ivoatoken.bib

@article{vanderplas2018understanding,
  title={Understanding the Lomb--Scargle Periodogram},
  author={VanderPlas, Jacob T},
  journal={The Astrophysical Journal Supplement Series},
  volume={236},
  number={1},
  pages={16},
  year={2018},
  publisher={IOP Publishing}
}
@article{milo_2018,
  author = {Milojevi{\'c}, Sta{\v s}a and Radicchi, Filippo and Walsh, John P.},
  title = {Changing demographics of scientific careers: The rise of the temporary workforce},
  volume = {115},
  number = {50},
  pages = {12616--12623},
  year = {2018},
  doi = {10.1073/pnas.1800478115},
  publisher = {National Academy of Sciences}
}

@book{michalski_machine_2013,
	title = {Machine learning: {An} artificial intelligence approach},
	publisher = {Springer Science \& Business Media},
	author = {Michalski, Ryszard S and Carbonell, Jaime G and Mitchell, Tom M},
	year = {2013}
}

@article{nun2015fats,
  title={FATS: Feature Analysis for Time Series},
  author={Nun, Isadora and Protopapas, Pavlos and Sim, Brandon and Zhu, Ming and Dave, Rahul and Castro, Nicolas and Pichara, Karim},
  journal={arXiv preprint arXiv:1506.00010},
  year={2015}
}

@article{miller_systematic_1963,
	title = {Systematic mistake analysis of digital computer programs},
	volume = {6},
	number = {2},
	journal = {Communications of the ACM},
	author = {Miller, Joan C and Maloney, Clifford J},
	year = {1963},
	pages = {58--63}
}

@inproceedings{jazayeri_trends_2007,
	title = {Some trends in web application development},
	booktitle = {Future of {Software} {Engineering}, 2007. {FOSE}'07},
	publisher = {IEEE},
	author = {Jazayeri, Mehdi},
	year = {2007},
	pages = {199--213},
	file = {ACM Full Text PDF:/home/jbcabral/Zotero/storage/BPAQFLE9/Jazayeri - 2007 - Some Trends in Web Application Development.pdf:application/pdf}
}

@article{richards_machine-learned_2011,
	title = {On {Machine}-learned {Classification} of {Variable} {Stars} with {Sparse} and {Noisy} {Time}-series {Data}},
	volume = {733},
	issn = {0004-637X},
	url = {http://stacks.iop.org/0004-637X/733/i=1/a=10},
	doi = {10.1088/0004-637X/733/1/10},
	language = {en},
	number = {1},
	urldate = {2016-11-02},
	journal = {The Astrophysical Journal},
	author = {Richards, Joseph W. and Starr, Dan L. and Butler, Nathaniel R. and Bloom, Joshua S. and Brewer, John M. and {Arien Crellin-Quick} and Higgins, Justin and Kennedy, Rachel and Rischard, Maxime},
	year = {2011},
	pages = {10},
	file = {IOP Full Text PDF:/home/jbcabral/Zotero/storage/DCSPE3F8/Richards et al. - 2011 - On Machine-learned Classification of Variable Star.pdf:application/pdf;IOP Full Text PDF:/home/jbcabral/Zotero/storage/4QD623C8/Richards et al. - 2011 - On Machine-learned Classification of Variable Star.pdf:application/pdf}
}

@article{catelan_vista_2011,
	title = {The {Vista} {Variables} in the {Via} {Lactea} ({VVV}) {ESO} {Public} {Survey}: {Current} {Status} and {First} {Results}},
	shorttitle = {The {Vista} {Variables} in the {Via} {Lactea} ({VVV}) {ESO} {Public} {Survey}},
	url = {http://arxiv.org/abs/1105.1119},
	urldate = {2018-02-14},
	journal = {arXiv:1105.1119 [astro-ph]},
	author = {Catelan, M. and Minniti, D. and Lucas, P. W. and Alonso-Garcia, J. and Angeloni, R. and Beamin, J. C. and Bonatto, C. and Borissova, J. and Contreras, C. and Cross, N. and Dekany, I. and Emerson, J. P. and Eyheramendy, S. and Geisler, D. and Gonzalez-Solares, E. and Helminiak, K. G. and Hempel, M. and Irwin, M. J. and Ivanov, V. D. and Jordan, A. and Kerins, E. and Kurtev, R. and Mauro, F. and Bidin, C. Moni and Navarrete, C. and Perez, P. and Pichara, K. and Read, M. and Rejkuba, M. and Saito, R. K. and Sale, S. E. and Toledo, I.},
	month = may,
	year = {2011},
	note = {arXiv: 1105.1119},
	keywords = {Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
	file = {arXiv\:1105.1119 PDF:/home/jbcabral/Zotero/storage/UX7H4BSD/Catelan et al. - 2011 - The Vista Variables in the Via Lactea (VVV) ESO Pu.pdf:application/pdf;arXiv.org Snapshot:/home/jbcabral/Zotero/storage/NLZ3X8V6/1105.html:text/html}
}

@inproceedings{tufano_when_2015,
	title = {When and {Why} {Your} {Code} {Starts} to {Smell} {Bad}},
	isbn = {978-1-4799-1934-5},
	url = {http://ieeexplore.ieee.org/document/7194592/},
	doi = {10.1109/ICSE.2015.59},
	language = {en},
	urldate = {2018-03-26},
	publisher = {IEEE},
	author = {Tufano, Michele and Palomba, Fabio and Bavota, Gabriele and Oliveto, Rocco and Di Penta, Massimiliano and De Lucia, Andrea and Poshyvanyk, Denys},
	month = may,
	year = {2015},
	pages = {403--414},
	file = {Tufano et al. - 2015 - When and Why Your Code Starts to Smell Bad.pdf:/home/jbcabral/Zotero/storage/8THNIW9V/Tufano et al. - 2015 - When and Why Your Code Starts to Smell Bad.pdf:application/pdf}
}

@misc{noauthor_[1506.00010]_nodate,
	title = {[1506.00010] {FATS}: {Feature} {Analysis} for {Time} {Series}},
	url = {https://arxiv.org/abs/1506.00010},
	urldate = {2018-04-25},
	file = {[1506.00010] FATS\: Feature Analysis for Time Series:/home/jbcabral/Zotero/storage/76K72DWB/1506.html:text/html}
}

@article{de_los_rios_messi_2016,
	title = {The {MeSsI} (merging systems identification) algorithm and catalogue},
	volume = {458},
	issn = {0035-8711},
	url = {https://academic.oup.com/mnras/article/458/1/226/2622523},
	doi = {10.1093/mnras/stw215},
	language = {en},
	number = {1},
	urldate = {2018-04-25},
	journal = {Monthly Notices of the Royal Astronomical Society},
	author = {de los Rios, Martín and R, Domínguez and J, Mariano and Paz, Dante and Merchán, Manuel},
	month = may,
	year = {2016},
	pages = {226--232},
	file = {Snapshot:/home/jbcabral/Zotero/storage/E859QCUH/2622523.html:text/html}
}

@article{kim_package_2016,
	title = {A package for the automated classification of periodic variable stars},
	volume = {587},
	copyright = {© ESO, 2016},
	issn = {0004-6361, 1432-0746},
	url = {https://www.aanda.org/articles/aa/abs/2016/03/aa27188-15/aa27188-15.html},
	doi = {10.1051/0004-6361/201527188},
	language = {en},
	urldate = {2018-04-25},
	journal = {Astronomy \& Astrophysics},
	author = {Kim, Dae-Won and Bailer-Jones, Coryn A. L.},
	month = mar,
	year = {2016},
	pages = {A18},
	file = {Full Text PDF:/home/jbcabral/Zotero/storage/2SCSR8EJ/Kim y Bailer-Jones - 2016 - A package for the automated classification of peri.pdf:application/pdf;Snapshot:/home/jbcabral/Zotero/storage/NFZTMJLH/aa27188-15.html:text/html}
}

@article{vanderplas_astroml:_2014,
	title = {{AstroML}: {Machine} learning and data mining in astronomy},
	shorttitle = {{AstroML}},
	url = {http://adsabs.harvard.edu/abs/2014ascl.soft07018V},
	urldate = {2018-04-25},
	journal = {Astrophysics Source Code Library},
	author = {VanderPlas, Jacob and Fouesneau, Morgan and Taylor, Julia},
	month = jul,
	year = {2014},
	keywords = {Software},
	pages = {ascl:1407.018}
}

@misc{fowler_martin_codesmell_2006,
	type = {blog},
	title = {{CodeSmell}},
	shorttitle = {codesm},
	url = {https://martinfowler.com/bliki/CodeSmell.html},
	abstract = {a bliki entry for CodeSmell},
	urldate = {2018-04-25},
	journal = {martinfowler.com},
	author = {Fowler, Martin},
	month = feb,
	year = {2006},
	file = {Snapshot:/home/jbcabral/Zotero/storage/S3H5CMWR/CodeSmell.html:text/html}
}

@book{fowler_refactoring:_1999,
	title = {Refactoring: improving the design of existing code},
	publisher = {Addison-Wesley Professional},
	author = {Fowler, Martin and Beck, Kent},
	year = {1999}
}

@article{walt_numpy_2011,
	title = {The {NumPy} {Array}: {A} {Structure} for {Efficient} {Numerical} {Computation}},
	volume = {13},
	issn = {1521-9615},
	shorttitle = {The {NumPy} {Array}},
	url = {https://aip.scitation.org/doi/abs/10.1109/MCSE.2011.37},
	doi = {10.1109/MCSE.2011.37},
	number = {2},
	urldate = {2018-04-25},
	journal = {Computing in Science \& Engineering},
	author = {Walt, Stéfan van der and Colbert, S. Chris and Varoquaux, Gaël},
	month = mar,
	year = {2011},
	pages = {22--30},
	file = {Snapshot:/home/jbcabral/Zotero/storage/NGP4LHWI/MCSE.2011.html:text/html}
}

@inproceedings{seabold_statsmodels:_2010,
	title = {Statsmodels: {Econometric} and statistical modeling with python},
	volume = {57},
	booktitle = {Proceedings of the 9th {Python} in {Science} {Conference}},
	publisher = {SciPy society Austin},
	author = {Seabold, Skipper and Perktold, Josef},
	year = {2010},
	pages = {61}
}

@article{jones_scipy:_2014,
	title = {{SciPy}: open source scientific tools for {Python}},
	author = {Jones, Eric and Oliphant, Travis and Peterson, Pearu},
	year = {2014}
}

@article{cook_variable_1995,
	title = {Variable {Stars} in the {MACHO} {Collaboration} {Database}},
	volume = {155},
	issn = {0252-9211},
	url = {https://goo.gl/AF1gYg},
	doi = {10.1017/S0252921100037015},
	language = {en},
	urldate = {2018-04-25},
	journal = {International Astronomical Union Colloquium},
	author = {Cook, Kem H. and Alcock, C. and Allsman, R. A. and Axelrod, T. S. and Freeman, K. C. and Peterson, B. A. and Quinn, P. J. and Rodgers, A. W. and Bennett, D. P. and Reimann, J. and Griest, K. and Marshall, S. L. and Pratt, M. R. and Stubbs, C. W. and Sutherland, W. and Welch, D.},
	year = {1995},
	pages = {221--231},
	file = {Full Text PDF:/home/jbcabral/Zotero/storage/2UTJIYGL/Cook et al. - 1995 - Variable Stars in the MACHO Collaborationa href=.pdf:application/pdf;Snapshot:/home/jbcabral/Zotero/storage/3GKKPNMP/5AA703135CF404CCE0078EE2E623A8D9.html:text/html}
}

@incollection{minniti_mapping_2018,
	series = {Astrophysics and {Space} {Science} {Proceedings}},
	title = {Mapping the {Milky} {Way} in the {Near}-{IR}: {The} {Future} of the {VVV} {Survey}},
	isbn = {978-3-319-67204-5 978-3-319-67205-2},
	shorttitle = {Mapping the {Milky} {Way} in the {Near}-{IR}},
	url = {https://link.springer.com/chapter/10.1007/978-3-319-67205-2_4},
	language = {en},
	urldate = {2018-04-25},
	booktitle = {The {Vatican} {Observatory}, {Castel} {Gandolfo}: 80th {Anniversary} {Celebration}},
	publisher = {Springer, Cham},
	author = {Minniti, Dante},
	year = {2018},
	doi = {10.1007/978-3-319-67205-2_4},
	pages = {63--71},
	file = {Snapshot:/home/jbcabral/Zotero/storage/JXPGF3NA/10.html:text/html}
}

@book{ng_machine_2013,
	title = {Machine {Learning} and {AI} via {Brain} simulations},
	publisher = {Stanford University},
	author = {Ng, Andrew},
	year = {2013}
}

@article{samuel_studies_1959,
	title = {Some studies in machine learning using the game of checkers},
	volume = {3},
	number = {3},
	journal = {IBM Journal of research and development},
	author = {Samuel, Arthur L},
	year = {1959},
	pages = {210--229}
}

@article{robitaille_astropy:_2013,
	title = {Astropy: {A} community {Python} package for astronomy},
	volume = {558},
	journal = {Astronomy \& Astrophysics},
	author = {Robitaille, Thomas P and Tollerud, Erik J and Greenfield, Perry and Droettboom, Michael and Bray, Erik and Aldcroft, Tom and Davis, Matt and Ginsburg, Adam and Price-Whelan, Adrian M and Kerzendorf, Wolfgang E and {others}},
	year = {2013},
	pages = {A33}
}

@inproceedings{kim_-trending_2009,
	title = {De-{Trending} {Time} {Series} for {Astronomical} {Variability} {Surveys}},
	volume = {411},
	booktitle = {Astronomical {Data} {Analysis} {Software} and {Systems} {XVIII}},
	author = {Kim, D-W and Protopapas, Pavlos and Alcock, Charles and Byun, Yong-Ik and Bianco, Federica B},
	year = {2009},
	pages = {247}
}

@article{udalski_optical_2004,
	title = {The optical gravitational lensing experiment. {Real} time data analysis systems in the {OGLE}-{III} survey},
	journal = {arXiv preprint astro-ph/0401123},
	author = {Udalski, Andrzej},
	year = {2004}
}

@misc{noauthor_[1703.09824]_nodate,
	title = {[1703.09824] {Understanding} the {Lomb}-{Scargle} {Periodogram}},
	url = {https://arxiv.org/abs/1703.09824},
	urldate = {2018-04-26},
	file = {[1703.09824] Understanding the Lomb-Scargle Periodogram:/home/jbcabral/Zotero/storage/TVZ3ULAG/1703.html:text/html}
}

@book{press_numerical_2007,
	title = {Numerical recipes 3rd edition: {The} art of scientific computing},
	publisher = {Cambridge university press},
	author = {Press, William H},
	year = {2007}
}

@inproceedings{landsman_idl_1995,
	title = {The {IDL} {Astronomy} {User}'s {Library}},
	volume = {77},
	booktitle = {Astronomical {Data} {Analysis} {Software} and {Systems} {IV}},
	author = {Landsman, WB},
	year = {1995},
	pages = {437}
}

@article{cowling_first_1998,
	title = {The first decade of an undergraduate degree programme in software engineering},
	volume = {6},
	number = {1-4},
	journal = {Annals of Software Engineering},
	author = {Cowling, Anthony J.},
	year = {1998},
	pages = {61--90}
	}
@INPROCEEDINGS{2020ASPC..522..491T,
       author = {{Tollerud}, Erik J.},
        title = "{Community-oriented Programming in Astronomy: Astropy as a Case Study}",
    booktitle = {Astronomical Data Analysis Software and Systems XXVII},
         year = 2020,
       editor = {{Ballester}, Pascal and {Ibsen}, Jorge and {Solar}, Mauricio and {Shortridge}, Keith},
       series = {Astronomical Society of the Pacific Conference Series},
       volume = {522},
        month = apr,
        pages = {491},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020ASPC..522..491T},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@Article{Freeth2021,
author={Freeth, Tony
and Higgon, David
and Dacanalis, Aris
and MacDonald, Lindsay
and Georgakopoulou, Myrto
and Wojcik, Adam},
title={A Model of the Cosmos in the ancient Greek Antikythera Mechanism},
journal={Scientific Reports},
year={2021},
month={Mar},
day={12},
volume={11},
number={1},
pages={5821},
abstract={The Antikythera Mechanism, an ancient Greek astronomical calculator, has challenged researchers since its discovery in 1901. Now split into 82 fragments, only a third of the original survives, including 30 corroded bronze gearwheels. Microfocus X-ray Computed Tomography (X-ray CT) in 2005 decoded the structure of the rear of the machine but the front remained largely unresolved. X-ray CT also revealed inscriptions describing the motions of the Sun, Moon and all five planets known in antiquity and how they were displayed at the front as an ancient Greek Cosmos. Inscriptions specifying complex planetary periods forced new thinking on the mechanization of this Cosmos, but no previous reconstruction has come close to matching the data. Our discoveries lead to a new model, satisfying and explaining the evidence. Solving this complex 3D puzzle reveals a creation of genius---combining cycles from Babylonian astronomy, mathematics from Plato's Academy and ancient Greek astronomical theories.},
issn={2045-2322},
doi={10.1038/s41598-021-84310-w},
url={https://doi.org/10.1038/s41598-021-84310-w}
}

@incollection{swa2017,
    author = {Swade, Doron},
    isbn = {9780198747826},
    title = "{Turing, Lovelace, and Babbage}",
    booktitle = "{The Turing Guide}",
    publisher = {Oxford University Press},
    year = {2017},
    month = {01},
    abstract = "{The principles on which all modern computing machines are based were enunciated more than a hundred years ago by a Cambridge mathematician named Charles Babbage.’ So declared Vivian Bowden—in charge of sales of the Ferranti Mark I computer—in 1953.1 This chapter is about historical origins. It identifies core ideas in Turing’s work on computing, embodied in the realisation of the modern computer. These ideas are traced back to their emergence in the 19th century where they are explicit in the work of Babbage and Ada Lovelace. Mechanical process, algorithms, computation as systematic method, and the relationship between halting and solvability are part of an unexpected congruence between the pre-history of electronic computing and the modern age. The chapter concludes with a consideration of whether Turing was aware of these origins and, if so, the extent—if any—to which he may have been influenced by them. Computing is widely seen as a gift of the modern age. The huge growth in computing coincided with, and was fuelled by, developments in electronics, a phenomenon decidedly of our own times. Alan Turing’s earliest work on automatic computation coincided with the dawn of the electronic age, the late 1930s, and his name is an inseparable part of the narrative of the pioneering era of automatic computing that unfolded. Identifying computing with the electronic age has had the effect of eradicating pre-history. It is as though the modern era with its rampant achievements stands alone and separate from the computational devices and aids that pre-date it. In the 18th century lex continui in natura proclaimed that nature had no discontinuities, and we tend to view historical causation in the same way. Discontinuities in history are uncomfortable: they offend against gradualism, or at least against the idea of the irreducible interconnectedness of events. The central assertion of this chapter is that core ideas evidenced in modern computing, ideas with which Turing is closely associated, emerged explicitly in the 19th century, a hundred years earlier than is commonly credited.}",
    doi = {10.1093/oso/9780198747826.003.0033},
    url = {https://doi.org/10.1093/oso/9780198747826.003.0033},
    
}

@article{GITTER2008529,
title = {Resolving the open source paradox in biotechnology: A proposal for a revised open source policy for publicly funded genomic databases},
journal = {Computer Law & Security Review},
volume = {24},
number = {6},
pages = {529-539},
year = {2008},
issn = {0267-3649},
doi = {https://doi.org/10.1016/j.clsr.2008.09.002},
url = {https://www.sciencedirect.com/science/article/pii/S0267364908001295},
author = {Donna M. {Gitter}},
abstract = {This article contends that the open source data access policy adopted by the International HapMap Project, a large-scale, publicly funded genomic database, fails to protect against the dangers of parasitic patenting, the filing of patent applications that block other users' access to the data. The Article analyzes the shortcomings of the HapMap Project's open source policy and proposes an alternative that preserves some features of the open source approach while providing additional protection against parasitic patenting. Part 2 provides a brief background on the aims and data access policy of the HapMap Project. Part 3 describes the shortcomings of the HapMap data access policy. Part 4 then proposes an alternative data access policy that preserves some features of the open source approach while also providing enhanced protection against parasitic patenting.}}

@article{Hansen2020Book,
	journal={Quarterly Journal of Austrian Economics},
	doi={10.35297/qjae.010044},
	number=4,
	publisher={Mises Institute},
	title={Book Review: “The Bitcoin Standard: The Decentralized Alternative to Central Banking”},
	volume=22,
	author={Hansen, Kristoffer},
	pages={634--641},
	date={2020-03-21},
	year=2020,
	month=3,
	day=21,
}

@article{10.1371/journal.pone.0052669,
    doi = {10.1371/journal.pone.0052669},
    author = {Nagy, Béla AND Farmer, J. Doyne AND Bui, Quan M. AND Trancik, Jessika E.},
    journal = {PLOS ONE},
    publisher = {Public Library of Science},
    title = {Statistical Basis for Predicting Technological Progress},
    year = {2013},
    month = {02},
    volume = {8},
    url = {https://doi.org/10.1371/journal.pone.0052669},
    pages = {1-7},
    abstract = {Forecasting technological progress is of great interest to engineers, policy makers, and private investors. Several models have been proposed for predicting technological improvement, but how well do these models perform? An early hypothesis made by Theodore Wright in 1936 is that cost decreases as a power law of cumulative production. An alternative hypothesis is Moore's law, which can be generalized to say that technologies improve exponentially with time. Other alternatives were proposed by Goddard, Sinclair et al., and Nordhaus. These hypotheses have not previously been rigorously tested. Using a new database on the cost and production of 62 different technologies, which is the most expansive of its kind, we test the ability of six different postulated laws to predict future costs. Our approach involves hindcasting and developing a statistical model to rank the performance of the postulated laws. Wright's law produces the best forecasts, but Moore's law is not far behind. We discover a previously unobserved regularity that production tends to increase exponentially. A combination of an exponential decrease in cost and an exponential increase in production would make Moore's law and Wright's law indistinguishable, as originally pointed out by Sahal. We show for the first time that these regularities are observed in data to such a degree that the performance of these two laws is nearly the same. Our results show that technological progress is forecastable, with the square root of the logarithmic error growing linearly with the forecasting horizon at a typical rate of 2.5},
    number = {2},

}
@InProceedings{10.1007/0-387-34799-2_25,
author="Chaum, David
and Fiat, Amos
and Naor, Moni",
editor="Goldwasser, Shafi",
title="Untraceable Electronic Cash",
booktitle="Advances in Cryptology --- CRYPTO' 88",
year="1990",
publisher="Springer New York",
address="New York, NY",
pages="319--327",
abstract="The use of credit cards today is an act of faith on the p a t of all concerned. Each party is vulnerable to fraud by the others, and the cardholder in particular has no protection against surveillance.",
isbn="978-0-387-34799-8"}

@article{CARBUNAR201116,
title = {Conditional e-payments with transferability},
journal = {Journal of Parallel and Distributed Computing},
volume = {71},
number = {1},
pages = {16-26},
year = {2011},
issn = {0743-7315},
doi = {https://doi.org/10.1016/j.jpdc.2010.07.004},
url = {https://www.sciencedirect.com/science/article/pii/S0743731510001255},
author = {Bogdan Carbunar and Weidong (Larry) Shi and Radu Sion},
keywords = {Conditional digital e-cash},
abstract = {We introduce a novel conditional e-cash protocol allowing future anonymous cashing of bank-issued e-money only upon the satisfaction of an agreed-upon public condition. Payers are able to remunerate payees for services that depend on future, yet to be determined outcomes of events. Moreover, payees are able to further transfer payments to third parties. Once the payment is complete, any double-spending attempt by the payer will reveal its identity; no double spending by any of payees in the payee transfer chain is possible. Payers cannot be linked to payees or to ongoing or past transactions. The flow of cash within the system is thus both correct and anonymous. We discuss several applications of conditional e-cash including online trading of financial securities, prediction markets, and betting systems.}
}
@article{arvindandclark2017,
title = "Bitcoin's academic pedigree",
abstract = "IF YOU HAVE read about bitcoin in the press and have some familiarity with academic research in the field of cryptography, you might reasonably come away with the following impression: Several decades' worth of research on digital cash, beginning with David Chaum,10,12 did not lead to commercial success because it required a centralized, bank-like server controlling the system, and no banks wanted to sign on. Along came bitcoin, a radically different proposal for a decentralized cryptocurrency that did not need the banks, and digital cash finally succeeded. Its inventor, the mysterious Satoshi Nakamoto, was an academic outsider, and bitcoin bears no resemblance to earlier academic proposals.",
author = "Arvind Narayanan and Jeremy Clark",
year = "2017",
month = dec,
doi = "10.1145/3132259",
language = "English (US)",
volume = "60",
pages = "36--45",
journal = "Communications of the ACM",
issn = "0001-0782",
publisher = "Association for Computing Machinery (ACM)",
number = "12",
}
@article{nak2009,
author = {Nakamoto, Satoshi},
year = {2009},
month = {03},
pages = {},
title = {Bitcoin: A Peer-to-Peer Electronic Cash System},
journal = {Cryptography Mailing list at https://metzdowd.com}
}

@BOOK{zw00,
 author = {{Zwillinger}, Dan and {Kokoska}, Stephen},
 title = {ACM Trans. Progam. Lang. Syst.},
 year = {2000},
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 adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@article{artola2020,
author = {{Artola}, Rodolfo and {Beroiz}, Martin and {Cabral}, Juan and {Camuccio}, Richard and {Castillo}, Moises and {Chavushyan}, Vahram and {Colazo}, Carlos and {Cuevas}, Hector and {DePoy}, Darren L. and {D{\'\i}az}, Mario C. and {Dom{\'\i}nguez}, Mariano and {Dultzin}, Deborah and {Fern{\'a}ndez}, Daniela and {Ferreyra}, Antonio C. and {Fonrouge}, Aldo and {Franco}, Jos{\'e} and {Gra{\~n}a}, Dar{\'\i}o and {Girardini}, Carla and {Gurovich}, Sebasti{\'a}n and {Kanaan}, Antonio and {Lambas}, Diego G. and {Lares}, Marcelo and {Hinojosa}, Alejandro F. and {Hinojosa}, Andrea and {Hinojosa}, Americo F. and {L{\'o}pez-Cruz}, Omar and {Macri}, Lucas M. and {Marshall}, Jennifer L. and {Melia}, Raul and {Mendoza}, Wendy and {Castell{\'o}n}, Jos{\'e} L. Nilo and {Padilla}, Nelson and {Perez}, Victor and {Pe{\~n}uela}, Tania and {Rattray}, Wahltyn and {Renzi}, V{\'\i}ctor and {R{\'\i}os-L{\'o}pez}, Emmanuel and {Rivera}, Amelia Ram{\'\i}rez and {Ribeiro}, Tiago and {Rodriguez}, Horacio and {S{\'a}nchez}, Bruno and {Schneiter}, Mat{\'\i}as and {Schoenell}, William and {Starck}, Manuel and {Vrech}, Rub{\'e}n and {Qui{\~n}ones}, Cecilia and {Tapia}, Luis and {Tornatore}, Marina and {Torres-Flores}, Sergio and {Vilchis}, Ervin and {Zadro{\.z}ny}, Adam},
title = {TOROS optical follow-up of the advanced LIGO-VIRGO O2 second observational campaign},
journal = {\mnras},
keywords = {gravitational waves, methods: data analysis, telescopes, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2020,
month = apr,
volume = {493},
number = {2},
pages = {2207-2214},
doi = {10.1093/mnras/stz3634},
archivePrefix = {arXiv},
eprint = {1901.02960},
primaryClass = {astro-ph.HE},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020MNRAS.493.2207A},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}}

@MISC{Lamport1982TheBG,
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  author={Leslie Lamport and Robert E. Shostak and Marshall C. Pease},
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  year={1982},
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  pages={382-401}
 }
@misc{bellm19, 
  authors= {Eric Bellm and Robert Blum and Melissa Graham and Leanne Guy and Željko Ivezić and William O’Mullane and John Swinbank},
  title = {Call for Letters of Intent for Community Alert Brokers},
  url = {https://ls.st/ldm-682},
  year = {2019},
  file = {https://ls.st/ldm-682}
}
@ARTICLE{uniswap2019_angeris,
       author = {{Angeris}, Guillermo and {Kao}, Hsien-Tang and {Chiang}, Rei and {Noyes}, Charlie and {Chitra}, Tarun},
        title = "{An analysis of Uniswap markets}",
      journal = {arXiv e-prints},
     keywords = {Quantitative Finance - Trading and Market Microstructure, Computer Science - Multiagent Systems, Mathematics - Optimization and Control},
         year = 2019,
        month = nov,
          eid = {arXiv:1911.03380},
        pages = {arXiv:1911.03380},
archivePrefix = {arXiv},
       eprint = {1911.03380},
 primaryClass = {q-fin.TR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2019arXiv191103380A},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{kar64,
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        title = "{Transmission of Information by Extraterrestrial Civilizations.}",
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        month = oct,
       volume = {8},
        pages = {217},
       adsurl = {https://ui.adsabs.harvard.edu/abs/1964SvA.....8..217K},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@BOOK{sagan73,
 author = {{Sagan}, Carl and {Agel}, Jerome},
 title = {Carl Sagan's Cosmic Connection},
 year = {1973},
 adsurl = {https://ui.adsabs.harvard.edu/abs/2000cscc.book.....S},
 adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{Haber1991wi,
  author  = {{Haber}, Stuart and {Stornetta},  Scott},
  title    = "{How to time-stamp a digital document}",
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  year = 1991,
  month    =  jan,
  volume   =  3,
  number   =  2,
  pages    = "99--111",
  adsurl = {},
  adsnote = {}
   
}
@article{owidenergy,
    author = {Hannah Ritchie and Max Roser and Pablo Rosado},
    title = {Energy},
    journal = {Our World in Data},
    year = {2022},
    note = {https://ourworldindata.org/energy}
}
@ARTICLE{gray2020,
       author = {{Gray}, Robert H.},
        title = "{The Extended Kardashev Scale}",
      journal = {The Astronomical Journal},
     keywords = {Astrobiology, Search for extraterrestrial intelligence, 74, 2127},
         year = {2020},
        month = {may},
       volume = {159},
       number = {5},
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        pages = {228},
          doi = {10.3847/1538-3881/ab792b},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2020AJ....159..228G},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@ARTICLE{molinaro21,
author = {Molinaro, Marco and Allen, Mark and Bonnarel, François and Genova, Françoise and Demleitner, Markus and Graf, Kay and Morris, Dave and Solano, Enrique and Schaaff, A.},
year = {2021},
month = {11},
pages = {},
title = {Supporting FAIR Principles in the Astrophysics Community: the European Experience}
}
@ARTICLE{2022arXiv220310710O,
       author = {{O'Toole}, Simon and {Tocknell}, James},
        title = "{FAIR standards for astronomical data}",
      journal = {arXiv e-prints},
     keywords = {Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2022,
        month = mar,
          eid = {arXiv:2203.10710},
        pages = {arXiv:2203.10710},
          doi = {10.48550/arXiv.2203.10710},
archivePrefix = {arXiv},
       eprint = {2203.10710},
 primaryClass = {astro-ph.IM},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2022arXiv220310710O},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
@article{zhu2023,
author = {Zhu, Juncen and Cao, Jiannong and Saxena, Divya and Jiang, Shan and Ferradi, Houda},
title = {Blockchain-Empowered Federated Learning: Challenges, Solutions, and Future Directions},
year = {2023},
issue_date = {November 2023},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {55},
number = {11},
issn = {0360-0300},
url = {https://doi.org/10.1145/3570953},
doi = {10.1145/3570953},
abstract = {Federated learning is a privacy-preserving machine learning technique that trains models across multiple devices holding local data samples without exchanging them. There are many challenging issues in federated learning, such as coordinating participants’ activities, arbitrating their benefits, and aggregating models. Most existing solutions employ a centralized approach, in which a trustworthy central authority is needed for coordination. Such an approach incurs many disadvantages, including vulnerability to attacks, lack of credibility, and difficulty in calculating rewards. Recently, blockchain was identified as a potential solution for addressing the abovementioned issues. Extensive research has been conducted, and many approaches, methods, and techniques have been proposed. There is a need for a systematic survey to examine how blockchain can empower federated learning. Although there are many surveys on federated learning, few of them cover blockchain as an enabling technology. This work comprehensively surveys challenges, solutions, and future directions for blockchain-empowered federated learning (BlockFed). First, we identify the critical issues in federated learning and explain why blockchain provides a potential approach to addressing these issues. Second, we categorize existing system models into three classes: decoupled, coupled, and overlapped, according to how the federated learning and blockchain functions are integrated. Then we compare the advantages and disadvantages of these three system models, regard the disadvantages as challenging issues in BlockFed, and investigate corresponding solutions. Finally, we identify and discuss the future directions, including open problems in BlockFed.},
journal = {ACM Comput. Surv.},
month = {feb},
articleno = {240},
numpages = {31},
keywords = {blockchain-based federated learning, federated learning, Blockchain, incentive mechanisms, client selection}
}
@article{wang2022, title={Dynamic Linkage between Bitcoin and Traditional Financial Assets: A Comparative Analysis of Different Time Frequencies}, volume={24}, ISSN={1099-4300}, url={http://dx.doi.org/10.3390/e24111565}, DOI={10.3390/e24111565}, number={11}, journal={Entropy}, publisher={MDPI AG}, author={Wang, Panpan and Liu, Xiaoxing and Wu, Sixu}, year={2022}, month={Oct}, pages={1565} }

@Book{antono_me19,
author={Antonopoulos, Andreas M., author},
title={Mastering Ethereum : building smart contracts and DApps},
year={[2019]},
publisher={1st edition Sebastopol, CA : O{\&}{\#}39;Reilly Media, Inc., [2019] {\textcopyright}2019},
abstract={1 online resource (424 pages)},
url={https://search.library.wisc.edu/catalog/9913039000602121}
}


@Article{levato1976,
author={Levato, HUGO},
title={Scientists in Argentina},
journal={Nature},
year={1976},
month={Aug},
day={01},
volume={262},
number={5570},
pages={642-642},
issn={1476-4687},
doi={10.1038/262642a0},
url={https://doi.org/10.1038/262642a0}
}


@article{owidenergy,
    author = {Hannah Ritchie and Max Roser and Pablo Rosado},
    title = {Energy},
    journal = {Our World in Data},
    year = {2022},
    note = {https://ourworldindata.org/energy}
}

@ARTICLE{2023arXiv230805282J,
       author = {{Jiang}, Erya and {Qin}, Bo and {Wang}, Qin and {Wang}, Zhipeng and {Wu}, Qianhong and {Weng}, Jian and {Li}, Xinyu and {Wang}, Chenyang and {Ding}, Yuhang and {Zhang}, Yanran},
        title = "{Decentralized Finance (DeFi): A Survey}",
      journal = {arXiv e-prints},
     keywords = {Computer Science - Cryptography and Security},
         year = 2023,
        month = aug,
          eid = {arXiv:2308.05282},
        pages = {arXiv:2308.05282},
          doi = {10.48550/arXiv.2308.05282},
archivePrefix = {arXiv},
       eprint = {2308.05282},
 primaryClass = {cs.CR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2023arXiv230805282J},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@book{Alden2023,
  title={Broken Money},
  author={Alden, Lyn},
  year={2023},
  ISBN={979-8-9886663-0-1}
  publisher={Timestamp Press}
}

@book{chomsky2002understanding,
  title={Understanding Power: The Indispensable Chomsky},
  author={Chomsky, Noam and Mitchell, Peter R. and Schoeffel, John},
  isbn={978-1-56584-703-3},
  year={2002},
  publisher={The New Press},
  address={New York}
}