View source for University of California Multi-Campus Complexity Events 2010-2012

[[Category:Major contributors]]
http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291
==Previous years==
*[http://bit.ly/aoAFOE University_of_California_Multi-Campus_Complexity_Events_2005-2006]
*[http://bit.ly/aoAFOE University_of_California_Multi-Campus_Complexity_Events_2006-2007]
*[http://bit.ly/aoAFOE University_of_California_Multi-Campus_Complexity_Events_2007-2008]
*[[University_of_California_Multi-Campus_Complexity_Events_2008-2009]]
*[[University_of_California_Multi-Campus_Complexity_Events_2009-2010]]
[http://annystudio.com/calendars/2010.gif 2010 calendar]
[[webcast test]]
Co-Directors: Douglas R. White and Laurent Tambayong<br> http://bit.ly/8YH2qM - 
[http://intersci.ss.uci.edu/wiki/index.php/University_of_California_Multi-Campus_Complexity_Events_2009-2010 CLICK HERE for past 2009-2010 events.]<br> Our dates are chosen so as not to conflict with the UCLA [http://www.anderson.ucla.edu/x23212.xml Marschak colloquium]
[http://www.timeanddate.com/calendar/index.html?year=2009&country=1 2010-11 Calendar] [http://www.anryhome.com/software/calendars/2010.gif printable] (two saturday 3.5 hour conferences with lunch provided to be scheduled)

==COURSE CREDITS- Grad and Undergrad==
# [[Course:_social_networks_and_complexity]] '''UCI fall:SOC SCI 240A''' (fall 72100 winter 71500) grad and undergrad 1.33 credits per quarter. Instructor Douglas R. White, drwhite@uci.edu. '''Winter SOC SCI 240B, Spring SOC SCI 240C'''
# UCLA fall: Anthro M193/Hum CS M193P (both undergrad) and Anthro 294 (grad). Journal Club, Human Complex Systems Seminar. 1 unit. Instructor: Dwight Read, dread@anthro.ucla.edu and Course Coordinator: John Bragin, jbragin@ucla.edu
# UCSD fall:ANTH 203 "Four-Campus Video conference" seminar (undergrads may also take for credit) Instructor: Geoff Braswell anthro, gbraswel@weber.ucsd.edu

==MEETING TIMES FALL: 1:30-3:20==

==MEETING PLACES==
# UCI: AIRB 3030 UCI (Anteater I&R Bld) '''Soc Sci 240A fall - 240B winter -240C spring''' D.R. White, Bill Alvarez 824-4136
# UCLA f-w-s 285 Powell Library
# UCSD f-w-s UCSD 260 Galbraith Hall '''Anth 203 (G. Algaze) "Four Campus Video Conference" in Human Social Complexity'''

Nonconflicting dates for Marschak talk
October 9? TBA,
October 23? TBA, 
November 6? TBA, 
November 20? TBA, 
December 4? TBA

=Fall Quarter 2010=
Marschak Colloquium dates for 2010-2011 are:
*                 October 1, 15, etc. in Fall 2010
*               January 14, 28, etc. in WInter 2011
*               April 8, 22, etc. in Spring 2011.
==HSC Videoconference Friday Sept 24 2010 Douglas White==
'''[http://intersci.ss.uci.edu/wiki//pub/Causal_Inference_for_Multilevel_Networks_of_Ethnographically_Well-Described-Cases2a.pdf  Causal analysis networks for early ethnographically well-studied populations - pdf of paper]''' - [[Sept24UC4 2010 Camtasia Replay]]  - [http://cast.nacs.uci.edu/tltc/White/HSCV.html Podcast video]
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] final podcast (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291
*[http://intersci.ss.uci.edu/wiki/pub/UCI_Presentation24thSept2010-1b.pptx powerpoint as pptx]
*[http://intersci.ss.uci.edu/wiki/pdf/UCI_Multilevel_Networks_and_WorldEthnography9_2010-Part2b.pdf longer pdf to be broken into Tutorials I, II, and III-IV] 
*[http://intersci.ss.uci.edu/wiki/pdf/UCI_Multilevel_Networks_and_WorldEthnography9_2010-Part2bHandout.pdf 6 slides per page pdf handout for Tutorials I, II, and III-IV] 

:'''Abstract''': Results and strategies are illustrated for using a newly completed R package for cross-cultural or cross-community samples, '''Rccs''', which generates potential causal inferences from coded data for ethnographic studies. It factors out network "peer effects" of spatial and shared cultural history, imputes missing data, and generates networks of potential causal relations among variables. These can be evaluated by Pearl's causal graph theorems for identifiable causal structures. Illustrations are given for a large network of variables from the Standard Cross-Cultural Sample and for a small time-series sample of South Asian villages undergoing transformation from a Jajmani patron-client to market exchange. It will also be applied to Lewis Binford's  (2000) forager sample. Multi-level peer effects can be accommodated in these analyses. *Rccs* is used in UCI undergraduate science writing classes and is open access under the Gnu license for use in university classes worldwide.

*[http://videolectures.net/coa08_pearl_cicl Lecture by Judea Pearl on Causal analysis] - [[Judea Pearl's causal graphs]]
*[[EduMod85]]: a 15-society test case predicting decline of the Indian Jajmani system (market system increase) from improvement of roads

[http://www.techsmith.com/camtasiarelay/tour-record/default.asp recording with Relay: the tour] - [http://replay.uci.edu/About_UCI_Replay/#create_account Get a UCI Camtasia Relay account]

[[University_of_California_Multi-Campus_Complexity_Events_2009-2010#HSC_Videoconference_Friday_Sept_24_2010_Doug_White|Spring 2010 talk]]

==HSC Videoconference Friday Oct 8 2010 Yen-Sheng Chiang==
1:30-3:15 [[Yen-Sheng Chiang]], Asst. Professor, [http://www.faculty.uci.edu/profile.cfm?faculty_id=5667 Sociology], UCI. 
[http://intersci.ss.uci.edu/wiki/ppt/Yen_ShengCross-UC_complexity_seminar.pdf pdf of the ppt]  - [http://cast.nacs.uci.edu/tltc/White/HSCV.html Podcast video]
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] Final podcast (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291

'''Cooperation Dynamics in Networks When Cued by the Structural Attributes of Nodes'''

Recent research endeavors in science investigate how cooperation evolves
in complex networks. In the models, the network is either exogenously
given or is formed endogenously. In either case, actors are modeled to
occupy the nodes, play the prisoner’s dilemma game with their network
neighbors and adapt behavior in reference to either their local network
neighborhood or the whole population. Yet, in these models an actor’s
decision of cooperation or defection in the game is independent of the
network structure. A cooperator, for example, would cooperate
unconditionally with all his network neighbors despite their differences
in network positions. In this talk, I introduce a new direction for
modeling cooperation dynamics in networks where an actor’s decision making
can be cued by the structural attributes of nodes. In the new model,
cooperators are conditional in the sense that they follow some rules that
govern whether they would cooperate or defect dependent on the network
structural properties, such as betweenness, clustering and degree, of the
nodes they occupy as well as their neighbors’. Simulating the evolution of
cooperation across a variety of networks shows that conditional
cooperators who are selective in choosing the recipients of cooperation
based on the cues of nodal attributes increases the pervasiveness of
cooperation across the population.

#'''3030 Anteater I&R Bld (AIRB)''' UCI
#'''285 Powell Library''' UCLA
#'''260 Galbraith Hall''' UCSD
#'''250 Olson Hall''' UC DAVIS [http://cts.ucdavis.edu/ UC Davis classroom technology Services] Bill Sykes Academic Technology (530) 752-2133 ats@ucdavis.edu

==HSC Videoconference Friday Oct 22 2010 Dwight Read==
[[Dwight Read]], Professor of Anthropology, UCLA.  - [http://cast.nacs.uci.edu/tltc/White/HSCV.html Podcast video]
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] Final podcast (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291

'''"Mathematical Modeling of the Logical Structure of Kinship Terminologies"''' 
*[http://intersci.ss.uci.edu/wiki/pdf/Read_UC4KinshipTalk.ppt dynamical ppt],  
*[http://intersci.ss.uci.edu/wiki/pdf/Read_UC4KinshipTalk.pdf pdf of ppt] (faster but less informative)

[http://cast.nacs.uci.edu/tltc/White/Doug_Fall2010.html Streaming video in Flash] - [http://intersci.ss.uci.edu/wiki/pdf/KungSanKinTerms.pdf [[!Kung]] San Kin Terms]


Abstract: Kinship systems in human societies as expressed through kinship terminologies are cultural constructs built over, but not determined by, the biological facts of reproduction.  Historically,  kinship terminologies have been presumed to be a natural taxonomy with kin terms labeling categories of genealogically defined relations,  despite extensive ethnographic evidence to the contrary.  Instead, kinship terminologies are a system of symbols forming a computational system (a kin term space), much like numbers are a computational system of symbols.  Consequently, a terminology has a generative structure and that generative structure can be modeled algebraically.  The algebraic modeling provides a logical account for the properties of kinship terminologies and a way to meaningfully explore structural differences among terminologies.  The idea of a kinship space will be introduced as a way to integrate together the concepts of a family space, a genealogical space and a kin term space.  http://bit.ly/c3sIfe

==HSC Videoconference Friday Nov 5 2010 Cancelled and rescheduled==

=Winter Quarter 2011=
[http://www.timeanddate.com/calendar/?year=2011 2011 calendar]
==Unscheduled as yet George Barnett==
George Barnett, Communications, UCDavis. '''Effects of communication networks on conflict and cooperation'''
==(Winter-Spring Speaker suggestions from UC Davis)==
*Diane Felmlee and Bob Farris--Sociology. They are doing interesting work on network effects on youth violence.
*Bob Huckfeldt--political science. He is doing experimental networks research on cooperation and voting. http://ps.ucdavis.edu/people/faculty/rhuckfeldt/
*George Barnett--communications. He is doing work on the effects of communication networks on conflict and cooperation.
*UCSD

==HSC Videoconference Friday Jan 21 2011 Douglas R. White rescheduled to Feb 18==
UCI students - sorry for the postponement. You can review past speakers as a subject for your paper. For example, we had a talk by at Jeff Brantingham, UCLA Anthropology at http://paleo.sscnet.ucla.edu/
"Simulating the foraging behavior of criminals" (in LA) Our talk is viewable only in Real media  .rm
But a revised version was later published in a 5-page paper at in Pubs of the Natl Academy of Science
http://paleo.sscnet.ucla.edu/ShortEtAl-PNAS-2010.pdf
Other publications of this UCLA group are at
http://paleo.sscnet.ucla.edu/ucmascPubs.htm

==HSC Videoconference Friday Feb 4 2011 Dwight Read==
*Dr. Dwight Read, Chair, IDP in Human Complex Systems
*Dept. of Anthropology and Dept. of Statistics, UCLA
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science](Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291


'''Working Memory Score: Chimpanzees 2, Humans 7''' bitly http://bit.ly/hjioRl

[http://intersci.ss.uci.edu/wiki/pdf/Read_WorkingMemory.pdf A background paper for the talk]

Abstract:
We tend to assume qualitative differences in mental capacities must derive from
qualitative differences along some cognitive dimension. With working memory,
however, the quantitative difference between 2 ± 1 for Pan and 7 ± 2 for Homo sapiens
underscores major qualitative differences in mental capacities between Pan and Homo.
With working memory of 2 ± 1, chimpanzees cannot engage in recursive mental
processes and so language as we know it is closed off to them. Theory of Mind seems to
require more extensive working memory than is available to Pan, hence the repeated
failure to demonstrate Theory of Mind capabilities in Pan. Culturally constructed
systems of kinship, the foundation upon which human forms of human social
organization are based, depend on recursive reasoning and so we do not find the
evolutionary roots of culturally constructed systems of kinship in chimpanzee social
systems. The difference of 5 in the size of working memory, then, has enormous
implications for differences in the cognitive capacities of Pan versus Homo sapiens. In
this talk I will discuss the evidence showing that working memory for Pan is 2 ± 1. Then
I will review the clear relationship we find between the increase in working memory size
when going from Pan to Homo sapiens and changes in the conceptual prerequisites for
the form of lithic artifacts produced in association with our encephalization over the time
period from 2.6 million years ago to the Upper Paleolithic.

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==HSC Videoconference Friday Feb 18 2011  Douglas R. White, Complex Causality research team==
'''Evolutionary Causality: Discussions, Demonstrations, Possibilities''' link: http://bit.ly/qa9xyA - [http://cast.nacs.uci.edu/tltc/White/HSCV.html Podcast video]
:http://www.oit.uci.edu/itunesu/
:[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291



*[http://intersci.ss.uci.edu/wiki/pdf/NSF2011ProposalALLdWhite.pdf NSF 2011 Proposal: Galton’s problem and Evolutionary causal graphs for the SCCS and Binford’s foragers]
:[[R2sls package features]]
*[http://intersci.ss.uci.edu/wiki/pdf/NewsletterNov2010-SocDyn&Complexity4pp.pdf SDC November 2010 Newsletter pdf: Research on Cultural Consequences of Regionally Fluctuating Inequality] - Max Planck, Santa Fe Institute
*[http://intersci.ss.uci.edu/wiki/pdf/PearlRegressionCoefMethod.pdf Pearl 2009: Regression method for a causal graph] - ignore for learning purposes
*Pearl, Judea. 2011. [http://ftp.cs.ucla.edu/pub/stat_ser/r370.pdf  The Causal Foundations of Structural Equation Modeling]. Chapter for R. H. Hoyle (Ed.), Handbook of Structural Equation Modeling. New York: Guilford Press. TECHNICAL REPORT R-370.   - KEY REFERENCE FOR STUDY
*Kyono, Trent Mamoru. 2010. [http://ftp.cs.ucla.edu/pub/stat_ser/r364.pdf Commentator: A Front-End User-Interface Module for Graphical and Structural Equation Modeling]. Technical Report R-364. Cognitive Systems Laboratory. Department of Computer Science. UCLA. - KEY COMPUTATIONAL REFERENCE TO BE INCORPORATED in R [[Commentator code]]
*[[Edu-Mod 2009-10: The Individual Studies]] on ethnographic causality
*[http://www.tc.umn.edu/~alonso/Robins_Epidemiology_2000.pdf Marginal Structural Models and Causal Inference in Epidemiology]. [[James M. Robins]], Miguel Angel Hernan, and Babette Brumback. 2000. Epidemiology, 11(5):550–560. '''Abstract:''' In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces '''marginal structural models''', a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators. 
:Previous talks on causality: [[University_of_California_Multi-Campus_Complexity_Events_2009-2010#HSC_Videoconference_Friday_January_15_2010_Doug_White|Jan 2010]] - [[University_of_California_Multi-Campus_Complexity_Events_2010-2011#HSC_Videoconference_Friday_Sept_24_2010_Douglas_White|Sept 2010]]
:Upcoming talks on causality and artificial intelligence: [[University_of_California_Multi-Campus_Complexity_Events_2010-2011#HSC_Videoconference_Friday_Apr_15_2011_Sander_Greenland.2C_date_not_chosen|Greenland]] - [[University_of_California_Multi-Campus_Complexity_Events_2010-2011#HSC_Videoconference_Friday_Apr_29_2011_Rina_Dechter|Decter]] 

'''Abastract'''. Bring your laptop to explore the intersci wiki pages on Evolutionary Causality for this free-ranging discussion on three campuses by research project and audience members. The project discussion explains how causal analyses for cross-cultural and cross-national studies is brought under the general rubric of Galton’s problem and Evolutionary causal graphs (title of the NSF proposal). We want to make accessible sharable databases, open access software, and experience on how to develop causal analysis research projects. There will be two speakers in spring term on causality and machine learning.

===Demonstration projects and possibilities===
[[Image:CausalGraphEvilEye MoralGods.jpg|thumb|right|100px|SCCS Causal Graph model for Evil Eye and Moral Gods]]
*'''Transformation of Post-independence Indian Villages''' -- [[EduMod86 Jajmani]] (not soluable)
*Gender division of labor in Agriculture [[EduMac-7#B_predictors_of_female_agriculture]] Two variables dropped from Burton, White (1984), three environmental variables added. Now no autocorrelation.
*'''Sexual Division of labor task by task''' -- [[Gender division of labor]] -- Non-causal entailment structure
*'''General polygyny''' versus Plow -- with causal ratios (spurious correlation with WarFight) [[Polygyny Model]] [[Image:PolygynyModel2.png|thumb|right|100px|Polygyny model]]
*'''Foragers, Fractalities and Marriage Networks''' -- see [http://intersci.ss.uci.edu/wiki/pdf/CODEBOOK339ForagersExtended2-7-11.pdf Codebook], Multiple principal component analyses from fully coded data needed for RAuxiliary data missing data imputation. 
*'''Unbalanced exchange, Moral gods, and the Evil eye''' - [[SCCS Causal Graph model for Evil Eye and Moral Gods]]
*'''Cross-national networks and dynamics''' - [[Zeev Maoz]]
*Qualitative data analysis over 50 years for Gwembe Tonga villages [[Thayer Scudder]] - [[November 7-December 7 2009]]
&[[SCCS R package install]]

===How we began and the Causality software with the 186 society [[SCCS]]===
Doug White and Scott White at UCSD, Tolga Oztan at UCI:
:The [http://bit.ly/g18YKA Eff and Dow software (2009)] and classroom use of Two-Stage Least Squares with missing data imputation and controls for nonindependence (Galton's problem).
:[[SCCS_R_package#Easy_new_top_priority_for_printing_output_with_coefficients]]

===How to build new datasets: the 339 society forager database and possibilities for Cross-National Studies===
Doug White; Giorgio Gosti and Tolga at UCI; and Zeev Maoz at UC Davis
:Components of a database 
::Row normalized W matrices (e.g., distance, language, political proximity) used to model nonindependence among cases
::The auxiliary database for imputing missing data
::Variable databases
:::Foragers - [http://intersci.ss.uci.edu/wiki/pdf/CODEBOOK339ForagersExtended2-7-11.xlsx Codebook in Excel]
:::[[Standard Cross-Cultural Sample]] - [[SCCS]] - [http://eclectic.ss.uci.edu/~drwhite/courses/SCCCodes.htm SCCS Codebooks]
:::Cross-Polity databases

===Evolutionary Causality===
Doug & Giorgio, late arrival by Duran
:Duran at UCI & Doug: Forager societies, Fractalities and [http://kinsource.tge-adonis.fr/kinsource/bin/view/KinSources/ Marriage Networks from KinSources]: Research question: If the fractal basis of family size is usually four, but varies up to six in Australia and elsewhere, is it the broader extension of marriage networks that is the cause of this variation?
:[[Ethnographic_Atlas#Old_Numbers.2F_Kinsources|Ethno-Atlas of Coded Data for Kinsources Social Networks]]
:[[Marcus_J._Hamilton#Foragers_and_Fractalities|Foragers and Fractalities]]
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==HSC Videoconference Friday Mar 4 2011 John Bragin==
[[John Bragin]], Lecturer and Graduate Coordinator, Human Complex Systems Program, UCLA [http://ucla.academia.edu/JohnBragin Personal Website] - streaming video at  [http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291

'''Foundations of Agent-Based Modeling: With Some Objections and Their Refutation''' http://bit.ly/hLRoNF
:Abstract: Agent-based simulation modeling is the core methodology of complex systems science. In an agent-based simulation model of a complex adaptive system (in biology or society) each agent is explicitly represented. This includes the perceptual, cognitive and behavioral capacities of each type of agent and the capacities for agents to change in their interactions with other agents and the environment. Agents are autonomous: They act on their own behalf, without direction by a global design or central controller, although they are certainly influenced by other agents and the constraints and opportunities imposed and provided by the global patterns resulting from agent interactions. Although an agent-based simulation model can be written using mathematics, it is more usual today to use a high level programming language consisting of algorithms. Nevertheless, such programs (unlike even the most precise prose) are as rigorous as mathematical proofs, because they must “be complete, consistent and unambiguous if they are to be capable of being executed on a computer. On the other hand, unlike mathematical models, agent-based models can include agents that are heterogeneous in their features and abilities, can model situations that are far from equilibrium, and can deal directly with the consequences of interactions between agents.” (Gilbert, 2008)

*[http://intersci.ss.uci.edu/wiki/pdf/Intro_ABM_Long(clr).pdf powerpoint]

*Bragin (2010): "[http://intersci.ss.uci.edu/wiki/pdf/Bragin(2010-Sep)OutlineCmplxSys.pdf An Outline of Complex Systems Science]".

*Gilbert (2008): "[http://intersci.ss.uci.edu/wiki/pdf/Gilbert(2008)ABMs(Ch1).pdf The Idea of Agent-Based Modeling]", Chapter 1 from his AGENT-BASED MODELS.

*Rauch (2002) "Seeing Around Corners": The Atlantic Online - on what we can learn from artificial societies. http://www.theatlantic.com/past/docs/issues/2002/04/rauch.htm

*Epstein (1999): "[http://intersci.ss.uci.edu/wiki/pdf/Epstein(1999)Agnt-Basd_Mdls_Genr_Soc_Sci.pdf Agent-Based Computational Models And Generative Social Science]"

*Epstein (2006): "[http://intersci.ss.uci.edu/wiki/pdf/Epstein(2006)Fdns_ABM_Genr_Soc_Sci.pdf Remarks on the Foundations of Agent-Based Generative Social Science]", Chapter 34 from the HANDBOOK OF COMPUTATIONAL ECONOMICS, Volume 2. Edited by Leigh Tesfatsion and Kenneth L. Judd.

=Spring Quarter 2011=
March 25 Cesar Chavez day
==Suggested invited speakers for spring, themes of Causality, Complex networks, and others
Maurizio Seracini or Robert Moyzis or Judea Pearl==
*date to be confirmed
*[http://cisa3.calit2.net/people/ Maurizio Seracini]
*
*[[Robert K. Moyzis]] - Professor of Biological Chemistry. Human Genomics Coordinator for the Institute for [http://www.igb.uci.edu/ Genomics and Bioinformatics]. Prior to joining the Faculty at UCI, Director of the Center for Human Genome Studies at Los Alamos National Laboratory, the first Genome Center to be established as part of the Human Genome Project (HGP). [http://www.youtube.com/watch?v=ey_6eQOFWwk YouTube] - [http://isteve.blogspot.com/2007/12/recent-acceleration-of-human-adaptive.html blog]
'''Are We Evolving?'''
*Winter 2011  http://bit.ly/9FMyeA
*[http://www.youtube.com/watch?v=FfPYZM6Avag "Pearl's Contributions to Causality (in 25 minutes or less)"] Christopher R. Hitchcock. [http://www.hss.caltech.edu/people/cricky/profile Professor of Philosophy, CalTech]. 
*[http://www.youtube.com/watch?v=LZ5xDKNamgQ "Causal Model Search: Applications"] Richard Scheines, [http://www.hss.cmu.edu/philosophy/faculty-scheines.php Professor of Philosophy, Machine Learning, and HCII, CalTech]

==HSC Videoconference Friday Apr 15 2011 Complex causality research team==
Doug White, Tolga Oztan, Giorgio Gosti, Duran Bell URL: http://bit.ly/eX2iCX
*'''A synthetic approach to historical causality''' POSTPONED TO FALL (the group will meet at UCI)

==HSC Videoconference Friday Apr 29 2011 Rina Dechter==
*[http://www.ics.uci.edu/~dechter/ Rina Dechter], Donald Bren School of Information and Computer Science, UC-Irvine - http://bit.ly/hk1AMs

*'''Principles for  Reasoning with Probabilistic and Deterministic Graphical models'''
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] final podcast (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291

Abstract. I will describe three classes of algorithms which have become central in Artificial Intelligence and general computer science. These algorithms involve search over graphical models such as constraint networks, Bayesian networks, Markov fields and influence diagrams, which are the most commonly used representational scheme in tasks such as design, scheduling, diagnosis, planning and decision making with applications in
medical diagnosis, man-machine interface, electronic commerce, robot planning, troubleshooting, economical prediction, market analysis, natural language understanding and bio-informatics applications. It is known that all these tasks are computationally hard, and while substantial progress has been made in the last 2-3 decades pushing the computational boundaries far ahead, numerous real-life problems are still out of reach for current technology. Advance in exact or approximate methods is crucial, with potential impact across many computational disciplines.

In this talk I will provide an overview and  describe progress made in the past 5 years on developing algorithms that can adapt to the problem's structure.

More information can be found at:
www.ics.uci.edu/~dechter

Bio:  
[[Rina Dechter]] is a professor of Computer Science at the University of California, Irvine. She received her PhD in Computer Science at UCLA in 1985, a MS degree in Applied Mathematic from the Weizmann Institute and a B.S in Mathematics and Statistics from the Hebrew University, Jerusalem. Her research centers on computational aspects of automated reasoning and knowledge representation including search, constraint processing and probabilistic reasoning. 
Professor Dechter is an author of “Constraint Processing” published by Morgan Kaufmann, 2003,  has authored over 100 research papers, and has served on the editorial boards of: Artificial Intelligence, the Constraint Journal, Journal of Artificial Intelligence Research and Logical Method in Computer Science (LMCS). She was awarded the Presidential Young investigator award in 1991, is a fellow of the American association of Artificial Intelligence, she was a Radcliffe fellow 2005-06 and the “Association of Constraint Programming award (ACP 2007) for research excellence.

==HSC Videoconference Friday May 13 2011 Sander Greenland==
*Sander Greenland, [http://www.ph.ucla.edu/epi/faculty/greenland/index.htm Department of Epidemiology and Department of Statistics], [http://www.ph.ucla.edu/epi/faculty/greenland/index.htm UCLA School of Public Health] http://bit.ly/eGpNk8
 
*Title: '''Causal modeling of bias: A graphical overview of concepts for methods'''
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] seminar podcasts (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291

*[http://intersci.ss.uci.edu/wiki/pdf/Greenland.BiasCausalDiagrams.UCLA13May2011rev.pdf Pdf for slides] -[http://intersci.ss.uci.edu/wiki/pdf/Pearl.Bias-amplifiying_covariates.r356.6-2010.pdf Ref. to Pearl (2010 on p 58 of slides]
*[[Sander_Greenland#Advanced_studies__to_guide_construction_of_semiparametric_structural_models]] 
'''Abstract''': In controversial topics and nonexperimental settings, bias (not random error) is the core obstacle to causal inference. Causal diagrams (graphical causal models, especially directed acyclic graphs or DAGs) provide the easiest way to see bias sources, and provide insights into how to deal with those sources. Because of this property, these diagrams have become part of core epidemiologic methods teaching in several programs, including Harvard and UCLA. This talk will provide an overview to illustrate the power and limitations of causal diagrams in this role. 
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*Sander Greenland, [[Judea Pearl]], and [[James M. Robins]]. 1999 [http://journals.lww.com/epidem/Abstract/1999/01000/Causal_Diagrams_for_Epidemiologic_Research.8.aspx Causal_Diagrams_for_Epidemiologic_Research] Epidemiology 10(1):37-47. 
*Greenland, Sander. 2010. [http://intersci.ss.uci.edu/wiki/pdf/Pearl/22_Greenland.pdf Overthrowing the Tyranny of Null Hypotheses Hidden in Causal Diagrams]. Chapter 22, pp. 365-382, Chapters on Causality in, R. Dechter, H. Geffner, J. Halpern (eds). Heuristics, Probabilities, and Causality: A Tribute to Judea Pearl. College Publications.
*Greenland, Sander, and Judea Pearl. Draft of 30 June 2010. [http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.170.6893&amp;rep=rep1&amp;type=pdf Graphical Analysis of Full and Partial Covariate Adjustment]
:video 2010 [http://www.youtube.com/watch?v=-ZYwaQQpsz0 "Predictive Diagrams: Backing off from Causality in DAGs"]

==HSC Videoconference Friday May 27 2011 Maksim Kitsak==
[[Image:ComplexityFlyer2011may27.png|thumb|400px|right]]
[[Maksim Kitsak]] - [[Cooperative Association for Internet Data Analysis (CAIDA)]] in SDSC at UCSD - http://bit.ly/htv0Ei

'''Title: Do bipartite networks have metric structure?'''  [http://intersci.ss.uci.edu/wiki/pdf/ComplexityFlyer2011may27.pdf Flyer for talk]  See [[UCI iTunesu]] - [http://intersci.ss.uci.edu/wiki/pdf/hms_bipartite_uccomplexity_web.pptx.pdf Pdf of Powerpoint]
*Maksim Kitsak, Dmitri Krioukov, Fragkiskos Papadopoulos, Marian Boguñá, M. Ángeles Serrano, and kc claffy
*[http://itunes.apple.com/us/institution/uc-irvine/id429651611 iTunesu UC_Irvine Social Science] seminar podcasts (Look under Social Sciences for our logo) or try http://itunes.apple.com/us/itunes-u/human-sciences-complexity/id429669291

'''Abstract:'''
Many social, biological and technological systems can be conveniently represented as bipartite networks, consisting of two disjoint sets of elements along with edges connecting only elements from different sets. Many of such systems are characterized by high values of bipartite clustering coefficient. We also find that pairs of elements in these bipartite systems tend to have many common neighbors. We present a natural interpretation of these observations. We suggest that elements of the above bipartite systems exist in underlying metric spaces, such that the observed high clustering is a topological reflection of the triangle inequality, the key property of metric space. We propose a simple stochastic mechanism of formation of bipartite networks embedded in metric spaces. We prove that this mechanism is able to reproduce the observed topological properties of bipartite networks. We also discuss the possibility of constructive embedding of real bipartite systems into metric spaces.

==Should we have a fall focus on games and networks, networks and conflict, network dynamics, business networks?==
Prominent paper on games and networks: please add to the list of possible colloquia topics or speakers
:Ballester, Coralio, Antoni Calvó-Armengol & Yves Zenou, 2005. "[http://www.eecs.northwestern.edu/~nickle/395/keyplayer.pdf Who’s Who in Networks. Wanted: The Key Player]" Econometrika 74(5):1403-1417.
:[[Ranjay Gulati]] Chua Tiampo Professor of Business Administration, Harvard Business School - [http://tinyurl.com/cvqsm3 books and papers].

=Alternation of Friday 2010-2011 time-slots with UCLA Marschak talks=
[http://www.anderson.ucla.edu/x31435.xml Marschak Colloquia, UCLA]
=Academic year 2011-12 UCSD host site at SDSC (DANCES)=
<br>UCSD host site at SDCS
<br>Impromptu organization focusing on research problems
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