Important Dates
March 1, 2025: Submission Deadline (all formats, midnight AoE) on EasyChair
Early May 2025: Notification of Acceptance
May 25, 2025: Final camera-ready papers due
Early May 2025: Notification of Acceptance
May 25, 2025: Final camera-ready papers due
Themes of Interest
ACM Collective Intelligence is the premier venue for disseminating the latest research that advances the theoretical and empirical understanding of collective performance in diverse systems, whether biological, technological, or a combination. We are interested in research on a broad range of systems that vary in scale and scope and focus on implications for a diverse range of social, ecological, and economic outcomes.
The ACM Collective Intelligence (CI) Conference has a transdisciplinary focus devoted to advancing the theoretical and empirical understanding of collective intelligence, broadly designed. This work includes basic science as well as solutions engineering for diverse subjects including biological, technological, and hybrid systems. We are interested in research on a broad range of phenomena that vary in scale and scope with implications for a diverse range of social, ecological, and economic outcomes.
Researchers who participate in the CI conference represent a wide and growing cross-section of social science and computer science as well the natural sciences, arts, and humanities. All types of contributions—empirical, conceptual, theoretical, quantitative, and qualitative—are welcome, including computational models.
Topics include (but are not limited to) research that helps us to explain the mechanisms of emergent behavior as well as presentations of design solutions and systems engineering.
Research on collective behaviors including, but not limited to:
Research into systems and tasks to support the following, but not limited to:
The ACM Collective Intelligence (CI) Conference has a transdisciplinary focus devoted to advancing the theoretical and empirical understanding of collective intelligence, broadly designed. This work includes basic science as well as solutions engineering for diverse subjects including biological, technological, and hybrid systems. We are interested in research on a broad range of phenomena that vary in scale and scope with implications for a diverse range of social, ecological, and economic outcomes.
Researchers who participate in the CI conference represent a wide and growing cross-section of social science and computer science as well the natural sciences, arts, and humanities. All types of contributions—empirical, conceptual, theoretical, quantitative, and qualitative—are welcome, including computational models.
Topics include (but are not limited to) research that helps us to explain the mechanisms of emergent behavior as well as presentations of design solutions and systems engineering.
Research on collective behaviors including, but not limited to:
- Crowds, flocks, and swarms
- Collective emotion and polarization
- Belief formation and misinformation
- Social network formation and functioning
- Science and innovation
- Open source communities
- Organizational studies
Research into systems and tasks to support the following, but not limited to:
- Forecasting and decision-making
- Democracy, civics, and policymaking
- Complex problem solving
- Crisis response
- Community-driven design
- Innovation contests
- Citizen science
- Discussion moderation and decision facilitation
- Computer-human collaboration (e.g. hybrid systems, LLMs)
Submission Types and Formats
CI’2025 offers the following options for participation:
Submission site:
All submissions should be submitted via EasyChair by the deadline.
All submissions should be submitted via EasyChair by the deadline.
Templates:
All submissions should use the following templates [links updated 2024-03-09] and must be converted to PDF at the time of submission:
LaTex Template
Word Template
The two primary submission formats—full papers and extended abstracts—are intended to accommodate the different norms and requirements across the diverse fields represented in the Collective Intelligence community. Both formats will have an equal chance of acceptance, and are equally likely to be invited for inclusion as an oral presentation or as a poster. Submissions will be selected for inclusion based on their quality and the fit of their topic with the interests of the CI ‘25 audience. The key differences between formats (see below) relate to the amount of feedback authors will receive and opportunities for inclusion in archival proceedings and/or consideration for journal publication. The format selected at the time of initial submission cannot be changed at a later point in the process.
Attendance and presentations:
Accepted full papers and extended abstracts will be invited to give verbal presentations at the conference. To ensure your accepted submission will be included in the conference program, at least one author of each accepted submission must register to attend the conference by the camera-ready submission deadline. Failure to do so will result in the withdrawal of the paper. In-person attendance is required as remote presentations are only allowed under exceptional circumstances.
In the submission form, authors of full papers and extended abstracts may check an option to be automatically considered for a poster or demo presentation if the submission is not accepted for a verbal presentation.
All submissions should use the following templates [links updated 2024-03-09] and must be converted to PDF at the time of submission:
LaTex Template
Word Template
The two primary submission formats—full papers and extended abstracts—are intended to accommodate the different norms and requirements across the diverse fields represented in the Collective Intelligence community. Both formats will have an equal chance of acceptance, and are equally likely to be invited for inclusion as an oral presentation or as a poster. Submissions will be selected for inclusion based on their quality and the fit of their topic with the interests of the CI ‘25 audience. The key differences between formats (see below) relate to the amount of feedback authors will receive and opportunities for inclusion in archival proceedings and/or consideration for journal publication. The format selected at the time of initial submission cannot be changed at a later point in the process.
- Full papers will be assigned to a Program Committee member who will recruit 3 external reviewers and write a meta-review. Reviewers will be instructed to write full reviews that evaluate submissions according to specific review criteria. Accepted full papers will be published in the archival 2025 ACM Collective Intelligence conference proceedings which will be available via the ACM Digital Library. These papers will be assigned individual digital object identifiers as citable publications. Note: authors submitting to the full paper track are expected to serve as a reviewer on at least one paper.
- Extended abstracts will receive short reviews by two members of the Program Committee. Accepted abstracts will be made available to conference participants on the CI’25 website. These abstracts will not be archived in the ACM library nor assigned individual DOIs for tracking future citations. This option may be attractive to social science researchers who wish to submit their work to a journal for archival publication.
Attendance and presentations:
Accepted full papers and extended abstracts will be invited to give verbal presentations at the conference. To ensure your accepted submission will be included in the conference program, at least one author of each accepted submission must register to attend the conference by the camera-ready submission deadline. Failure to do so will result in the withdrawal of the paper. In-person attendance is required as remote presentations are only allowed under exceptional circumstances.
In the submission form, authors of full papers and extended abstracts may check an option to be automatically considered for a poster or demo presentation if the submission is not accepted for a verbal presentation.
Paper awards:
CI’25 will recognize one best full paper, one best extended abstract, and one best student submission (of any type). Reviewers will be asked to flag papers they deem worthy of a recognition. The program chairs will form a small committee that will read the nominated papers, consider the comments of the reviewers, and assess submissions to determine winners.
CI’25 will recognize one best full paper, one best extended abstract, and one best student submission (of any type). Reviewers will be asked to flag papers they deem worthy of a recognition. The program chairs will form a small committee that will read the nominated papers, consider the comments of the reviewers, and assess submissions to determine winners.
Full Papers
We invite archival full paper submissions up to 10 pages in length (using the template provided above), with as many extra pages needed for references and appendices. Paper length should be commensurate with the weight of the contribution. A new idea presented in a compact format is more likely to be accepted than the same idea in a long format.
Blind review process:
CI 2025 will adopt a double-blind review process for archival full papers. Authors submitting this submission format must ensure that their submissions are fully anonymized by removing all identifying details, including author names, affiliations, and institutions. Authors should also avoid citing any unpublished work of their own. We do not prohibit authors from posting preprints of their work on platforms such as SSRN or arXiv either before or during review by the conference. However, to maintain the integrity of the double-blind peer review, we ask that authors refrain from publicizing the research on social media or discussing it with the press until the review process is complete. CI 2025 will enforce this double-blind review policy, and any submissions that fail to meet these anonymity requirements will be desk rejected.
Double submission policy:
Full paper submissions to the conference must represent original work. Submissions should not have been previously published and should not be under simultaneous peer-review at any other peer-reviewed archival conference or journal. Papers that have appeared at a conference with published proceedings constitute previously published work. If the paper uses some data, measures, or material from previously-published work, it should also contain significant new results and/or focus on a significantly different research question. Works that have appeared at a workshop, poster/demo session, extended abstract, or any non-archival forum do not constitute previously published work, as long as the paper is an extension of the prior work. Extensions might include new results, more in-depth analysis, an evaluation that was not part of the workshop paper, or further experiments. Any submissions that fail to meet these double submission requirements will be desk rejected.
Supplemental materials:
Authors are invited, but not required, to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials may be viewed at the discretion of reviewers, who are only obligated to read the submitted papers. Full papers will receive three independent blind reviews and a meta-review.
CI Journal option:
Full paper submissions have the option of additional consideration for publication in ACM’s Collective Intelligence Journal (CI Journal Fast Track). Authors who select this option in EasyChair agree to share their submitted paper and reviews with the journal’s editors who will, at their discretion, keep or expand the existing set of reviewers and consider the work for publication in the Journal. This option must be selected at the time of initial submission to the conference.
ACM publication policies:
Full papers will be archived and, therefore, must adhere to ACM’s publication policies. Authors hereby acknowledge that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
Blind review process:
CI 2025 will adopt a double-blind review process for archival full papers. Authors submitting this submission format must ensure that their submissions are fully anonymized by removing all identifying details, including author names, affiliations, and institutions. Authors should also avoid citing any unpublished work of their own. We do not prohibit authors from posting preprints of their work on platforms such as SSRN or arXiv either before or during review by the conference. However, to maintain the integrity of the double-blind peer review, we ask that authors refrain from publicizing the research on social media or discussing it with the press until the review process is complete. CI 2025 will enforce this double-blind review policy, and any submissions that fail to meet these anonymity requirements will be desk rejected.
Double submission policy:
Full paper submissions to the conference must represent original work. Submissions should not have been previously published and should not be under simultaneous peer-review at any other peer-reviewed archival conference or journal. Papers that have appeared at a conference with published proceedings constitute previously published work. If the paper uses some data, measures, or material from previously-published work, it should also contain significant new results and/or focus on a significantly different research question. Works that have appeared at a workshop, poster/demo session, extended abstract, or any non-archival forum do not constitute previously published work, as long as the paper is an extension of the prior work. Extensions might include new results, more in-depth analysis, an evaluation that was not part of the workshop paper, or further experiments. Any submissions that fail to meet these double submission requirements will be desk rejected.
Supplemental materials:
Authors are invited, but not required, to include supplemental materials such as executables and data files so that reviewers can reproduce results in the paper, images, additional videos, related papers, more detailed explanations, derivations, or results. These materials may be viewed at the discretion of reviewers, who are only obligated to read the submitted papers. Full papers will receive three independent blind reviews and a meta-review.
CI Journal option:
Full paper submissions have the option of additional consideration for publication in ACM’s Collective Intelligence Journal (CI Journal Fast Track). Authors who select this option in EasyChair agree to share their submitted paper and reviews with the journal’s editors who will, at their discretion, keep or expand the existing set of reviewers and consider the work for publication in the Journal. This option must be selected at the time of initial submission to the conference.
ACM publication policies:
Full papers will be archived and, therefore, must adhere to ACM’s publication policies. Authors hereby acknowledge that you and your co-authors are subject to all ACM Publications Policies, including ACM's new Publications Policy on Research Involving Human Participants and Subjects. Alleged violations of this policy or any ACM Publications Policy will be investigated by ACM and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.
Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper. ACM has been involved in ORCID from the start and we have recently made a commitment to collect ORCID IDs from all of our published authors. The collection process has started and will roll out as a requirement throughout 2022. We are committed to improving author discoverability, ensuring proper attribution and contributing to ongoing community efforts around name normalization; your ORCID ID will help in these efforts.
Extended Abstracts
We invite non-archival extended abstract submissions up to 4 pages in length (using the template provided above), with as many extra pages needed for references and appendices. Extended abstracts will receive two short reviews by PC members. Extended abstract submissions can be based on previously-published work, as long as the authors clearly cite the publications on which their submission is based. Accepted extended abstracts will be non-archival and made available via the conference website, giving authors the flexibility to further develop their ideas and submit to other venues in the future.
Demos and Posters
We invite submissions for the Demos and Posters track. This track provides an exciting opportunity to share recent findings, innovative ideas, hands-on demonstrations, and novel technologies with the community. We encourage submissions that focus on collective intelligence and human-centered AI, as well as interdisciplinary work that fosters discussion and collaboration across diverse fields such as computer science, AI, HCI, economics, social sciences, and digital humanities.
We welcome work from a variety of perspectives and disciplines and encourage researchers and practitioners alike to submit. This is a unique platform to showcase early-stage work, receive valuable feedback, and spark collaborations among colleagues in a dynamic and interactive environment.
Accepted demos and posters will be non-archival and made available via the conference website, giving authors the flexibility to further develop their ideas and submit to other venues in the future.
Demos:
Demos offer a high-visibility, hands-on opportunity to present interactive systems, tools, or technologies related to collective intelligence, collaborative human-AI systems, and human-centered AI. This track provides a platform to showcase prototypes, systems, exhibits, or installations that engage participants through live interaction. If you’ve built something exciting, this is your chance to show it in action! Demo submissions should describe the system, the nature of the interaction with users, and the expected form of audience engagement. Demonstrations provide a powerful way to share and communicate your work’s practical impact.
Posters:
Posters present concise reports of recent findings or innovative work relevant to collective intelligence and human-centered AI. Poster submissions are perfect for work that is still in progress or has not yet reached the completion level required for full paper submission. Each poster submission should offer some contribution to the collective intelligence or AI research community, whether in results or in potential. Accepted posters will be presented in-person at the conference in the form of a poster session, offering authors the chance to engage with attendees and receive feedback in an interactive format.
We welcome work from a variety of perspectives and disciplines and encourage researchers and practitioners alike to submit. This is a unique platform to showcase early-stage work, receive valuable feedback, and spark collaborations among colleagues in a dynamic and interactive environment.
Accepted demos and posters will be non-archival and made available via the conference website, giving authors the flexibility to further develop their ideas and submit to other venues in the future.
Demos:
Demos offer a high-visibility, hands-on opportunity to present interactive systems, tools, or technologies related to collective intelligence, collaborative human-AI systems, and human-centered AI. This track provides a platform to showcase prototypes, systems, exhibits, or installations that engage participants through live interaction. If you’ve built something exciting, this is your chance to show it in action! Demo submissions should describe the system, the nature of the interaction with users, and the expected form of audience engagement. Demonstrations provide a powerful way to share and communicate your work’s practical impact.
Posters:
Posters present concise reports of recent findings or innovative work relevant to collective intelligence and human-centered AI. Poster submissions are perfect for work that is still in progress or has not yet reached the completion level required for full paper submission. Each poster submission should offer some contribution to the collective intelligence or AI research community, whether in results or in potential. Accepted posters will be presented in-person at the conference in the form of a poster session, offering authors the chance to engage with attendees and receive feedback in an interactive format.
Submission Details:
Demos and Posters must be made through the EasyChair platform by the deadline. Demos and Poster submissions must be between 2 and 3 pages (excluding references). Formatting: All papers must be formatted using the AAAI two-column, camera-ready style. Refer to the AAAI 2025 Author Kit for more details. Please submit in high-resolution PDF format, US Letter size (8.5″ x 11″), using Type 1 or TrueType fonts. The AAAI copyright block is not required, as these submissions will not be included in the formal proceedings. Supplemental Materials: Authors are encouraged to include additional materials such as executables or data files to enhance reproducibility. Non-anonymized: Authors should include identifying information for a single-blind review process. We look forward to seeing your innovative contributions and providing a platform for impactful discussions around collective intelligence and human-centered AI!
Demos and Posters must be made through the EasyChair platform by the deadline. Demos and Poster submissions must be between 2 and 3 pages (excluding references). Formatting: All papers must be formatted using the AAAI two-column, camera-ready style. Refer to the AAAI 2025 Author Kit for more details. Please submit in high-resolution PDF format, US Letter size (8.5″ x 11″), using Type 1 or TrueType fonts. The AAAI copyright block is not required, as these submissions will not be included in the formal proceedings. Supplemental Materials: Authors are encouraged to include additional materials such as executables or data files to enhance reproducibility. Non-anonymized: Authors should include identifying information for a single-blind review process. We look forward to seeing your innovative contributions and providing a platform for impactful discussions around collective intelligence and human-centered AI!
Workshop Proposals
We invite proposals for workshops up to 4 pages in length using the template provided above. Workshops offer a unique opportunity to bring together communities with shared research interests to discuss ongoing work, initiate new collaborations, and generate creative solutions. We especially encourage workshops focused on collective intelligence, human-centered AI, or topics that connect with California stakeholders in academia, industry, and beyond.
Workshops may cover a wide range of themes, including cutting-edge research, best practices, tools, education, emerging trends, and critical reflections on current methodologies and frameworks. While topics should generally fit within the scope of collective intelligence and human-centered AI, we also welcome proposals exploring emerging research directions that challenge conventional thinking.
In addition to research-focused workshops, we encourage proposals for other types of activities such as tutorials, roundtables, and interactive sessions.
Workshop format:
We encourage workshop formats that promote active engagement from participants. This could include attendee contributions (e.g., posters, lightning talks), informal debates (e.g., breakout groups, panel discussions), or interactive activities such as demos, collaborative tasks, and hands-on problem-solving sessions. Think creatively—how can participants create or solve something together?
Workshops may cover a wide range of themes, including cutting-edge research, best practices, tools, education, emerging trends, and critical reflections on current methodologies and frameworks. While topics should generally fit within the scope of collective intelligence and human-centered AI, we also welcome proposals exploring emerging research directions that challenge conventional thinking.
In addition to research-focused workshops, we encourage proposals for other types of activities such as tutorials, roundtables, and interactive sessions.
Workshop format:
We encourage workshop formats that promote active engagement from participants. This could include attendee contributions (e.g., posters, lightning talks), informal debates (e.g., breakout groups, panel discussions), or interactive activities such as demos, collaborative tasks, and hands-on problem-solving sessions. Think creatively—how can participants create or solve something together?
Workshop submission details:
The proposal should include:
The proposal should include:
- Title
- Topics and subtopics in scope
- Organizers’ names and affiliations
- Duration (full-day or half-day)
- Draft schedule
- Submission deadline for your workshop (suggested by TBD )
- Notification date for acceptance/rejection (suggested by TBD )
- How will you keep participants engaged and actively debating or collaborating?
- Approximate time spent on non-interactive activities (e.g., listening to talks)
- How will you advertise your workshop to reach a diverse and broad audience?
- Potential keynote speakers, panelists, or special invitees (note any already invited or tentatively confirmed)
CrowdCamp
CrowdCamp is a hackathon for researchers and practitioners interested in collective intelligence, crowdsourcing, human computation, and AI. This is an interdisciplinary and collaborative opportunity that does not constrain participation based on technical skills such as coding. We invite students, researchers, practitioners and industry researchers from a wide variety of disciplines—social sciences, programming, ethnography, design, and more—to participate and explore cutting-edge ideas.
As a part of CrowdCamp, you will be able to join a team focusing on developing a prototype, study design, algorithm idea, pilot study, or other innovative outcome in the weeks leading up to the workshop, ultimately culminating in presentations and feedback from the Collective Intelligence community on the day of the workshop itself. Previous CrowdCamp projects at other conferences such as HCOMP have led to top-tier conference publications, blog posts, and ongoing research collaborations. A selected list of publications to come out of past CrowdCamps are the following:
More details will be coming soon!
As a part of CrowdCamp, you will be able to join a team focusing on developing a prototype, study design, algorithm idea, pilot study, or other innovative outcome in the weeks leading up to the workshop, ultimately culminating in presentations and feedback from the Collective Intelligence community on the day of the workshop itself. Previous CrowdCamp projects at other conferences such as HCOMP have led to top-tier conference publications, blog posts, and ongoing research collaborations. A selected list of publications to come out of past CrowdCamps are the following:
- “Annotator Response Distributions as a Sampling Frame”: Christopher Homan, Tharindu Cyril Weerasooriya, Lora Aroyo, and Chris Welty. Workshop on Perspectivist Approaches to NLP@LREC2022.
- “Subcontracting Microwork”: Meredith Ringel Morris, Jeffrey P. Bigham, Robin Brewer, Jonathan Bragg, Anand Kulkarni, Jessie Li, Saiph Savage. ACM CHI 2017.
- “Possible Confounds in Word-based Semantic Similarity Test Data”: Malay Bhattacharyya, Yoshihiko Suhara, Md Mustafizur Rahman, Markus Krause. CSCW 2017.
- “Worker-Owned Cooperative Models for Training Artificial Intelligence”: Anand Sriraman, Jonathan Bragg, Anand Kulkarni. CSCW 2017.
- “Computer Supported Collective Action”: Aaron Shaw, Haoqi Zhang, Andrés Monroy-Hernández, Sean Munson, Benjamin Hill, Elizabeth Gerber, Peter Kinnaird, Patrick Minder. ACM Interactions, March 2014.
- “The Future of Crowd Work”: Aniket Kittur, Jeffrey V. Nickerson, Michael Bernstein, Elizabeth Gerber, Aaron Shaw, John Zimmerman, Matt Lease, John Horton. ACM CSCW 2013.
More details will be coming soon!
Doctoral Consortium
We’re excited to announce that this year, the Collective Intelligence (CI) conference is hosting a Doctoral Colloquium for PhD students, providing an exceptional opportunity to connect with peers and seasoned researchers across the community. This is your chance to share your work, receive valuable feedback, and build meaningful connections across the Collective Intelligence community.
A small group of Ph.D students will be joined by established CI researchers. The aim is for students to learn from one another and those more experienced in the field. Selected Ph.D students will:
Why Participate?
The CI conference presents a unique opportunity to increase visibility for doctoral research, particularly in areas like collective decision-making and democracy, herd and swarm behavior, science of science, AI systems for social good, crowdsourcing, and AI's ethical and policy implications. Participating in the consortium is a fantastic way to showcase your research, engage with thought leaders, and contribute to advancing the field of human-centered AI.
Important Dates:
TBD: Early deadline for applications (recommended for those needing visa processing time)
TBD: Early notification
TBD: Final application deadline
TBD: Final notifications
TBD: Doctoral Consortium at CI 2025
Areas of Interest:
The CI community spans a diverse range of disciplines, including computer science, artificial intelligence, human-computer interaction, economics, social sciences, ethics, and digital humanities. If your work explores areas like collective intelligence, crowdsourcing, human-centered AI, or the future of work, this is the perfect venue to share your ideas and receive valuable input.
Eligibility:
To participate, you must be currently enrolled in a PhD program. While applicants from any stage are welcome, the consortium is particularly suited for those who have a plan for the things you will do to finish your dissertation, have made some progress in carrying out that plan, and can still change the plan based on feedback and mentorship.
Selection Criteria:
We’re looking for students whose research shows potential to push boundaries and benefit from mentorship and feedback. Priority will be given to those whose research extends beyond locally available expertise.
Application Process:
You will need to submit a 3-page Doctoral Research Overview, detailing your motivation, research questions, methodology, any key challenges, timeline for your research process and indication where you are in the process Along with that, include a short paragraph on why you want to join the consortium and how you expect to benefit from it.
We look forward to your application and to building a vibrant, supportive community of future leaders in the field!
For more information or questions, feel free to contact Tanja Aitamurto ([email protected]) and Steven Rick ([email protected]).
A small group of Ph.D students will be joined by established CI researchers. The aim is for students to learn from one another and those more experienced in the field. Selected Ph.D students will:
- Present and discuss their research directions, gaining new ideas and perspectives from others in the field;
- Support each other by constructively offering feedback to the other attending Ph.D students;
- Build a supportive community among fellow Ph.D students, fostering connections that can extend beyond the consortium; and
- Gain broader exposure for your work, especially valuable as you prepare for the next stages of your academic career or job search.
Why Participate?
The CI conference presents a unique opportunity to increase visibility for doctoral research, particularly in areas like collective decision-making and democracy, herd and swarm behavior, science of science, AI systems for social good, crowdsourcing, and AI's ethical and policy implications. Participating in the consortium is a fantastic way to showcase your research, engage with thought leaders, and contribute to advancing the field of human-centered AI.
Important Dates:
TBD: Early deadline for applications (recommended for those needing visa processing time)
TBD: Early notification
TBD: Final application deadline
TBD: Final notifications
TBD: Doctoral Consortium at CI 2025
Areas of Interest:
The CI community spans a diverse range of disciplines, including computer science, artificial intelligence, human-computer interaction, economics, social sciences, ethics, and digital humanities. If your work explores areas like collective intelligence, crowdsourcing, human-centered AI, or the future of work, this is the perfect venue to share your ideas and receive valuable input.
Eligibility:
To participate, you must be currently enrolled in a PhD program. While applicants from any stage are welcome, the consortium is particularly suited for those who have a plan for the things you will do to finish your dissertation, have made some progress in carrying out that plan, and can still change the plan based on feedback and mentorship.
Selection Criteria:
We’re looking for students whose research shows potential to push boundaries and benefit from mentorship and feedback. Priority will be given to those whose research extends beyond locally available expertise.
Application Process:
You will need to submit a 3-page Doctoral Research Overview, detailing your motivation, research questions, methodology, any key challenges, timeline for your research process and indication where you are in the process Along with that, include a short paragraph on why you want to join the consortium and how you expect to benefit from it.
We look forward to your application and to building a vibrant, supportive community of future leaders in the field!
For more information or questions, feel free to contact Tanja Aitamurto ([email protected]) and Steven Rick ([email protected]).
