo radionicu o pohrani i objavi podataka u arhivu CROSSDA. Jedan od zadataka unutar projekta je identificirati te u arhiv CROSSDA pokušati pohraniti skupove istraživačkih podataka relevantnih za temu projekta COORDINATE – podataka koji se tiču dobrobiti djece i mladih. \nRadionica je namijenjena primarno voditeljima i suradnicima kvantitativnih istraživanja koji su tijekom svibnja i lipnja 2022. dostavili podatke za projekte prepoznate kao relevantne i adekvatne za potencijalno arhiviranje\, ali na radionicu su pozvani i svi drugi zaposlenici Instituta\, istraživači u području društvenih znanosti\, zainteresirani za usluge arhiva CROSSDA. \nCilj radionice je upoznati istraživače s procedurama pohrane i objave podataka u arhivu CROSSDA te ih motivirati na pohranu podataka.  \nObjasnit ćemo osnovne preduvjete za pohranu: prikupljanje dokumentacije\, čišćenje podataka te osiguravanje potrebne razine anonimizacije.  \nDemonstrirat ćemo sustav za objavu podataka data.crossda.hr i proći kroz metapodatke koje je potrebno unijeti.   \nObjasnit ćemo standardne licence koje se koriste pri objavi podataka: otvoreni pristup i pristup ograničen samo za znanstvene svrhe te u svrhu podučavanja.  \nDotaknut ćemo se pravnih (GDPR\, autorska prava) i etičkih pitanja. \nRazgovarat ćemo o nedoumicama i preprekama koje se mogu pojaviti prilikom pohrane i objave podataka.
URL:https://www.crossda.hr/event/pohrana-i-objava-istrazivackih-podataka-u-arhivu-crossda-radionica-u-okviru-projekta-coordinate-za-zaposlenike-instituta-ivo-pilar/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230208T100000
DTEND;TZID=Europe/Zagreb:20230208T120000
DTSTAMP:20250313T103137Z
CREATED:20250313T103137Z
LAST-MODIFIED:20250313T103137Z
UID:2309-1675850400-1675857600@www.crossda.hr
SUMMARY:Pohrana i objava istraživačkih podataka u arhivu CROSSDA – radionica u okviru projekta COORDINATE za zaposlenike Instituta Ivo Pilar
DESCRIPTION:U okviru projekta COORDINATE\, koji vodi Manchester Metropolitan University i u kojem sudjeluju Institut Ivo Pilar (voditelj Toni Babarović) i CROSSDA – Hrvatski arhiv podataka za društvene znanosti / Filozofski fakultet u Zagrebu (voditeljica Marijana Glavica)\, organiziramo radionicu o pohrani i objavi podataka u arhivu CROSSDA. Jedan od zadataka unutar projekta je identificirati te u arhiv CROSSDA pokušati pohraniti skupove istraživačkih podataka relevantnih za temu projekta COORDINATE – podataka koji se tiču dobrobiti djece i mladih. \nRadionica je namijenjena primarno voditeljima i suradnicima kvantitativnih istraživanja koji su tijekom svibnja i lipnja 2022. dostavili podatke za projekte prepoznate kao relevantne i adekvatne za potencijalno arhiviranje\, ali na radionicu su pozvani i svi drugi zaposlenici Instituta\, istraživači u području društvenih znanosti\, zainteresirani za usluge arhiva CROSSDA. \nCilj radionice je upoznati istraživače s procedurama pohrane i objave podataka u arhivu CROSSDA te ih motivirati na pohranu podataka.  \nObjasnit ćemo osnovne preduvjete za pohranu: prikupljanje dokumentacije\, čišćenje podataka te osiguravanje potrebne razine anonimizacije.  \nDemonstrirat ćemo sustav za objavu podataka data.crossda.hr i proći kroz metapodatke koje je potrebno unijeti.   \nObjasnit ćemo standardne licence koje se koriste pri objavi podataka: otvoreni pristup i pristup ograničen samo za znanstvene svrhe te u svrhu podučavanja.  \nDotaknut ćemo se pravnih (GDPR\, autorska prava) i etičkih pitanja. \nRazgovarat ćemo o nedoumicama i preprekama koje se mogu pojaviti prilikom pohrane i objave podataka.
URL:https://www.crossda.hr/event/pohrana-i-objava-istrazivackih-podataka-u-arhivu-crossda-radionica-u-okviru-projekta-coordinate-za-zaposlenike-instituta-ivo-pilar/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230208T100000
DTEND;TZID=Europe/Zagreb:20230208T120000
DTSTAMP:20250325T164722Z
CREATED:20250325T164722Z
LAST-MODIFIED:20250325T164722Z
UID:2642-1675850400-1675857600@www.crossda.hr
SUMMARY:Pohrana i objava istraživačkih podataka u arhivu CROSSDA – radionica u okviru projekta COORDINATE za zaposlenike Instituta Ivo Pilar
DESCRIPTION:U okviru projekta COORDINATE\, koji vodi Manchester Metropolitan University i u kojem sudjeluju Institut Ivo Pilar (voditelj Toni Babarović) i CROSSDA – Hrvatski arhiv podataka za društvene znanosti / Filozofski fakultet u Zagrebu (voditeljica Marijana Glavica)\, organiziramo radionicu o pohrani i objavi podataka u arhivu CROSSDA. Jedan od zadataka unutar projekta je identificirati te u arhiv CROSSDA pokušati pohraniti skupove istraživačkih podataka relevantnih za temu projekta COORDINATE – podataka koji se tiču dobrobiti djece i mladih. \nRadionica je namijenjena primarno voditeljima i suradnicima kvantitativnih istraživanja koji su tijekom svibnja i lipnja 2022. dostavili podatke za projekte prepoznate kao relevantne i adekvatne za potencijalno arhiviranje\, ali na radionicu su pozvani i svi drugi zaposlenici Instituta\, istraživači u području društvenih znanosti\, zainteresirani za usluge arhiva CROSSDA. \nCilj radionice je upoznati istraživače s procedurama pohrane i objave podataka u arhivu CROSSDA te ih motivirati na pohranu podataka.  \nObjasnit ćemo osnovne preduvjete za pohranu: prikupljanje dokumentacije\, čišćenje podataka te osiguravanje potrebne razine anonimizacije.  \nDemonstrirat ćemo sustav za objavu podataka data.crossda.hr i proći kroz metapodatke koje je potrebno unijeti.   \nObjasnit ćemo standardne licence koje se koriste pri objavi podataka: otvoreni pristup i pristup ograničen samo za znanstvene svrhe te u svrhu podučavanja.  \nDotaknut ćemo se pravnih (GDPR\, autorska prava) i etičkih pitanja. \nRazgovarat ćemo o nedoumicama i preprekama koje se mogu pojaviti prilikom pohrane i objave podataka.
URL:https://www.crossda.hr/event/pohrana-i-objava-istrazivackih-podataka-u-arhivu-crossda-radionica-u-okviru-projekta-coordinate-za-zaposlenike-instituta-ivo-pilar/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230208T100000
DTEND;TZID=Europe/Zagreb:20230208T120000
DTSTAMP:20250408T123607Z
CREATED:20250408T123607Z
LAST-MODIFIED:20250408T123607Z
UID:2856-1675850400-1675857600@www.crossda.hr
SUMMARY:Pohrana i objava istraživačkih podataka u arhivu CROSSDA – radionica u okviru projekta COORDINATE za zaposlenike Instituta Ivo Pilar
DESCRIPTION:U okviru projekta COORDINATE\, koji vodi Manchester Metropolitan University i u kojem sudjeluju Institut Ivo Pilar (voditelj Toni Babarović) i CROSSDA – Hrvatski arhiv podataka za društvene znanosti / Filozofski fakultet u Zagrebu (voditeljica Marijana Glavica)\, organiziramo radionicu o pohrani i objavi podataka u arhivu CROSSDA. Jedan od zadataka unutar projekta je identificirati te u arhiv CROSSDA pokušati pohraniti skupove istraživačkih podataka relevantnih za temu projekta COORDINATE – podataka koji se tiču dobrobiti djece i mladih. \nRadionica je namijenjena primarno voditeljima i suradnicima kvantitativnih istraživanja koji su tijekom svibnja i lipnja 2022. dostavili podatke za projekte prepoznate kao relevantne i adekvatne za potencijalno arhiviranje\, ali na radionicu su pozvani i svi drugi zaposlenici Instituta\, istraživači u području društvenih znanosti\, zainteresirani za usluge arhiva CROSSDA. \nCilj radionice je upoznati istraživače s procedurama pohrane i objave podataka u arhivu CROSSDA te ih motivirati na pohranu podataka.  \nObjasnit ćemo osnovne preduvjete za pohranu: prikupljanje dokumentacije\, čišćenje podataka te osiguravanje potrebne razine anonimizacije.  \nDemonstrirat ćemo sustav za objavu podataka data.crossda.hr i proći kroz metapodatke koje je potrebno unijeti.   \nObjasnit ćemo standardne licence koje se koriste pri objavi podataka: otvoreni pristup i pristup ograničen samo za znanstvene svrhe te u svrhu podučavanja.  \nDotaknut ćemo se pravnih (GDPR\, autorska prava) i etičkih pitanja. \nRazgovarat ćemo o nedoumicama i preprekama koje se mogu pojaviti prilikom pohrane i objave podataka.
URL:https://www.crossda.hr/event/pohrana-i-objava-istrazivackih-podataka-u-arhivu-crossda-radionica-u-okviru-projekta-coordinate-za-zaposlenike-instituta-ivo-pilar/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230208T110000
DTEND;TZID=Europe/Zagreb:20230208T120000
DTSTAMP:20260320T080831Z
CREATED:20260320T080829Z
LAST-MODIFIED:20260320T080831Z
UID:3107-1675854000-1675857600@www.crossda.hr
SUMMARY:Pohrana i objava istraživačkih podataka u arhivu CROSSDA – radionica u okviru projekta COORDINATE za zaposlenike Instituta Ivo Pilar
DESCRIPTION:U okviru projekta COORDINATE\, koji vodi Manchester Metropolitan University i u kojem sudjeluju Institut Ivo Pilar (voditelj Toni Babarović) i CROSSDA – Hrvatski arhiv podataka za društvene znanosti / Filozofski fakultet u Zagrebu (voditeljica Marijana Glavica)\, organiziramo radionicu o pohrani i objavi podataka u arhivu CROSSDA. Jedan od zadataka unutar projekta je identificirati te u arhiv CROSSDA pokušati pohraniti skupove istraživačkih podataka relevantnih za temu projekta COORDINATE – podataka koji se tiču dobrobiti djece i mladih. \n\n\n\nRadionica je namijenjena primarno voditeljima i suradnicima kvantitativnih istraživanja koji su tijekom svibnja i lipnja 2022. dostavili podatke za projekte prepoznate kao relevantne i adekvatne za potencijalno arhiviranje\, ali na radionicu su pozvani i svi drugi zaposlenici Instituta\, istraživači u području društvenih znanosti\, zainteresirani za usluge arhiva CROSSDA. \n\n\n\nCilj radionice je upoznati istraživače s procedurama pohrane i objave podataka u arhivu CROSSDA te ih motivirati na pohranu podataka.  \n\n\n\nObjasnit ćemo osnovne preduvjete za pohranu: prikupljanje dokumentacije\, čišćenje podataka te osiguravanje potrebne razine anonimizacije.  \n\n\n\nDemonstrirat ćemo sustav za objavu podataka data.crossda.hr i proći kroz metapodatke koje je potrebno unijeti.   \n\n\n\nObjasnit ćemo standardne licence koje se koriste pri objavi podataka: otvoreni pristup i pristup ograničen samo za znanstvene svrhe te u svrhu podučavanja.  \n\n\n\nDotaknut ćemo se pravnih (GDPR\, autorska prava) i etičkih pitanja. \n\n\n\nRazgovarat ćemo o nedoumicama i preprekama koje se mogu pojaviti prilikom pohrane i objave podataka.
URL:https://www.crossda.hr/event/pohrana-i-objava-istrazivackih-podataka-u-arhivu-crossda-radionica-u-okviru-projekta-coordinate-za-zaposlenike-instituta-ivo-pilar/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230228T211500
DTEND;TZID=Europe/Zagreb:20230228T211500
DTSTAMP:20250313T105016Z
CREATED:20250313T105016Z
LAST-MODIFIED:20250313T105016Z
UID:2131-1677618900-1677618900@www.crossda.hr
SUMMARY:CRRESS – Session 6: Institutional Support: How do journal reproducibility verification services work?
DESCRIPTION:Panelists:Christophe Perignon (HEC Paris)Ben Greiner (Wirtschaftsuniversität Wien)Thu-Mai Christian (University of North Carolina-Chapel Hill) \nModerator:Marie Connolly (UQAM) \nWhen journals conduct active verification of replication packages\, including accessing data and running code\, how does that work? Can journals with limited resources still assess reproducibility? What depth of verification is optimal? Do journals provide a clear indication of whether an article was successfully reproduced? \nFor more information on this session and the rest of the webinar series\, see https://labordynamicsinstitute.github.io/crress/
URL:https://www.crossda.hr/event/crress-session-6-institutional-support-how-do-journal-reproducibility-verification-services-work/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230228T221500
DTEND;TZID=Europe/Zagreb:20230228T221500
DTSTAMP:20250313T103157Z
CREATED:20250313T103157Z
LAST-MODIFIED:20250313T103157Z
UID:2321-1677622500-1677622500@www.crossda.hr
SUMMARY:CRRESS – Session 6: Institutional Support: How do journal reproducibility verification services work?
DESCRIPTION:Panelists:Christophe Perignon (HEC Paris)Ben Greiner (Wirtschaftsuniversität Wien)Thu-Mai Christian (University of North Carolina-Chapel Hill) \nModerator:Marie Connolly (UQAM) \nWhen journals conduct active verification of replication packages\, including accessing data and running code\, how does that work? Can journals with limited resources still assess reproducibility? What depth of verification is optimal? Do journals provide a clear indication of whether an article was successfully reproduced? \nFor more information on this session and the rest of the webinar series\, see https://labordynamicsinstitute.github.io/crress/
URL:https://www.crossda.hr/event/crress-session-6-institutional-support-how-do-journal-reproducibility-verification-services-work/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230228T221500
DTEND;TZID=Europe/Zagreb:20230228T221500
DTSTAMP:20250325T164742Z
CREATED:20250325T164742Z
LAST-MODIFIED:20250325T164742Z
UID:2654-1677622500-1677622500@www.crossda.hr
SUMMARY:CRRESS – Session 6: Institutional Support: How do journal reproducibility verification services work?
DESCRIPTION:Panelists:Christophe Perignon (HEC Paris)Ben Greiner (Wirtschaftsuniversität Wien)Thu-Mai Christian (University of North Carolina-Chapel Hill) \nModerator:Marie Connolly (UQAM) \nWhen journals conduct active verification of replication packages\, including accessing data and running code\, how does that work? Can journals with limited resources still assess reproducibility? What depth of verification is optimal? Do journals provide a clear indication of whether an article was successfully reproduced? \nFor more information on this session and the rest of the webinar series\, see https://labordynamicsinstitute.github.io/crress/
URL:https://www.crossda.hr/event/crress-session-6-institutional-support-how-do-journal-reproducibility-verification-services-work/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230228T221500
DTEND;TZID=Europe/Zagreb:20230228T221500
DTSTAMP:20250408T123653Z
CREATED:20250408T123653Z
LAST-MODIFIED:20250408T123653Z
UID:2868-1677622500-1677622500@www.crossda.hr
SUMMARY:CRRESS – Session 6: Institutional Support: How do journal reproducibility verification services work?
DESCRIPTION:Panelists:Christophe Perignon (HEC Paris)Ben Greiner (Wirtschaftsuniversität Wien)Thu-Mai Christian (University of North Carolina-Chapel Hill) \nModerator:Marie Connolly (UQAM) \nWhen journals conduct active verification of replication packages\, including accessing data and running code\, how does that work? Can journals with limited resources still assess reproducibility? What depth of verification is optimal? Do journals provide a clear indication of whether an article was successfully reproduced? \nFor more information on this session and the rest of the webinar series\, see https://labordynamicsinstitute.github.io/crress/
URL:https://www.crossda.hr/event/crress-session-6-institutional-support-how-do-journal-reproducibility-verification-services-work/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230326T230000
DTEND;TZID=Europe/Zagreb:20230327T230000
DTSTAMP:20250313T105016Z
CREATED:20250313T105016Z
LAST-MODIFIED:20250313T105016Z
UID:2132-1679871600-1679958000@www.crossda.hr
SUMMARY:Research data management when working with children and youth (workshop)
DESCRIPTION:About the Event \nResearch data management when working with children and youth (Workshop) 27 – 28 March 2023\, City Hotel Ljubljana\, Slovenia  \nThe European Commission and many other research funders require researchers to prepare a data management plan (DMP). A DMP helps you plan the resources and expertise required to manage – collect\, document\, protect\, store and share – the data that are expected to be collected. It has become a mandatory part of the project documentation. In order to empower researchers\, training on how to write a DMP properly and how to conduct the research process in the spirit of the FAIR principles is being provided. \nThe workshop is organised in the framework of the COORDINATE project\, which focuses on the management of data on children and young people. A workshop on data management planning – using CESSDA’s online Data Management Expert Guide (DMEG) – will be held\, with a particular focus on the challenges of working with secondary and longitudinal data. Due to the specificity of the population of the datasets analysed\, ethical and legal issues need to be highlighted. The workshop for researchers will cover several aspects of managing sensitive data. \nApplications are closed.
URL:https://www.crossda.hr/event/research-data-management-when-working-with-children-and-youth-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230327T000000
DTEND;TZID=Europe/Zagreb:20230328T000000
DTSTAMP:20250313T103157Z
CREATED:20250313T103157Z
LAST-MODIFIED:20250313T103157Z
UID:2322-1679875200-1679961600@www.crossda.hr
SUMMARY:Research data management when working with children and youth (workshop)
DESCRIPTION:About the Event \nResearch data management when working with children and youth (Workshop) 27 – 28 March 2023\, City Hotel Ljubljana\, Slovenia  \nThe European Commission and many other research funders require researchers to prepare a data management plan (DMP). A DMP helps you plan the resources and expertise required to manage – collect\, document\, protect\, store and share – the data that are expected to be collected. It has become a mandatory part of the project documentation. In order to empower researchers\, training on how to write a DMP properly and how to conduct the research process in the spirit of the FAIR principles is being provided. \nThe workshop is organised in the framework of the COORDINATE project\, which focuses on the management of data on children and young people. A workshop on data management planning – using CESSDA’s online Data Management Expert Guide (DMEG) – will be held\, with a particular focus on the challenges of working with secondary and longitudinal data. Due to the specificity of the population of the datasets analysed\, ethical and legal issues need to be highlighted. The workshop for researchers will cover several aspects of managing sensitive data. \nApplications are closed.
URL:https://www.crossda.hr/event/research-data-management-when-working-with-children-and-youth-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230327T000000
DTEND;TZID=Europe/Zagreb:20230328T000000
DTSTAMP:20250325T164743Z
CREATED:20250325T164743Z
LAST-MODIFIED:20250325T164743Z
UID:2655-1679875200-1679961600@www.crossda.hr
SUMMARY:Research data management when working with children and youth (workshop)
DESCRIPTION:About the Event \nResearch data management when working with children and youth (Workshop) 27 – 28 March 2023\, City Hotel Ljubljana\, Slovenia  \nThe European Commission and many other research funders require researchers to prepare a data management plan (DMP). A DMP helps you plan the resources and expertise required to manage – collect\, document\, protect\, store and share – the data that are expected to be collected. It has become a mandatory part of the project documentation. In order to empower researchers\, training on how to write a DMP properly and how to conduct the research process in the spirit of the FAIR principles is being provided. \nThe workshop is organised in the framework of the COORDINATE project\, which focuses on the management of data on children and young people. A workshop on data management planning – using CESSDA’s online Data Management Expert Guide (DMEG) – will be held\, with a particular focus on the challenges of working with secondary and longitudinal data. Due to the specificity of the population of the datasets analysed\, ethical and legal issues need to be highlighted. The workshop for researchers will cover several aspects of managing sensitive data. \nApplications are closed.
URL:https://www.crossda.hr/event/research-data-management-when-working-with-children-and-youth-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230327T080000
DTEND;TZID=Europe/Zagreb:20230328T180000
DTSTAMP:20250408T123653Z
CREATED:20250408T123653Z
LAST-MODIFIED:20250408T123653Z
UID:2869-1679904000-1680026400@www.crossda.hr
SUMMARY:Research data management when working with children and youth (workshop)
DESCRIPTION:About the Event \nResearch data management when working with children and youth (Workshop) 27 – 28 March 2023\, City Hotel Ljubljana\, Slovenia  \nThe European Commission and many other research funders require researchers to prepare a data management plan (DMP). A DMP helps you plan the resources and expertise required to manage – collect\, document\, protect\, store and share – the data that are expected to be collected. It has become a mandatory part of the project documentation. In order to empower researchers\, training on how to write a DMP properly and how to conduct the research process in the spirit of the FAIR principles is being provided. \nThe workshop is organised in the framework of the COORDINATE project\, which focuses on the management of data on children and young people. A workshop on data management planning – using CESSDA’s online Data Management Expert Guide (DMEG) – will be held\, with a particular focus on the challenges of working with secondary and longitudinal data. Due to the specificity of the population of the datasets analysed\, ethical and legal issues need to be highlighted. The workshop for researchers will cover several aspects of managing sensitive data. \nApplications are closed.
URL:https://www.crossda.hr/event/research-data-management-when-working-with-children-and-youth-workshop/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230417T230000
DTEND;TZID=Europe/Zagreb:20230503T230000
DTSTAMP:20250313T105005Z
CREATED:20250313T105005Z
LAST-MODIFIED:20250313T105005Z
UID:2127-1681772400-1683154800@www.crossda.hr
SUMMARY:Metascience 2023 Conference – Virtual Symposia
DESCRIPTION:Serija virtualnih simpzijuma organiziranih u okviru konferencije Metascience 2023 održat će se od 18.4.2023. do 4.5.2023.\, prije same konferencije\, koja je ove godine organizirana uživo 9.-10.5.2023. (streaming će biti dostupan za dio predavanja). \nZa sudjelovanje u simozijima možete se prijaviti na stranici https://metascience.info/virtual-symposia/. \nJedan od ovih virtualnih simpozija – Reducing Research Waste Across Sciences – održat će znanstvenica Antica Čulina s Instituta Ruđer Bošković.
URL:https://www.crossda.hr/event/metascience-2023-conference-virtual-symposia/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230418T000000
DTEND;TZID=Europe/Zagreb:20230504T000000
DTSTAMP:20250313T103150Z
CREATED:20250313T103150Z
LAST-MODIFIED:20250313T103150Z
UID:2317-1681776000-1683158400@www.crossda.hr
SUMMARY:Metascience 2023 Conference – Virtual Symposia
DESCRIPTION:Serija virtualnih simpzijuma organiziranih u okviru konferencije Metascience 2023 održat će se od 18.4.2023. do 4.5.2023.\, prije same konferencije\, koja je ove godine organizirana uživo 9.-10.5.2023. (streaming će biti dostupan za dio predavanja). \nZa sudjelovanje u simozijima možete se prijaviti na stranici https://metascience.info/virtual-symposia/. \nJedan od ovih virtualnih simpozija – Reducing Research Waste Across Sciences – održat će znanstvenica Antica Čulina s Instituta Ruđer Bošković.
URL:https://www.crossda.hr/event/metascience-2023-conference-virtual-symposia/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230418T000000
DTEND;TZID=Europe/Zagreb:20230504T000000
DTSTAMP:20250325T164732Z
CREATED:20250325T164732Z
LAST-MODIFIED:20250325T164732Z
UID:2650-1681776000-1683158400@www.crossda.hr
SUMMARY:Metascience 2023 Conference – Virtual Symposia
DESCRIPTION:Serija virtualnih simpzijuma organiziranih u okviru konferencije Metascience 2023 održat će se od 18.4.2023. do 4.5.2023.\, prije same konferencije\, koja je ove godine organizirana uživo 9.-10.5.2023. (streaming će biti dostupan za dio predavanja). \nZa sudjelovanje u simozijima možete se prijaviti na stranici https://metascience.info/virtual-symposia/. \nJedan od ovih virtualnih simpozija – Reducing Research Waste Across Sciences – održat će znanstvenica Antica Čulina s Instituta Ruđer Bošković.
URL:https://www.crossda.hr/event/metascience-2023-conference-virtual-symposia/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230418T080000
DTEND;TZID=Europe/Zagreb:20230504T180000
DTSTAMP:20250408T123638Z
CREATED:20250408T123638Z
LAST-MODIFIED:20250408T123638Z
UID:2864-1681804800-1683223200@www.crossda.hr
SUMMARY:Metascience 2023 Conference – Virtual Symposia
DESCRIPTION:Serija virtualnih simpzijuma organiziranih u okviru konferencije Metascience 2023 održat će se od 18.4.2023. do 4.5.2023.\, prije same konferencije\, koja je ove godine organizirana uživo 9.-10.5.2023. (streaming će biti dostupan za dio predavanja). \nZa sudjelovanje u simozijima možete se prijaviti na stranici https://metascience.info/virtual-symposia/. \nJedan od ovih virtualnih simpozija – Reducing Research Waste Across Sciences – održat će znanstvenica Antica Čulina s Instituta Ruđer Bošković.
URL:https://www.crossda.hr/event/metascience-2023-conference-virtual-symposia/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230505T134500
DTEND;TZID=Europe/Zagreb:20230505T163000
DTSTAMP:20250313T105003Z
CREATED:20250313T105003Z
LAST-MODIFIED:20250313T105003Z
UID:2124-1683294300-1683304200@www.crossda.hr
SUMMARY:Upravljanje istraživačkim podacima – doktorska radionica za studente povijesti umjetnosti
DESCRIPTION:Doktorandi će se upoznati s izvorima digitalnih podataka koje povjesničari umjetnosti mogu koristiti za svoja istraživanja te s glavnim projektima i inicijativama koje se bave razvojem istraživačke infrastrukture za područje humanističkih znanosti. Naučit će što je upravljanje podacima i zašto je važno\, koju dokumentaciju je potrebmo prikupiti uz podatke\, kako organizirati podatke\, gdje ih čuvati i kako brinuti o sigurnosti podataka. Upoznat će se s osnovnim pravnim i etičkim pitanjima prilikom korištenja postojećih podataka ili kod objave vlastitih podataka. Izradit će plan upravljanja podacima za svoje doktorsko istraživanje. Uputit će ih se gdje i kako mogu objaviti i arhivirati podatke koje prikupe u vlastitim istraživanjima. \nPrezentacija
URL:https://www.crossda.hr/event/upravljanje-istrazivackim-podacima-doktorska-radionica-za-studente-povijesti-umjetnosti/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230505T144500
DTEND;TZID=Europe/Zagreb:20230505T173000
DTSTAMP:20250313T103142Z
CREATED:20250313T103142Z
LAST-MODIFIED:20250313T103142Z
UID:2314-1683297900-1683307800@www.crossda.hr
SUMMARY:Upravljanje istraživačkim podacima – doktorska radionica za studente povijesti umjetnosti
DESCRIPTION:Doktorandi će se upoznati s izvorima digitalnih podataka koje povjesničari umjetnosti mogu koristiti za svoja istraživanja te s glavnim projektima i inicijativama koje se bave razvojem istraživačke infrastrukture za područje humanističkih znanosti. Naučit će što je upravljanje podacima i zašto je važno\, koju dokumentaciju je potrebmo prikupiti uz podatke\, kako organizirati podatke\, gdje ih čuvati i kako brinuti o sigurnosti podataka. Upoznat će se s osnovnim pravnim i etičkim pitanjima prilikom korištenja postojećih podataka ili kod objave vlastitih podataka. Izradit će plan upravljanja podacima za svoje doktorsko istraživanje. Uputit će ih se gdje i kako mogu objaviti i arhivirati podatke koje prikupe u vlastitim istraživanjima. \nPrezentacija
URL:https://www.crossda.hr/event/upravljanje-istrazivackim-podacima-doktorska-radionica-za-studente-povijesti-umjetnosti/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230505T144500
DTEND;TZID=Europe/Zagreb:20230505T173000
DTSTAMP:20250325T164732Z
CREATED:20250325T164732Z
LAST-MODIFIED:20250325T164732Z
UID:2647-1683297900-1683307800@www.crossda.hr
SUMMARY:Upravljanje istraživačkim podacima – doktorska radionica za studente povijesti umjetnosti
DESCRIPTION:Doktorandi će se upoznati s izvorima digitalnih podataka koje povjesničari umjetnosti mogu koristiti za svoja istraživanja te s glavnim projektima i inicijativama koje se bave razvojem istraživačke infrastrukture za područje humanističkih znanosti. Naučit će što je upravljanje podacima i zašto je važno\, koju dokumentaciju je potrebmo prikupiti uz podatke\, kako organizirati podatke\, gdje ih čuvati i kako brinuti o sigurnosti podataka. Upoznat će se s osnovnim pravnim i etičkim pitanjima prilikom korištenja postojećih podataka ili kod objave vlastitih podataka. Izradit će plan upravljanja podacima za svoje doktorsko istraživanje. Uputit će ih se gdje i kako mogu objaviti i arhivirati podatke koje prikupe u vlastitim istraživanjima. \nPrezentacija
URL:https://www.crossda.hr/event/upravljanje-istrazivackim-podacima-doktorska-radionica-za-studente-povijesti-umjetnosti/
LOCATION:Sveučilište u Zagrebu Filozofski fakultet
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230505T144500
DTEND;TZID=Europe/Zagreb:20230505T173000
DTSTAMP:20250408T123623Z
CREATED:20250408T123623Z
LAST-MODIFIED:20250408T123623Z
UID:2861-1683297900-1683307800@www.crossda.hr
SUMMARY:Upravljanje istraživačkim podacima – doktorska radionica za studente povijesti umjetnosti
DESCRIPTION:Doktorandi će se upoznati s izvorima digitalnih podataka koje povjesničari umjetnosti mogu koristiti za svoja istraživanja te s glavnim projektima i inicijativama koje se bave razvojem istraživačke infrastrukture za područje humanističkih znanosti. Naučit će što je upravljanje podacima i zašto je važno\, koju dokumentaciju je potrebmo prikupiti uz podatke\, kako organizirati podatke\, gdje ih čuvati i kako brinuti o sigurnosti podataka. Upoznat će se s osnovnim pravnim i etičkim pitanjima prilikom korištenja postojećih podataka ili kod objave vlastitih podataka. Izradit će plan upravljanja podacima za svoje doktorsko istraživanje. Uputit će ih se gdje i kako mogu objaviti i arhivirati podatke koje prikupe u vlastitim istraživanjima. \nPrezentacija
URL:https://www.crossda.hr/event/upravljanje-istrazivackim-podacima-doktorska-radionica-za-studente-povijesti-umjetnosti/
LOCATION:Sveučilište u Zagrebu Filozofski fakultet
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230507T230000
DTEND;TZID=Europe/Zagreb:20230509T230000
DTSTAMP:20250313T105016Z
CREATED:20250313T105016Z
LAST-MODIFIED:20250313T105016Z
UID:2135-1683500400-1683673200@www.crossda.hr
SUMMARY:4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science
DESCRIPTION:You are invited to participate in the 4th symposium on big data and research syntheses in psychology to be held in Frankfurt am Main\, Germany (May 8–10\, 2023).We are pleased to collaborate with Europe’s Journal of Psychology (EJOP):Selected contributions from the symposium will be invited for full-text submission to a special thematic section of EJOP!The 2023 edition builds on the success of our prior events: \nResearch Synthesis and Big Data in Psychology\, May 17-21\, 2021\, online \nResearch Synthesis incl. Pre-Conference Symposium: Big Data in Psychology\, May 27-31\, 2019\, Dubrovnik\, Croatia \nTwin Conference Research Synthesis / Big Data in Psychology 2018\, June 7-9\, 2018\, Trier\, Germany \nThe symposium will address the question:Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?What big data and research syntheses have in common is the challenge of dealing with large\, novel\, and ever-growing amounts of data in psychology. On the one hand\, data from social media\, as well as sensor data\, are of growing interest in psychology. On the other hand\, science is producing more publications and at a higher rate\, making it increasingly difficult to keep track of the current state of knowledge.In recent years\, machine learning has become a key tool to address these challenges. Methodological advancements along with freely available software\, as well as advances in data storage and computational capacities\, make it possible to deal with data of large volume\, velocity\, and variety. There are also promising applications for summarizing scientific evidence\, for example\, through automation in screening a large and dynamically growing body of literature.At the same time\, open science plays an important role: On the one hand\, to create more efficient workflows by sharing data\, methodological documentation\, technical tools and analysis scripts within science. Especially when applying machine learning methods\, transparent documentation and provision of the analysis code are indispensable for their reproducibility. On the other hand\, to make scientific evidence accessible and usable by communicating it to the outside world in a way that is understandable to laypersons. The symposium is scheduled to take place in Frankfurt am Main\, Germany\, in May 2023 and will last three days. On the first day\, introductions to open science and machine learning will provide the basics to the audience. The second day addresses different applications of machine learning\, with a focus on the areas of sensor data and social media\, as well as automation of research syntheses. Finally\, the third day is devoted to the importance and purposeful practices of open science: To improve workflows within science and make findings more available and understandable to the world beyond academia. 
URL:https://www.crossda.hr/event/4th-symposium-on-big-data-and-research-syntheses-in-psychology-with-a-special-focus-on-machine-learning-open-science/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230508T000000
DTEND;TZID=Europe/Zagreb:20230510T000000
DTSTAMP:20250313T103158Z
CREATED:20250313T103158Z
LAST-MODIFIED:20250313T103158Z
UID:2325-1683504000-1683676800@www.crossda.hr
SUMMARY:4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science
DESCRIPTION:You are invited to participate in the 4th symposium on big data and research syntheses in psychology to be held in Frankfurt am Main\, Germany (May 8–10\, 2023).We are pleased to collaborate with Europe’s Journal of Psychology (EJOP):Selected contributions from the symposium will be invited for full-text submission to a special thematic section of EJOP!The 2023 edition builds on the success of our prior events: \nResearch Synthesis and Big Data in Psychology\, May 17-21\, 2021\, online \nResearch Synthesis incl. Pre-Conference Symposium: Big Data in Psychology\, May 27-31\, 2019\, Dubrovnik\, Croatia \nTwin Conference Research Synthesis / Big Data in Psychology 2018\, June 7-9\, 2018\, Trier\, Germany \nThe symposium will address the question:Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?What big data and research syntheses have in common is the challenge of dealing with large\, novel\, and ever-growing amounts of data in psychology. On the one hand\, data from social media\, as well as sensor data\, are of growing interest in psychology. On the other hand\, science is producing more publications and at a higher rate\, making it increasingly difficult to keep track of the current state of knowledge.In recent years\, machine learning has become a key tool to address these challenges. Methodological advancements along with freely available software\, as well as advances in data storage and computational capacities\, make it possible to deal with data of large volume\, velocity\, and variety. There are also promising applications for summarizing scientific evidence\, for example\, through automation in screening a large and dynamically growing body of literature.At the same time\, open science plays an important role: On the one hand\, to create more efficient workflows by sharing data\, methodological documentation\, technical tools and analysis scripts within science. Especially when applying machine learning methods\, transparent documentation and provision of the analysis code are indispensable for their reproducibility. On the other hand\, to make scientific evidence accessible and usable by communicating it to the outside world in a way that is understandable to laypersons. The symposium is scheduled to take place in Frankfurt am Main\, Germany\, in May 2023 and will last three days. On the first day\, introductions to open science and machine learning will provide the basics to the audience. The second day addresses different applications of machine learning\, with a focus on the areas of sensor data and social media\, as well as automation of research syntheses. Finally\, the third day is devoted to the importance and purposeful practices of open science: To improve workflows within science and make findings more available and understandable to the world beyond academia. 
URL:https://www.crossda.hr/event/4th-symposium-on-big-data-and-research-syntheses-in-psychology-with-a-special-focus-on-machine-learning-open-science/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230508T000000
DTEND;TZID=Europe/Zagreb:20230510T235959
DTSTAMP:20250328T112234Z
CREATED:20250325T164748Z
LAST-MODIFIED:20250328T112234Z
UID:2658-1683504000-1683763199@www.crossda.hr
SUMMARY:4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science
DESCRIPTION:You are invited to participate in the 4th symposium on big data and research syntheses in psychology to be held in Frankfurt am Main\, Germany (May 8–10\, 2023).We are pleased to collaborate with Europe’s Journal of Psychology (EJOP):Selected contributions from the symposium will be invited for full-text submission to a special thematic section of EJOP!The 2023 edition builds on the success of our prior events: \nResearch Synthesis and Big Data in Psychology\, May 17-21\, 2021\, online \nResearch Synthesis incl. Pre-Conference Symposium: Big Data in Psychology\, May 27-31\, 2019\, Dubrovnik\, Croatia \nTwin Conference Research Synthesis / Big Data in Psychology 2018\, June 7-9\, 2018\, Trier\, Germany \nThe symposium will address the question:Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?What big data and research syntheses have in common is the challenge of dealing with large\, novel\, and ever-growing amounts of data in psychology. On the one hand\, data from social media\, as well as sensor data\, are of growing interest in psychology. On the other hand\, science is producing more publications and at a higher rate\, making it increasingly difficult to keep track of the current state of knowledge.In recent years\, machine learning has become a key tool to address these challenges. Methodological advancements along with freely available software\, as well as advances in data storage and computational capacities\, make it possible to deal with data of large volume\, velocity\, and variety. There are also promising applications for summarizing scientific evidence\, for example\, through automation in screening a large and dynamically growing body of literature.At the same time\, open science plays an important role: On the one hand\, to create more efficient workflows by sharing data\, methodological documentation\, technical tools and analysis scripts within science. Especially when applying machine learning methods\, transparent documentation and provision of the analysis code are indispensable for their reproducibility. On the other hand\, to make scientific evidence accessible and usable by communicating it to the outside world in a way that is understandable to laypersons. The symposium is scheduled to take place in Frankfurt am Main\, Germany\, in May 2023 and will last three days. On the first day\, introductions to open science and machine learning will provide the basics to the audience. The second day addresses different applications of machine learning\, with a focus on the areas of sensor data and social media\, as well as automation of research syntheses. Finally\, the third day is devoted to the importance and purposeful practices of open science: To improve workflows within science and make findings more available and understandable to the world beyond academia.
URL:https://www.crossda.hr/event/4th-symposium-on-big-data-and-research-syntheses-in-psychology-with-a-special-focus-on-machine-learning-open-science/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230508T080000
DTEND;TZID=Europe/Zagreb:20230510T180000
DTSTAMP:20250408T123653Z
CREATED:20250408T123653Z
LAST-MODIFIED:20250408T123653Z
UID:2872-1683532800-1683741600@www.crossda.hr
SUMMARY:4th Symposium on Big Data and Research Syntheses in Psychology with a special focus on Machine Learning & Open Science
DESCRIPTION:You are invited to participate in the 4th symposium on big data and research syntheses in psychology to be held in Frankfurt am Main\, Germany (May 8–10\, 2023).We are pleased to collaborate with Europe’s Journal of Psychology (EJOP):Selected contributions from the symposium will be invited for full-text submission to a special thematic section of EJOP!The 2023 edition builds on the success of our prior events: \nResearch Synthesis and Big Data in Psychology\, May 17-21\, 2021\, online \nResearch Synthesis incl. Pre-Conference Symposium: Big Data in Psychology\, May 27-31\, 2019\, Dubrovnik\, Croatia \nTwin Conference Research Synthesis / Big Data in Psychology 2018\, June 7-9\, 2018\, Trier\, Germany \nThe symposium will address the question:Psychological research in times of big data: How can machine learning and open science help to cope with the information overload?What big data and research syntheses have in common is the challenge of dealing with large\, novel\, and ever-growing amounts of data in psychology. On the one hand\, data from social media\, as well as sensor data\, are of growing interest in psychology. On the other hand\, science is producing more publications and at a higher rate\, making it increasingly difficult to keep track of the current state of knowledge.In recent years\, machine learning has become a key tool to address these challenges. Methodological advancements along with freely available software\, as well as advances in data storage and computational capacities\, make it possible to deal with data of large volume\, velocity\, and variety. There are also promising applications for summarizing scientific evidence\, for example\, through automation in screening a large and dynamically growing body of literature.At the same time\, open science plays an important role: On the one hand\, to create more efficient workflows by sharing data\, methodological documentation\, technical tools and analysis scripts within science. Especially when applying machine learning methods\, transparent documentation and provision of the analysis code are indispensable for their reproducibility. On the other hand\, to make scientific evidence accessible and usable by communicating it to the outside world in a way that is understandable to laypersons. The symposium is scheduled to take place in Frankfurt am Main\, Germany\, in May 2023 and will last three days. On the first day\, introductions to open science and machine learning will provide the basics to the audience. The second day addresses different applications of machine learning\, with a focus on the areas of sensor data and social media\, as well as automation of research syntheses. Finally\, the third day is devoted to the importance and purposeful practices of open science: To improve workflows within science and make findings more available and understandable to the world beyond academia. 
URL:https://www.crossda.hr/event/4th-symposium-on-big-data-and-research-syntheses-in-psychology-with-a-special-focus-on-machine-learning-open-science-2/
END:VEVENT
END:VCALENDAR