CoMSES jobs, events and codebase releaseshttps://www.comses.net/2024-03-28T13:55:32.933037+00:00New jobs, events and codebase releases (last 120 days)AgriAdopt v1.0.02024-03-26T09:27:23.318974+00:002024-03-26T12:52:26.598213+00:00karma/users/990/https://www.comses.net/codebases/348dec6a-c9f5-492f-b7c0-9485a3cc6856/releases/1.0.0/The purpose of this model is to project the dynamics of technology adoption of autonomous weeding robots by sugar beet producing farmers in North Rhine-Westphalia (NRW). Moreover, the design of the model serves the purpose to investigate second-order effects of robot adoption on shifts in farm income and on production quantities of main crops produced in North Rhine-Westphalia. One aim is to analyse the impact of technology attributes and costs of pesticides on adoption patterns. AAMAS 2024: Call for Participation (Early Registration: April 11, 2024)2024-03-22T20:49:45.993750+00:002024-03-22T20:49:46.154643+00:00rshukla1202/users/4200/https://www.comses.net/events/720/<p>The 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024) is to be held in Auckland, New Zealand, on May 6-10, 2024. </p>
<p>Registration is now open, and early registration ends on April 11, 2024 (details below).</p>
<p><a href="https://www.aamas2024-conference.auckland.ac.nz/registration/">https://www.aamas2024-conference.auckland.ac.nz/registration/</a></p>
<p>======================</p>
<p>CALL FOR PARTICIPATION</p>
<p>======================</p>
<p>AAMAS 2024 – The 23rd Int. Conf. on Autonomous Agents and Multiagent Systems</p>
<p>Date: 6-10 May 2024</p>
<p>Location: Auckland, New Zealand</p>
<p>Web site: <a href="https://www.aamas2024-conference.auckland.ac.nz/">https://www.aamas2024-conference.auckland.ac.nz/</a></p>
<p>Registration is now open: <a href="https://www.aamas2024-conference.auckland.ac.nz/registration/">https://www.aamas2024-conference.auckland.ac.nz/registration/</a></p>
<p>Early Registration: April 11, 2024</p>
<p>AAMAS is the largest and most influential conference in the area of agents and multiagent systems. The aim of the conference is to bring together researchers and practitioners in all areas of agent technology and to provide a single, high-profile, internationally renowned forum for research in the theory and practice of autonomous agents and multiagent systems. AAMAS is the flagship conference of the non-profit International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS).</p>
<p>== Program ==</p>
<p>The list of accepted papers is available here:</p>
<p><a href="https://www.aamas2024-conference.auckland.ac.nz/accepted/papers/">https://www.aamas2024-conference.auckland.ac.nz/accepted/papers/</a> </p>
<p>The program will feature an exciting set of workshops, tutorials, competitions, and doctoral consortium.</p>
<ul>
<li>
<p>Accepted workshops: <a href="https://www.aamas2024-conference.auckland.ac.nz/accepted/accepted-workshops/">https://www.aamas2024-conference.auckland.ac.nz/accepted/accepted-workshops/</a></p>
</li>
<li>
<p>Accepted tutorials:</p>
</li>
</ul>
<p><a href="https://www.aamas2024-conference.auckland.ac.nz/accepted/tutorials/">https://www.aamas2024-conference.auckland.ac.nz/accepted/tutorials/</a></p>
<ul>
<li>Accepted competitions: <a href="https://www.aamas2024-conference.auckland.ac.nz/accepted/accepted-competitions/">https://www.aamas2024-conference.auckland.ac.nz/accepted/accepted-competitions/</a></li>
</ul>
<p>Details about the keynotes will be published on the conference website as they become available. In addition, the program will feature talks of winners of the IFAAMAS Influential Paper Award and the Victor Lesser Distinguished Dissertation Award.</p>
<p>== Visa, Travel, and Accommodation Information ==</p>
<p>Visa information:</p>
<p><a href="https://www.aamas2024-conference.auckland.ac.nz/attending/visa-information/">https://www.aamas2024-conference.auckland.ac.nz/attending/visa-information/</a></p>
<p>Travel information:</p>
<p><a href="https://www.aamas2024-conference.auckland.ac.nz/attending/travel-information/">https://www.aamas2024-conference.auckland.ac.nz/attending/travel-information/</a></p>
<p>Accommodation information:</p>
<p><a href="https://www.aamas2024-conference.auckland.ac.nz/attending/accommodation/">https://www.aamas2024-conference.auckland.ac.nz/attending/accommodation/</a></p>
<p>Please book accommodation as soon as possible to get the best rates.</p>OSG School 20242024-03-21T19:17:25.115480+00:002024-03-21T19:18:56.178059+00:00charlotte/users/4638/https://www.comses.net/events/719/<p>Could you transform your research with vast amounts of computing?<br>
Learn how this summer at the lovely University of Wisconsin–Madison<br>
Applications are now open! See below for details.</p>
<p>During the School, August 5–9, you will learn to use high-throughput computing (HTC) systems — at your own campus or using the national-scale Open Science Pool — to run large-scale computing applications that are at the heart of today’s cutting-edge science.</p>
<p>Through lectures, discussions, and lots of hands-on activities with experienced OSG staff, you will learn how HTC systems work, how to run and manage lots of jobs and huge datasets to implement a scientific computing workflow, and where to get more information and help.</p>
<p>The school is ideal for:<br>
Researchers (especially graduate students and post-docs) in any research area for which large-scale computing is a vital part of the research process;<br>
Anyone (especially students and staff) who supports researchers who are current or potential users of high-throughput computing;<br>
Instructors (at the post-secondary level) who teach future researchers and see value in integrating high-throughput computing into their curriculum.</p>
<p>People accepted to this program will receive financial support for basic travel and local costs associated with the School.</p>
<p>Applications<br>
Applications are now open. The deadline for applications is Monday, 1 April 2024. Submit your application by then to ensure consideration!<br>
To apply, complete both of the steps below (in parallel, if you like):<br>
Complete the online application form (the link goes to a Qualtrics survey, which is the application): <a href="https://uwmadison.co1.qualtrics.com/jfe/form/SV_e3bMhbSRecLzWxo">https://uwmadison.co1.qualtrics.com/jfe/form/SV_e3bMhbSRecLzWxo</a> <br>
Have someone email a letter of recommendation for you to school@osg<a href="http://-htc.org">-htc.org</a> (ideally PDF or plain text)<br>
For the letter of recommendation, ask someone who knows you professionally — ideally a faculty member or other supervisor. They should clearly identify your name and the “OSG School 2024” in the subject line and letter, so that we can associate your application and letter.</p>
<p>Contact Us<br>
The OSG School is the premier training event of the OSG Consortium and is held annually at UW–Madison.</p>
<p>If you have any questions about the event, feel free to email us: school@osg<a href="http://-htc.org">-htc.org</a></p>Seeking PhD student for White-tailed Deer integrated population modeling2024-03-15T18:36:55.071760+00:002024-03-15T18:36:55.918426+00:00abelsare/users/1853/https://www.comses.net/jobs/625/<p>We are seeking a PhD student to join our team of researchers at Auburn University’s College of Forestry, Wildlife and Environment. We are partnering with the Alabama Department of Conservation and Natural Resources (ADCNR) to develop a modeling, monitoring, and decision-analysis framework for improving deer population management throughout the state of Alabama. The student will be responsible for:</p>
<ol>
<li>Developing and evaluating integrated population modeling approaches to improve deer population estimates by incorporating supplemental data sources (e.g., citizen science data or roadkill reports) with traditional data sources (e.g., game check data and hunter surveys);</li>
<li>Comparing agent-based and matrix-based models for assessing population changes;</li>
<li>Designing decision scenarios and assessing the the tradeoffs of alternative modeling approaches for making informed decisions under these scenarios;</li>
<li>Developing a decision support tool for ADCNR to inform deer management at local and state-wide scales.</li>
</ol>
<p>In a nutshell, we are looking to develop creative, ecologically sound, and scientifically defensible approaches for quantifying deer distributions, population dynamics, and management objectives. The student will be co-advised by Dr. Jonathon Valente (<a href="https://www1.usgs.gov/coopunits/staff/480646">https://www1.usgs.gov/coopunits/staff/480646</a>) and Dr. Aniruddha Belsare (<a href="https://cfwe.auburn.edu/profile/aniruddha-belsare/">https://cfwe.auburn.edu/profile/aniruddha-belsare/</a>). The position is fully funded for up to 5 years, including a ~$30,000 annual stipend, tuition waiver, and subsidized health insurance. The student will be free to develop their own dissertation within the scope of the project, and under the agreement that they will meet the primary objectives outlined above and in the project proposal. Ideally, the student will begin in the fall semester (August 2024) but start dates may be flexible for the appropriate candidate. Prospective candidates should be highly motivated, interested in developing computer-based modeling skills, and have a strong background in ecology, biology, zoology, wildlife, population modeling, or a related field.</p>
<p>Required qualifications<br>
• MS degree in Wildlife, Biology, Ecology, Zoology, Statistics, or another closely related field<br>
• Strong communication skills in oral and written English<br>
• Ability to work independently and as part of an interdisciplinary team<br>
• Self-motivation, a positive attitude, and strong interpersonal skills</p>
<p>Desired qualifications<br>
• Experience presenting and publishing peer-reviewed research<br>
• Experience working with government agencies<br>
• Experience with population modeling, species distribution modeling, Bayesian data analysis, GIS software, and the R statistical programming language</p>
<p>To apply, email BOTH Dr. Jonathon Valente (jjv0016@auburn.edu) and Dr. Aniruddha Belsare (avb0033@auburn.edu) with the subject line “Deer Population PhD.” Combine the following into a single PDF and attach it to your email: (1) a cover letter that states why you are interested in and qualified for the position; (2) a CV; (3) unofficial transcripts; (4) contact information for 3 references; and (5) TOFEL scores if applicable. Applications will be evaluated on a rolling basis and continue until suitable candidates are found. Please feel free to email Dr. Valente or Dr. Belsare with any specific questions in the meantime. More information about our graduate program can be found here: <a href="https://cfwe.auburn.edu/graduate-study/graduate-degrees/">https://cfwe.auburn.edu/graduate-study/graduate-degrees/</a></p>An IBM of a fishing fleet exploiting a pelagic resource and with a fisher management system. A preliminary version. v1.0.02024-03-14T10:10:46.824547+00:002024-03-28T13:55:32.933037+00:00pauljbhart/users/2782/https://www.comses.net/codebases/fb444aab-e3c8-4eaf-90c6-6eacb3208839/releases/1.0.0/A fisher directed management system was describeded by Hart (2021). It was proposed that fishers should only be allowed to exploit a resource if they collaborated in a resource management system for which they would own and be collectively responsible for. As part of the system fishers would need to follow the rules of exploitation set by the group and provide a central unit with data with which to monitor the fishery. Any fisher not following the rules would at first be fined but eventually expelled from the fishery if he/she continued to act selfishly. This version of the model establishes the dynamics of a fleet of vessels and controls overfishing by imposing fines on fishers whose income is low and who are tempted to keep fishing beyond the set quota which is established each year depending on the abundance of the fish stock. This version will later be elaborated to have interactions between the fishers including pressure to comply with the norms set by the group and which could lead to a stable management system.Agent-based tax evasion model for investigating impacts of public disclosure v1.0.02024-03-14T08:08:08.146205+00:002024-03-14T09:03:53.901615+00:00hsano/users/4357/https://www.comses.net/codebases/09c75c33-db33-401b-9abd-0f65219b8bbd/releases/1.0.0/The model explores the impact of public disclosure on tax compliance among diverse agents, including individual taxpayers and a tax authority. It incorporates heterogeneous preferences and income endowments among taxpayers, captured through a utility function that considers psychic costs subtracted from expected pecuniary utility. These costs include moral, reciprocity, and stigma costs associated with norm violations, leading to variations in taxpayers’ risk attitudes and related parameters. The tax authority's attributes, such as the frequency of random audits, penalty rate, and the choice between partial or full disclosure, remain fixed throughout the simulation. Income endowments and preference parameters are randomly assigned to taxpayers at the outset.
Taxpayers maximize their expected utility by reporting income, taking into account tax, penalty, and audit rates. They make annual decisions based on their own and their peers' behaviors from the previous year. Taxpayers indirectly interact at the societal level through public disclosure conducted by the tax authority, exchanging tax information among peers. Each period in the simulation collects data on total reported income, average compliance rates per income group, distribution of compliance rates, counts of compliers, full evaders, partial evaders, and the numbers of taxpayers experiencing guilt and anger. The model evaluates whether public disclosure positively or negatively impacts compliance rates and quantifies this impact based on aggregated individual reporting behaviors.How information propagation in hybrid spaces affects decision-making: using ABM to simulate Covid-19 vaccine uptake v1.0.02024-03-13T23:21:43.271864+00:002024-03-13T23:28:23.070805+00:00junzhimager/users/3926/https://www.comses.net/codebases/4b15c3d7-2819-4c1f-9b82-4a63feb0724c/releases/1.0.0/Abstract: The notion of physical space has long been central in geographical theories. However, the widespread adoption of information and communication technologies (ICTs) has freed human dynamics from purely physical to also relational and cyber spaces. While researchers increasingly recognize such shifts, rarely have studies examined how the information propagates in these hybrid spaces (i.e., physical, relational, and cyber). By exploring the vaccine opinion dynamics through agent-based modeling, this study is the first that combines all hybrid spaces and explores their distinct impacts on human dynamics from an individual’s perspective. Our model captures the temporal dynamics of vaccination progress with small errors (MAE=2.45). Our results suggest that all hybrid spaces are indispensable in vaccination decision making. However, in our model, most of the agents tend to give more emphasis to the information that is spread in the physical instead of other hybrid spaces. Our study not only sheds light on human dynamics research but also offers a new lens to identifying vaccinated individuals which has long been challenging in disease-spread models. Furthermore, our study also provides responses for practitioners to develop vaccination outreach policies and plan for future outbreaks.3rd ModelShare Workshop: Preservation & Publication. 8am (MST), 3pm (UTC), 4pm (CET) Monday March 25th2024-03-13T17:25:50.551978+00:002024-03-14T19:17:55.248572+00:00charlotte/users/4638/https://www.comses.net/events/718/<p>A Panel with Lauren Cadwallader (PLOS) and Lars Nielsen (CERN), moderated by Michael Barton (OMF).<br>
We are happy to announce the third of the ModelShare workshops, which are aimed at developing good practices and recommendations for improving metadata in computational model-sharing and publishing platforms.<br>
Time: 8am (MST), 3pm (UTC), 4pm (CET) Monday March 25th 2024<br>
To attend - please complete this short event registration form: <a href="https://ucsd.zoom.us/meeting/register/tJcvd-GprzMsHtGvnPvHgroR-mk3Y5ldQmm2#/registration">https://ucsd.zoom.us/meeting/register/tJcvd-GprzMsHtGvnPvHgroR-mk3Y5ldQmm2#/registration</a></p>Sandy Beach Visitor Flow: An Agent-Based Model v1.0.02024-03-08T10:13:40.502941+00:002024-03-14T10:13:49.999829+00:00e.bakhshian/users/4024/https://www.comses.net/codebases/b1f59901-a3e1-4759-bb1e-22bea68facc0/releases/1.0.0/
The model is intended to simulate visitor spatial and temporal dynamics, encompassing their numbers, activities, and distribution along a coastline influenced by beach landscape design. Our primary focus is understanding how the spatial distribution of services and recreational facilities (e.g., beach width, entrance location, recreational facilities, parking availability) impacts visitation density. Our focus is not on tracking the precise visitation density but rather on estimating the areas most affected by visitor activity. This comprehension allows for assessing the diverse influences of beach layouts on spatial visitor density and, consequently, on the landscape's biophysical characteristics (e.g., vegetation, fauna, and sediment features).An age and/or gender-based division of labor during the Last Glacial Maximum in Iberia through rabbit hunting v2.0.02024-02-29T11:27:44.540721+00:002024-02-29T11:39:56.046443+00:00samuel_seuru/users/3573/https://www.comses.net/codebases/584b56bd-13b4-4896-9d4b-336777cf2437/releases/2.0.0/
Many archaeological assemblages from the Iberian Peninsula dated to the Last Glacial Maximum contain large quantities of European rabbit (Oryctolagus cuniculus) remains with an anthropic origin. Ethnographic and historic studies report that rabbits may be mass-collected through warren-based harvesting involving the collaborative participation of several persons.
We propose and implement an Agent-Based Model grounded in the Optimal Foraging Theory and the Diet Breadth Model to examine how different warren-based hunting strategies influence the resulting human diets.
Particularly, this model is developed to test the following hypothesis: What if an age and/or gender-based division of labor was adopted, in which adult men focus on large prey hunting, and women, elders and children exploit warrens?
Model validity is measured by comparing the simulated human diet to the human diet observed in the zooarchaeological record.
This is an adapted version of the model developed by Seuru et al., (in press) of human hunting behavior in Iberia during the Last Glacial Maximum. Their model is also based on the model structure developed by Janssen and Hill (2014, 2016) to analyze hunting system among Ache hunter-gatherers and on the model of Wren et al., (2020) of human foraging system in Holocene Cape south coast of South Africa.
Multiple positions at LMU Munich2024-02-28T19:10:38.041559+00:002024-02-28T19:10:38.419549+00:00rshukla1202/users/4200/https://www.comses.net/jobs/624/<p>LMU Munich is seeking to fill several exciting positions around Earth system modeling and land use. See here (or below) for further details and <a href="https://www.geographie.uni-muenchen.de/department/fiona_eng/department/geographie/index.html">https://www.geographie.uni-muenchen.de/department/fiona_eng/department/geographie/index.html</a> for general information on our group. </p>
<p>Postdoc positions (up to 6 years) - scientific researcher for ecosystem-climate interactions:<br>
<a href="https://job-portal.lmu.de/jobposting/d81ba3e3509c37cd93e7510ae4da2f2ee393a388">https://job-portal.lmu.de/jobposting/d81ba3e3509c37cd93e7510ae4da2f2ee393a388</a></p>
<p>Model-data-integration (for two years with option for permanent position):<br>
<a href="https://job-portal.lmu.de/jobposting/baa74d2c0220de9b732c5c7b3d4f8a2ffff1ef600">https://job-portal.lmu.de/jobposting/baa74d2c0220de9b732c5c7b3d4f8a2ffff1ef600</a></p>
<p>PhD position (as part of the Land-Atmosphere Feedback Initiative; deadline soon):<br>
<a href="https://job-portal.lmu.de/jobposting/bfeddb35fb1650c55baf85efd13147d7b2e5a8dd">https://job-portal.lmu.de/jobposting/bfeddb35fb1650c55baf85efd13147d7b2e5a8dd</a></p>
<p>The positions will stay open until filled.</p>
<p>Thanks a lot in advance for your support in passing this on to suitable candidates!</p>
<p>Best,<br>
Julia</p>
<p>ABOUT US:</p>
<p>Ludwig-Maximilians-Universität München is a leading research university in Europe. Since its founding in 1472 it has been committed to the highest international standards of excellence in research and teaching. The Chair for Physical Geography and Land Use Systems (Prof. Julia Pongratz) at LMU’s Department of Geography investigates the interactions between ecosystems and climate, and how these are altered by the anthropogenic use of land. Our group develops and applies the latest generation of land-use emission, vegetation and Earth system models and integrates them with observational data. Key research questions are the fate of ecosystems under the pressures of land-use and climate change, Earth system feedbacks via energy, water and biogeochemical cycles, and the role of vegetation and soils for greenhouse gas emissions reduction and CO2 removals in support of the Paris Agreement. The team is strongly involved in large national and international collaborations such as the Global Carbon Project, CMIP, IPCC, CDRterra, Horizon Europe projects and the national Earth System Modeling Strategy (natESM) [1].<br>
[1] <a href="https://www.globalcarbonproject.org/">https://www.globalcarbonproject.org/</a> - <a href="https://www.wcrp-climate.org/wgcm-cmip">https://www.wcrp-climate.org/wgcm-cmip</a> - <a href="https://www.ipcc.ch/assessment-report/ar6/">https://www.ipcc.ch/assessment-report/ar6/</a> - <a href="https://cdrterra.de/en">https://cdrterra.de/en</a> - <a href="https://www.nat-esm.de/">https://www.nat-esm.de/</a></p>
<p>We have several positions available:</p>
<p>Scientific researcher (m/f/x) for ecosystem-climate interactions <br>
YOUR TASKS AND RESPONSIBILITIES:</p>
<p>The scientific researcher is expected to conduct innovative research. Possible research topics include own model simulations and integration with Earth observations to understand the ecosystem response to future land-use change and assess feedbacks with the changing climate; further developments in our land-use emission model BLUE towards a terrestrial carbon cycle model; and contribution to an interdisciplinary assessment of carbon dioxide removal methods. It is not necessary (or expected) that the applicant works on all these topics. Instead, it is intended that one of them should become a main focus area for the applicant; priorities will depend on the interests of the applicant, the development of the research field and success in related research proposals by the working group. <br>
In all cases, tasks will be to<br>
· advance the field of ecosystem-climate interactions and ecosystem modeling<br>
· contribute to a better understanding of ecosystem-climate interactions and/or provide research results that are relevant for decision-making in support of sustainable land use and climate neutrality<br>
· collaborate with other members of our group and other research institutions, with the option to co-supervise Bachelor, Master and Ph.D. students<br>
· take a leading role in the development of scientific publications<br>
· contribute to scientific outreach activities<br>
YOUR QUALIFICATIONS:</p>
<p>· a PhD in a natural or physical science subject (geography, environmental science, ecology, physics or similar)<br>
· good programming skills (such as python or R)<br>
· excellent communication skills in English (our working language), proven also by scientific publications<br>
· Training or experience in Earth system or carbon cycle modeling is advantageous, but not essential.</p>
<p>BENEFITS:</p>
<p>· the chance to be part of a dynamic team working at the frontier of Earth system science <br>
· E13 TV-L position, commensurate with work experience, for three years starting May 2024 or soon thereafter, with the possibility to extend to a maximum of six years, based on performance, and to acquire a postdoctoral lecturer qualification (“Habilitation”). In the latter case, a contribution to teaching in the study programs of the Department of Geography is expected.<br>
· career development through the LMU qualification program</p>
<p>· a stimulating working environment at one of Germany’s top-ranked universities. Our institute is located in the centre of the vibrant and internationally diverse city of Munich with excellent public transportation links.</p>
<p>CONTACT:</p>
<p>Please send an application outlining your fit for the position (including a cover letter, a curriculum vitae, copies of scientific degrees, and the names and contact information of two references) by e-mail (one PDF-attachment with max. 5 MB including all documents) with subject “SciRes-2024LMU” to <a href="http://climate.jobs">climate.jobs</a>@geographie.uni<a href="http://-muenchen.de">-muenchen.de</a>. Deadline for application is March 18, 2024. For further information please contact Prof. Dr. Julia Pongratz (julia.pongratz@lmu.de).</p>
<p>Scientific programmer (m/f/x) for model-data integration<br>
(for two years with option for permanent position)<br>
YOUR TASKS AND RESPONSIBILITIES:</p>
<p>Models are our main tool to project how ecosystems and climate evolve. But a key driver – the vast usage of land through agriculture, forestry and urbanization – is still lacking substantial detail in these models. This impairs our fundamental understanding of the interactions of humans, land, and climate, and is also critical as models are increasingly guiding political decision-making on land-use and climate to limit global warming. You can contribute to building the next generation of climate models, working at the intersection of numerical modeling, high-performance computing, and large-scale data analysis. You will contribute to strategic decision-making as well as to concrete design and implementation of land-use processes in our models. You will work closely with the other researchers in our group, and with external partners, e.g., in natESM, to align the group’s developments with the national and international modeling landscape. While the focus will adjust over the years with the development of the research field and success in related research proposals by our working group, it currently lies on the Earth system model ICON-ESM and its land component JSBACH4 as well as the land-use emission model BLUE, which integrates a range of Earth observational data.<br>
Further tasks will be to</p>
<p>· support team members in model development and setup of simulations, and convey good scientific programming skills to the team members<br>
· contribute to scientific publications and scientific outreach activities<br>
· contribute to writing proposals that advance the field of Earth system and ecosystem modeling<br>
· do some teaching in the study programs of the Department of Geography<br>
YOUR QUALIFICATIONS:</p>
<p>· a strong interest in climate and sustainability science<br>
· a PhD in a natural or mathematical science subject (computer sciences, geography, mathematics or similar)<br>
· very good programming skills, ability to work on high-performance computing systems and with large datasets<br>
· excellent communication skills in English (our working language), proven also by scientific publications<br>
· high communicative skills, high independence and proven ability to structure complex processes and efficiently finish tasks<br>
BENEFITS:</p>
<p>· the chance to be part of a dynamic team working at the frontier of Earth system science <br>
· Initially E13 TV-L position, commensurate with work experience, for two years starting June 2024 or soon thereafter. If the candidate’s performance is satisfying it is intended to make the position permanent. A change to civil servant status (A13) is possible under certain conditions, a later promotion up to A14 is feasible. <br>
· career development through the LMU qualification program<br>
· a stimulating working environment at one of Germany’s top-ranked universities. Our institute is located in the centre of the vibrant and internationally diverse city of Munich with excellent public transportation links.</p>
<p>CONTACT:</p>
<p>Please send an application outlining your fit for the position (including a cover letter, a curriculum vitae, copies of scientific degrees, and the names and contact information of two references) by e-mail (one PDF-attachment with max. 5 MB including all documents) with subject “ModDat-2024LMU” to <a href="http://climate.jobs">climate.jobs</a>@geographie.uni<a href="http://-muenchen.de">-muenchen.de</a>. Deadline for application is March 27, 2024. For further information please contact Prof. Dr. Julia Pongratz (julia.pongratz@lmu.de).</p>
<p>Doctoral researcher (m/f/x) assessing scale questions in land-atmosphere modeling <br>
YOUR TASKS AND RESPONSIBILITIES:</p>
<p>The doctoral researcher will be part of the Land-Atmosphere Feedback Initiative (LAFI, see below), a new Research Unit funded by the German Research Foundation (DFG). At LMU we will address scale interactions with the overall aim to substantially improve our understanding of land-atmosphere exchange concerning the question how relevant it is to resolve land-surface heterogeneity that is not resolved in global Earth system models, despite these models’ application to rather small-scale problems like impacts of land-use decisions on regional climate. We will draw on high-resolution large-eddy modeling with ICON to bridge these scales. The doctoral researcher will<br>
· evaluate and improve an advanved land surface model in atmospheric simulations at hectometer scale<br>
· run and evaluate this model for Central European sites, in collaboration with observational partners and complementary land modeling approaches in LAFI, and test various ways of representing land heterogeneity<br>
· take a leading role in the development of scientific publications on water, energy and carbon fluxes comparing large-eddy and Earth system model output<br>
YOUR QUALIFICATIONS:</p>
<p>· a MSc in a natural or physical science subject (geography, meteorology, physics or similar),<br>
· good programming skills (such as fortran, python),<br>
· excellent communication skills in English (our working language)<br>
· Training or experience in atmosphere, vegetation or climate modeling is advantageous, but not essential. </p>
<p>BENEFITS:</p>
<p>· the chance to be part of a dynamic team working at the frontier of climate science. <br>
· A 75% E13 TV-L position, commensurate with work experience, for four years starting April 2024 or soon thereafter,<br>
· career development through the LMU qualification program,<br>
· a stimulating working environment at one of Germany’s top-ranked universities, in the vibrant and internationally diverse city of Munich. Our institute is located in the centre of Munich with excellent public transport links.</p>
<p>CONTACT:</p>
<p>Please send an application outlining your fit for the position (including a cover letter, a curriculum vitae, copies of scientific degrees, and the names and contact information of two references) by e-mail (one PDF-attachment with max. 5MB only including all documents) with subject “LAFI-2024” to <a href="http://climate.jobs">climate.jobs</a>@geographie.uni<a href="http://-muenchen.de">-muenchen.de</a>. Deadline for application is February 28, 2024. For further information please contact Prof. Dr. Julia Pongratz (julia.pongratz@lmu.de) or Prof. Dr. Mirjana Sakradzija (m.sakradzija@lmu.de).</p>
<p>ABOUT THE LAFI PROJECT:</p>
<p>The quality of weather forecasts, seasonal simulations, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables related to the exchange of momentum, energy, and mass. Significant challenges persist in understanding processes and feedbacks, which this initiative will address.</p>
<p>The Land-Atmosphere Feedback Initiative (LAFI) is an interdisciplinary consortium, led by the University of Hohenheim, of researchers from atmospheric, agricultural, and soil sciences as well as from bio-geo-physics, hydrology, and neuroinformatics proposing a novel combination of advanced research methods. The overarching goal of LAFI is to understand and quantify L-A feedbacks via unique synergistic observations and model simulations from the micro-gamma (» 2 m) to the meso-gamma (» 2 km) scales across diurnal to seasonal time scales.</p>
<p>For all positions: Handicapped persons with comparable qualifications receive preferential status. We encourage female candidates to apply.</p>The Viability of the Social-Ecological Agroecosystem (ViSA) Spatial Agent-based Model v2.0.02024-02-27T11:43:37.235664+00:002024-03-25T17:22:04.081870+00:00mostafa.shaaban/users/2278/https://www.comses.net/codebases/f3df5907-e608-40bb-b9bd-fae88d0ef064/releases/2.0.0/ViSA 2.0.0 is an updated version of ViSA 1.0.0 aiming at integrating empirical data of a new use case that is much smaller than in the first version to include field scale analysis. Further, the code of the model is simplified to make the model easier and faster. Some features from the previous version have been removed.
It simulates decision behaviors of different stakeholders showing demands for ecosystem services (ESS) in agricultural landscape. It investigates conditions and scenarios that can increase the supply of ecosystem services while keeping the viability of the social system by suggesting different mixes of initial unit utilities and decision rules.Evaluate government policies for farmers’ adoption and synergy in improving irrigation systems v6.2.22024-02-25T17:53:32.987456+00:002024-02-25T18:02:12.443302+00:00amir7/users/4055/https://www.comses.net/codebases/8abd2093-0abf-4198-bb21-1d447b3f488b/releases/6.2.2/The ABM model is designed to model the adaptability of farmers in DTIM. This model includes two groups of farmers and local government admins agents. Farmers with different levels, with low WP of DTIM, are looking for economic benefits and reduced irrigation and production costs. Meanwhile, the government is looking for strategic goals to maintain water resources' sustainability. The local government admins employ incentives (subsidies in this study) to encourage farmers to DTIM. In addition, it is used as a tool for supervision and training farmers' performance. Farmers are currently harvesting water resources with irrigation systems and different levels of technology, and they intend to provide short-term benefits. Farmers adjust the existing approach based on their knowledge of the importance of DTIM and propensity to increase WP and cost-benefit evaluation. DTIM has an initial implementation fee. Every farmer can increase WP by using government subsidies. If none of the farmers create optimal use of water resources, access to water resources will be threatened in the long term. This is considered a hypothetical cost for farmers who do not participate in DTIM. With DTIM, considering that local government admins’ facilities cover an essential part of implementation costs, farmers may think of profiting from local government admins’ facilities by selling that equipment, especially if the farmers in the following conditions may consider selling their developed irrigation equipment. In this case, the technology of their irrigation system will return to the state before development.
- When the threshold of farmers’ propensity to DTIM is low (for example, in the conditions of scarcity of access to sufficient training about the new irrigation system or its role in reducing the cost and sustainability of water resources)
- When the share of government subsidy is high, and as a result, the profit from the sale of equipment is attractive, especially in conditions of inflation.
- Finally, farmers’ honesty threshold should be reduced based on the positive experience of profit-seeking and deception among neighbors.
Increasing the share of government subsidies can encourage farmers to earn profits. Therefore, the government can help increase farmers’ profits by considering the assessment teams at different levels with DTIM training . local government admins evaluations monitor the behavior of farmers. If farmers sell their improved irrigation system for profit, they may be deprived of some local government admins’ services and the possibility of receiving subsidies again. Assessments The local government admins can increase farmers' honesty. Next, the ABM model evaluates local government admins policies to achieve a suitable framework for water resources management in the Miandoab region. The Megafauna Hunting Pressure Model v1.0.02024-02-16T21:45:04.343864+00:002024-02-16T21:53:03.393914+00:00iullah/users/1937/https://www.comses.net/codebases/d42eac84-ac76-43f7-8c14-5f5cc5fbf7f8/releases/1.0.0/The Megafaunal Hunting Pressure Model (MHPM) is an interactive, agent-based model designed to conduct experiments to test megaherbivore extinction hypotheses. The MHPM is a model of large-bodied ungulate population dynamics with human predation in a simplified, but dynamic grassland environment. The overall purpose of the model is to understand how environmental dynamics and human predation preferences interact with ungulate life history characteristics to affect ungulate population dynamics over time. The model considers patterns in environmental change, human hunting behavior, prey profitability, herd demography, herd movement, and animal life history as relevant to this main purpose. The model is constructed in the NetLogo modeling platform (Version 6.3.0; Wilensky, 1999).Short course on agent-based modelling (Steve Railsback and Volker Grimm)2024-02-16T09:48:27.290928+00:002024-02-16T09:48:27.683739+00:00volker.grimm/users/14/https://www.comses.net/events/717/<p>The course will be at the University of Łódź, Poland. We will emphasize the entire modeling process, from determining what should and should not be in a model to programming, using NetLogo, and analyzing models and developing theory. The course is organized by Physalia; further information and registration is at their web site (see below).</p>
<p>The instructors are Steve Railsback and Volker Grimm.</p>Agent-Based Ramsey growth model with endogenous technical progress (ABRam-T) v1.1.02024-02-14T10:24:22.809902+00:002024-02-19T09:04:33.078856+00:00as.figueroa/users/4546/https://www.comses.net/codebases/0d2d9f03-e579-4d59-bd9a-35be1439f8ed/releases/1.1.0/The Agent-Based Ramsey growth model is designed to analyze and test a decentralized economy composed of utility maximizing agents, with a particular focus on understanding the growth dynamics of the system. We consider farms that adopt different investment strategies based on the information available to them. The model is built upon the well-known Ramsey growth model, with the introduction of endogenous technical progress through mechanisms of learning by doing and knowledge spillovers.Postdoc Modeling Open Source Software Communities2024-02-08T23:29:54.225651+00:002024-02-08T23:29:54.367085+00:00marcojanssen/users/4/https://www.comses.net/jobs/623/<p>POSITION DESCRIPTION<br>
We are looking to recruit a postdoctoral scholar for a two-year position in an interdisciplinary NSF-funded research project (#2020751). A premise of the work is that open source software (OSS) communities are model systems for subjects including self-governing institutions, social networks, organization theory, and collective action. Data include complete longitudinal records of code and all internal communications for hundreds of autonomous organizations. Major methodological opportunities are at some intersections of network science, longitudinal data, machine learning, NLP and LLM, and computational modeling.</p>
<p>We are seeking candidates representing interdisciplinary computational social science, or a computer/information scientist interested in speaking to general audiences. The scholar will work within an interdisciplinary team representing political science, computer science, anthropology, computational social science, policy analysis, and OSS practitioners at UC Davis, UMass Amherst, University of Washington, and in the not-for-profit sector. The position is based in Davis, CA.</p>
<p>The scholar will be coming into the project in year 3 of 5 or 6, and will have substantial freedom to creatively bring together tools, datasets, and theories from the initial phase of this project toward questions with general appeal. Their duties may include:</p>
<p>Theory and hypotheses building with a cross-disciplinary, multi-campus team;<br>
Quantitative analysis, both creating entire analysis pipelines and advising faculty and graduate students on theirs;<br>
Collaborative paper and project report writing;<br>
Coordination of UMass and UC Davis teams’ work, and coordination with peer postdoctoral research associate at UMass Amherst;<br>
Mentoring of graduate and undergraduate RAs from both computer and social sciences; or<br>
Contributing to the OSS ecosystem.<br>
The postdoc may also ask about opportunities to engage in elective opportunities related to industry engagement, grant writing, open source software community development, or teaching.</p>
<p>The successful application will have substantial experience in quantitative data analysis and some combination of programming, data science, computational statistics, and machine learning. They will be able to demonstrate a track record of both independent initiative and effective teamwork. They will be interested in being able to communicate across engineering, practice, and the social sciences. They will likely be interested in representing system-level outcomes in terms of individual-level behavior, and systems thinking or complex systems generally. Less important than domain expertise in software engineering research, OSS, or online communities is an interest in their potential for advancing social science generally.</p>
<p>The position will remain open until filled, starting likely in Summer or Fall 2024. We will begin reviewing applications March 1, 2024. Potential applications should feel comfortable contacting sethfrey@ucdavis.edu directly for questions about the call, including its current status. A reasonable estimate for this position is $64,480 - $69,342.</p>
<p>Submit application materials to: <a href="https://recruit.ucdavis.edu/JPF06297">https://recruit.ucdavis.edu/JPF06297</a></p>
<p>QUALIFICATIONS<br>
Basic qualifications (required at time of application)<br>
PhD required. Degree in hand at the time of appointment (applications from students close to completing their degrees considered).</p>
<p>APPLICATION REQUIREMENTS<br>
Document requirements<br>
Cover Letter</p>
<p>Curriculum Vitae - Your most recently updated C.V.</p>
<p>Link to a past project or your programming portfolio (e.g.Zenodo/OSF/GitHub/etc.) - Please submit a document with a link to a past project or your portfolio (e.g. Zenodo/OSF/GitHub/etc.)</p>
<p>Writing Sample - article, dissertation chapters, etc.</p>
<p>Writing Sample 2 - Optional second submission<br>
(Optional)</p>
<p>Statement of Contributions to Diversity, Equity, and Inclusion - Contributions to diversity, equity, and inclusion documented in the application file will be used to evaluate applicants. Visit <a href="https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion">https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion</a> for guidelines about writing a statement and why one is requested.</p>
<p>Reference requirements<br>
3-5 required (contact information only)<br>
Apply link: <a href="https://recruit.ucdavis.edu/JPF06297">https://recruit.ucdavis.edu/JPF06297</a><br>
Help contact: sethfrey@ucdavis.edu</p>PhD opening at TU Delft - understanding the dynamics of interdependent infrastructure systems2024-01-31T19:21:51.119099+00:002024-01-31T19:21:51.371163+00:00rshukla1202/users/4200/https://www.comses.net/jobs/622/<p>Delft University of Technology is looking for a PhD candidate with a strong quantitative background; please see the description below. The deadline for applications is 28 February 2024, see details here: <a href="https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=5491&nPostingTargetId=16085&">https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details/?nPostingId=5491&nPostingTargetId=16085&</a> . For further questions, please email Dr. Omar Kammouh (in cc).</p>
<p>PhD position on understanding the dynamics of interdependent infrastructure systems<br>
Infrastructure systems (such as the distribution and transmission grids for electricity, transport systems, and water distribution networks) are the backbone of societies, playing an essential role in supporting our daily activities. These infrastructure systems are highly complex, large-scale socio-technical systems spanning many temporal, spatial, and organizational scales. They are embedded in, intertwined with, and co-dependent on many different social systems.</p>
<p>Due to systemic challenges facing the infrastructure systems, for example, the energy transition, climate change, or demographic and technological changes, there is an increased focus on understanding the dynamics of coupled infrastructure systems. With the rising complexity of infrastructure systems, their vulnerability to hazards, including those stemming from climate change and energy transitions, increases.</p>
<p>Decision-makers responsible for the long-term planning and improving the resilience of integrated infrastructure systems rely on the existing and increasingly outdated approaches, which are unable to deal with the deep uncertainty these systems face. Therefore, we need new innovative (AI/ML-based) planning and development methods to evaluate and improve the resilience of our infrastructure so that we can effectively respond to the continuously changing (physical and social) environment. For these innovative methods to be developed, a deep understanding of integrated infrastructure systems dynamics is essential, which is a significant scientific challenge.</p>
<p>This Ph.D. position focuses on the conceptualization and modeling of integrated infrastructure systems. We seek to answer questions such as: What are the unique properties and traits of infrastructure systems that contribute to their interdependence? How can we characterize the interactions between infrastructure systems? What are suitable (multi-)modeling approaches to model these interactions? and what is the most relevant resolution and scale to capture these dynamics?</p>
<p>This Ph.D. position in what can be termed “Complex Systems Analysis and Modelling” provides a unique opportunity to contribute to a critical and transformative field that emphasizes the resilience of our communities and vital infrastructure systems. As a part of our highly multidisciplinary team, your research will be instrumental in advancing our understanding of complex infrastructure systems dynamics and help develop new conceptual and modeling foundations for further impactful research.</p>Funded PhD in A Hybrid Simulation Approach for Planning a Sustainable Model of Personalised Home Care (Department of Management Science, University of Strathclyde)2024-01-31T09:45:58.788131+00:002024-01-31T09:45:59.382690+00:00itamarmeg/users/2192/https://www.comses.net/jobs/621/<p>This PhD is an exciting opportunity to develop and use cutting-edge systems simulation modelling in tackling the complex challenges in health and social care. The focus of this project is on understanding how personalised, technology-facilitated home care can efficiently meet the current and future demands of health and social care for older adults. Systems simulation modelling has lacked a coherent theory for incorporating health-related behaviour—an aspect crucial to addressing this topic. The student undertaking this research will not only contribute to improving practices in personalised, technology-facilitated home care but will also advance the theory and methodology of systems modelling. Their work involves developing hybrid systems models, informed by behavioural theory, and integrating methods of System Dynamics, Discrete-Event Simulation, and Agent-Based Modelling. The work is situated in the Department of Management Science at Strathclyde Business School with support from the Psychological Sciences Department.</p>
<p>Background<br>
The escalating number of older adults receiving home-based care presents and ongoing challenge for the UK Health and Social Care system. Despite efforts to reshape home care delivery, a sustainable and personalise model remains elusive. The prevailing time-and-task commissioning model, favoured for its political security, has led to fragmented services and limited understanding of older adults’ needs. This dominant model emphasizes in-home service provision, neglecting a holistic approach to support independent living and lacks focus on long-term cost measurement or outcomes assessment.</p>
<p>Providers, grappling with complex commissioning processes and strained social care budgets, face instability in the market. Localised innovations, though sporadic, lack consistent efforts for widespread enhancement, with evidence-sharing and scaling of successful strategies remaining scant. The absence of data on impact, implementation costs, efficiency improvements, financial savings, and outcomes for service users further hinders progress.</p>
<p>Home care provision spans diverse interconnected domains, such as health, social care, housing, financing, workforce, and technology. Evaluating the effectiveness and cost-effectiveness of home care models requires a holistic understanding of the entire health and social care system. Deploying models without insight into potential outcomes and unexpected effects can lead to substantial costs. Addressing the complexity of personalized, technology-facilitated home care demands an innovative approach.</p>
<p>Aim<br>
The focus of this project is to comprehend how personalized, technology-facilitated home care can efficiently meet the health and social care demands of older adults in Scotland. The student will pioneer a hybrid simulation approach, integrating health behaviour theories to construct models and simulations. This method, combining System Dynamics, Discrete-Event Simulation, and Agent-Based Modelling, has successfully tackled complex health and social care problems.</p>
<p>In addition to undertaking cutting-edge research, students are also registered for the Postgraduate Certificate in Researcher Development (PGCert), which is a supplementary qualification that develops a student’s skills, networks, and career prospects.</p>Lecturer (Assistant prof) in Management Science (including systems simulation), University of Strathclyde2024-01-29T09:19:27.805349+00:002024-01-29T09:19:30.538518+00:00itamarmeg/users/2192/https://www.comses.net/jobs/620/<p>Apply through this Strathclyde University formal post: <a href="https://strathvacancies.engageats.co.uk/Vacancies/W/3525/0/417682/15019/lecturer-in-management-science-589734">https://strathvacancies.engageats.co.uk/Vacancies/W/3525/0/417682/15019/lecturer-in-management-science-589734</a> </p>
<p>Salary: £45,585 - £56,021 <br>
FTE: 1 (35 Hours/week)<br>
Term: Open Contract <br>
Closing Date: 4 March 2024 </p>
<p>Who we are</p>
<p>We are the University of Strathclyde. Our vision is innovative and ground-breaking, placing us amongst the world’s leading international technological universities. We are vibrant, dynamic and passionate about solving the challenges faced by the society and industry through our cutting-edge, multi-disciplinary research, education and knowledge-exchange with global partners.</p>
<p>Be collaborative. Be innovative. Be a ‘Strathclyder’.</p>
<p>Our department</p>
<p>The Department of Management Science has a vibrant intellectual culture, and our academic staff have a strong record of both publication and generating funding through research and knowledge exchange activities. Our teaching portfolio includes an undergraduate principal subject in the Strathclyde Business School as well as our MSc in Data Analytics, MSc Business Analysis and Consulting, and an MSc in Health Analytics, Policy and Management.</p>
<p>We are looking for candidates in all areas of Management Science and Operational Research but are particularly interested in candidates who offer research and teaching expertise in areas such as:</p>
<p>· Health Analytics and Policy,</p>
<p>· Risk Analysis and Uncertainty Modelling,</p>
<p>· Optimisation,</p>
<p>· Simulation,</p>
<p>· Problem Structuring Methods.</p>
<p>The opportunity</p>
<p>We would love to hear from you if you have a PhD; an emerging publication pipeline in high quality academic journals; an interest in translating research into practice; a desire to deliver an excellent student experience; and research interests which align with our areas of strategic priority.</p>
<p>In keeping with our commitment to equality and diversity, we encourage applications from all sections of the community, particularly those who can support our Athena SWAN activity, which inspires the advancement and representation of women in higher education. For more information on diversity and inclusion at Strathclyde, please see here: <a href="https://www.strath.ac.uk/media/ps/sees/equality/EDI_Policy_Final_Feb_2021.pdf">https://www.strath.ac.uk/media/ps/sees/equality/EDI_Policy_Final_Feb_2021.pdf</a></p>
<p>You’ll be rewarded with:</p>
<p>· Growth of your research portfolio</p>
<p>· Reduced teaching load and limited administrative duties over the first years.</p>
<p>· Support through our academic career development framework to gain feedback on your performance, meet your training needs and enhance your effectiveness.</p>
<p>· Mentoring, to help you establish a balance of research, teaching, knowledge exchange and citizenship responsibilities while enhancing your leadership qualities to support your long-term career.</p>
<p>Informal enquiries about the post can be directed to Prof Matthew Revie, Head of Department (matthew.j.revie@strath.ac.uk). </p>
<p>Formal interviews for this post will be held on Thursday, 21 March 2024.</p>CSDMS 2024: Coastlines, Critical Zones and Cascading Hazards: Modeling Dynamic Interfaces from Deep Time to Human Time2024-01-25T21:51:45.695728+00:002024-01-25T21:51:45.971134+00:00lynnmccready/users/4579/https://www.comses.net/events/716/<p>Please join us for the upcoming Community Surface Dynamics Modeling System Annual Meeting, <br>
“CSDMS 2024: Coastlines, critical zones, and cascading hazards: modeling dynamic interfaces from deep time to human time” taking place May 14-16, 2024 at Montclair State University in Montclair, NJ. As always, there will be a great lineup of keynote talks and clinics! Lively poster sessions and breakout sessions/jams will provide a chance to meet with old and new friends, and learn about new tools and resources. </p>
<p>A limited number of Travel Scholarships will be available and the deadline to apply is February 16th, 2024. Registration and Travel Scholarship application information here: <a href="https://csdms.colorado.edu/wiki/Form:Annualmeeting2024">https://csdms.colorado.edu/wiki/Form:Annualmeeting2024</a></p>13 th International Conference on Complex Networks & Their Applications2024-01-22T19:21:58.720776+00:002024-01-22T19:21:58.988531+00:00rshukla1202/users/4200/https://www.comses.net/events/715/<p>13 th International Conference on Complex Networks & Their Applications</p>
<p>Istanbul, Turkey</p>
<p>December 10 - 12, 2024</p>
<p>COMPLEX NETWORKS 2024 </p>
<p>We encourage researchers from diverse disciplines to share their insights, engage in discussions, and contribute to the vibrant field of complex networks.</p>
<p>Join us in Istanbul for a stimulating exchange of ideas and collaborations that transcend disciplinary boundaries.</p>
<p>SUBMISSION DEADLINE: SEPTEMBER 3, 2024</p>
<p>SUBMISSION CATEGORIES:</p>
<p>Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome.</p>
<p>· Papers will be included in the conference proceedings edited by Springer</p>
<p>· Extended abstracts will be published in the Book of Abstracts (with ISB </p>
<p>PUBLICATION OPPORTUNITIES:</p>
<p>Extended versions will be invited for publication in special issues of international journals:</p>
<p>o PLOS one</p>
<p>o PLOS COMPLEX SYSTEMS</p>
<p>o Applied Network Science edited by Springer</p>
<p>o Social Network Analysis and Mining edited by Springer</p>
<p>o Advances in Complex Systems edited by World Scientific</p>
<p>o Entropy edited by MDPI</p>
<p>o Complex Systems </p>
<p>TOPICS</p>
<p>Topics include, but are not limited to:</p>
<p>o Models of Complex Networks</p>
<p>o Structural Network Properties and Analysis</p>
<p>o Complex Networks and Epidemics</p>
<p>o Community Structure in Networks</p>
<p>o Community Discovery in Complex Networks</p>
<p>o Motif Discovery in Complex Networks</p>
<p>o Network Mining</p>
<p>o Network embedding methods</p>
<p>o Machine learning with graphs</p>
<p>o Dynamics and Evolution Patterns of Complex Networks</p>
<p>o Link Prediction</p>
<p>o Multilayer Networks</p>
<p>o Network Controllability</p>
<p>o Synchronization in Networks</p>
<p>o Visual Representation of Complex Networks</p>
<p>o Large-scale Graph Analytics</p>
<p>o Social Reputation, Influence, and Trust</p>
<p>o Information Spreading in Social Media</p>
<p>o Rumour and Viral Marketing in Social Networks</p>
<p>o Recommendation Systems and Complex Networks</p>
<p>o Financial and Economic Networks</p>
<p>o Complex Networks and Mobility</p>
<p>o Biological and Technological Networks</p>
<p>o Mobile call Networks</p>
<p>o Bioinformatics and Earth Sciences Applications</p>
<p>o Resilience and Robustness of Complex Networks</p>
<p>o Complex Networks for Physical Infrastructures</p>
<p>o Complex Networks, Smart Cities and Smart Grids</p>
<p>o Political networks</p>
<p>o Supply chain networks</p>
<p>o Complex networks and information systems</p>
<p>o Complex networks and CPS/IoT</p>
<p>o Graph signal processing</p>
<p>o Cognitive Network Science</p>
<p>o Network Medicine</p>
<p>o Network Neuroscience</p>
<p>o Quantifying success through network analysis</p>
<p>o Temporal and spatial networks</p>
<p>o Historical Networks</p>
<p>We look forward to your submissions and your participation in COMPLEX NETWORKS 2024!</p>
<p>The Organizers</p>Open Modeling Foundation: Workshop on Guidance and Standards2024-01-18T21:30:53.290950+00:002024-01-19T01:21:12.029140+00:00rshukla1202/users/4200/https://www.comses.net/events/714/<p>We are happy to announce the first of seven workshops aimed at developing good practices and recommendations for improving metadata in computational model-sharing and publishing platforms.</p>
<p>Date: 20 February 2024</p>
<p>Time: 8am (MST), 3pm (UTC), 4pm (CET)</p>
<p>Location: Online (Joining link to be shared one day before the event in this linked document)</p>
<p>Add our workshops to your calendar from here, and sign up to our newsletter by joining this Google Group.</p>
<p>Speaker: Volker Grimm, Open Modelling Foundation</p>
<p>Presentation title: Developing standards for modeling is critical and exciting: lessons from ODD and TRACE</p>
<p>Speaker bio: Volker is a biologist and physicist and works as a senior scientist at the Department of Ecological Modelling at the Helmholtz Centre for Environmental Research – UFZ in Leipzig, Germany, and as a professor for Theoretical Ecology at the University of Potsdam. He co-authored both the first monograph and the first textbook on agent-based modeling. His main research interest is in optimizing model development, communication, and validation. He has also been involved in modeling a broad range of plant and animal populations and communities, and worked on the use of key concepts such as stability or resilience. He has co/supervised more than 30 PhD students.</p>SocSimFesT 2024 Call for Session Proposals2024-01-17T07:53:28.704335+00:002024-01-17T07:55:24.430001+00:00nanda/users/514/https://www.comses.net/events/713/<p>Dear colleagues,</p>
<p>We are excited to announce that the Social Simulation Fest will continue its annual tradition in 2024. The festival offers a unique platform for social simulation enthusiasts to connect and engage with the community. For information on past events, please visit <a href="http://www.socsimfest.eu">www.socsimfest.eu</a>. <br>
This is a call for session proposals at the Social Simulation FesT 2024, scheduled for 14-15 May 2024. Each day will have three sessions and an inspirational talk, each lasting 1.5 hours. Session organizers are expected to curate their session’s content. We are looking forward to worldwide suggestions and participation.</p>
<p>To propose a Session:<br>
- Submit a description (max. 2000 characters, excluding the following details):<br>
- Preferred session timing: Morning or Afternoon + Date (14th or 15th May).<br>
- Session Type: Choose from the following, emphasizing interactive and unconventional formats:<br>
---- Tutorials and Demonstrations: Hands-on guidance on software tools or models.<br>
---- Introductions to Social Simulation: Tailored outreach to various disciplines and research areas.<br>
---- Seminar: Focused group discussion with a lead presentation and extended Q&A.<br>
---- Workshop: Interactive group discussion with online tools and breakout groups.<br>
---- Other interactive formats.</p>
<p>Describe how your session will engage participants and utilize the online format effectively.<br>
Submit your proposal via this form no later than the 29th of February: https://forms.gle/AmzzgFzNFkefcZKh9 </p>
<p>Important Dates:<br>
- 29 February 2024 (23:59 anywhere on Earth): Deadline for proposal submission<br>
- 11 March 2024: Notification of acceptance</p>
<p>Best regards,</p>
<p>The Fest Committee - Harko Verhagen, Melania Borit, Sara Mehryar, Timo Szczepanska, Nanda Wijermans.</p>
<p>P.S. For further information and inquiries, please get in touch with us at organizers<at><a href="http://socsimfest.eu">socsimfest.eu</a></p>How to Withdraw Money from PayPal without a Bank Account2024-01-17T06:55:50.229693+00:002024-01-18T01:08:58.204239+00:00finsonjerre/users/4562/https://www.comses.net/events/712/<p>In today's digital age, PayPal has become a ubiquitous platform for sending and receiving money. However, not everyone has a traditional bank account to link to their PayPal account. If you find yourself in this situation, you may wonder how to access your funds. Don't worry; we've got you covered. In this comprehensive guide, we will walk you through various methods to <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">withdraw money from PayPal without a bank account</a></strong>. Whether you're looking to use your PayPal balance for online purchases or convert it into cash, we'll show you the way.</p>
<p> </p>
<p><strong>Introduction</strong></p>
<p>PayPal is a popular online payment system that allows you to send and receive money securely. While many users link their PayPal accounts to their bank accounts, not everyone has this option. Fortunately, PayPal offers alternative methods for withdrawing funds without the need for a traditional bank account. In this article, we will explore these methods in detail and provide you with step-by-step instructions. Whether you're a freelancer, online shopper, or simply someone looking for flexibility in managing your finances, this guide will be invaluable to you.</p>
<p> </p>
<p><strong>Using a PayPal Cash Card</strong></p>
<p>If you're wondering <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">how to withdraw money from PayPal without a bank account</a></strong>, the PayPal Cash Card is a convenient solution. This debit card is linked directly to your PayPal balance, allowing you to make purchases or withdraw cash from ATMs. Here's how to get started:</p>
<ul>
<li><strong>Order Your PayPal Cash Card:</strong> Log in to your PayPal account, go to the "Wallet" section, and select "PayPal Cash Card." Follow the prompts to request your card.</li>
<li><strong>Activate Your Card:</strong> Once you receive your PayPal Cash Card in the mail, activate it by following the provided instructions.</li>
<li><strong>Load Funds:</strong> Transfer funds from your PayPal balance to your PayPal Cash Card. You can do this instantly through the PayPal app or website.</li>
<li><strong>Withdraw Cash:</strong> Use your PayPal Cash Card at any ATM that accepts Mastercard to withdraw cash. Be mindful of ATM fees, as some may apply.</li>
<li><strong>Make Purchases:</strong> You can also use your PayPal Cash Card for in-store and online purchases wherever Mastercard is accepted.</li>
</ul>
<p>The PayPal Cash Card provides a seamless way to access your PayPal funds, even if you don't have a bank account. It offers the flexibility to use your money for everyday expenses or withdraw cash when needed.</p>
<p> </p>
<p><strong>Requesting a Check from PayPal</strong></p>
<p>Another method to <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">withdraw money from PayPal</a></strong> without a bank account is by requesting a check. PayPal allows you to receive a paper check in the mail, which you can then deposit into your personal or mobile check-cashing account. Here's how to do it:</p>
<ul>
<li><strong>Log In:</strong> Access your PayPal account and ensure that your mailing address is up to date.</li>
<li><strong>Request a Check:</strong> In your PayPal account, navigate to the "Wallet" section and select "Transfer Money." Choose "Request a Check" and follow the on-screen instructions.</li>
<li><strong>Wait for Delivery:</strong> PayPal will process your request and mail a paper check to your verified address. This typically takes 1-2 weeks.</li>
<li><strong>Deposit the Check:</strong> Once you receive the check, you can deposit it into a personal bank account or use a mobile check-cashing service to access your funds.</li>
</ul>
<p>Requesting a check from PayPal offers a tangible way to access your funds, making it suitable for individuals who prefer traditional banking methods.</p>
<p><strong>Related post: <a href="https://www.linkedin.com/pulse/how-withdraw-money-from-cash-app-comprehensive-guide-kanhaiya-verma-qjjhc">How Can I Cash Out Money from the Cash App</a> / <a href="https://www.linkedin.com/pulse/how-withdraw-money-from-cash-app-comprehensive-guide-kanhaiya-verma-qjjhc">How Do I Withdraw Money from My Cash App</a>?</strong></p>
<p> </p>
<p><strong>Using a Prepaid Card/Control You’re Spending</strong></p>
<p>If you're looking for a way to manage your PayPal funds without a bank account, consider using a prepaid card. Prepaid cards, such as PayPal Prepaid Mastercard, allow you to load your PayPal balance onto the card for easy spending and ATM withdrawals. Here's how to set it up:</p>
<ul>
<li><strong>Apply for a Prepaid Card:</strong> Visit the PayPal Prepaid Mastercard website and apply for the card.</li>
<li><strong>Link Your PayPal Account:</strong> Once you receive the card, link it to your PayPal account by following the provided instructions.</li>
<li><strong>Load Funds:</strong> Transfer money from your PayPal balance to your prepaid card.</li>
<li><strong>Start Spending:</strong> Use the prepaid card for purchases at stores and online retailers that accept Mastercard. You can also withdraw cash from ATMs.</li>
</ul>
<p>Prepaid cards offer control and flexibility over you is spending, making them a practical solution for managing your PayPal funds.</p>
<p> </p>
<p><strong>FAQs</strong></p>
<p><strong>How do I withdraw money from PayPal without a bank account?</strong></p>
<p>You can <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">cash out money from PayPal without a bank account</a></strong> by using options like a PayPal Cash Card, requesting a check from PayPal, or utilizing a prepaid card linked to your PayPal account.</p>
<p> </p>
<p><strong>Are there fees associated with these withdrawal methods?</strong></p>
<p>While PayPal Cash Cards and prepaid cards may have minimal fees, requesting a check from PayPal typically incurs no extra charges.</p>
<p> </p>
<p><strong>Can I use my PayPal funds for online shopping without a bank account?</strong></p>
<p>Yes, you can use your PayPal balance for online shopping without a bank account by applying for a PayPal Cash Card or linking your PayPal account to a prepaid card.</p>
<p> </p>
<p><strong>Is it safe to withdraw money from PayPal without a bank account?</strong></p>
<p>Yes, it's safe to <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">withdraw fund from PayPal</a></strong> without a bank account using the recommended methods mentioned in this article. PayPal has stringent security measures in place to protect your funds.</p>
<p> </p>
<p><strong>Can I withdraw my entire PayPal balance without a bank account?</strong></p>
<p>Yes, you can withdraw your entire PayPal balance without a bank account by choosing one of the methods outlined in this article.</p>
<p> </p>
<p><strong>Conclusion</strong></p>
<p>In conclusion, <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">withdrawing money from PayPal without a bank account</a></strong> is indeed possible, thanks to the various options provided by PayPal itself. Whether you prefer the convenience of a PayPal Cash Card, the traditional approach of receiving a paper check, or the flexibility of a prepaid card, you have choices to suit your needs. Feel confident in managing your PayPal funds, even without a bank account, by following the steps outlined in this article. Say goodbye to limitations and hello to financial flexibility with PayPal.</p>How to Effortlessly Cash Out Funds from Your Cash App Account2024-01-17T06:33:09.053321+00:002024-01-18T01:09:02.782805+00:00finsonjerre/users/4562/https://www.comses.net/events/711/<p>In this comprehensive guide, we will walk you through the seamless process of <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-cash-app-comprehensive-guide-kanhaiya-verma-qjjhc">cashing out funds from your Cash App account</a></strong>. Whether you are a newcomer to the world of mobile payments or a seasoned user looking for a refresher, we've got you covered. Our step-by-step instructions and valuable tips will ensure that you can easily access and withdraw your hard-earned money without any hassle.</p>
<p> </p>
<p><strong>Understanding Cash App</strong></p>
<p>Before we delve into the specifics of cashing out, it's essential to have a clear understanding of what Cash App is and how it works. Cash App is a peer-to-peer payment platform that allows users to send and receive money, as well as make online purchases. It's a convenient and user-friendly application available on both iOS and Android devices.</p>
<p> </p>
<p><strong>Navigating Your Cash App Account</strong></p>
<p>To <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-cash-app-comprehensive-guide-kanhaiya-verma-qjjhc">cash out your funds</a></strong>, you'll first need to navigate your Cash App account. Here's how to do it:</p>
<ul>
<li><strong>Log in to Your Cash App:</strong> Open the Cash App on your mobile device and log in using your credentials.</li>
<li><strong>Access you’re Balance:</strong> On the home screen, you'll see your Cash App balance. This is where your funds are stored.</li>
<li><strong>Link Your Bank Account:</strong> If you haven't already, you'll need to link your bank account to your Cash App account. This is a one-time setup process that ensures you can transfer funds to your bank.</li>
<li><strong>Check Your Balance:</strong> Before initiating a transfer, ensure that you have a sufficient balance in your Cash App account.</li>
</ul>
<p><strong>Related post: <a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">How to Withdraw Money from PayPal</a> / <a href="https://www.linkedin.com/pulse/how-withdraw-money-from-paypal-comprehensive-guide-kanhaiya-verma-foaxc">How to Cash Out money from PayPal</a></strong></p>
<p> </p>
<p><strong>Initiating a Cash Out</strong></p>
<p>Now that you're familiar with the basics, let's proceed with the cash-out process:</p>
<ul>
<li><strong>Tap on "Cash Out":</strong> On the home screen of your Cash App, locate the "Cash Out" button. It's typically represented by a dollar sign or a "Cash Out" icon.</li>
<li><strong>Enter the Amount:</strong> Specify the amount you want to cash out. You can either enter a specific amount or choose from your available balance.</li>
<li><strong>Select Your Bank Account:</strong> If you have multiple bank accounts linked, choose the one where you want to transfer your funds.</li>
<li><strong>Review and Confirm:</strong> Double-check the details, ensuring the amount and bank account is correct. Once satisfied, hit the "Confirm" button.</li>
<li><strong>Wait for Confirmation:</strong> Cash App will process your request, and you'll receive a confirmation notification once the transfer is complete.</li>
</ul>
<p> </p>
<p><strong>Understanding Transfer Times</strong></p>
<p>It's essential to be aware of the transfer times when <strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-cash-app-comprehensive-guide-kanhaiya-verma-qjjhc">cashing out from your Cash App</a></strong> account:</p>
<ul>
<li><strong>Standard Transfer:</strong> Cash App offers a standard transfer option that usually takes 1-3 business days to reach your linked bank account. This option is free of charge.</li>
<li><strong>Instant Transfer:</strong> For a faster withdrawal, you can opt for an instant transfer. However, Cash App may charge a small fee for this service.</li>
</ul>
<p> </p>
<p><strong>Keeping Your Account Secure</strong></p>
<p>To ensure the security of your funds and personal information, follow these essential security tips:</p>
<ul>
<li><strong>Enable Two-Factor Authentication:</strong> Activate two-factor authentication (2FA) for an extra layer of security when accessing your Cash App account.</li>
<li><strong>Beware of Scams:</strong> Be cautious of unsolicited messages or calls claiming to be from Cash App support. Cash App will never ask for your login credentials over the phone.</li>
<li><strong>Regularly Review Transactions:</strong> Periodically review your transaction history to detect any unauthorized or suspicious activity.</li>
<li><strong>Use Strong Passwords:</strong> Create a strong, unique password for your Cash App account, and avoid using easily guessable information.</li>
</ul>
<p> </p>
<p><strong>Conclusion</strong></p>
<p><strong><a href="https://www.linkedin.com/pulse/how-withdraw-money-from-cash-app-comprehensive-guide-kanhaiya-verma-qjjhc">Withdrawing funds from your Cash App account</a></strong> is a straightforward process when you follow these step-by-step instructions. By understanding the platform, initiating transfers, and keeping your account secure, you can confidently manage your finances and access your money whenever you need it.</p>Junior Professorship for Modeling of Social-Ecological Systems with a Focus on Forests - University of Freiburg (Germany)2024-01-04T09:48:00.834139+00:002024-01-04T09:48:00.999123+00:00birgit.mueller.ufz/users/665/https://www.comses.net/jobs/619/<p>The University of Freiburg invites applications for the</p>
<p>Junior Professorship for Modeling of Social-Ecological Systems<br>
with a Focus on Forests<br>
at the Faculty of Environment and Natural Resources.</p>
<ul>
<li>Application deadline: 11.02.2024</li>
<li>Start-date: At the earliest possible date</li>
<li>Fulltime position</li>
<li>Id no.: 3504<br>
This is a grade W1-professorship to which performance payments can be offered.<br>
This professorship is suitable for highly qualified early career researchers at an early stage in<br>
their careers. Conditions governing the appointment in accordance with section 51 (3) LHG<br>
apply.<br>
The necessary short to medium-term adaptation of forests and forestry to global change is<br>
an enormous challenge for society due to the diverse ecosystem services provided by<br>
forests. Solution scenarios need to be developed and the option space for management and<br>
governance needs to be mapped out following a systemic perspective on the basis of social<br>
science concepts and focusing on social-ecological modeling of sustainable forest use under<br>
the conditions of global and regional change. This includes the development of innovative<br>
theories and interdisciplinary methods for data collection and analysis.<br>
The successful candidate is expected:</li>
<li>to have a relevant PhD-thesis and post-doc experience in the field of qualitative and<br>
quantitative modeling of complex, adaptive social-ecological systems, if possible on the<br>
basis of social science concepts<br>
-to have comprehensive knowledge of methods of system analysis of social-ecological<br>
systems and innovative interdisciplinary methods for data collection and analysis,<br>
documented through publications and teaching experience</li>
<li>to develop a junior research group as a methodological competence center for the<br>
modeling of forest/environment-human systems in Central Europe within the faculty and<br>
in association with other research institutions; funding for two researchers<br>
(100 % each) for 6 years can already be guaranteed and is part of the package</li>
<li>to cooperate with existing or developing joint research projects at the faculty, in particular<br>
participation in the Cluster of Excellence initiative »Future Forests« and possible<br>
follow-up projects</li>
<li>to lecture on methods of social-ecological modeling and innovative interdisciplinary data<br>
collection and analysis to the extent of 4 SWS; after a successful mid-term evaluation, it<br>
will be 6 SWS</li>
<li>to have documented experience of working together in interdisciplinary teams,<br>
supervising students and acquiring third-party funded projects</li>
<li>to have very good command of English, good command of German<br>
Place of work is Freiburg im Breisgau. Prerequisites for the employment are a university<br>
degree, an outstanding PhD-thesis and an excellent publication record. This position is a<br>
fixed term of four years. After a successful mid-term evaluation, it will be extended by two<br>
years.<br>
The following application documents are to be submitted:</li>
<li>Curriculum vitae</li>
<li>Certificates of degrees and academic qualifications</li>
<li>Complete list of papers and talks with specification of the three most important<br>
publications</li>
<li>Research concept for the development of the junior research group (1–2 pages)</li>
<li>Teaching concept (1–2 pages)<br>
We are particularly pleased to receive applications from women for the position advertised<br>
here.</li>
</ul>
<p>Application<br>
Please send your application including supporting documents mentioned above and<br>
the application form citing the reference number 3504, by 11.02.2024 at the latest. Please<br>
send your application to the following address in written or electronic form:<br>
Prof. Dr. Heiner Schanz<br>
Dean of the Faculty of Environment and Natural Resources<br>
Tennenbacher Str. 4<br>
D-79106 Freiburg<br>
Applications by email (all documents in one PDF document) to dekanat@unr.uni<a href="http://-freiburg.de">-freiburg.de</a>.<br>
For further information, please contact Andreas Friedrich on the phone number<br>
+49 761 203-3603 or E-Mail andreas.friedrich@unr.uni<a href="http://-freiburg.de">-freiburg.de</a>.<br>
Further information on the appointment procedure can be found in the Code for Practice for<br>
professorial appointments (in German).<br>
Advertisement in the online job portal of the University of Freiburg:<br>
<a href="https://uni-freiburg.de/university/jobs/00003504/">https://uni-freiburg.de/university/jobs/00003504/</a></p>Postdoc fellow on ABM & Networks, University of Milano-Bicocca (Bicocca) and the University of Milan (Unimi), 20 months2023-12-21T14:10:02.340407+00:002023-12-21T14:10:02.566923+00:00flaminio1970/users/529/https://www.comses.net/jobs/618/<p>The postdoc will join the ConsNet project, a study of conspiracy beliefs, their social network determinants, and how they impact health behaviors and outcomes in Italy (PI: Raffaele Vacca, Unimi; Co-PI: Viviana Amati, Bicocca). More information about ConsNet is here.</p>
<p>The position will be based at the Bicocca Department of Statistics and Quantitative Methods and will be part of the Behave Lab in the Unimi Department of Social and Political Sciences (<a href="https://behavelab.org/">https://behavelab.org/</a>).</p>
<p>The postdoc will collaborate with other ConsNet team members in the following main task areas:</p>
<p>Design of a national survey on conspiracy beliefs, personal networks, and health.<br>
Pre-processing and analysis of survey and personal network data.<br>
Development of statistical and agent-based models to analyze network data (egocentric and sociocentric), simulate whole networks, model conspiracy beliefs and health outcomes.<br>
Important job information:</p>
<p>Location: Milano, Italy<br>
Office: BehaveLab (<a href="https://behavelab.org/">https://behavelab.org/</a>)<br>
Expected salary range: € 2,300-2,500/month (after tax)<br>
Expected start date: March 1, 2024<br>
Duration: 20 months<br>
Relevant candidate expertise and interests: social network analysis, network science, survey data, agent-based modeling, R/Python<br>
PhD in Statistics, Social Sciences or related fields preferred but not required at start date</p>Assistant Professor of Instruction in Computational Social Science (Teaching-Track)2023-12-10T17:20:44.812952+00:002023-12-10T17:21:00.663438+00:00srmonteiro/users/4477/https://www.comses.net/jobs/617/<p>Deadline: Review Begins January 15th, 2024 and will continue until the position is filled</p>
<p>The Department of Political Science at Northwestern University seeks applications for a full-time, teaching-track Assistant Professor of Instruction in Computational Social Science to begin on September 1, 2024.</p>
<p>Excellent candidates for this position exhibit a strong record and potential for building leading-edge courses, curriculum, and programs that help undergraduates, graduate students, and colleagues across substantive areas of political science to connect with relevant techniques and methodological ideas. We are especially keen to seek a new colleague who can expand our research, teaching, and advising with intensive statistical knowledge, programming skills, and awareness of data science norms and practices.</p>
<p>The successful candidate will teach a combination of graduate and undergraduate courses, as well as participate in departmental activities and service. The standard teaching load is six courses annually, which can include the two-week, pre-semester intensive on Statistical and Computational Research methods. Course releases in exchange for specific service roles may be available. Ph.D. or equivalent terminal degree is required; however, ABD applicants who anticipate completion of the doctorate by Fall 2024 will be considered. The ideal candidate will bridge between the Political Science department and the broader computational social science and data sciences communities at Northwestern, helping establish connections with other campus activities such as the Center for Diversity and Democracy (CSDD), the Institute for Sustainability and Energy at Northwestern (ISEN), the Institute for Policy Research (IPR), the Global Poverty Research Lab, the Weinberg College Center for International and Area Studies, the Buffett Institute for Global Affairs, the Northwestern Institute of Complex System (NICO), Sociology, Psychology, Computer Science, Statistics and Data Science, the School of Education and Social Policy, the School of Communication, Kellogg School of Management, among others.</p>
<p>Applications should include a cover letter, current CV, writing sample, research statement, teaching statement, evidence of teaching effectiveness, diversity statement, and three letters of recommendation. In addition to narrating publications and manuscripts in progress, the research statement should describe the candidate’s computational contributions to the scholarly community (programs, R libraries, repositories, etc.) and provide links to such materials.</p>
<p>Consideration of files will begin on January 15th and will continue until the position is filled. All applications received by January 15th will be given priority.</p>
<p>YOU MAY APPLY HERE: <a href="HTTPS://FACULTYRECRUITING.NORTHWESTERN.EDU/APPLY/MTK2NA==">HTTPS://FACULTYRECRUITING.NORTHWESTERN.EDU/APPLY/MTK2NA==</a></p>
<p>Northwestern campus sits on the traditional homelands of the people of the Council of Three Fires, the Ojibwe, Potawatomi, and Odawa as well as the Menominee, Miami and Ho-Chunk nations. We acknowledge and honor the original people of the land upon which Northwestern University stands, and the Native people who remain on this land today. Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Click for information on EEO is the Law.</p>
<p>For inquiries about the job advertisement or application, please reach out to Stephen Monteiro, Business Administrator in the Department of Political Science, by email: stephen.monteiro@northwestern.edu</p>Post-Doc in Agricultural Technology Adoption at University of Illinois2023-11-29T20:36:14.046879+00:002023-11-29T20:36:14.319437+00:00rshukla1202/users/4200/https://www.comses.net/jobs/616/<p>We seek a postdoctoral research associate to conduct innovative interdisciplinary research examining the incentives for spatially and behaviorally heterogeneous farmers to adopt novel, AI-based, precision farming technologies for site-specific input application and its implications for farm profitability and the environment. The research will integrate information about technology attributes with spatially varying biophysical characteristics of the landscape and heterogeneous farmer characteristics to develop optimal crop management strategies at the parcel and landscape levels. Primary responsibilities will include developing one or more of the following tools to conduct this research: spatial optimization models, conducting and analyzing a discrete choice experiment, building an economic model of technology adoption, and an agent-based model that integrates biophysical models characterizing field conditions with a model of landowner decision-making.</p>
<p>The successful candidate will work directly with the project’s PI, Dr. Madhu Khanna, in the Department of Agricultural and Consumer Economics, University of Illinois, Urbana- Champaign.</p>
<p>Qualifications: Candidates must have a PhD in economics, agricultural and resource economics, engineering economics, computational economics, or a related field such as computer science with economic applications.</p>
<p>Experience in computational methods, spatial optimization modeling, survey –based choice experiments, discrete-choice modeling and agent-based modeling that links economic decision making with biophysical models, and excellent written and oral communication skills and an interest in working with interdisciplinary researchers on topics related to emerging precision technologies will be among the selection criteria. Funding is available to start immediately for appointment on an annual basis with the potential for annual renewal for two to three years based on satisfactory performance. The position will be open until it is filled and the start date is negotiable.</p>
<p>For full consideration please apply by January 4, 2024.</p>
<p>To apply, email the following items to Amy Rosenbery (husted@illinois.edu) with the subject POSTDOC: (i) a cover letter explaining how your experience qualifies you and why you are interested in the position; (ii) your CV including PhD degree date; (iii) names and contact information for three (3) professional references; and (iv) a professional writing sample that illustrates the required/desired qualifications for the position. If you have experience developing and contributing programming codes and/or other related resources to CRAN, GitHub or another online data or software repository, please include this information in your CV or other application materials.</p>
<p>Proof of doctoral degree is required to begin employment. The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.</p>
<p>The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit <a href="http://go.illinois.edu/EEO">http://go.illinois.edu/EEO</a>. To learn more about the University’s commitment to diversity, please visit <a href="http://www.inclusiveillinois.illinois.edu">http://www.inclusiveillinois.illinois.edu</a></p>