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14 participants
2981 discussions

wikidata and neo4j
by Enriqué Tabone 24 Aug '22

24 Aug '22

Hi, I am a postgraduate research student at the University of Salford in the UK, currently exploring data visualisation through wikidata. Right now I'm working with a tool called neo4j but need some help from someone who is more familiar with it than I am. I've already found some articles to guide me and even a YouTube video. Any help or pointers would be much appreciated. Many thanks Enrique

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JOB OPENING: One Post-Doctoral Researcher, Research Group 'Gender Inequalities and Fertility'
by MPIDR - Career 18 Aug '22

18 Aug '22

+++ apologies for cross-postings +++ The Max Planck Institute for Demographic Research<https://www.demogr.mpg.de/en/> (MPIDR) is recruiting a postdoctoral researcher to join the research group "Gender Inequalities and Fertility<https://www.demogr.mpg.de/en/research_6120/gender_inequalities_and_fertilit…>", led by Dr. Nicole Hiekel. The research group investigates the determinants and consequences of gender inequalities and their role in explaining fertility behavior and outcomes of family formation and family enlargement. A particular focus is drawn on contexts of diverse and complex partnership forms and dynamics. We welcome applications from researchers with a PhD in demography, sociology or related disciplines. The successful candidate will develop their own research agenda and contribute to the successful realization of collaborative projects within the research group. We are seeking creative, self-driven, and collaborative researchers with remarkable social and communication skills. Strong quantitative analysis skills and knowledge of the statistical software packages R or Stata are required. Experience with survey data analysis on the individual and household level, as well as the analysis of administrative data using longitudinal data analysis as well as cohort analysis is an advantage. We provide a stimulating research-oriented community, an excellent infrastructure, and opportunities to work with exciting datasets. The successful applicant will be offered a contract for 3 years with the possibility for an extension of 2 more years. Remuneration commensurate to experience (starting from approx. 57,000 EUR gross per year for researchers who have just completed their PhD, up to approx. 71,000 EUR gross per year for more senior scientists), based on the salary structure of the German public sector (Öffentlicher Dienst, TVöD Bund). It is expected that successful applicants will be in residence at the MPIDR. Support for relocation costs is available. Please apply online via this portal<https://survey.demogr.mpg.de/index.php/438595?lang=en> and include in a single PDF file: 1. Curriculum Vitae 2. Letter of interest (max. 1 page) Briefly state why you are interested in joining the MPIDR, how the MPIDR could foster your professional development and career trajectory, and how your interests fit those of the Research Group on Gender Inequalities and Fertility. 3. Research Statement (max. 2 pages) Briefly describe your research accomplishments, as well as ongoing and future research plans. Describe your technical skills, areas of expertise, as well as the type of advanced training that you would like to receive as a research scientist. 4. A writing example (e.g., one of your publications) 5. Contact information for up to 2 academic referees In order to receive full consideration, please apply by September 19. Interviews are planned for the week from October 24 to 28 and will be held virtually. The exact starting date is flexible but latest in the first quarter of 2023. Applicants should have completed their doctoral degree; however, PhD students who expect to obtain their degree in 2022 or early 2023 may apply. For inquiries about the position, please contact Nicole Hiekel at hiekel(a)demogr.mpg.de<mailto:hiekel@demogr.mpg.de?subject=Postdoctoral%20Researcher%20-%20Inquiry>. The MPIDR is one of the leading demographic research centers in the world. It is part of the Max Planck Society<https://www.mpg.de/en>, a network of 86 institutes that form Germany's premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects of an academic setting and a research laboratory. The MPIDR is an equal opportunities employer. Our work atmosphere includes respectful treatment of each other, with gender, nationality, religion, disability, age, cultural origin, and sexual identity playing no role. We aim to have an institutional culture that enables everyone to develop their individual skills and competencies. The Max Planck Society offers a broad range of measures to support the reconciliation of work and family. These are complemented by the MPIDR's own initiatives. For more information, see: demogr.mpg.de/go/work-family.<https://www.demogr.mpg.de/en/career_6122/equal_opportunities_family_support…> In addition, there are a range of central initiatives and measures primarily geared towards helping young female researchers and mothers to advance their career. See the link below for some examples: demogr.mpg.de/go/career-development<https://www.demogr.mpg.de/en/career_6122/equal_opportunities_family_support…>. We value diversity and are keen to employ individuals from minorities and under-represented groups. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. -- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

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JOB VACANCY: Two Post-Doctoral Researchers at the Research Group on Kinship Inequalities
by MPIDR - Career 17 Aug '22

17 Aug '22

+++ apologies for cross-postings +++ The Max Planck Institute for Demographic Research (MPIDR) is recruiting up to two highly qualified postdoctoral researchers to serve as Research Scientists within the Research Group on Kinship Inequalities<http://www.demogr.mpg.de/en/research_6120/kinship_inequalities_10703/>. The positions are offered for three years. This group, led by Diego Alburez-Gutierrez<http://www.demogr.mpg.de/en/about_us_6113/staff_directory_1899/diego_albure…>, studies how differences in kinship among persons and groups determine individual outcomes and shape social structures. It aims to bring together experts from areas like Demography, Sociology, Anthropology, Mathematics, Statistics, Computer Science, Biology, etc. to advance the subfield of kinship demography and address pressing scientific and societal questions. The MPIDR is one of the leading demographic research centers in the world, studying issues of theoretical and policy relevance. These include, but are not limited to, fertility, mortality, migration, aging, health, and the redistribution of work and transfers over the life course. The MPIDR is part of the Max Planck Society<https://www.mpg.de/en>, a network of 86 institutes that form Germany's premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences, and the humanities. The successful candidate(s) must have a PhD (or receive it soon) and are expected to have a profile along one of the following lines: A social scientist with expertise in at least one of the following areas: * kinship structure and kin availability; * family composition and demographic change; * generational overlap and resource exchange; * kin loss and bereavement; * measuring and modelling kinship. A social scientist with an interest in developing social theory, in particular related to family demography or family sociology. A methodologist or computational scientist interested in advancing methods and data to study kinship dynamics. Ability and willingness to work in interdisciplinary teams to conduct cutting-edge research that advances our understanding of population processes, is key. Applications must be submitted online via this portal<https://survey.demogr.mpg.de/index.php/687331?lang=en>, including the following documents: 1. Curriculum Vitae 2. Letter of interest (Max 1 page) Briefly state why you are interested in joining the MPIDR, how the MPIDR could foster your professional development and career trajectory, and how your interests fit those of the Research Group on Kinship Inequalities. 3. Research Statement (Max 2 pages) Briefly describe your research accomplishments, as well as ongoing and future research plans. Note that we welcome projects studying both lower- and higher-income settings. Describe your technical skills, areas of expertise, as well as the type of advanced training that you would like to receive as a research scientist. 4. Names and contact information for 3 academic referees 5. Two writing samples or publications In order to receive full consideration, applications should be submitted by Monday, September 19. Interviews with be held on the second week of October. The starting date is flexible, but no later than Spring 2023. The successful applicants will be offered a 3-year contract with remuneration commensurate to experience (starting from approx. 57,241 EUR gross per year for researchers who have just completed their PhD, up to approx. 66,217 EUR gross per year for more senior scientists), based on the salary structure of the German public sector (Öffentlicher Dienst, TVöD Bund). They are expected to be in residence at the MPIDR. The MPIDR is an equal opportunities employer. Our work atmosphere includes respectful treatment of each other, with gender, nationality, religion, disability, age, cultural origin, and sexual identity playing no role. We aim to have an institutional culture that enables everyone to develop their individual skills and competencies. The Max Planck Society and the MPIDR offer a broad range of measures to support the reconciliation of work and family. The Society has been awarded the certificate "Work and Family" which is granted to institutions committed to establishing a family-friendly corporate culture by binding target agreements. The MPIDR collaborates with a network of local day-care centers that provides childcare places for the children of Institute staff. The Max Planck Society has contracts with a private family service company that offers services such as arranging child care on short notice in various cities in Germany for parents who attend conferences, care services for children of school age up to 14 years, and support for those caring for family members and relatives. The MPIDR practices flexible working-time models, which include at least one home office day per week, and scheduling meetings only within core working hours. To help accompanying spouses and partners find appropriate work at their new location, the MPIDR works in close cooperation with Dual-Career Partners in regional networks. We value diversity and are keen to employ individuals from minorities and under-represented groups, including individuals with disabilities. The Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. For inquiries about the positions, please contact Diego Alburez-Gutierrez at alburezgutierrez(a)demogr.mpg.de<mailto:alburezgutierrez@demogr.mpg.de?subject=Postdoctoral%20researchers%20-%20inquiry>. -- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

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[CfP] DBpedia Day @ SEMANTiCS on Sep 13
by DBpedia 11 Aug '22

11 Aug '22

Dear all, We are happy to announce that we will organize a DBpedia Meeting in Vienna, Austria. The DBpedia Day is part of the SEMANTiCS, Sep 13-15, and will be held on the first day of the conference on 13th of September 2022. This year's topics: Linking and Consumption of Linked Data Since 2007, DBpedia has been the hub of the Linked Open Data Cloud, the largest constantly updating knowledge graph on Earth using Linked Data principles. By following the 62 million links published alongside the 6.5 million identifiers of the DBpedia Snapshot (https://www.dbpedia.org/blog/dbpedia-snapshot-2022-03-release/ <https://www.dbpedia.org/blog/dbpedia-snapshot-2022-03-release/>), our users could discover and consume more data from the web. Now in 2022, 15 years after the first release, we developed a way to scale up our identifier base into the billions to provide the glue for better linking and consumption of linked data. The main topics of the DBpedia Day will be twofold: 1. We would like to ask our industrial and academic members as well as the wider community to present the latest technology to discover, query, link, curate and consume Linked Data and Knowledge Graphs. If you would like to present at the DBpedia Day, please send an email to dbpedia(a)infai.org. 2. We will introduce the Linkmaster 3000 https://tinyurl.com/linkmaster-3000-lswt <https://tinyurl.com/linkmaster-3000-lswt>(the new Open Online Link Curation Platform), the Global LD API, the Databus and the Global LD Browser to gather feedback. # Further Highlight - Keynote presentation by Olaf Hartig (Linköping University)https://2022-eu.semantics.cc/users/olaf-hartig <https://2022-eu.semantics.cc/users/olaf-hartig> # Quick Facts - Web URL: https://www.dbpedia.org/events/dbpedia-day-semantics-2022/ <https://www.dbpedia.org/events/dbpedia-day-semantics-2022/> - When: September 13, 2022 - Where: ARCOTEL Wimberger Wien, Neubaugürtel 34-36, Vienna, Austriaand online # Schedule - Please check the schedule for the upcoming DBpedia Day on our event page. <https://www.dbpedia.org/events/dbpedia-day-semantics-2021/>https://www.dbpedia.org/events/dbpedia-day-semantics-2022/ <https://www.dbpedia.org/events/dbpedia-day-semantics-2022/> # Tickets - Please register on the SEMANTiCS website to be part of the meeting. You need to buy a ticket to join the DBpedia Day. https://2022-eu.semantics.cc/prices <https://2022-eu.semantics.cc/prices> # Organisation - Julia Holze, InfAI, DBpedia Association - Milan Dojchinovski, InfAI, DBpedia Association, CTU - Sebastian Hellmann, InfAI, DBpedia Association We are looking forward to meeting you! Kind regards, Julia on behalf of the DBpedia Association

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Can I have a Wikipedia article written about me?
by Turritopsis Dohrnii Teo En Ming 28 Jul '22

28 Jul '22

Subject: Can I have a Wikipedia article written about me? Good day from Singapore, Can I have a Wikipedia article written about me? I am looking forward to your reply. Thank you. Regards, Mr. Turritopsis Dohrnii Teo En Ming Targeted Individual in Singapore 27 July 2022 Wed Blogs: https://tdtemcerts.blogspot.com https://tdtemcerts.wordpress.com

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Research Fund Update
by Emily Lescak 14 Jul '22

14 Jul '22

Hello, We are enthusiastic to announce that we will open the next request for proposals to the Research Fund in the coming months. We encourage you to review the Meta page [1] for general information about the Fund, eligibility criteria, and previous submissions and begin planning your proposals. Stay tuned for further instructions, office hour dates, and an announcement of the first round of grantees. You can reach out to research_fund(a)wikimedia.org with questions. Best, Emily, on behalf of the Research Fund Organizing Committee [1] https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Tech… -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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WM Research team - time investment heads up
by Leila Zia 14 Jul '22

14 Jul '22

Hi all, If you interact with the Wikimedia Foundation's Research team [1] or rely on some of the services that we offer to the Wikimedia research community, I'd like to share an update with you regarding a change on our team's end for the period of July 2022 until June 30, 2023 in terms of how we invest our time on the Wikimedia Research Community front. ==Context for the change== We want to build a course that can help researchers (or potential future researchers) learn how to contribute their research expertise to the Wikimedia research community and Wikimedia Movement most effectively and joyfully. :) Developing the course material will require significant time investment from our small team. As a result, we are pausing a couple of the existing team initiatives/activities or are reducing time investment on some fronts. We may pause or lower time investments on some other fronts as we progress towards developing the course. ==What are we changing?== 1. We are pausing Monthly Research Office Hours [2] for 6 months with a possibility of extending the pause to 12 months. Emily Lescak, our senior Research Community Officer, had iterated over the format of the office hours and we were looking forward to launching with the new format in August. We will pick up experimenting with the changes that she had planned once we start investing in this space again. :) 2. We are going to reduce our public speaking work (talks, tutorials, keynotes, ...) and we may reduce some of the research community service work we normally offer unless we have already committed to them (PC member, track chair or PC chair roles and responsibilities, etc.). We may continue doing the research service work in our volunteer time. 3. We will be generally more conservative for picking up new initiatives or actions/activities for our team. ==What will not change in the coming 6 months?== * We are continuing to invest on three programs that our team has led over the years: Address Knowledge Gaps, Improve Knowledge Integrity, and Building the Foundations. [3] * On the Research Community front, our team is currently planning to continue to maintain these initiatives/activities: ** Research Fund ** WMF Research Award of the Year ** Wiki Workshop ** Monthly Research Showcases ** bi-annual Research Report ** Formal Collaborations program and mentoring interns ==Should you expect more changes in our services for you?== We may need to reduce investments on more fronts. We will be able to say this more accurately after we make some progress towards developing the course. If we make some relatively major choices in terms of time investment, we intend to continue notifying you through this mailing list. As a general approach: If there is a need for further prioritization of activities, we will continue pausing or reducing time investment considering the impact on the Wikimedia Research community as well as estimated time needed for doing the activity. ==How can I be involved in developing the course?== Thank you for considering joining forces on this front! :) Please write to Emily Lescak (cc-ed) with your proposal about contributing to the development of the course. We will reach out to you based on the specifics of your proposal and the needs of the course. And of course, there will be a page on MetaWiki about the course once we know slightly more than "we want to develop a course". ==What we can look forward to?== For years we have discussed developing a clear entry point for researchers to learn how to contribute research to the Wikimedia projects. We have done some initiatives within our team and in collaborations with other teams: developing tutorials for the resources that researchers can use, offering office hours to help folks get started, investing in documentation, Research Funds, and more. The course can act as a unifying effort or a force-multiplier that can help us reach to more researchers from across the globe with more diverse backgrounds and experiences and show them the possibility and joy of contributing research to the Wikimedia projects. If you have questions about this prioritization, you can reach out to me directly or write on this thread. Best, Leila [1] https://research.wikimedia.org/team.html [2] https://www.mediawiki.org/wiki/Wikimedia_Research/Office_hours [3] https://research.wikimedia.org/projects.html -- Leila Zia Head of Research Wikimedia Foundation

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Wikimedia Research Showcase July 20
by Emily Lescak 14 Jul '22

14 Jul '22

Hi all, The next Research Showcase, featuring the recipients of this year's Wikimedia Foundation Research Awards of the Year, will be live-streamed Wednesday, July 20, at 9:30 AM PST/16:30 UTC. Find your local time here <https://zonestamp.toolforge.org/1658334607>. YouTube stream: https://www.youtube.com/watch?v=KMvXOQU5fX4 <https://www.youtube.com/watch?v=KMvXOQU5fX4> You are welcome to ask questions via YouTube chat or on IRC at #wikimedia-research. This month's presentations: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine LearningBy *Krishna Srinivasan (Google)*The milestone improvements brought about by deep representation learning and pre-training techniques have led to large performance gains across downstream NLP, IR and Vision tasks. Multimodal modeling techniques aim to leverage large high-quality visio-linguistic datasets for learning complementary information across image and text modalities. In this talk, I introduce the Wikipedia-based Image Text (WIT) Dataset to better facilitate multimodal, multilingual learning. WIT is composed of a curated set of 37.5 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. WIT’s unique advantages include: WIT is the largest multimodal dataset by the number of image-text examples by 3x (at the time of writing). WIT is massively multilingual (first of its kind) with coverage over 100+ languages. WIT represents a more diverse set of concepts and real world entities relative to what previous datasets cover. WIT Dataset is available for download and use via a Creative Commons license here: https://github.com/google-research-datasets/wit I conclude the talk with future directions to expand and extend the WIT dataset. Link to paperː https://arxiv.org/pdf/2103.01913.pdf Assessing the Quality of Sources in Wikidata Across LanguagesBy *Gabriel Amaral (King's College London)*Wikidata is one of the most important sources of structured data on the web, built by a worldwide community of volunteers. As a secondary source, its contents must be backed by credible references; this is particularly important as Wikidata explicitly encourages editors to add claims for which there is no broad consensus, as long as they are corroborated by references. Nevertheless, despite this essential link between content and references, Wikidata’s ability to systematically assess and assure the quality of its references remains limited. To this end, we carry out a mixed-methods study to determine the relevance, ease of access, and authoritativeness of Wikidata references, at scale and in different languages, using online crowdsourcing, descriptive statistics, and machine learning. The findings help us ascertain the quality of references in Wikidata, and identify common challenges in defining and capturing the quality of user-generated multilingual structured data on the web. Link to paperː https://dl.acm.org/doi/abs/10.1145/3484828 You can also watch our past research showcases here: https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase Emily, on behalf of the Research team -- Emily Lescak (she / her) Senior Research Community Officer The Wikimedia Foundation

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CICM 2022, final call for applications to the doctoral programme, 15. July 2022
by serge.autexier＠dfki.de 06 Jul '22

06 Jul '22

[Apologies for cross-postings] Final Call for Applications to the Doctoral Programme Deadline 15. July 2022 15th Conference on Intelligent Computer Mathematics - CICM 2022 - September 19-23, 2022 Tbilisi, Georgia (hybrid event) http://www.cicm-conference.org/2022 -------------------------------------------------------------------------------- Digital and computational solutions are becoming the prevalent means for the generation, communication, processing, storage and curation of mathematical information. CICM brings together the many separate communities that have developed theoretical and practical solutions for mathematical applications such as computation, deduction, knowledge management, and user interfaces. It offers a venue for discussing problems and solutions in each of these areas and their integration. CICM 2022 Invited Speakers: * Erika Abraham (RWTH Aachen University) * Deyan Ginev (FAU Erlangen-N��rnberg and NIST) * S��bastien Gou��zel (IRMAR, Universit�� de Rennes 1) CICM 2022 Programme committee: see https://www.cicm-conference.org/2022/cicm.php?event=&menu=pc The Doctoral Programme provides a dedicated forum for PhD students to present and discuss their ideas, ongoing or planned research, and achieved results in an open atmosphere. It will consist of presentations by the PhD students to get constructive feedback, advice, and suggestions from the research advisory board, researchers, and other PhD students. Each PhD student will be assigned to an experienced researcher from the research advisory board who will act as a mentor and who will provide detailed feedback and advice on their intended and ongoing research. Application Students at any stage of their PhD can apply and should submit the following documents: * A two-page abstract of your thesis describing your research questions, research plans, completed and remaining research, evaluation plans and publication plans; * A two-page CV that includes background information (name, university, supervisor), education (degree sought, year/status of degree, previous degrees), employments, relevant research experience (publications, presentations, attended conferences or workshops, etc.) - Deadline: July 15, 2022 (not a cut-off time and late submissions may still be considered) - Notification of acceptance: July 29, 2022 All submissions should be made via EasyChair at https://easychair.org/conferences/?conf=cicm2022

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JOB OPENING: Post-Doctoral Researcher
by MPIDR - Career 28 Jun '22

28 Jun '22

+++ apologies for cross-postings +++ The Max Planck Institute for Demographic Research<http://www.demogr.mpg.de/en> (MPIDR) is seeking to appoint a full-time post-doctoral researcher to join the Research Group on Labor Demography<http://www.demogr.mpg.de/en/research_6120/labor_demography_4733/>. We welcome applications from researchers with a PhD in demography, sociology, economics, statistics, epidemiology, or a similar field. The successful candidate will work on a project aimed at understanding which factors are shaping the length of working life, and they will develop their own agenda within this project. We are seeking creative, self-driven, and collaborative scholars. Strong quantitative analysis skills are required. Knowledge of R or Stata is an advantage, as is experience with longitudinal data analysis, causal inference, or labor market research. We provide a stimulating research-oriented community, an excellent infrastructure, and opportunities to work with exciting datasets. The successful applicant will be offered a contract for up to 4 years with remuneration commensurate to experience (starting from approx. 57,000 EUR gross per year for researchers who have just completed their PhD, up to approx. 71,000 EUR gross per year for more senior scientists), based on the salary structure of the German public sector (Öffentlicher Dienst, TVöD Bund). It is expected that successful applicants will be in residence at the MPIDR. Support for relocation costs is available. Please apply online via this portal<http://survey.demogr.mpg.de/index.php/846559?lang=en> and include in a single PDF file: 1. Letter of interest (max. 1 page) 2. Curriculum Vitae (max. 3 pages, focusing on your most relevant achievements) 3. A writing example (e.g., one of your publications) 4. Contact information for up to 2 academic referees In order to receive full consideration, please apply by August 15. Interviews are planned for September. The exact starting date is flexible. Applicants should have completed their doctoral degree; however, PhD students who expect to obtain their degree in 2022 or early 2023 may apply. For inquiries about the position, please contact Christian Dudel<http://www.demogr.mpg.de/en/about_us_6113/staff_directory_1899/christian_du…> at dudel(a)demogr.mpg.de<mailto:dudel@demogr.mpg.de?subject=Post-doc%3A%20Labor%20Demography>. The MPIDR is one of the leading demographic research centers in the world. It is part of the Max Planck Society<http://www.mpg.de/en>, a network of 86 institutes that form Germany's premier basic-research organization. Max Planck Institutes have an established record of world-class, foundational research in the sciences, technology, social sciences and the humanities. They offer a unique environment that combines the best aspects of an academic setting and a research laboratory. The Max Planck Society offers a broad range of measures to support the reconciliation of work and family. These are complemented by the MPIDR's own initiatives. For more information, see: demogr.mpg.de/go/work-family<https://www.demogr.mpg.de/go/work-family>. In addition, there are a range of central initiatives and measures primarily geared towards helping young female researchers and mothers to advance their career. See the link below for some examples: demogr.mpg.de/go/career-development<https://www.demogr.mpg.de/go/career-development>. We value diversity and are keen to employ individuals from minorities and under-represented groups. The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. Furthermore, the Max Planck Society seeks to increase the number of women in those areas where they are underrepresented and therefore explicitly encourages women to apply. -- This mail has been sent through the MPI for Demographic Research. Should you receive a mail that is apparently from a MPI user without this text displayed, then the address has most likely been faked. If you are uncertain about the validity of this message, please check the mail header or ask your system administrator for assistance.

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