Sunday, July 15, 2018 : Full day workshop. The workshop is part of the IJCAI / FAIM conferences : http://www.ijcai-18.org
Submission deadline EXTENDED & site:
April 30, 2018 May 14, 2018
Registration (early registration deadline May 31, 2018):
Poll for attendance / submissions:
Please let us know if you plan to attend and/or submit a paper to help us extend the workshop to a full day.
We have sponsorship funds from AI Journal. Details on receiving travel support will be forthcoming. Preference will be given to those with accepted papers.
Dr. Aaron Adler, BBN Technologies
Dr. Fusun Yaman, BBN Technologies
Dr. Eric Klavins, University of Washington
Dr. Natasa Miskov-Zivanov, University of Pittsburgh
Our primary goals for this workshop are to draw the attention of the AI community to a novel and rich application domain, namely Synthetic Biology, and to build mutually beneficial collaborations between the two communities. Synthetic biology is the systematic design and engineering of biological systems. Synthetic organisms are currently designed at the DNA level, which limits the complexity of the systems. In this workshop we will have invited speakers introducing the domain, describing the current workflow used by synthetic biologists. We will identify open problems and challenges in the Synthetic Biology and AI intersection through discussions and demonstrate the feasibility of progress through contributed talks. We will also have a high level talk about different AI techniques targeted towards participants with a Synthetic Biology background.
This workshop at FAIM 2018 seeks to bring together the AI and Synthetic Biology communities. We believe that the time is ripe to gather researchers from synthetic biology and AI communities to cultivate a multi-disciplinary research community that can benefit both areas. For AI researchers it will be a never before explored novel domain with unique challenges, whereas for the synthetic biology community it will be an opportunity to break the complexity barrier it is facing.
AI techniques can help address the challenges that synthetic biology faces including:
- representation of knowledge (e.g., semantic networks, frame representations, domain-specific languages, data exchange),
- prediction and modeling of complex and multi-cellular behavior (e.g., multi- agent systems),
- acquisition of knowledge (e.g., machine learning, hypothesis generation),
- planning and decision making (e.g., expert systems, constraint-based reasoning, planning under uncertainty), and
- automated action (e.g., robotics).
We seek both position papers (up to 2 pages) and short papers (up to 6 pages) that address current or future research problems and/or approaches at the intersection of synthetic biology and AI.
Please note that this workshop is in addition to a possible AAAI fall symposium.