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ISAL AWARD202220212020201920182017201620152014
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Lifetime Achievement Award - to recognize an individual who has made profound contributions to the field of Artificial Life, influencing the work of many others and helping to shape the state of the art.Joint Winners:
Prof. Stephanie Forrest and
Prof. Wolfgang Banzhaf		Winner:
Prof. Takashi Ikegami		Winner:
Prof. Randall Beer		Winner:
Prof. Christoph Adami		Winner:
Prof. Steen Rasmussen		Winner:
Prof. Jordan B. Pollack		Winner:
Prof. Margaret Boden		Winner:
Dr. Inman Harvey		Winner:
Dr. Christopher G. Langton
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Distinguished Early-Career Investigator Award - to recognize an individual who is early in their career (typically pre-tenure), but has already made important contributions to the field of Artificial Life.Winner:
Dr. Lana Sinapayen		Winner:
Dr. Jitka Čejková		Winner:
Dr. Xabier Barandiaran		Winner:
Dr. Arend Hintze		Winner:
Dr. Sebastian Risi		Winner:
Dr. Jean-Baptiste Mouret		Winner:
Dr. Jeffrey Clune
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Exceptional Service Award - to recognize an ISAL member who has provided truly exceptional service to the field of Artificial Life by, for example, helping to organize the Artificial Life community, developing valuable resources, or facilitating administration of ISAL.Winner:
ISAL Newsletter		Winner:
Juniper Lovato and Dr. Laurent Hébert-Dufresne		Winner:
Dr. Alexandra Penn		Winner:
Dr. Emily Dolson		Winner:
Dr. Carlos Gershenson		Winner:
Prof. René Doursat		Winner:
Dr. Hiroki Sayama		Winner:
Prof. Mark Bedau		Winner:
Dr. Tim Taylor
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Outstanding Publication of <PREVIOUS YEAR> - to recognize the authors of a publication in any venue during the previous calendar year that shows significant potential to advance the field of Artificial Life.
Winner:
A cellular platform for the development of synthetic living machines
Blackiston, D., Lederer, E., Kriegman, S., Garnier, S., Bongard, J., & Levin, M.
Science Robotics, 6(52), 2021, eabf1571.
Winner 1:
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities.
Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley et al.
Artificial life 26, no. 2 (2020): 274-306

Winner 2:
A scalable pipeline for designing reconfigurable organisms
Sam Kriegman, Douglas Blackiston, Mochael Levin, Josh Bongard
Proceedings of the National Academy of Sciences (PNAS), vol. 117 no. 4, pp. 1853-1859
Winner:
Lenia: Biology of Artificial Life
Bert Wang-Chak Chan
Complex Systems, 28(3), 2019 pp. 251–286
Not awarded this yearWinner:
Droplets As Liquid Robots
Jitka Čejková, Taisuke Banno, Martin M. Hanczyc and František Štěpánek
Artificial Life, Vol. 23, No. 4 (2017), pp. 528-549		Winner:
How Can Evolution Learn?
Richard A. Watson and Eörs Szathmáry
Trends in Ecology and Evolution, Vol. 31, No. 2. (2016), pp. 147-157		Winner:
Robots that can adapt like animals
Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret
Nature, Vol. 521, No. 7553. (28 May 2015), pp. 503-507
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Outstanding Publication of the Decade <5-15 YEARS AGO> - to recognize the authors of an influential publication in any venue from five to fifteen years ago that has had a profound impact on the field of Artificial Life, as evidenced by follow-up research, citations, or attention brought to the field.
Winner:
Fatty acid chemistry at the oil-water interface: Self-propelled oil droplets
Hanczyc, M. M., Toyota, T., Ikegami, T., Packard, N., & Sugawara, T.
Journal of the American Chemical Society, 129(30), 2007, 9386-9391.
Decade 2006-2016
Winner:
Enactive artificial intelligence: Investigating the systemic organization of life and mind
Tom Froese and Tom Ziemke
Artificial Intelligence, Volume 173, Issues 3–4, 2009, Pages 466-500
Decade 2005 - 2015
Not awarded this year		Decade 2004 - 2014
Winner:
The evolutionary origins of modularity”
Jeff Clune, Jean-Baptiste Mouret and Hod Lipson
Proc Royal Soc B, 2013		Decade 2003 - 2013
Winner:
Swarm Chemistry
Hiroki Sayama
Artificial Life, Vol. 15, No. 1 (2009), pp. 105-114		Decade 2002 - 2012
Winner:
Evolving neural networks through augmenting topologies
Kenneth O. Stanley and Risto Miikkulainen
Evolutionary Computation, Vol. 10, No. 2. (2002), pp. 99-127		Decade 2001 - 2011
Winner:
Resilient machines through continuous self-modeling
Josh Bongard, Victor Zykov, and Hod Lipson
Science 314.5802 (2006): 1118-1121
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Education & Outreach Award - to recognize the authors of an outstanding project that either teaches about Artificial Life or uses Artificial Life techniques to teach about another topic, or inspires users to learn more on their own.Winner:
Cross Labs		Winner:
infectiousmatter.com (by Luis Zaman)		Winner:
Scary Beauty / Android Opera (Prof. Takashi Ikegami)		Winner:
@ALifePapers (by Lana Sinapayen)		Winner:
Biological Bits (by Dr. Alan Dorin)		Winner:
Avida-ED (led by Prof. Robert Pennock)		Winner:
Ludobots (by Dr. Joshua Bongard)
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Outstanding Student Publication Award - to recognize a student or postdoc for a paper or other publication that they published while a student; any researcher who is still a student or within approximately three years of graduation is eligible.  This award will be judged by a committee organized by the ISAL student group, ERA (Emerging Researchers In ALife).Winner:
Adaptive Phenotypic Plasticity Stabilizes Evolution in Fluctuating Environments
Lalejini, A., Ferguson, A. J., Grant, N. A., & Ofria, C.
Frontiers in Ecology and Evolution, 9, 2021, 715381.		Winner:
Madhavun Candadai (co-authored with Eduardo Izquierdo)
Sources of predictive information in dynamical neural networks
Scientific Reports 10, 16901 (2020)		Winner:
Anya E. Vostinar (co-authored with Charles Ofria)
Spatial Structure Can Decrease Symbiotic Cooperation
Artificial Life 2019 24:4, 229-249		Winner:
Emily Dolson, Alexander Lalejini, Steven Jorgensen and Charles Ofria
Quantifying the tape of life: Ancestry-based metrics provide insights and intuition about evolutionary dynamics
Proceedings of the Artificial Life Conference 2018, T. Ikegami et al. (eds.), MIT Press, 2018.		Winner:
Referential communication as a collective property of a brain-body-environment-body-brain system: A minimal cognitive model.
Jorge Campos and Tom Froese
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, IEEE Press, pp. 863-870
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