Pursuant to prior discussions about the need for a research
policy on Wikipedia, WikiProject Research is drafting a
policy regarding the recruitment of Wikipedia users to
participate in studies.
At this time, we have a proposed policy, and an accompanying
group that would facilitate recruitment of subjects in much
the same way that the Bot Approvals Group approves bots.
The policy proposal can be found at:
http://en.wikipedia.org/wiki/Wikipedia:Research
The Subject Recruitment Approvals Group mentioned in the proposal
is being described at:
http://en.wikipedia.org/wiki/Wikipedia:Subject_Recruitment_Approvals_Group
Before we move forward with seeking approval from the Wikipedia
community, we would like additional input about the proposal,
and would welcome additional help improving it.
Also, please consider participating in WikiProject Research at:
http://en.wikipedia.org/wiki/Wikipedia:WikiProject_Research
--
Bryan Song
GroupLens Research
University of Minnesota
Hi all,
We're really excited to announce the launch of the second *Wikimedia
Research Fund *with the goal of diversifying the network of Wikimedia
researchers globally and supporting the Wikimedia Movement in deeper
understanding of the projects, decision making, and building new
technologies.
If you are a Wikimedia researcher or you are interested in becoming one,
you can apply for research funds (USD 2K-50K) until December 16, 2022.
While all research proposals related to Wikimedia projects are welcome, we
particularly encourage research studies on medium to small size languages
and communities, as well as in low resourced languages and projects. You
can even propose to repeat a past study in a given language in another
language!
More info at
https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Tech…
.
*Apply by December 16, 2022* and/or spread the word!
If you have questions, please reach out to us at research_fund(a)wikimedia.org,
Meta-Wiki [1], here, or in one of our upcoming office hours (schedule will
be shared in [2] soon!)
Best,
the Research Fund committee chairs
Benjamin Mako Hill (University of Washington)
Leila Zia (Wikimedia Foundation)
[1] https://meta.wikimedia.org/wiki/Grants_talk:Start
[2]
https://meta.wikimedia.org/wiki/Grants:Programs/Wikimedia_Research_%26_Tech…
Hello!
I am sharing a CfP that I think will be of interest to the wiki research
community, given its topic :) Apologies if you run into this cross-posted
elsewhere.
We are sharing a CfP for a workshop: "Ethical Tensions, Norms, and
> Directions in the Extraction of Online Volunteer Work", to be held Nov 13
> during CSCW 2022 (virtual this year).
>
> This one-day workshop, broken up into two sessions to accommodate
> international participation, will convene to reflect on and interrogate the
> relationship between online volunteer work and the industries that rely on
> and profit from them. Online volunteer work such as moderating forums and
> participating in open source projects not only underpins today’s digital
> infrastructures, but also helps companies generate immense profits.
> However, there remains a lack of ethical norms around using volunteer labor
> for corporate interests, opening opportunities for unchecked extraction of
> online volunteer work at scale. Through a series of talks, a panel, and
> small group discussions, this workshop makes a call for increased attention
> to ethical issues in the extraction of online volunteer work.
>
> We invite individuals interested in presenting their work to submit a 2-4
> page extended abstract by Sept 21, 2022 to:
> https://easychair.org/my/conference?conf=eeovw22
>
> Accepted abstracts will be guaranteed a presentation slot. For individuals
> interested in attending without presenting, we will later have an
> application form (capped at 50 people) on our website so stay tuned!
>
-- sohyeon
Dear friends,
My colleague and I are looking to hire 0.5 FTE, 3 year post-doc for our ARC
Discovery Project re. Wikipedia in Australia called "Wikipedia and the
nation's story: Towards equity in knowledge production" (which is also
about platform bias, representation, digital inequality, knowledge
democracy, data feminism & others). Ping me if interested! Unfortunately
limited to those with Australian work rights.
I'd be grateful if you could share with your networks.
All best,
Heather.
---------------------------
Dr Heather Ford
Associate Professor and Head of Discipline (Digital and Social Media
<https://www.uts.edu.au/future-students/communication/digital-and-social-med…>
)
School of Communication
<https://www.uts.edu.au/future-students/communication/about-communication/we…>,
University of Technology, Sydney <https://www.uts.edu.au/> (UTS)
w: hblog.org / t: @hfordsa <http://www.twitter.com/hfordsa>
*** apologies for cross-postings ***
The Max Planck Institute for Demographic Research (MPIDR) is recruiting 1-2 highly qualified Post-Docs, or more senior Research Scientists, to join the Lab of Digital and Computational Demography<http://www.demogr.mpg.de/go/lab-dcd>, headed by the MPIDR Director Emilio Zagheni<http://www.demogr.mpg.de/en/about_us_6113/staff_directory_1899/emilio_zaghe…>.
The MPIDR is one of the leading demographic research centers in the world. The Institute's scientists advance fundamental research in areas related to fertility, mortality and migration, as well as study issues of policy relevance, such as demographic change, aging, health, the redistribution of work and transfers over the life course, as well as the digitization of life and the use of novel data sources for understanding demographic dynamics. The MPIDR is part of the Max Planck Society, 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 Lab of Digital and Computational Demography brings together methodologists (from areas like Statistics, Computer Science or Formal Demography) with experts in various areas of the Social Sciences in order to foster cross-pollination of ideas, to advance methods and theory, and to address pressing scientific and societal questions.
For more information about the Lab and its current projects, see: demogr.mpg.de/go/lab-dcd<http://www.demogr.mpg.de/go/lab-dcd>
The successful candidate must have a PhD (or receive it soon) and is expected to have a profile along one of the following lines:
1. A methodologist interested in advancing computational, statistical or mathematical methods with applications to population science.
2. A social and behavioral scientist with strong expertise in at least one of the following substantive areas: migration and mobility; aging, mortality and demographic change; environmental demography; (digital) health; technological change and well-being.
3. A computational social scientist interested in working on questions central to population research.
Across all profiles, ability and willingness to work in interdisciplinary teams in order to conduct cutting-edge research that advances our understanding of population processes is key.
Candidates who can enrich or complement projects in any research area<http://www.demogr.mpg.de/en/research_6120/digital_and_computational_demogra…> of the Lab will be considered.
Examples of themes that we are interested in strengthening include (but are not limited to):
* The use of advanced statistical analysis, machine learning and causal inference for prediction and understanding of survival, indicators of aging and well-being, and demographic outcomes across countries;
* Assessment of the relationships between climate change, population dynamics and individual behaviors, including the impact of climate change on demographic and health indicators.
* Assessment of the impact of technological transformations, including the digitalization of life, on social inequalities, demographic outcomes and well-being.
Applications have to be in English and submitted online via this survey<https://survey.demogr.mpg.de/index.php/355462?lang=en> and include 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 in which ways your interests fit the research strengths of the MPIDR.
3. Research Statement (Max 2 pages)
Briefly describe your research accomplishments, as well as ongoing and future research plans. Please also 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 2 academic referees
5. Two writing samples or publications
The position will be open until filled. In order to receive full consideration, applications should be submitted by October 16, 2022. The starting date is flexible, but no later than early 2023. The successful applicant(s) will be offered a 3-year contract with remuneration commensurate to experience (starting from currently 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.
For inquiries about the positions, please contact office-zagheni(a)demogr.mpg.de<mailto:office-zagheni@demogr.mpg.de?subject=Inquiry%20Post-doc%20positions>
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. 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 also 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.
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.
--
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+++ apologies for cross-postings +++
We invite applications from qualified and highly motivated students for a 3.5-year St Andrews–Max Planck PhD studentship in Population Health. The PhD studentship is funded by the University of St Andrews and the Max Planck Institute for Demographic Research (MPIDR). The PhD student will be working in the intersection of population health, kinship demography and geography. The project will investigate how adult children contribute to their parents’ health and survival (including the role of residential proximity). The project will involve analysis of individual-level data from high-income countries (including the UK). The project will be part of the International Max Planck Research School for Population, Health and Data Science (IMPRS-PHDS) imprs-phds.mpg.de<https://www.imprs-phds.mpg.de/> and The Connecting Generations Centre (CGC) cpc.ac.uk/research_programme<https://www.cpc.ac.uk/research_programme/connecting_generations/#Current>. The studentship is available from January 2023.
In the first 21 months, the successful applicant will be working in the Laboratory of Population Health at the Max Planck Institute for Demographic Research in Rostock, Germany, one of the leading centres for demographic research in the world. Please see:
demogr.mpg.de/population_health<https://www.demogr.mpg.de/en/laboratories/population_health_3922/>.
For the remainder of the studentship, they will be working at the University of St Andrews. They will become a member of the Population and Health Research Group at the School of Geography and Sustainable Development (SGSD), which combines expertise in advanced techniques of demographic, longitudinal and spatial analysis. For further details about the research group, please see: populationandhealth.wp.st-andrews.ac.uk<https://populationandhealth.wp.st-andrews.ac.uk/>. The student is expected to use the opportunity of preparing a PhD thesis as a collection of research articles according to the PGR regulations of the University of St Andrews.
During the period in Germany, the PhD student will be paid according to the MPIDR rules and regulations. This includes: 1) A contract currently amounting to a gross salary of about €34,295 per year, including a Christmas bonus (Weihnachtsgeld); and 2) Financial support for travel, research training, and data acquisition. During the period in the UK, the St Andrews–Max Planck PhD studentship will cover: 1) A maintenance grant of £16,062 per year (in the 2022/23 academic year, subject to increase annually according to the ESRC rules and regulations); 2) A research training support grant (RTSG) of £750 per year; and 3) Full tuition fee waiver.
This is an excellent opportunity for a highly motivated PhD student to join an international team of researchers applying advanced quantitative methods and statistical modelling to a cutting-edge population and health science topic. Students with an excellent master’s degree (distinction or merit in the UK) or the equivalent national qualification in any area of social, health and environmental sciences including statistics and applied mathematics who are interested in this opportunity must submit their application by 26th September, 2022. Please see the advice on applying for research degree programmes at: st-andrews.ac.uk/study/apply<https://www.st-andrews.ac.uk/study/apply/postgraduate/research/>. Please apply to the programme “PhD Geography (Science)”. Please include a cover letter outlining your interest in applying advanced quantitative methods to studying populations. Please also upload an academic writing sample (normally a chapter of a Masters dissertation) to your online application. Shortlisted applicants will be interviewed in the first half of October. The University of St Andrews and the Max Planck Society strive for equal opportunities. Applications of any background are welcome. 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.
For informal inquiries, please contact Dr. Yana Vierboom (vierboom(a)demogr.mpg.de<mailto:vierboom@demogr.mpg.de?subject=St%20Andrews%E2%80%93Max%20Planck%20PhD%20Studentship%20in%20Population%20Health>), Dr. Júlia Mikolai (Julia.Mikolai(a)st-andrews.ac.uk<mailto:Julia.Mikolai@st-andrews.ac.uk?subject=St%20Andrews%E2%80%93Max%20Planck%20PhD%20Studentship%20in%20Population%20Health>), Prof. Mikko Myrskylä (office-myrskyla(a)demogr.mpg.de<mailto:office-myrskyla@demogr.mpg.de?subject=St%20Andrews%E2%80%93Max%20Planck%20PhD%20Studentship%20in%20Population%20Health>) and Prof. Hill Kulu (Hill.Kulu(a)st-andrews.ac.uk<mailto:Hill.Kulu@st-andrews.ac.uk?subject=St%20Andrews%E2%80%93Max%20Planck%20PhD%20Studentship%20in%20Population%20Health>). For informal enquires about the application process please contact Helen Olaez at: gsdpgradmin(a)st-andrews.ac.uk<mailto:gsdpgradmin@st-andrews.ac.uk?subject=St%20Andrews%E2%80%93Max%20Planck%20PhD%20studentship>. Please include ‘St Andrews–Max Planck PhD studentship’ in the subject line of your email.
--
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