Alfredo Covaleda,
Bogota, Colombia
Stephen Guerin,
Santa Fe, New Mexico, USA
James A. Trostle,
Trinity College, Hartford, Connecticut, USA
A recent article worth a look over by the journalism community. What we do DOES have impact.
Juan Carlos González-Avella, Mario G. Cosenza, Konstantin Klemm, Víctor M. Eguíluz and Maxi San Miguel (2007) “Information Feedback and Mass Media Effects in Cultural Dynamics” Journal of Artificial Societies and Social Simulation vol. 10, no. 3 9 PDF at http://jasss.soc.surrey.ac.uk/10/3/9.html Received: 11-Jan-2007 Accepted: 18-May-2007 Published: 30-Jun-2007 ________________________________ Abstract We study the effects of different forms of information feedback associated with mass media on an agent-agent based model of the dynamics of cultural dissemination. In addition to some processes previously considered, we also examine a model of local mass media influence in cultural dynamics. Two mechanisms of information feedback are investigated: (i) direct mass media influence, where local or global mass media act as an additional element in the network of interactions of each agent, and (ii) indirect mass media influence, where global media acts as a filter of the influence of the existing network of interactions of each agent. Our results generalize previous findings showing that cultural diversity builds up by increasing the strength of the mass media influence. We find that this occurs independently of the mechanisms of action (direct or indirect) of the mass media message. However, through an analysis of the full range of parameters measuring cultural diversity, we establish that the enhancement of cultural diversity produced by interaction with mass media only occurs for strong enough mass media messages. In comparison with previous studies a main different result is that weak mass media messages, in combination with agent-agent interaction, are efficient in producing cultural homogeneity. Moreover, the homogenizing effect of weak mass media messages is more efficient for direct local mass media messages than for global mass media messages or indirect global mass media influences. Keywords: Agent Based Model, Culture, Dissemination, Mass Media
From Ian Bogost's site, Watercooler Games: http://www.watercoolergames.org/archives/000794.shtml
The New York Times Publishes Our Newsgames May 24, 2007 – by Ian Bogost
Today, one of my videogames is on the front page of the Gray Lady.
Almost four years ago, Gonzalo suggested “newsgames” as a genre that intersects videogames and political cartoons. Last year, my studio Persuasive Games took our own take on this genre with The Arcade Wire series (Airport Security, Oil God, Bacteria Salad, Xtreme Xmas Shopping), published by AddictingGames.com/Shockwave.com. Those games enjoyed considerable success, tallying at least 10 million plays or so. But Shockwave is still a gaming site, reaching gamers, not necessarily reaching ordinary citizens more broadly. And that's what news and editorial should do.
Today, I'm excited to announce that Persuasive Games has a new publishing relationship with The New York Times, in which they will be publishing newsgames we create on their op-ed page, as editorial content, not just as games. This is unprecedented, and at the risk of tooting my own horn, I think it represents another important shift in videogames as a medium. This is news/editorial in videogame form, rather than videogames trying to make news fun. The fact that the Times is often considered the national newspaper of record makes this moment even more notable, and gratifying.
The first game is Food Import Folly. The game is about the experience of extremely limited FDA inspection on food imports, and just what that scarcity of resources actually feels like. To play, you have to be a paid TimesSelect subscriber (NY Times puts all their editorial content behind the TimesSelect subscription wall). There's more info and screenshots on the Persuasive Games website.
Like most of our newsgames, timeliness was an important consideration. Food Import Folly was created in a week's time. Congrats to my team at Persuasive Games for their hard work. And look for more of our newsgames in the newspaper, in the near future.
From All Points Blog
University of Southern California students developed the online game for the Annenburg Center for Communications to teach about the challenges (and partisanness) of redistricting. Along the way players learn that to keep their candidates elected they may need to examine ethical issues. The game is Flash-based.
From the [original News 10] site: The Redistricting Game is designed to educate, engage, and empower citizens around the issue of political redistricting. Currently, the political system in most states allows the state legislators themselves to draw the lines. This system is subject to a wide range of abuses and manipulations that encourage incumbents to draw districts which protect their seats rather than risk an open contest.
So the NYT did backtrack on the percent-of-change error described yesterday without assigning blame. That's fine. But the correction suggests another big story that we have only seen parts of. That is, of all the U.S. presence in Iraq — military and contractors — how many and what proportion are actually on the streets and how many and in what capacity are in support categories.
This weekend, friend-of-the-IAJ Joe Traub sent the following to the editor of the New York Times. Here's the story Joe is talking about: “White House….“
The headline error is bad enough (it's only in the hed, not not in the story) — and should be a huge embarrassment to the NYT. But the error gets compounded because while the Times no longer sets the agenda for the national discussion, it is still thought of (by most?) as the paper of record. Consequently, as other colleagues have pointed out, the reduction percentage gets picked up by other journalists who don't bother to do the math (or who cannot do the math.) See, for example: * CBS News — “Troop Retreat In '08?” — (This video has a shot of the NYT story even though the percentage is not mentioned. Could it be that the TV folks don't think viewers can do the arithmetic?)(NB: We could not yet find on the NPR site the transcript of the radio story that picked up the 50 percent error. But run a Google search with “cut in Troops by 50%” and note the huge number of bloggers who also went with the story without doing the math.)Colleague Steve Doig has queried the reporter of the piece, David Sanger, asking if the mistake is that of the NYT or the White House. No answer yet received, but Doig later commented: “Sanger's story did talk about reducing brigades from 20 to 10. That's how they'll justify the “50% reduction” headline, I guess, despite the clear reference higher up to cutting 146,000 troops to 100,000.”
Either way, it is a serious blunder of a fundamental sort on an issue most grave. It should have been caught, but then most journalists are WORD people and only word people, we guess.
We would also point out the illogical construction that the NYT uses consistently in relaying statistical change over time. To wit: “… could lower troop levels by the midst of the 2008 presidential election to roughly 100,000, from about 146,000…” We wince.
English is read from left to right. Most English calendars and horizontal timelines are read from left to right. When writing about statistical change, the same convention should be followed: oldest dates and data precedes newest or future dates and data. Therefore, this should best be written: “…could lower troop levels from about 146,000 to roughly 100,000 by the midst of the 2008 presidential election.”
Thanks to our friend at the University de Zulia in Maracaibo, Prof. Maria-Isabel Neuman, we just learned about this Rosetta Stone of data visualization. This is a must-see: “A Periodic Table of Visualization Methods.”http://www.visual-literacy.org/pages/documents.htm These guys in Switzerland at the Visual-Literacy Project have pulled together, in a wonderfully coherent fashion, the multiple concepts that many of us have been working on for years. Be sure to also take a look at the paper by Lengler and Eppler at the bottom of the “Maps” page. It's a good, tight explanation of what they are up to. We like their definition:
But we're not so sure that “permanent” is crucial or should even be included. If they are referring to “method,” then that would seem to limit the opportunity for refinements over time. And if they are talking about the resulting displays of data, might not that reduce the possibility of dynamic data displays, say real-time traffic flows or changes in the stock market? Simulations? Oh, well, a refinement ripe for discussion.
No story? Then check out Swivel, a web site rich with data — and the display of data — that you didn't know about and which is pregnant with possibilities for a good news feature. And often a news feature that could be localized.Here, for example, is a posting from the SECRECY REPORT CARD 2005 illustrating the changing trends in the the classification and de-classification of U.S. government data. (You can probably guess the direction of the curves.)
The number of classified documents is steadily increasing, while the number of pages being declassified is dwindling. This data were uploaded by mcroydon.
A number of friends and associates, for whom we have the greatest respect, say this is one of the best, most enriching conferences in the U.S. It is not cheap, but there are vacation condos to be found in the area that would help to make this affordable.
The IAJ plans to be there. Hope to see you there.
We are back with our 4th UCLA Lake Arrowhead Conference on Human Complex Systems. from Wednesday April 25, 2007 through Sunday April 29, 2007.
We look forward to another cross-disciplinary gathering of social scientists who employ cutting-edge agent-based computational modeling and related computational ideas and methods in their research and teaching. As in past years, dozens of presenters from numerous disciplines are presenting. We are also hosting evening panels, a live simulation, and opportunities for networking and relaxation amid gorgeous surroundings.
Advancing Agent Modeling in the Social Sciences The conference is a forum for sharing the most recent advances — in theory, methodology and application – in the area of agent modeling throughout the social sciences (e.g., Anthropology, Communication Studies, Economics, Geography, History, Political Science, Sociology, Urban Planning). We also welcome social scientists in professional schools (e.g., Business, Education, International Relations, Public Health, Public Policy, Social Welfare) and in the public and private sectors. Researchers and theorists in Psychology, Media Studies and social aspects of Cognitive Science, Artificial Intelligence, Robotics and related disciplines also welcome!
For a paper presentation, authors present for 20 minutes and receive an additional 10 minutes for Q&A. We also welcome 90-120 minute symposium proposals consisting of 3-4 individual papers on a related topic of inquiry. Finally, we are open to someone wishing to organize an evening panel discussion on a �hot topic� in agent modeling.
A former student of colleague Steve Ross sends this interesting report on how simulation models can/are being used in the real world:
I’m the communications officer for the International Research Institute for Climate and Society at Columbia University. The IRI specializes in making forecasts of climate for every part of the world by using data from satellites, meteorological stations and proxy records (tree rings, corals, etc) to run models. The models tell us, with varying degrees of certainty, how much off the “norm” rainfall, temperature and humidity will be for a given place in the world. We’re not so much interested in long-term climate change (global warming, sea level rise, etc) as we are in season-to-season changes (e.g. monsoonal patterns, drought, flooding, etc.). And the IRI isn’t a purely academic institution — its main objective is to use the forecasts and climate monitoring to develop and undertake projects that mitigate the effects of climate change in developing countries. We never do this alone: all of our efforts are in collaboration with scientists, policymakers and NGOs in these countries.
Here’s a brief description of some projects we’re currently working on:
*Climate and malaria:* The IRI collects an enormous amount of temperature, rainfall and humidity data for southern Africa. As it it turns out, the presence or absence of malaria in a given region depends strongly on these three climate factors, so scientists here developed a mapping tool that shows the risk of a malaria epidemic for every month of the year in every part of sub-Saharan Africa. We train health workers from countries in this area on how to use the information to adequately prepare for epidemics. (see /http://tinyurl.com/yxzp7t/ )
*Climate and fire-management* Fires in Indonesia damage unique and delicate ecosystems, increase carbon dioxide emissions, and produce noxious smoke and haze that leads to thousands of hospitalizations every year. Since the intensity and duration of these fires depend on the amount of rainfall the region receives every season, the IRI is using its rainfall forecasts to develop an early-warning system that policymakers and NGOs can use for planning purposes. For example, if our models tell us there is a strong chance of drought conditions in the next 3-month period there, our Indonesian partners can take specific actions, such as conserving irrigation water so that the fields where these fires occur aren’t drained completely and therefore aren’t as susceptible to burning. (see /http://tinyurl.com/yjehn6/)
*Index-based weather insurance for farmers*The IRI and the Commodity Risk Management Group at the World Bank are involved in a project to develop insurance contracts that protect Malawi farmers against periodic, crop-destroying droughts. Traditionally, farmers would take out loans to buy seeds at the start of every season. If a drought occurred, the farmers’ crops would die, and they wouldn’t be able to pay back the banks. But under this new program the farmers can purchase an insurance (a very small percentage of the price of the seeds) against crop loss when they buy seeds. If a drought occurs, the farmers get a full or partial payout and can use the money to repay their loans. IRI’s role in this is to use its weather monitoring data for the region to help the local insurance companies develop reliable contracts. The fascinating aspect of this program is that it is completely subsidized by the farmers. (no link available yet)
My role in all this is to make these and other projects known to the public at large. Many of you receiving this email are journalists of one species or another. If you are developing stories or graphics that have to do with climate or earth science, think of me. I’ll put you in touch with experts or send you bucketfuls of GIS and other data.
Francesco FiondellaCommunications Officer International Research Institute for Climate and Society Lamont-Doherty Earth Observatory 61 Route 9W Palisades, NY 10964francesco [at] iri.columbia.edu 1.845.680.4476
FYI, folks:
Prior to 2006, analysts had to make do with increasingly out-of-datedetailed information about households and individuals while they waitedfor the next decennial census. Starting in 2006, this information willbe made available on an annual basis in the ACS.
This course shows what sort of information is included, how to obtainit, and what methodological and sample size issues present themselves.
If you have not made use of similar Census data previously, learn howyou can leverage these improvements in data currency and timeliness foryour projects. If you have used decennial census data before, you willbenefit by learning about the methodological differences between thisSurvey and the decennial census long form – they affect the results andyou may make errors if you don't know how to handle the differences.
Ms. Taeuber, a senior policy advisor at the University of Baltimore'sJacob France Institute, has 30 years of experience at the U.S. CensusBureau, directed the analytic staff for the American Community Survey,and received the Commerce Dept.'s Gold Medal Award for her innovativework on the American Community Survey. She is the author of “TheAmerican Community Survey: Updated Information for America'sCommunities,” and more.
As with all online courses at statistics.com, there are no set hourswhen you must be online; we estimate you will need 7-15 hours per week.
Register: http://www.statistics.com/courses/census
Peter Brucecourses@statistics.com
P.S. Also coming up:
Nov. 3 – Cluster Analysis (useful for customer segmentation)Nov. 17 – How to deal with missing dataNov. 27 – Basic Concepts in Probability and Statistics
statistics.com612 N. Jackson St.Arlington, VA 22201USA