Artificial Intelligence (AI) tends to become a horizontal infrastructure, supporting a variety of disciplines and applications. During the last few years a number of works highlight the potential of AI utilization in natural science settings and the potential for cross-fertilization between disciplines. In SETN 2020 the AI in Natural Sciences and Technology workshop was particularly successful, drawing more than 25 submissions. In turn, these submissions led to 7 proceeding papers, which appeared as part of the SETN2020 Workshops proceedings volume.
In this previous version of the workshop, the programme included 3 keynote speakers with world-wide recognition, covering a variety of domains.
The workshop aims to bring together AI and:
- Mathematical modeling
- Materials science and engineering
- Biology and biomedical engineering
- Pharmaceutical applications and bioinformatics
- Environmental science and engineering
- Weather and climate forecasting
Indicative topics related to the above are:
- Adapting AI for natural sciences;
- Molecular modeling and simulation of materials and processes;
- Big, experimental data analyses (e.g. genomic data, particle physics);
- New materials design;
- Optimization of technological and industrial processes;
- Microscopy enhancement (Deep Learning Microscopy);
- Challenges of AI in natural sciences use cases;
- Quantum computation and AI;
- Error correction and noise removal.
The need for an interdisciplinary workshop on AI and natural sciences and technology comes as a natural extension of these works, aiming to bring together practitioners from both AI and a wide range of scientific and engineering disciplines to cross-fertilize research, algorithms, tools, and novel application areas. The success of the previous venture (AINST 2020) has proven the worth of this interaction.
The aim of the workshop is to activate and empower the – already emerging – community of natural scientists and engineers on the key role of implementing AI to a plethora of cutting-edge scientific domains and industrial processes, as well as AI researchers that understand the idiosyncrasies and challenges of applying AI methods in the area of natural sciences and engineering. To this end, we will accept submissions as:
- Position papers, sketching promising future directions, based on recent findings on the borderline between natural sciences/novel technologies and AI. (Short paper, 2-4 pages)
- Tools and demo papers, describing existing AI tools and their suggested applications on scientific and technological problems. (Short paper, 2-4 pages)
- Research papers, describing new research works, highlighting the interaction between AI and natural sciences. (Full paper, 4-6 pages)
We also envision:
- An invited speaker who has already worked by applying AI on physics problems
- An invited tutorial
- A round table and discussion on the best practices of interaction between AI and Natural Sciences and Technology.
Reviewing process and expected participation
The workshop will accept short (early work, position papers, tools and demos – short papers at 2-4 pages) and long submissions (research papers – full papers at 6-10 pages). These submissions will be peer reviewed by the PC members, aiming to have at least 2 reviews per paper.
We may have a best paper selection process and award, if deemed appropriate.
Submitting a paper to the workshop means that in case of acceptance, at least one author is required to fully register as “Author” for the conference in order for the paper to be included in the proceedings. Moreover, it is expected that at least one author will attend the conference to present the paper.