This is offered as part of the University of Manchester‘s “Methods@Manchester” Summer School.
The course website with materials and structure etc. is at: http://cfpm.org/simulationcourse/
For more information about the Summer School as a whole or to register for the course go to:
28 February, 2014
The CPM now a MC member of new COST network on "Peer Review" #cfpm
PEERE-New
Frontiers of Peer Review (COST
Action TD 1306) (2014/2018)
http://www.cost.eu/TD1306
We are one of the UK representatives.
Peer review is a cornerstone of science, whose quality and efficiency depends on a complex, large-scale collaboration process, which is sensitive to motivations, incentives and institutional contexts. Recent proofs of the failures of peer review, due to judgment bias and parochialism and cases of misconduct, have contributed to calls for a reconsideration of the rigour and quality of the process. This Action aims to improve efficiency, transparency and accountability of peer review through a trans-disciplinary, cross-sectorial collaboration. The objectives of this Action are: (i) to analyse peer review in different scientific areas by integrating quantitative and qualitative research and incorporating recent experimental and computational findings; (ii) to evaluate implications of different models of peer review and to explore new incentive structures, rules and measures to improve collaboration in all stages of the peer review process; (iii) to involve science stakeholders in data sharing and testing initiatives, (iv) to define collaboratively a joint research agenda that points to an evidence-based peer review reform. Not only can a better peer review system improve the self- regulation processes of science to benefit all science stakeholders, it can also increase the social recognition and credibility of science in Europe.
Coordinated by Flaminio Squazzoni
http://www.cost.eu/TD1306
We are one of the UK representatives.
Peer review is a cornerstone of science, whose quality and efficiency depends on a complex, large-scale collaboration process, which is sensitive to motivations, incentives and institutional contexts. Recent proofs of the failures of peer review, due to judgment bias and parochialism and cases of misconduct, have contributed to calls for a reconsideration of the rigour and quality of the process. This Action aims to improve efficiency, transparency and accountability of peer review through a trans-disciplinary, cross-sectorial collaboration. The objectives of this Action are: (i) to analyse peer review in different scientific areas by integrating quantitative and qualitative research and incorporating recent experimental and computational findings; (ii) to evaluate implications of different models of peer review and to explore new incentive structures, rules and measures to improve collaboration in all stages of the peer review process; (iii) to involve science stakeholders in data sharing and testing initiatives, (iv) to define collaboratively a joint research agenda that points to an evidence-based peer review reform. Not only can a better peer review system improve the self- regulation processes of science to benefit all science stakeholders, it can also increase the social recognition and credibility of science in Europe.
Coordinated by Flaminio Squazzoni
13 February, 2014
Conference - Models for Real World Policy, London 25th April 2014
Conference – Models for Real World Policy
Date: 25th April 2014 – 9.30-17.30 with drinks receptionVenue: Royal Society, 6-9 Carlton House Terrace, London, SW1Y 5AG
A one day conference for policy professionals to consider how the policy making processes can benefit from new tools and thinking emerging from study of complex social systems involved in real world global challenges.
The event is convened by the four Complexity Science in the Real World projects featured on this website. There will be an opportunity to hear from senior policy figures making use of modelling in their work.
As the projects enter their final phase, this is an opportunity for interaction between academia and policy, building on local, national and international stakeholder engagement that has taken place since the projects started in 2010, to steer the outputs towards real world influence.
The research combines social science with cutting edge science in Maths, Computing, Engineering and Physics to develop models and simulations using an advanced set of techniques. Applications include
- care for an ageing population
- immigration and diversity
- sustainability
- energy
- trade
- security
- crime
- international aid
- employment and voting
Speakers: These will include Prof Bernard Silverman, Chief Scientific Advisor, Home Office and Alec Waterhouse, Head of Modelling Department of Energy and Climate Change (DECC) together with all four project leads, Prof Nigel Gilbert, Sir Alan Wilson, Prof Jane Falkingham and Prof Ed Fieldhouse.
Policy speaker bios
Academic speaker bios
There will also be discussion groups and poster sessions.
Programme: can be viewed here.
Audience: The event will be of interest to senior professionals involved in researching, analysing, drafting and evaluating policies and advising government. They may be working in Government Departments and Bodies, Civil Service, Think Tanks, NGOs, Charities and other intermediaries. It will be especially relevant to those with a cross-cutting remit helping translate new thinking. Potential stakeholders previously unfamiliar with the projects are especially welcome.
Registration: The event is funded by the Engineering and Physical Science Research Council and is free to attend. Lunch and refreshments provided.
To book a place please register online and complete the registration questionnaire
You must register even if you are speaking or running the event so we can gauge the attendees, catering requirements and perform an evaluation. Please let us know as soon as possible if you want to cancel your place or send a substitute, correct delegate packs and catering provisions cannot be guaranteed less than five working before the event.
03 December, 2013
CPM Report 09-201: Relating Financial characterisation of Microfinance Groups to Conventional Social Behaviour
CPM Report No.: 09-201
By: Pablo Lucas
Lucas, Pablo; Relating Financial characterisation of Microfinance Groups and their Conventional Social Behaviour. Second CFPM - ETH EMIL fieldwork report, Manchester, England, March 2009. (Segundo Reporte, Autonomous University of Mexico, PROIMMSE).
Date: March 16th 2009
By: Pablo Lucas
Lucas, Pablo; Relating Financial characterisation of Microfinance Groups and their Conventional Social Behaviour. Second CFPM - ETH EMIL fieldwork report, Manchester, England, March 2009. (Segundo Reporte, Autonomous University of Mexico, PROIMMSE).
Date: March 16th 2009
This second report synthesises results from studying the effects of social conventions within the internal organisation and evolution of micro-finance groups, also known as solidarity groups, at a microfinance institution (MFI) in southern Mexico. According to our publishing agreement, their precise identity and location is omitted. The next section contains interpretations of all collected data and graphs, drawing on answers from the second questionnaire to credit advisors and five financial databases. I thank the MFI director, their team, economist Federico Morales, anthropologist Ignacio García and Chris Catlin, along with CFPM and Swiss Federal Institute of Technology for the support provided for this research. Available at: http://cfpm.org/cpmrep201.html
CfP: 15th International Workshop On Multi-Agent-Based Simulation (MABS 2014), Paris
15th International Workshop On Multi-Agent-Based Simulation (MABS 2014), Paris (France), 5-6th May, 2014
http://www.uv.es/grimo/mabs2014
e-mail: mabs2014@easychair.org
SCOPE
The meeting of researchers from MAS engineering and the social/economic/organizational sciences is extensively recognized for its role in cross-fertilization, and it has undoubtedly been an important source of inspiration for the body of knowledge that has been produced in the MAS area.
The MABS workshop series continues with its goal to bring together researchers interested in MAS engineering, with researchers focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.
This year, in addition to our usual range of topics for discussion, we would like to include a session focussing particularly on issues related to the use of Big Data in MABS. Researchers who are looking at any aspect of using Big Data to build MABS, MABS to improve understanding of Big Data, or related topics are strongly encouraged to make a submission.
TOPICS
The range of technical issues that MABS deals with is diverse and extensive and it includes:
Simulation methodologies:
Standards for MABS.
Methodologies and simulation languages for MABS.
Simulation platforms and tools for MABS.
Visualization and analytic tools.
Approaches for large-scale simulations.
Scalability and robustness in MABS.
Simulation modelling of multidirectional dynamics in complex social systems.
Provenance and ontology driven approaches in building simulations.
Simulation of social and economic behaviour:
Formal and agent models of social behaviour.
Cognitive modelling and social simulation.
Game theory and simulation.
Social structure: social networks and simulating organizations.
Simulating social complexity (e.g. structures and norms, social order, emergence of cooperation and coordinated action, self-organization, the micro-macro link).
Use of qualitative evidence to inform behavioural rules.
Applications:
MABS in environmental modelling.
Agent-based experimental economics.
Participative simulation.
MABS and games.
Big Data and Multi-Agent-Based Simulation:
Data driven simulations.
Real time data processing.
Design and analysis of simulation experiments including uncertainty analysis.
Handling Big Data in MABS including sense making.
SUBMISSION
Review process
MABS welcomes the submission of full papers with preference to the topics listed in the call for papers. All submissions will go through a peer review process, with two or three independent PC members reviewing each submission. Only those deemed to be 1) relevant to the workshop's aims, 2) presenting original work, and 3) of good quality and clarity will be accepted. Following the workshop, participants will be required to revise their papers, taking into account feedback received at the workshop, and then undergo a second review process before publication in the post-proceedings.
Submitting papers
All submissions should be no longer than 12 pages, in PDF format. Authors are required to use Springer LNCS format for proceedings. Eletronic submission will be managed online through the EasyChair system. To register your paper (deadline January 20th, 2014) you need to provide basic information about the submission including its title, abstract, keywords and author(s). You do not need to upload the full PDF for the purpose of paper registration, but the papers full PDF must be uploaded before the paper submission deadline (January 22nd, 2014).
Publication
All accepted papers will be included in the AAMAS 2014 Workshop Proceedings. Following the workshop, participants will be required to revise their papers, which will undergo a second review process before publication in the post-proceedings, as part of the Multi-Agent-Based Simulation Series for Springer-Verlag, Lecture Notes in Artificial Intelligence.
IMPORTANT DATES
Electronic abstract aubmission: January 20th, 2014
Paper submission deadline: January 22nd, 2014
Notification of acceptance: February 19th, 2014
Camera-Ready papers due: March 10th, 2014
Workshop Celebration: May 5-6th, 2014
COMMITTEES
Organization
Emma Norling (Manchester Metropolitan University, UK).
Francisco Grimaldo (Universitat de València, Spain).
Steering Commitee
Frédéric Amblard (University of Toulouse, France).
Jaime Simão Sichman (University of São Paulo, Brazil).
Keiki Takadama (University of Electro-Communications, Japan).
Keith Sawyer (University of North Carolina at Chapel Hill, USA).
Luis Antunes (University of Lisbon, Portugal).
Nigel Gilbert (University of Surrey, UK).
Paul Davidsson (Malmö University, Sweden).
Rosaria Conte (National Research Council, Italy).
Scott Moss (Koblenz-Landau, Germany).
CONTACT
Emma Norling
School of Computing, Mathematics and Digital Technology
John Dalton Building
Manchester Metropolitan University
Chester Street
Manchester
United Kingdom
M1 5GD
Tel: +44 161 247 3884
norling@acm.org
Francisco Grimaldo Moreno
Departament d'Informàtica
Escola Tècnica Superior d'Enginyeria (ETSE)
Universitat de València
Avinguda de la Universitat, s/n
46100 Burjassot-València
Spain
Tel: +34 96 354 44 87 (+34 96 354 45 65)
francisco.grimaldo@uv.es
http://www.uv.es/grimo/mabs2014
e-mail: mabs2014@easychair.org
SCOPE
The meeting of researchers from MAS engineering and the social/economic/organizational sciences is extensively recognized for its role in cross-fertilization, and it has undoubtedly been an important source of inspiration for the body of knowledge that has been produced in the MAS area.
The MABS workshop series continues with its goal to bring together researchers interested in MAS engineering, with researchers focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems.
This year, in addition to our usual range of topics for discussion, we would like to include a session focussing particularly on issues related to the use of Big Data in MABS. Researchers who are looking at any aspect of using Big Data to build MABS, MABS to improve understanding of Big Data, or related topics are strongly encouraged to make a submission.
TOPICS
The range of technical issues that MABS deals with is diverse and extensive and it includes:
Simulation methodologies:
Standards for MABS.
Methodologies and simulation languages for MABS.
Simulation platforms and tools for MABS.
Visualization and analytic tools.
Approaches for large-scale simulations.
Scalability and robustness in MABS.
Simulation modelling of multidirectional dynamics in complex social systems.
Provenance and ontology driven approaches in building simulations.
Simulation of social and economic behaviour:
Formal and agent models of social behaviour.
Cognitive modelling and social simulation.
Game theory and simulation.
Social structure: social networks and simulating organizations.
Simulating social complexity (e.g. structures and norms, social order, emergence of cooperation and coordinated action, self-organization, the micro-macro link).
Use of qualitative evidence to inform behavioural rules.
Applications:
MABS in environmental modelling.
Agent-based experimental economics.
Participative simulation.
MABS and games.
Big Data and Multi-Agent-Based Simulation:
Data driven simulations.
Real time data processing.
Design and analysis of simulation experiments including uncertainty analysis.
Handling Big Data in MABS including sense making.
SUBMISSION
Review process
MABS welcomes the submission of full papers with preference to the topics listed in the call for papers. All submissions will go through a peer review process, with two or three independent PC members reviewing each submission. Only those deemed to be 1) relevant to the workshop's aims, 2) presenting original work, and 3) of good quality and clarity will be accepted. Following the workshop, participants will be required to revise their papers, taking into account feedback received at the workshop, and then undergo a second review process before publication in the post-proceedings.
Submitting papers
All submissions should be no longer than 12 pages, in PDF format. Authors are required to use Springer LNCS format for proceedings. Eletronic submission will be managed online through the EasyChair system. To register your paper (deadline January 20th, 2014) you need to provide basic information about the submission including its title, abstract, keywords and author(s). You do not need to upload the full PDF for the purpose of paper registration, but the papers full PDF must be uploaded before the paper submission deadline (January 22nd, 2014).
Publication
All accepted papers will be included in the AAMAS 2014 Workshop Proceedings. Following the workshop, participants will be required to revise their papers, which will undergo a second review process before publication in the post-proceedings, as part of the Multi-Agent-Based Simulation Series for Springer-Verlag, Lecture Notes in Artificial Intelligence.
IMPORTANT DATES
Electronic abstract aubmission: January 20th, 2014
Paper submission deadline: January 22nd, 2014
Notification of acceptance: February 19th, 2014
Camera-Ready papers due: March 10th, 2014
Workshop Celebration: May 5-6th, 2014
COMMITTEES
Organization
Emma Norling (Manchester Metropolitan University, UK).
Francisco Grimaldo (Universitat de València, Spain).
Steering Commitee
Frédéric Amblard (University of Toulouse, France).
Jaime Simão Sichman (University of São Paulo, Brazil).
Keiki Takadama (University of Electro-Communications, Japan).
Keith Sawyer (University of North Carolina at Chapel Hill, USA).
Luis Antunes (University of Lisbon, Portugal).
Nigel Gilbert (University of Surrey, UK).
Paul Davidsson (Malmö University, Sweden).
Rosaria Conte (National Research Council, Italy).
Scott Moss (Koblenz-Landau, Germany).
CONTACT
Emma Norling
School of Computing, Mathematics and Digital Technology
John Dalton Building
Manchester Metropolitan University
Chester Street
Manchester
United Kingdom
M1 5GD
Tel: +44 161 247 3884
norling@acm.org
Francisco Grimaldo Moreno
Departament d'Informàtica
Escola Tècnica Superior d'Enginyeria (ETSE)
Universitat de València
Avinguda de la Universitat, s/n
46100 Burjassot-València
Spain
Tel: +34 96 354 44 87 (+34 96 354 45 65)
francisco.grimaldo@uv.es
Subscribe to:
Posts (Atom)
Posts
