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------=_NextPart_000_0058_01C352AB.527F3720 Content-Type: text/plain; charset="US-ASCII" Content-Transfer-Encoding: 7bit *Reminder* - Seminar Friday, July 25, 3:30-5p, Michael*** Parking will be limited, please try to carpool *** REMINDER SEMINAR TODAY ** FRIAM Group Applied Complexity lecture: Friday July 25, 3:30 -5:00 p.m.** Location: Medium Conference Room Topic: Bugs and Fieldwork: Ethnography and Agent-Based Modeling Speaker: Michael Agar Affiliation: Senior Research Scientist, Friends Social Research Center Professor Emeritus, University of Maryland, College Park *** Abstract: *** Ethnographic research, with its century of history in anthropology and sociology, is the only social research that assumes nonlinear dynamic systems, both as research process and research product. Artificial societies, a version of agent-based modeling, simplify and represent just those kinds of social worlds. What sort of conversation can this old mode of research and this new mode of modeling have with each other? First ethnography will be described, on the assumption that most will have had little experience with it. The argument will be that, if you were going to look at a situation with ABM goals in mind, ethnography is the way you'd do it. Next, an artificial society that demonstrates the strengths and pitfalls of tacking back and forth between ethnographic research and an ABM will be presented. (An earlier version is available in Complexity-"Drugmart: Heroin Epidemics as Complex Adaptive Systems," 7 (5):44-52, 2002.) This model results from an NIH funded project to explain illicit drug epidemics. The model tries to explain epidemiologic incidence curves of illicit drug use as an emergent property of autonomous agent experiences and the stories they tell as a result. The argument will be that the ethnography/model link works, sort of. The "sort of" is the most interesting part and it will be explored. Finally, some ways that a conversation between ethnography and artificial societies can be mutually beneficial will be explored. For example, artificial societies need better validation. As another example, ethnographies need to solve the problem of the limited case study. http://www.santafe.edu/sfi/events/seminarAbstracts ------=_NextPart_000_0058_01C352AB.527F3720 Content-Type: text/html; charset="US-ASCII" Content-Transfer-Encoding: quoted-printable <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN"> <HTML><HEAD><TITLE>*Reminder* - Seminar Friday, July 25, 3:30-5p, = Michael</TITLE> <META http-equiv=3DContent-Type content=3D"text/html; = charset=3Dus-ascii"> <STYLE type=3Dtext/css>BLOCKQUOTE { PADDING-BOTTOM: 0px; PADDING-TOP: 0px } DL { PADDING-BOTTOM: 0px; PADDING-TOP: 0px } UL { PADDING-BOTTOM: 0px; PADDING-TOP: 0px } OL { PADDING-BOTTOM: 0px; PADDING-TOP: 0px } LI { PADDING-BOTTOM: 0px; PADDING-TOP: 0px } </STYLE> <META content=3D"MSHTML 6.00.2800.1141" name=3DGENERATOR></HEAD> <BODY> <DIV><SPAN class=3D470204918-25072003><FONT face=3DArial color=3D#0000ff = size=3D2>***=20 Parking will be limited, please try to carpool = *** </FONT></SPAN></DIV> <DIV><SPAN class=3D470204918-25072003><FONT face=3DArial color=3D#0000ff = size=3D2></FONT></SPAN> </DIV> <DIV><SPAN class=3D470204918-25072003> </SPAN><STRONG>REMINDER = SEMINAR=20 TODAY</STRONG></DIV> <DIV><BR></DIV> <DIV>** FRIAM Group Applied Complexity lecture: Friday July 25, 3:30 = -5:00=20 p.m.**<BR><BR>Location: Medium Conference Room<BR><BR>Topic: Bugs and = Fieldwork:=20 Ethnography and Agent-Based Modeling<BR><BR>Speaker: Michael=20 Agar<BR><BR>Affiliation: Senior Research Scientist, Friends Social = Research=20 Center<BR>Professor Emeritus, University of Maryland, College = Park<BR><BR>***=20 Abstract: ***<BR><BR>Ethnographic research, with its century of history = in=20 anthropology and<BR>sociology, is the only social research that assumes=20 nonlinear dynamic<BR>systems, both as research process and research = product.=20 Artificial<BR>societies, a version of agent-based modeling, simplify and = represent just<BR>those kinds of social worlds. What sort of = conversation can=20 this old mode of<BR>research and this new mode of modeling have with = each=20 other?<BR><BR>First ethnography will be described, on the assumption = that most=20 will have<BR>had little experience with it. The argument will be that, = if you=20 were going<BR>to look at a situation with ABM goals in mind, ethnography = is the=20 way you'd<BR>do it. Next, an artificial society that demonstrates the = strengths=20 and<BR>pitfalls of tacking back and forth between ethnographic research = and an=20 ABM<BR>will be presented. (An earlier version is available in=20 Complexity-"Drugmart:<BR>Heroin Epidemics as Complex Adaptive Systems," = 7=20 (5):44-52, 2002.) This<BR>model results from an NIH funded project to = explain=20 illicit drug epidemics.<BR>The model tries to explain epidemiologic = incidence=20 curves of illicit drug<BR>use as an emergent property of autonomous = agent=20 experiences and the stories<BR>they tell as a result. The argument will = be that=20 the ethnography/model link<BR>works, sort of. The "sort of" is the most=20 interesting part and it will be<BR>explored. Finally, some ways that a=20 conversation between ethnography and<BR>artificial societies can be = mutually=20 beneficial will be explored. For<BR>example, artificial societies need = better=20 validation. As another example,</DIV> <DIV>ethnographies need to solve the problem of the limited case=20 study.<BR></DIV> <BLOCKQUOTE cite=3D""=20 = type=3D"cite"> http://www.santafe.edu/sfi/events/seminarAbstracts</B= LOCKQUOTE></BODY></HTML> ------=_NextPart_000_0058_01C352AB.527F3720-- |
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