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DTSTART:20220327T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230606T120000
DTEND;TZID=Europe/Zagreb:20230606T140000
DTSTAMP:20250313T105003Z
CREATED:20250313T105003Z
LAST-MODIFIED:20250313T105003Z
UID:2123-1686052800-1686060000@www.crossda.hr
SUMMARY:20 years of the European Social Survey: Time-series analysis II
DESCRIPTION:Tuesday\, 6th June 2023\, 13:00 – 15:00 / Online / Public / Free \nThis latest European Social Survey (ESS) webinar will feature presentations from researchers who have conducted analysis of data collected over the first 20 years of the project (2002-22). \nOrganised by the ESS HQ based at City\, University of London\, presentations will focus on support for income redistribution; religiosity among young respondents; life satisfaction across time and generations; and internet access by age and other socio-demographics. \nViše informacija i prijave
URL:https://www.crossda.hr/event/20-years-of-the-european-social-survey-time-series-analysis-ii/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230606T130000
DTEND;TZID=Europe/Zagreb:20230606T150000
DTSTAMP:20250313T103142Z
CREATED:20250313T103142Z
LAST-MODIFIED:20250313T103142Z
UID:2313-1686056400-1686063600@www.crossda.hr
SUMMARY:20 years of the European Social Survey: Time-series analysis II
DESCRIPTION:Tuesday\, 6th June 2023\, 13:00 – 15:00 / Online / Public / Free \nThis latest European Social Survey (ESS) webinar will feature presentations from researchers who have conducted analysis of data collected over the first 20 years of the project (2002-22). \nOrganised by the ESS HQ based at City\, University of London\, presentations will focus on support for income redistribution; religiosity among young respondents; life satisfaction across time and generations; and internet access by age and other socio-demographics. \nViše informacija i prijave
URL:https://www.crossda.hr/event/20-years-of-the-european-social-survey-time-series-analysis-ii/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230606T130000
DTEND;TZID=Europe/Zagreb:20230606T150000
DTSTAMP:20250325T164732Z
CREATED:20250325T164732Z
LAST-MODIFIED:20250325T164732Z
UID:2646-1686056400-1686063600@www.crossda.hr
SUMMARY:20 years of the European Social Survey: Time-series analysis II
DESCRIPTION:Tuesday\, 6th June 2023\, 13:00 – 15:00 / Online / Public / Free \nThis latest European Social Survey (ESS) webinar will feature presentations from researchers who have conducted analysis of data collected over the first 20 years of the project (2002-22). \nOrganised by the ESS HQ based at City\, University of London\, presentations will focus on support for income redistribution; religiosity among young respondents; life satisfaction across time and generations; and internet access by age and other socio-demographics. \nViše informacija i prijave
URL:https://www.crossda.hr/event/20-years-of-the-european-social-survey-time-series-analysis-ii/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230606T130000
DTEND;TZID=Europe/Zagreb:20230606T150000
DTSTAMP:20250408T123623Z
CREATED:20250408T123623Z
LAST-MODIFIED:20250408T123623Z
UID:2860-1686056400-1686063600@www.crossda.hr
SUMMARY:20 years of the European Social Survey: Time-series analysis II
DESCRIPTION:Tuesday\, 6th June 2023\, 13:00 – 15:00 / Online / Public / Free \nThis latest European Social Survey (ESS) webinar will feature presentations from researchers who have conducted analysis of data collected over the first 20 years of the project (2002-22). \nOrganised by the ESS HQ based at City\, University of London\, presentations will focus on support for income redistribution; religiosity among young respondents; life satisfaction across time and generations; and internet access by age and other socio-demographics. \nViše informacija i prijave
URL:https://www.crossda.hr/event/20-years-of-the-european-social-survey-time-series-analysis-ii/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230716T230000
DTEND;TZID=Europe/Zagreb:20230719T230000
DTSTAMP:20250313T105006Z
CREATED:20250313T105006Z
LAST-MODIFIED:20250313T105006Z
UID:2130-1689548400-1689807600@www.crossda.hr
SUMMARY:ESRA23 – European Survey Research Association
DESCRIPTION:Summary \nThe 10th Conference of the European Survey Research Association will take place from 17 to 22 July 2023. The conference theme is “Survey research in times of crisis: Challenges\, opportunities\, and new directions”. \nDescription \nThe conference will be hosted by the University of Milan Bicocca\, in Milan\, Italy. \nThe ESRA Conference Scientific Committee is now inviting researchers with a variety of backgrounds\, including academic research\, official statistics\, commercial research\, and government social research\, who are active in the field of survey research\, survey methodology\, social data science\, and data analysis to submit proposals for sessions. \nSession abstracts (max. 300 words) can be submitted via the ESRA conference management system by 15 September 2022. \nFind out more on the conference website.
URL:https://www.crossda.hr/event/esra23-european-survey-research-association/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230717T000000
DTEND;TZID=Europe/Zagreb:20230720T000000
DTSTAMP:20250313T103151Z
CREATED:20250313T103151Z
LAST-MODIFIED:20250313T103151Z
UID:2320-1689552000-1689811200@www.crossda.hr
SUMMARY:ESRA23 – European Survey Research Association
DESCRIPTION:Summary \nThe 10th Conference of the European Survey Research Association will take place from 17 to 22 July 2023. The conference theme is “Survey research in times of crisis: Challenges\, opportunities\, and new directions”. \nDescription \nThe conference will be hosted by the University of Milan Bicocca\, in Milan\, Italy. \nThe ESRA Conference Scientific Committee is now inviting researchers with a variety of backgrounds\, including academic research\, official statistics\, commercial research\, and government social research\, who are active in the field of survey research\, survey methodology\, social data science\, and data analysis to submit proposals for sessions. \nSession abstracts (max. 300 words) can be submitted via the ESRA conference management system by 15 September 2022. \nFind out more on the conference website.
URL:https://www.crossda.hr/event/esra23-european-survey-research-association/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230717T000000
DTEND;TZID=Europe/Zagreb:20230720T000000
DTSTAMP:20250325T164742Z
CREATED:20250325T164742Z
LAST-MODIFIED:20250325T164742Z
UID:2653-1689552000-1689811200@www.crossda.hr
SUMMARY:ESRA23 – European Survey Research Association
DESCRIPTION:Summary \nThe 10th Conference of the European Survey Research Association will take place from 17 to 22 July 2023. The conference theme is “Survey research in times of crisis: Challenges\, opportunities\, and new directions”. \nDescription \nThe conference will be hosted by the University of Milan Bicocca\, in Milan\, Italy. \nThe ESRA Conference Scientific Committee is now inviting researchers with a variety of backgrounds\, including academic research\, official statistics\, commercial research\, and government social research\, who are active in the field of survey research\, survey methodology\, social data science\, and data analysis to submit proposals for sessions. \nSession abstracts (max. 300 words) can be submitted via the ESRA conference management system by 15 September 2022. \nFind out more on the conference website.
URL:https://www.crossda.hr/event/esra23-european-survey-research-association/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230717T080000
DTEND;TZID=Europe/Zagreb:20230720T180000
DTSTAMP:20250408T123638Z
CREATED:20250408T123638Z
LAST-MODIFIED:20250408T123638Z
UID:2867-1689580800-1689876000@www.crossda.hr
SUMMARY:ESRA23 – European Survey Research Association
DESCRIPTION:Summary \nThe 10th Conference of the European Survey Research Association will take place from 17 to 22 July 2023. The conference theme is “Survey research in times of crisis: Challenges\, opportunities\, and new directions”. \nDescription \nThe conference will be hosted by the University of Milan Bicocca\, in Milan\, Italy. \nThe ESRA Conference Scientific Committee is now inviting researchers with a variety of backgrounds\, including academic research\, official statistics\, commercial research\, and government social research\, who are active in the field of survey research\, survey methodology\, social data science\, and data analysis to submit proposals for sessions. \nSession abstracts (max. 300 words) can be submitted via the ESRA conference management system by 15 September 2022. \nFind out more on the conference website.
URL:https://www.crossda.hr/event/esra23-european-survey-research-association/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230813T230000
DTEND;TZID=Europe/Zagreb:20230817T230000
DTSTAMP:20250313T105003Z
CREATED:20250313T105003Z
LAST-MODIFIED:20250313T105003Z
UID:2121-1691967600-1692313200@www.crossda.hr
SUMMARY:Missing Data and Multiple Imputation
DESCRIPTION:Course description \nThis online course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data\, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R\, SAS\, Stata\, SPSS\,…)\, the method has become more accessible to data analysts. For didactic purposes\, we start by introducing some naive ways of handling missing data\, and we use the examination of their weaknesses to create an understanding of the framework of Multiple Imputation. The first day of this course is of a somewhat theoretical nature\, but we believe that a fundamental understanding of the MI principle helps to adapt to a wider range of practical problems than focusing on a few select situations. We will subsequently shift to the more practical aspects of statistical analysis with missing data\, and we will address frequent problems like regression with missing data. Further examples will be covered throughout the course\, which are predominantly based on the statistical language R. We recommend basic R skills for this course\, but it is possible to understand the course contents without prior knowledge in R\, as the main MI algorithms are almost identical across all major software packages. \nFor additional details on the course and a day-to-day schedule\, please download the full-length syllabus. \nLecturer(s): Florian Meinfelder\, Angelina Hammon \nMore information and registration
URL:https://www.crossda.hr/event/missing-data-and-multiple-imputation/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230814T000000
DTEND;TZID=Europe/Zagreb:20230818T000000
DTSTAMP:20250313T103141Z
CREATED:20250313T103141Z
LAST-MODIFIED:20250313T103141Z
UID:2311-1691971200-1692316800@www.crossda.hr
SUMMARY:Missing Data and Multiple Imputation
DESCRIPTION:Course description \nThis online course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data\, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R\, SAS\, Stata\, SPSS\,…)\, the method has become more accessible to data analysts. For didactic purposes\, we start by introducing some naive ways of handling missing data\, and we use the examination of their weaknesses to create an understanding of the framework of Multiple Imputation. The first day of this course is of a somewhat theoretical nature\, but we believe that a fundamental understanding of the MI principle helps to adapt to a wider range of practical problems than focusing on a few select situations. We will subsequently shift to the more practical aspects of statistical analysis with missing data\, and we will address frequent problems like regression with missing data. Further examples will be covered throughout the course\, which are predominantly based on the statistical language R. We recommend basic R skills for this course\, but it is possible to understand the course contents without prior knowledge in R\, as the main MI algorithms are almost identical across all major software packages. \nFor additional details on the course and a day-to-day schedule\, please download the full-length syllabus. \nLecturer(s): Florian Meinfelder\, Angelina Hammon \nMore information and registration
URL:https://www.crossda.hr/event/missing-data-and-multiple-imputation/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230814T000000
DTEND;TZID=Europe/Zagreb:20230818T000000
DTSTAMP:20250325T164722Z
CREATED:20250325T164722Z
LAST-MODIFIED:20250325T164722Z
UID:2644-1691971200-1692316800@www.crossda.hr
SUMMARY:Missing Data and Multiple Imputation
DESCRIPTION:Course description \nThis online course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data\, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R\, SAS\, Stata\, SPSS\,…)\, the method has become more accessible to data analysts. For didactic purposes\, we start by introducing some naive ways of handling missing data\, and we use the examination of their weaknesses to create an understanding of the framework of Multiple Imputation. The first day of this course is of a somewhat theoretical nature\, but we believe that a fundamental understanding of the MI principle helps to adapt to a wider range of practical problems than focusing on a few select situations. We will subsequently shift to the more practical aspects of statistical analysis with missing data\, and we will address frequent problems like regression with missing data. Further examples will be covered throughout the course\, which are predominantly based on the statistical language R. We recommend basic R skills for this course\, but it is possible to understand the course contents without prior knowledge in R\, as the main MI algorithms are almost identical across all major software packages. \nFor additional details on the course and a day-to-day schedule\, please download the full-length syllabus. \nLecturer(s): Florian Meinfelder\, Angelina Hammon \nMore information and registration
URL:https://www.crossda.hr/event/missing-data-and-multiple-imputation/
LOCATION:Online via Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230814T140000
DTEND;TZID=Europe/Zagreb:20230818T180000
DTSTAMP:20250408T123623Z
CREATED:20250408T123623Z
LAST-MODIFIED:20250408T123623Z
UID:2858-1692021600-1692381600@www.crossda.hr
SUMMARY:Missing Data and Multiple Imputation
DESCRIPTION:Course description \nThis online course provides an introduction to the theory and application of Multiple Imputation (MI) (Rubin 1987) which has become a very popular way for handling missing data\, because it allows for correct statistical inference in the presence of missing data. With the advent of MI algorithms implemented in statistical standard software (R\, SAS\, Stata\, SPSS\,…)\, the method has become more accessible to data analysts. For didactic purposes\, we start by introducing some naive ways of handling missing data\, and we use the examination of their weaknesses to create an understanding of the framework of Multiple Imputation. The first day of this course is of a somewhat theoretical nature\, but we believe that a fundamental understanding of the MI principle helps to adapt to a wider range of practical problems than focusing on a few select situations. We will subsequently shift to the more practical aspects of statistical analysis with missing data\, and we will address frequent problems like regression with missing data. Further examples will be covered throughout the course\, which are predominantly based on the statistical language R. We recommend basic R skills for this course\, but it is possible to understand the course contents without prior knowledge in R\, as the main MI algorithms are almost identical across all major software packages. \nFor additional details on the course and a day-to-day schedule\, please download the full-length syllabus. \nLecturer(s): Florian Meinfelder\, Angelina Hammon \nMore information and registration
URL:https://www.crossda.hr/event/missing-data-and-multiple-imputation/
LOCATION:Online via Zoom
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230911T230000
DTEND;TZID=Europe/Zagreb:20230913T230000
DTSTAMP:20250313T105006Z
CREATED:20250313T105006Z
LAST-MODIFIED:20250313T105006Z
UID:2129-1694473200-1694646000@www.crossda.hr
SUMMARY:1st Conference on Research Data Infrastructure – Connecting Communities
DESCRIPTION:September 12th – 14th\, 2023Karlsruhe (Germany) \nResearch data form the basis for knowledge and innovation throughout all scientific disciplines. They play a fundamental role in the progress of our society. The key to using these data treasures is an effective infrastructure. \nThe Association German National Research Data Infrastructure (NFDI) is initiating the first Conference on Research Data Infrastructure (CoRDI) from 12th to 14th September 2023. The main topics of the conference include technical and non-technical aspects for establishing interdisciplinary research data management (RDM). \nThe Conference on Research Data Infrastructure stands for more comprehensive knowledge through better use of research data\, for innovations and the resulting social benefits. Under this year’s theme “Connecting Communities”\, national and international stakeholders from all research fields as well as from the infrastructure sector are invited to present their contributions to an excellent RDM of the future and to exchange information about the latest developments. NFDI is organizing the conference in cooperation with the Karlsruhe Institute of Technology (KIT). NFDI contributors as well as all other RDM interested stakeholders will have the opportunity to meet at the KIT Campus South. \nExtended Abstract submissions due: April 21\, 2023
URL:https://www.crossda.hr/event/1st-conference-on-research-data-infrastructure-connecting-communities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230912T000000
DTEND;TZID=Europe/Zagreb:20230914T000000
DTSTAMP:20250313T103150Z
CREATED:20250313T103150Z
LAST-MODIFIED:20250313T103150Z
UID:2319-1694476800-1694649600@www.crossda.hr
SUMMARY:1st Conference on Research Data Infrastructure – Connecting Communities
DESCRIPTION:September 12th – 14th\, 2023Karlsruhe (Germany) \nResearch data form the basis for knowledge and innovation throughout all scientific disciplines. They play a fundamental role in the progress of our society. The key to using these data treasures is an effective infrastructure. \nThe Association German National Research Data Infrastructure (NFDI) is initiating the first Conference on Research Data Infrastructure (CoRDI) from 12th to 14th September 2023. The main topics of the conference include technical and non-technical aspects for establishing interdisciplinary research data management (RDM). \nThe Conference on Research Data Infrastructure stands for more comprehensive knowledge through better use of research data\, for innovations and the resulting social benefits. Under this year’s theme “Connecting Communities”\, national and international stakeholders from all research fields as well as from the infrastructure sector are invited to present their contributions to an excellent RDM of the future and to exchange information about the latest developments. NFDI is organizing the conference in cooperation with the Karlsruhe Institute of Technology (KIT). NFDI contributors as well as all other RDM interested stakeholders will have the opportunity to meet at the KIT Campus South. \nExtended Abstract submissions due: April 21\, 2023
URL:https://www.crossda.hr/event/1st-conference-on-research-data-infrastructure-connecting-communities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230912T000000
DTEND;TZID=Europe/Zagreb:20230914T000000
DTSTAMP:20250325T164742Z
CREATED:20250325T164742Z
LAST-MODIFIED:20250325T164742Z
UID:2652-1694476800-1694649600@www.crossda.hr
SUMMARY:1st Conference on Research Data Infrastructure – Connecting Communities
DESCRIPTION:September 12th – 14th\, 2023Karlsruhe (Germany) \nResearch data form the basis for knowledge and innovation throughout all scientific disciplines. They play a fundamental role in the progress of our society. The key to using these data treasures is an effective infrastructure. \nThe Association German National Research Data Infrastructure (NFDI) is initiating the first Conference on Research Data Infrastructure (CoRDI) from 12th to 14th September 2023. The main topics of the conference include technical and non-technical aspects for establishing interdisciplinary research data management (RDM). \nThe Conference on Research Data Infrastructure stands for more comprehensive knowledge through better use of research data\, for innovations and the resulting social benefits. Under this year’s theme “Connecting Communities”\, national and international stakeholders from all research fields as well as from the infrastructure sector are invited to present their contributions to an excellent RDM of the future and to exchange information about the latest developments. NFDI is organizing the conference in cooperation with the Karlsruhe Institute of Technology (KIT). NFDI contributors as well as all other RDM interested stakeholders will have the opportunity to meet at the KIT Campus South. \nExtended Abstract submissions due: April 21\, 2023
URL:https://www.crossda.hr/event/1st-conference-on-research-data-infrastructure-connecting-communities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230912T080000
DTEND;TZID=Europe/Zagreb:20230914T180000
DTSTAMP:20250408T123638Z
CREATED:20250408T123638Z
LAST-MODIFIED:20250408T123638Z
UID:2866-1694505600-1694714400@www.crossda.hr
SUMMARY:1st Conference on Research Data Infrastructure – Connecting Communities
DESCRIPTION:September 12th – 14th\, 2023Karlsruhe (Germany) \nResearch data form the basis for knowledge and innovation throughout all scientific disciplines. They play a fundamental role in the progress of our society. The key to using these data treasures is an effective infrastructure. \nThe Association German National Research Data Infrastructure (NFDI) is initiating the first Conference on Research Data Infrastructure (CoRDI) from 12th to 14th September 2023. The main topics of the conference include technical and non-technical aspects for establishing interdisciplinary research data management (RDM). \nThe Conference on Research Data Infrastructure stands for more comprehensive knowledge through better use of research data\, for innovations and the resulting social benefits. Under this year’s theme “Connecting Communities”\, national and international stakeholders from all research fields as well as from the infrastructure sector are invited to present their contributions to an excellent RDM of the future and to exchange information about the latest developments. NFDI is organizing the conference in cooperation with the Karlsruhe Institute of Technology (KIT). NFDI contributors as well as all other RDM interested stakeholders will have the opportunity to meet at the KIT Campus South. \nExtended Abstract submissions due: April 21\, 2023
URL:https://www.crossda.hr/event/1st-conference-on-research-data-infrastructure-connecting-communities/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230925T230000
DTEND;TZID=Europe/Zagreb:20230926T230000
DTSTAMP:20250313T104953Z
CREATED:20250313T104953Z
LAST-MODIFIED:20250313T104953Z
UID:2120-1695682800-1695769200@www.crossda.hr
SUMMARY:Modeling change: A gentle introduction to cross-lagged and latent growth curve approach
DESCRIPTION:Time & Location \n26 Sept\, 09:00 – 27 Sept\, 19:00 \nZagreb\, Zagreb\, Croatia \nAbout the Event \nWe would like to invite you to join us for the second free\, two-day statistical course offered as part of the COORDINATE project. The goal of COORDINATE is to mobilise the community of researchers and organisations to advance the coordinated development of the birth cohort and survey research on children’s wellbeing in Europe. \nThe statistical course aims to provide practical knowledge on analysing longitudinal data\, focusing on: longitudinal structural equation modelling\, cross-lagged mediation analysis\, unconditional and conditional latent growth curve analysis. Basic understanding of regression and factor analysis is required. A dataset will be provided for exercises\, but participants can also use their own data. JASP (with lavaan syntax) and IBM SPSS AMOS statistical software packages will be used in the course. \nThe course is open to academic researchers from PhD students to full professors\, policy practitioners\, and other researchers or analysts working in the EU countries and associated states. \nCourse outline  \nDay 1: Cross-lagged mediation analysis of longitudinal (panel) data \nRecapitulation of the key conceptual and methodological issues in longitudinal data analysis \nStructural equation modeling primer \nCross-lagged analysis of 2- and 3-wave data \nMediation analysis with cross-lagged models \nDay 2: Latent growth curve (LGC) modeling \nConcept\, use\, and advantages of LGC \nSteps in LGC modeling \nUnconditional LGC; curve specification\, estimation\, and interpretation \nFrom one-domain to multi-domain conditional LGC models \nExpected outcomes  \nAt the end of this brief course\, participants will: \nbe able to test measurement invariance on longitudinal data \nbe able to check for attrition bias and consider the effect of missing information \nbe able to apply cross-lagged models on longitudinal data to estimate causal relationships \nunderstand the basics of mediation analyses and testing of indirect effects \nbe able carry out mediation analysis with cross-lagged models using 2-wave (half-longitudinal mediation) and 3-wave data \nbe able to carry out a LGC model with specified and unspecified change \nbe able to carry out and correctly interpret a conditional LGC model \nunderstand in which cases cross-lagged and LGC modeling would be preferable to longitudinal (multilevel) regression modeling. \nPreliminary course schedule \nDay 1: September 26\, 2023 \n09:00 – 09:40 Introduction; Lecture 1: Key issues in longitudinal data analyses \n09:40 – 10:15 Lecture 2: Structural equation modeling primer \n10:30 – 13:00 Lecture 3: Cross-lagged models and mediation analysis \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises on cross-lagged models and mediation analysis in JASP and lavaan (with a break) \nDay 2: September 27\, 2023 \n09:00 – 10:30 Lecture 4: LGC modeling \n10:45 – 13:00 Practical exercises in LGC modeling I \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises in LGC modelingII \nAbout the lecturers \nMitja Ružojčić\, PhD is post-doctoral researcher at the Department of Psychology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nAleksandar Štulhofer\, PhD is full professor of Sociology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nEligibility \nTo be eligible for participation in this course\, applicants have to meet the following criteria: \nThe applicant’s interests are in the fields-of-interest of the COORDINATE project e.g.\, child and youth well-being. \nThe applicant must have a contract or affiliation with a recognized academic or public institution\, or a not-for-profit organisation registered in an EU member state or in an associated country. \nApplicants not working in an EU or associated country can apply and attend the course but are not eligible for financial support for travel and accommodation. \nResearchers from COORDINATE partner institutions who are not involved in the COORDINATE project are eligible to apply. However\, as the objective of the project is to widen the network of researchers using child well-being data\, only a limited number of places will be awarded to applicants from COORDINATE partner institutions. \nPhD students are eligible to apply. However\, masters or bachelors students are not eligible. \nApplication form  \nTo apply\, click here. The deadline for the application submission is 19th June 2023. \nSelection procedure \nPriority will be given to established researchers in the field\, and to applicants from low GDP countries. Gender balance and geographical diversity will also be taken into account. \nThe applications will be reviewed by a committee\, which will score each application based on the information provided in the application form. \nApplicants will be notified about the decision by 30th June 2023. \nBursaries \nA limited number of bursaries (up to €500) to support travel and accommodation will be available to selected participants. Additionally\, two lunches and one dinner will be provided for all attendees. \nContact  \nIf you have any questions\, please contact data.archive@ffzg.hr \nThe course is organised by the Croatian Social Science Data Archive\, University of Zagreb Faculty of Humanities and Social Sciences\, Croatia\, within the COhortcOmmunity Research and Development Infrastructure Network for Access Throughout Europe project.
URL:https://www.crossda.hr/event/modeling-change-a-gentle-introduction-to-cross-lagged-and-latent-growth-curve-approach/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230926T000000
DTEND;TZID=Europe/Zagreb:20230927T000000
DTSTAMP:20250313T103137Z
CREATED:20250313T103137Z
LAST-MODIFIED:20250313T103137Z
UID:2310-1695686400-1695772800@www.crossda.hr
SUMMARY:Modeling change: A gentle introduction to cross-lagged and latent growth curve approach
DESCRIPTION:Time & Location \n26 Sept\, 09:00 – 27 Sept\, 19:00 \nZagreb\, Zagreb\, Croatia \nAbout the Event \nWe would like to invite you to join us for the second free\, two-day statistical course offered as part of the COORDINATE project. The goal of COORDINATE is to mobilise the community of researchers and organisations to advance the coordinated development of the birth cohort and survey research on children’s wellbeing in Europe. \nThe statistical course aims to provide practical knowledge on analysing longitudinal data\, focusing on: longitudinal structural equation modelling\, cross-lagged mediation analysis\, unconditional and conditional latent growth curve analysis. Basic understanding of regression and factor analysis is required. A dataset will be provided for exercises\, but participants can also use their own data. JASP (with lavaan syntax) and IBM SPSS AMOS statistical software packages will be used in the course. \nThe course is open to academic researchers from PhD students to full professors\, policy practitioners\, and other researchers or analysts working in the EU countries and associated states. \nCourse outline  \nDay 1: Cross-lagged mediation analysis of longitudinal (panel) data \nRecapitulation of the key conceptual and methodological issues in longitudinal data analysis \nStructural equation modeling primer \nCross-lagged analysis of 2- and 3-wave data \nMediation analysis with cross-lagged models \nDay 2: Latent growth curve (LGC) modeling \nConcept\, use\, and advantages of LGC \nSteps in LGC modeling \nUnconditional LGC; curve specification\, estimation\, and interpretation \nFrom one-domain to multi-domain conditional LGC models \nExpected outcomes  \nAt the end of this brief course\, participants will: \nbe able to test measurement invariance on longitudinal data \nbe able to check for attrition bias and consider the effect of missing information \nbe able to apply cross-lagged models on longitudinal data to estimate causal relationships \nunderstand the basics of mediation analyses and testing of indirect effects \nbe able carry out mediation analysis with cross-lagged models using 2-wave (half-longitudinal mediation) and 3-wave data \nbe able to carry out a LGC model with specified and unspecified change \nbe able to carry out and correctly interpret a conditional LGC model \nunderstand in which cases cross-lagged and LGC modeling would be preferable to longitudinal (multilevel) regression modeling. \nPreliminary course schedule \nDay 1: September 26\, 2023 \n09:00 – 09:40 Introduction; Lecture 1: Key issues in longitudinal data analyses \n09:40 – 10:15 Lecture 2: Structural equation modeling primer \n10:30 – 13:00 Lecture 3: Cross-lagged models and mediation analysis \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises on cross-lagged models and mediation analysis in JASP and lavaan (with a break) \nDay 2: September 27\, 2023 \n09:00 – 10:30 Lecture 4: LGC modeling \n10:45 – 13:00 Practical exercises in LGC modeling I \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises in LGC modelingII \nAbout the lecturers \nMitja Ružojčić\, PhD is post-doctoral researcher at the Department of Psychology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nAleksandar Štulhofer\, PhD is full professor of Sociology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nEligibility \nTo be eligible for participation in this course\, applicants have to meet the following criteria: \nThe applicant’s interests are in the fields-of-interest of the COORDINATE project e.g.\, child and youth well-being. \nThe applicant must have a contract or affiliation with a recognized academic or public institution\, or a not-for-profit organisation registered in an EU member state or in an associated country. \nApplicants not working in an EU or associated country can apply and attend the course but are not eligible for financial support for travel and accommodation. \nResearchers from COORDINATE partner institutions who are not involved in the COORDINATE project are eligible to apply. However\, as the objective of the project is to widen the network of researchers using child well-being data\, only a limited number of places will be awarded to applicants from COORDINATE partner institutions. \nPhD students are eligible to apply. However\, masters or bachelors students are not eligible. \nApplication form  \nTo apply\, click here. The deadline for the application submission is 19th June 2023. \nSelection procedure \nPriority will be given to established researchers in the field\, and to applicants from low GDP countries. Gender balance and geographical diversity will also be taken into account. \nThe applications will be reviewed by a committee\, which will score each application based on the information provided in the application form. \nApplicants will be notified about the decision by 30th June 2023. \nBursaries \nA limited number of bursaries (up to €500) to support travel and accommodation will be available to selected participants. Additionally\, two lunches and one dinner will be provided for all attendees. \nContact  \nIf you have any questions\, please contact data.archive@ffzg.hr \nThe course is organised by the Croatian Social Science Data Archive\, University of Zagreb Faculty of Humanities and Social Sciences\, Croatia\, within the COhortcOmmunity Research and Development Infrastructure Network for Access Throughout Europe project.
URL:https://www.crossda.hr/event/modeling-change-a-gentle-introduction-to-cross-lagged-and-latent-growth-curve-approach/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230926T000000
DTEND;TZID=Europe/Zagreb:20230927T000000
DTSTAMP:20250325T164722Z
CREATED:20250325T164722Z
LAST-MODIFIED:20250325T164722Z
UID:2643-1695686400-1695772800@www.crossda.hr
SUMMARY:Modeling change: A gentle introduction to cross-lagged and latent growth curve approach
DESCRIPTION:Time & Location \n26 Sept\, 09:00 – 27 Sept\, 19:00 \nZagreb\, Zagreb\, Croatia \nAbout the Event \nWe would like to invite you to join us for the second free\, two-day statistical course offered as part of the COORDINATE project. The goal of COORDINATE is to mobilise the community of researchers and organisations to advance the coordinated development of the birth cohort and survey research on children’s wellbeing in Europe. \nThe statistical course aims to provide practical knowledge on analysing longitudinal data\, focusing on: longitudinal structural equation modelling\, cross-lagged mediation analysis\, unconditional and conditional latent growth curve analysis. Basic understanding of regression and factor analysis is required. A dataset will be provided for exercises\, but participants can also use their own data. JASP (with lavaan syntax) and IBM SPSS AMOS statistical software packages will be used in the course. \nThe course is open to academic researchers from PhD students to full professors\, policy practitioners\, and other researchers or analysts working in the EU countries and associated states. \nCourse outline  \nDay 1: Cross-lagged mediation analysis of longitudinal (panel) data \nRecapitulation of the key conceptual and methodological issues in longitudinal data analysis \nStructural equation modeling primer \nCross-lagged analysis of 2- and 3-wave data \nMediation analysis with cross-lagged models \nDay 2: Latent growth curve (LGC) modeling \nConcept\, use\, and advantages of LGC \nSteps in LGC modeling \nUnconditional LGC; curve specification\, estimation\, and interpretation \nFrom one-domain to multi-domain conditional LGC models \nExpected outcomes  \nAt the end of this brief course\, participants will: \nbe able to test measurement invariance on longitudinal data \nbe able to check for attrition bias and consider the effect of missing information \nbe able to apply cross-lagged models on longitudinal data to estimate causal relationships \nunderstand the basics of mediation analyses and testing of indirect effects \nbe able carry out mediation analysis with cross-lagged models using 2-wave (half-longitudinal mediation) and 3-wave data \nbe able to carry out a LGC model with specified and unspecified change \nbe able to carry out and correctly interpret a conditional LGC model \nunderstand in which cases cross-lagged and LGC modeling would be preferable to longitudinal (multilevel) regression modeling. \nPreliminary course schedule \nDay 1: September 26\, 2023 \n09:00 – 09:40 Introduction; Lecture 1: Key issues in longitudinal data analyses \n09:40 – 10:15 Lecture 2: Structural equation modeling primer \n10:30 – 13:00 Lecture 3: Cross-lagged models and mediation analysis \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises on cross-lagged models and mediation analysis in JASP and lavaan (with a break) \nDay 2: September 27\, 2023 \n09:00 – 10:30 Lecture 4: LGC modeling \n10:45 – 13:00 Practical exercises in LGC modeling I \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises in LGC modelingII \nAbout the lecturers \nMitja Ružojčić\, PhD is post-doctoral researcher at the Department of Psychology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nAleksandar Štulhofer\, PhD is full professor of Sociology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nEligibility \nTo be eligible for participation in this course\, applicants have to meet the following criteria: \nThe applicant’s interests are in the fields-of-interest of the COORDINATE project e.g.\, child and youth well-being. \nThe applicant must have a contract or affiliation with a recognized academic or public institution\, or a not-for-profit organisation registered in an EU member state or in an associated country. \nApplicants not working in an EU or associated country can apply and attend the course but are not eligible for financial support for travel and accommodation. \nResearchers from COORDINATE partner institutions who are not involved in the COORDINATE project are eligible to apply. However\, as the objective of the project is to widen the network of researchers using child well-being data\, only a limited number of places will be awarded to applicants from COORDINATE partner institutions. \nPhD students are eligible to apply. However\, masters or bachelors students are not eligible. \nApplication form  \nTo apply\, click here. The deadline for the application submission is 19th June 2023. \nSelection procedure \nPriority will be given to established researchers in the field\, and to applicants from low GDP countries. Gender balance and geographical diversity will also be taken into account. \nThe applications will be reviewed by a committee\, which will score each application based on the information provided in the application form. \nApplicants will be notified about the decision by 30th June 2023. \nBursaries \nA limited number of bursaries (up to €500) to support travel and accommodation will be available to selected participants. Additionally\, two lunches and one dinner will be provided for all attendees. \nContact  \nIf you have any questions\, please contact data.archive@ffzg.hr \nThe course is organised by the Croatian Social Science Data Archive\, University of Zagreb Faculty of Humanities and Social Sciences\, Croatia\, within the COhortcOmmunity Research and Development Infrastructure Network for Access Throughout Europe project.
URL:https://www.crossda.hr/event/modeling-change-a-gentle-introduction-to-cross-lagged-and-latent-growth-curve-approach/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20230926T080000
DTEND;TZID=Europe/Zagreb:20230927T180000
DTSTAMP:20250408T123607Z
CREATED:20250408T123607Z
LAST-MODIFIED:20250408T123607Z
UID:2857-1695715200-1695837600@www.crossda.hr
SUMMARY:Modeling change: A gentle introduction to cross-lagged and latent growth curve approach
DESCRIPTION:Time & Location \n26 Sept\, 09:00 – 27 Sept\, 19:00 \nZagreb\, Zagreb\, Croatia \nAbout the Event \nWe would like to invite you to join us for the second free\, two-day statistical course offered as part of the COORDINATE project. The goal of COORDINATE is to mobilise the community of researchers and organisations to advance the coordinated development of the birth cohort and survey research on children’s wellbeing in Europe. \nThe statistical course aims to provide practical knowledge on analysing longitudinal data\, focusing on: longitudinal structural equation modelling\, cross-lagged mediation analysis\, unconditional and conditional latent growth curve analysis. Basic understanding of regression and factor analysis is required. A dataset will be provided for exercises\, but participants can also use their own data. JASP (with lavaan syntax) and IBM SPSS AMOS statistical software packages will be used in the course. \nThe course is open to academic researchers from PhD students to full professors\, policy practitioners\, and other researchers or analysts working in the EU countries and associated states. \nCourse outline  \nDay 1: Cross-lagged mediation analysis of longitudinal (panel) data \nRecapitulation of the key conceptual and methodological issues in longitudinal data analysis \nStructural equation modeling primer \nCross-lagged analysis of 2- and 3-wave data \nMediation analysis with cross-lagged models \nDay 2: Latent growth curve (LGC) modeling \nConcept\, use\, and advantages of LGC \nSteps in LGC modeling \nUnconditional LGC; curve specification\, estimation\, and interpretation \nFrom one-domain to multi-domain conditional LGC models \nExpected outcomes  \nAt the end of this brief course\, participants will: \nbe able to test measurement invariance on longitudinal data \nbe able to check for attrition bias and consider the effect of missing information \nbe able to apply cross-lagged models on longitudinal data to estimate causal relationships \nunderstand the basics of mediation analyses and testing of indirect effects \nbe able carry out mediation analysis with cross-lagged models using 2-wave (half-longitudinal mediation) and 3-wave data \nbe able to carry out a LGC model with specified and unspecified change \nbe able to carry out and correctly interpret a conditional LGC model \nunderstand in which cases cross-lagged and LGC modeling would be preferable to longitudinal (multilevel) regression modeling. \nPreliminary course schedule \nDay 1: September 26\, 2023 \n09:00 – 09:40 Introduction; Lecture 1: Key issues in longitudinal data analyses \n09:40 – 10:15 Lecture 2: Structural equation modeling primer \n10:30 – 13:00 Lecture 3: Cross-lagged models and mediation analysis \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises on cross-lagged models and mediation analysis in JASP and lavaan (with a break) \nDay 2: September 27\, 2023 \n09:00 – 10:30 Lecture 4: LGC modeling \n10:45 – 13:00 Practical exercises in LGC modeling I \n13:00 – 14:00 Lunch \n14:00 – 17:00 Practical exercises in LGC modelingII \nAbout the lecturers \nMitja Ružojčić\, PhD is post-doctoral researcher at the Department of Psychology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nAleksandar Štulhofer\, PhD is full professor of Sociology at the Faculty of Humanities and Social Sciences of the University of Zagreb. \nEligibility \nTo be eligible for participation in this course\, applicants have to meet the following criteria: \nThe applicant’s interests are in the fields-of-interest of the COORDINATE project e.g.\, child and youth well-being. \nThe applicant must have a contract or affiliation with a recognized academic or public institution\, or a not-for-profit organisation registered in an EU member state or in an associated country. \nApplicants not working in an EU or associated country can apply and attend the course but are not eligible for financial support for travel and accommodation. \nResearchers from COORDINATE partner institutions who are not involved in the COORDINATE project are eligible to apply. However\, as the objective of the project is to widen the network of researchers using child well-being data\, only a limited number of places will be awarded to applicants from COORDINATE partner institutions. \nPhD students are eligible to apply. However\, masters or bachelors students are not eligible. \nApplication form  \nTo apply\, click here. The deadline for the application submission is 19th June 2023. \nSelection procedure \nPriority will be given to established researchers in the field\, and to applicants from low GDP countries. Gender balance and geographical diversity will also be taken into account. \nThe applications will be reviewed by a committee\, which will score each application based on the information provided in the application form. \nApplicants will be notified about the decision by 30th June 2023. \nBursaries \nA limited number of bursaries (up to €500) to support travel and accommodation will be available to selected participants. Additionally\, two lunches and one dinner will be provided for all attendees. \nContact  \nIf you have any questions\, please contact data.archive@ffzg.hr \nThe course is organised by the Croatian Social Science Data Archive\, University of Zagreb Faculty of Humanities and Social Sciences\, Croatia\, within the COhortcOmmunity Research and Development Infrastructure Network for Access Throughout Europe project.
URL:https://www.crossda.hr/event/modeling-change-a-gentle-introduction-to-cross-lagged-and-latent-growth-curve-approach/
CATEGORIES:CROSSDA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231017T130000
DTEND;TZID=Europe/Zagreb:20231017T140000
DTSTAMP:20250313T104943Z
CREATED:20250313T104943Z
LAST-MODIFIED:20250313T104943Z
UID:2113-1697547600-1697551200@www.crossda.hr
SUMMARY:Use cases\, challenges and issues in data management
DESCRIPTION:Summary \nWithin BY-COVID project CESSDA is co-organising three webinars on the topic of Research Data Management Training – Preparing to manage your data across disciplines. BY-COVID Webinars will be held online on 17/Oct\, 22/Nov and 12/Dec\, 14:00-15:00 CET \nDescription \nResearch data management (RDM) ensures that your data is complete\, documented\, and accessible to you and to future researchers. It encourages the discovery and reuse of your data to further discoveries in your field of research. Good RDM practices are at the heart of FAIR sciences\, and they are increasingly important as research in many domains becomes data-intensive.  \nBY-COVID aims to make COVID-19 and other infectious diseases data open and accessible to scientists and anyone who can use it\, such as medical staff in hospitals or government officials. It is a multidisciplinary project mobilising data from various sources and disciplines (socio and economic sciences\, life sciences\, public health\, humanities).  \nIn these RDM Training webinars\, you will learn from BY-COVID experts about their RDM practices\, tools\, use cases and challenges when managing data.  \nWebinars: \n17 October 2023  \nData management in social sciences & humanities with DMEG  \n22 November 2023  \nData management in life sciences with RDMkit  \n12 December 2023  \nChallenges and issues in data management \nSign up \nThese webinars are free and open to all. Leave your contact information in this form if you are interested in receiving the calendar invite and Zoom link for these events. 
URL:https://www.crossda.hr/event/use-cases-challenges-and-issues-in-data-management/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231017T140000
DTEND;TZID=Europe/Zagreb:20231017T150000
DTSTAMP:20250313T103134Z
CREATED:20250313T103134Z
LAST-MODIFIED:20250313T103134Z
UID:2303-1697551200-1697554800@www.crossda.hr
SUMMARY:Use cases\, challenges and issues in data management
DESCRIPTION:Summary \nWithin BY-COVID project CESSDA is co-organising three webinars on the topic of Research Data Management Training – Preparing to manage your data across disciplines. BY-COVID Webinars will be held online on 17/Oct\, 22/Nov and 12/Dec\, 14:00-15:00 CET \nDescription \nResearch data management (RDM) ensures that your data is complete\, documented\, and accessible to you and to future researchers. It encourages the discovery and reuse of your data to further discoveries in your field of research. Good RDM practices are at the heart of FAIR sciences\, and they are increasingly important as research in many domains becomes data-intensive.  \nBY-COVID aims to make COVID-19 and other infectious diseases data open and accessible to scientists and anyone who can use it\, such as medical staff in hospitals or government officials. It is a multidisciplinary project mobilising data from various sources and disciplines (socio and economic sciences\, life sciences\, public health\, humanities).  \nIn these RDM Training webinars\, you will learn from BY-COVID experts about their RDM practices\, tools\, use cases and challenges when managing data.  \nWebinars: \n17 October 2023  \nData management in social sciences & humanities with DMEG  \n22 November 2023  \nData management in life sciences with RDMkit  \n12 December 2023  \nChallenges and issues in data management \nSign up \nThese webinars are free and open to all. Leave your contact information in this form if you are interested in receiving the calendar invite and Zoom link for these events. 
URL:https://www.crossda.hr/event/use-cases-challenges-and-issues-in-data-management/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231017T140000
DTEND;TZID=Europe/Zagreb:20231017T150000
DTSTAMP:20250325T164712Z
CREATED:20250325T164712Z
LAST-MODIFIED:20250325T164712Z
UID:2636-1697551200-1697554800@www.crossda.hr
SUMMARY:Use cases\, challenges and issues in data management
DESCRIPTION:Summary \nWithin BY-COVID project CESSDA is co-organising three webinars on the topic of Research Data Management Training – Preparing to manage your data across disciplines. BY-COVID Webinars will be held online on 17/Oct\, 22/Nov and 12/Dec\, 14:00-15:00 CET \nDescription \nResearch data management (RDM) ensures that your data is complete\, documented\, and accessible to you and to future researchers. It encourages the discovery and reuse of your data to further discoveries in your field of research. Good RDM practices are at the heart of FAIR sciences\, and they are increasingly important as research in many domains becomes data-intensive.  \nBY-COVID aims to make COVID-19 and other infectious diseases data open and accessible to scientists and anyone who can use it\, such as medical staff in hospitals or government officials. It is a multidisciplinary project mobilising data from various sources and disciplines (socio and economic sciences\, life sciences\, public health\, humanities).  \nIn these RDM Training webinars\, you will learn from BY-COVID experts about their RDM practices\, tools\, use cases and challenges when managing data.  \nWebinars: \n17 October 2023  \nData management in social sciences & humanities with DMEG  \n22 November 2023  \nData management in life sciences with RDMkit  \n12 December 2023  \nChallenges and issues in data management \nSign up \nThese webinars are free and open to all. Leave your contact information in this form if you are interested in receiving the calendar invite and Zoom link for these events. 
URL:https://www.crossda.hr/event/use-cases-challenges-and-issues-in-data-management/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231017T140000
DTEND;TZID=Europe/Zagreb:20231017T150000
DTSTAMP:20250408T123603Z
CREATED:20250408T123603Z
LAST-MODIFIED:20250408T123603Z
UID:2850-1697551200-1697554800@www.crossda.hr
SUMMARY:Use cases\, challenges and issues in data management
DESCRIPTION:Summary \nWithin BY-COVID project CESSDA is co-organising three webinars on the topic of Research Data Management Training – Preparing to manage your data across disciplines. BY-COVID Webinars will be held online on 17/Oct\, 22/Nov and 12/Dec\, 14:00-15:00 CET \nDescription \nResearch data management (RDM) ensures that your data is complete\, documented\, and accessible to you and to future researchers. It encourages the discovery and reuse of your data to further discoveries in your field of research. Good RDM practices are at the heart of FAIR sciences\, and they are increasingly important as research in many domains becomes data-intensive.  \nBY-COVID aims to make COVID-19 and other infectious diseases data open and accessible to scientists and anyone who can use it\, such as medical staff in hospitals or government officials. It is a multidisciplinary project mobilising data from various sources and disciplines (socio and economic sciences\, life sciences\, public health\, humanities).  \nIn these RDM Training webinars\, you will learn from BY-COVID experts about their RDM practices\, tools\, use cases and challenges when managing data.  \nWebinars: \n17 October 2023  \nData management in social sciences & humanities with DMEG  \n22 November 2023  \nData management in life sciences with RDMkit  \n12 December 2023  \nChallenges and issues in data management \nSign up \nThese webinars are free and open to all. Leave your contact information in this form if you are interested in receiving the calendar invite and Zoom link for these events. 
URL:https://www.crossda.hr/event/use-cases-challenges-and-issues-in-data-management/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231107T180000
DTEND;TZID=Europe/Zagreb:20231107T180000
DTSTAMP:20250313T104942Z
CREATED:20250313T104942Z
LAST-MODIFIED:20250313T104942Z
UID:2112-1699380000-1699380000@www.crossda.hr
SUMMARY:Learn From Our Users: Registration and Registry Basics on the OSF
DESCRIPTION:Have you heard about registrations\, preregistration\, or OSF Registries? Are you confused? You’re not alone. We’re here to discuss the basics of how these open scholarship tools and software products work\, with a focus on existing use-cases and users. Join us if you support researchers as a program officer\, a funder\, or a research coordinator. Join us if you’re a researcher looking to understand the fundamentals of how the OSF platform supports these tools and workflows.  
URL:https://www.crossda.hr/event/learn-from-our-users-registration-and-registry-basics-on-the-osf/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231107T190000
DTEND;TZID=Europe/Zagreb:20231107T190000
DTSTAMP:20250313T103134Z
CREATED:20250313T103134Z
LAST-MODIFIED:20250313T103134Z
UID:2302-1699383600-1699383600@www.crossda.hr
SUMMARY:Learn From Our Users: Registration and Registry Basics on the OSF
DESCRIPTION:Have you heard about registrations\, preregistration\, or OSF Registries? Are you confused? You’re not alone. We’re here to discuss the basics of how these open scholarship tools and software products work\, with a focus on existing use-cases and users. Join us if you support researchers as a program officer\, a funder\, or a research coordinator. Join us if you’re a researcher looking to understand the fundamentals of how the OSF platform supports these tools and workflows.  
URL:https://www.crossda.hr/event/learn-from-our-users-registration-and-registry-basics-on-the-osf/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231107T190000
DTEND;TZID=Europe/Zagreb:20231107T190000
DTSTAMP:20250408T123603Z
CREATED:20250325T164707Z
LAST-MODIFIED:20250408T123603Z
UID:2635-1699383600-1699383600@www.crossda.hr
SUMMARY:Learn From Our Users: Registration and Registry Basics on the OSF
DESCRIPTION:Have you heard about registrations\, preregistration\, or OSF Registries? Are you confused? You’re not alone. We’re here to discuss the basics of how these open scholarship tools and software products work\, with a focus on existing use-cases and users. Join us if you support researchers as a program officer\, a funder\, or a research coordinator. Join us if you’re a researcher looking to understand the fundamentals of how the OSF platform supports these tools and workflows.  
URL:https://www.crossda.hr/event/learn-from-our-users-registration-and-registry-basics-on-the-osf/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231108T160000
DTEND;TZID=Europe/Zagreb:20231108T160000
DTSTAMP:20250313T104942Z
CREATED:20250313T104942Z
LAST-MODIFIED:20250313T104942Z
UID:2111-1699459200-1699459200@www.crossda.hr
SUMMARY:Helping Others Use Your Data: Lessons From the Field of Neuroscience
DESCRIPTION:So you’ve created an amazing dataset that you would love for other researchers to have access to. What’s next? Join experts from NeuroImaging Data Model (NIDM) and the Max Planck Institute for Empirical Aesthetics to learn about metadata: what it is\, why it is important\, and how the OSF and other tools can make it easy for you to include it with your project materials so others can find the data you’ve worked so hard to curate.
URL:https://www.crossda.hr/event/helping-others-use-your-data-lessons-from-the-field-of-neuroscience/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231108T170000
DTEND;TZID=Europe/Zagreb:20231108T170000
DTSTAMP:20250313T103134Z
CREATED:20250313T103134Z
LAST-MODIFIED:20250313T103134Z
UID:2301-1699462800-1699462800@www.crossda.hr
SUMMARY:Helping Others Use Your Data: Lessons From the Field of Neuroscience
DESCRIPTION:So you’ve created an amazing dataset that you would love for other researchers to have access to. What’s next? Join experts from NeuroImaging Data Model (NIDM) and the Max Planck Institute for Empirical Aesthetics to learn about metadata: what it is\, why it is important\, and how the OSF and other tools can make it easy for you to include it with your project materials so others can find the data you’ve worked so hard to curate.
URL:https://www.crossda.hr/event/helping-others-use-your-data-lessons-from-the-field-of-neuroscience/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Zagreb:20231108T170000
DTEND;TZID=Europe/Zagreb:20231108T180000
DTSTAMP:20250408T123603Z
CREATED:20250325T164707Z
LAST-MODIFIED:20250408T123603Z
UID:2634-1699462800-1699466400@www.crossda.hr
SUMMARY:Helping Others Use Your Data: Lessons From the Field of Neuroscience
DESCRIPTION:So you’ve created an amazing dataset that you would love for other researchers to have access to. What’s next? Join experts from NeuroImaging Data Model (NIDM) and the Max Planck Institute for Empirical Aesthetics to learn about metadata: what it is\, why it is important\, and how the OSF and other tools can make it easy for you to include it with your project materials so others can find the data you’ve worked so hard to curate.
URL:https://www.crossda.hr/event/helping-others-use-your-data-lessons-from-the-field-of-neuroscience/
END:VEVENT
END:VCALENDAR