NiDS2021 invites submission in the form of Full papers, Short papers, Posters, Doctoral consortium and Workshop/Tutorial papers to be presented and discussed during the NiDS2021 Conference.

All submissions must be original and not simultaneously submitted to another journal or conference

Only submissions in .pdf format will be accepted. All submissions should be in English. Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 

Submission Categories

Scientific Papers

NiDS2021 is looking for fundamental research, advanced technology and innovative applications in the field of Intelligent Digital Systems. The contributions can have the form of full/short papers or posters.

Doctoral Consortium

The NiDS2021 Doctoral Consortium (DC) is for PhD students to present and discuss their work during its early stages, meet peers who have related interests, and work with more senior members of the field (mentors).

The DC program  is open to all PhD students and invites submissions of papers with advisors or collaborators acknowledged appropriately, as co-authors or otherwise. Students are asked to honour the spirit of the program by submitting only work for which they are primary investigators. Students can submit papers for work reported in a regular paper submitted to NiDS2021, but not for work that has already been published. A structured program will be provided, in which each student will be matched with a mentor, who will be encouraged to offer feedback and support to students as they prepare their presentations, during the Doctoral Consortium, and in at least one one-on-one meeting at the conference. The Consortium will be scheduled within the main conference program in order to encourage maximal community involvement.

Workshops & Tutorials

NiDS2021 invites individuals and groups to propose workshops, tutorials and industry track sessions.

These sessions are intended to bring together groups of researchers from around the world who have shared interests. They provide a good, extended opportunity for researchers to get to know each other in a relaxed atmosphere and stimulate the development of ideas and interests, sometimes leading to collaboration, grants and publications.

The industry track intends to provide a forum for the exchange between academics and researchers with business, business and market representatives.

NiDS2021 encourages a range of events varying in content, aim and structure. Workshops and tutorials can be on any major and timely topic related to NiDS2021. Possible topics include, but are not limited to tools, practices, theories and methods used by Intelligent Digital Systems.

NiDS2021 invites both “classical workshops,” during which early work is presented in an informal, “mini conference” style, as well as workshops that are highly interactive “working meetings” for a group of people, designed to take advantage of being co-located to work together collaboratively on a theme of shared interest. Tutorials should provide an introduction and possibly in-depth treatment of an NiDS2021 topic under the guidance of an experienced researcher.

Submission Length

The length of each submission’s category is:

SubmissionLength
Full Papersup to ten (10) pages
Short Papersup to six (06) pages
Postersup to four (04) pages
Doctoral Consortiumup to four (04) pages
Workshop Papersfour (04) to ten (10) pages
Tutorial Papersfour (04) to ten (10) pages

Double Blind Evaluation

In order to increase high quality papers and independent merit, the evaluation process of papers is double blind. All papers submitted for review MUST not contain the authors’ names, affiliations, or any information that may disclose the authors’ identity (this information is to be restored in the camera-ready version upon acceptance). Authors should replace names and affiliations with Xs on submitted papers. In particular, in the version submitted for review, they should avoid explicit auto-references, such as “in [1] we show” — consider “in [1] it is shown“; i.e. they may cite previous works, provided that they are not deducible from the text that the cited works belong to the authors. When citing their previous work, they should keep the names with Xs.