Complex Systems Studies

I have several open shorter-term #postdoc positions in my lab that focus on the intersection of networks, artitficial intelligence and biodiversity. Some of these would be particularly suitable for people with Bio backgrounds, others are more Physicsy. DM me if interested: thilo2gross@gmail.com

Which links matter most? Sparsifying epidemic models with effective resistance, Cristopher Moore: https://youtu.be/Ln_CIhxV840 Network science has increasingly become central to the field of epidemiology. However, many networks derived from modern datasets are not just large, but dense, with a high average degree. One way to reduce the computational cost of simulating epidemics on these networks is sparsification, where a subset of edges is selected and reweighted based on some measure of their importance. Following recent work in computer science, we find that the most accurate approach uses the effective resistances of edges, which can be computed from the graph Laplacian. The resulting sparse network preserves both the local and global behavior of the SIR model, including the probability each node becomes infected and its distribution of arrival times. This holds even when the sparse network preserves less than 10% of the edges of a mobility network from the United States. Our work helps illuminate which links of a network are most important to disease spread. Defining edge importance using purely topological methods, or by thresholding edge weights, does not perform nearly as well.

Beyond Bayesians and Frequentists https://jsteinhardt.stat.berkeley.edu/blog/beyond-bayesians-and-frequentists

Are you doing a PhD or are you looking for a PhD position in the area of AI? The consider submitting to our Doctoral Symposium at the 47th German Conference on AI, held in September in Würzburg! Deadline: June 17th, https://www.informatik.uni-wuerzburg.de/ki24/submissions/doctorial-symposium

تمدید مهلت ثبت نام بیست و نهمین گردهمایی فیزیک ماده چگال دوستان، همکاران و دانشجویان گرامی با سلام احتراما به اطلاع می رساند  زمان ثبت نام بیست و نهمین گردهمایی فیزیک ماده چگال دانشگاه تحصیلات تکمیلی علوم پایه زنجان تا تاریخ ۷ ام اردیبهشت ماه تمدید شد. از همه علاقه‌مندانی که تا کنون موفق به ثبت نام نشده اند دعوت می شود جهت ثبت نام و ارسال مقاله به وبسایت گردهمایی در آدرس زیر مراجعه نمایند: https://iasbs.ac.ir/~condmat-meeting/m29/ با احترام سید سعید سیوف جهرمی دبیر بیست و نهمین گردهمایی فیزیک ماده چگال

#PhD Student - Infectious Disease Modelling / Network Analysis https://iddjobs.org/jobs/phd-student-infectious-disease-modelling-network-analysis

#PhD student position in stochastic modelling of infectious diseases https://www.chalmers.se/om-chalmers/arbeta-hos-oss/lediga-tjanster/?rmpage=job&rmjob=12860&rmlang=SE

"Physics of Coffee" How physics plays a role in coffee production, brewing, and latte art? https://youtu.be/UFxA9cRFm-M

Opinion: That’s Not Physics Where do the boundaries of physics begin and end? The debate has persisted for more than a century. https://aps.org/publications/apsnews/202405/backpage.cfm

Anatomy of a Post | Interview with Petter Holme about his blog petterhol.me/blog Join us for an in-depth discussion with Petter Holme, renowned for his influential blog on complexity science. In this interview, Petter discusses his motivations and the sustained effort required to manage a sophisticated science blog. He reflects on the beginnings of his blogging journey, the evolution of his content, and the decision-making process behind choosing blog posts over formal research papers. Throughout the conversation with Abbas Rizi, Petter shares insights into the feedback he receives from readers, the unintended academic uses of his blog posts, and his views on the future of science communication in an increasingly digital world. This dialogue also covers practical aspects for academics considering starting their own blogs, including Petter's personal approach to writing and managing content and the tools and resources that have been indispensable to him. Whether you're an academic, a student, or simply interested in the convergence of science communication and Complexity Science, this interview provides a thoughtful perspective on the impact and challenges of blogging in the scientific community. Join Petter Holme as he shares his experiences and advice for integrating blogging into professional scientific communication. 🔗 https://youtu.be/Wtjo7eWE76E 🎞 Watch on Instagram 🎧 Audio File ---------------------------------------------- @sitpor | sitpor.org instagram.com/sitpor_media #سیتپـــــور به خاطر روایتگری در علم

#PhD student in Computer and Systems Sciences, with focus on Data Science https://www.su.se/english/about-the-university/work-at-su/available-jobs/phd-student-positions-1.507588?rmpage=job&rmjob=23228&rmlang=UK

"Bridging Physics and Computer Science: Understanding Hard Problems." No technical background is needed. Enjoy! https://www.cornell.edu/video/lenka-zdeborova-2024

Call for abstracts: The EpiMob satellite https://epimob.weebly.com/ (“Epidemic control: from mobility data to public health”) at the NetSci 2024 conference in Québec City is accepting abstracts for oral presentations. EpiMob aims to gather researchers working on the use of mobility data for the study of, and response to, infectious disease epidemics. We welcome both methodological studies, aiming to integrate data and epidemic models, and applied projects, showing the potential of mobility data for public health action and epidemic response. Topics potentially covered in the satellite: - from raw data to mobility patterns for epidemic modeling; - linking mobility and epidemic activity; - mobility to assess and guide movement restrictions and other public health policies; - mobility data for social epidemiology and social determinants of health; - theoretical frameworks to integrate mobility data into epidemic models NetSci 2024 will be held June 16-21, 2024, at the Québec City Convention Centre. The EpiMob satellite will take place on Monday, June 17 (AM session) at the NetSci conference venue. We encourage researchers of all career stages to submit abstracts, which will be accepted on a rolling basis until June 1, 2024. To access more information about the EpiMob satellite and the abstract submission form, please follow the link: https://epimob.weebly.com/. Please also feel free to share this call with your colleagues, trainees, and departments.

📢 #اطلاعیه ⚛ انجمن علمی دانشکدهٔ فیزیک دانشگاه صنعتی اصفهان برگزار می‌کند: 🗣 وبینار علمی با موضوع: First Passage 👤 ارائه‌دهنده: پروفسور سیدنی ردنر (Sidney redner) 📌 عضو هیئت علمی مؤسسه پژوهش‌های نظری سنتافه (Santa Fe) 📌 برندهٔ جایزه Leo P. Kadanoff انجمن فیزیک آمریکا (APS) 📌 رئیس سابق گروه فیزیک دانشگاه بوستون (Boston University) 📌 فارغ‌التحصیل مقطع دکتری از مؤسسه فناوری ماساچوست (MIT) 👤 مدیر جلسه: دکتر فرهاد شهبازی، عضو هیئت‌علمی دانشکدهٔ فیزیک دانشگاه صنعتی اصفهان 📆 زمان برنامه: سه‌شنبه ۱۱ اردیبهشت، ساعت ۱۶:۰۰ 🚪 بستر برنامه: 🖥 بیگ‌بلوباتن (لینک جلسه بعد از ثبت‌نام در دسترس شما قرار می‌گیرد) ✅ جهت ثبت‌نام به آیدی زیر مراجعه کنید. 👤 @physicsiut_admin 📌 هزینه ثبت‌نام: ۵۰ هزار تومان با تخفیف: ۳۵ هزار تومان 📌 لازم به‌ذکر است وبینار به زبان انگلیسی برگزار خواهد شد. ـــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــــ ⚛ انجمن علمی دانشکدهٔ فیزیک دانشگاه صنعتی اصفهان 🆔 @physicsiut

SweCSS, the Swedish Centre for Computational Social Science, has just introduced its Visiting Fellows Program, designed to foster collaboration between social and computational sciences. More information here: https://liu.se/en/research/swecss/visiting-fellows-program

#Postdoc position in Marseilles in an interdisciplinary project https://www.cpt.univ-mrs.fr/~barrat/postdoc_Hinteract.html Deadline for applications: June 5, 2024

A Short First Course in Network Science Online, June 3-14, 2024 About: Networks are present in all aspects of our lives: networks of friends, computers, web pages, and roads are examples that we experience outwardly, while our brain cells and the proteins within our body form networks that determine our cognition and health. This introductory online short course explores the study of networks and how they help us understand the complex interaction patterns that shape our lives. Target audience: A broad interdisciplinary-minded audience of learners. The course has no technical prerequisites other than some introductory programming and a willingness to learn by doing. Students in programs such as business, data science, social science, medicine, engineering, and more will benefit from this course. Format: A combination of lectures by Professor Santo Fortunato; practical sessions with tutorials, exercises, and collaborative mini-projects; and office hours with teaching assistants. A certificate of participation will be awarded to individuals completing the full course. Apply by May 15, 2024 — https://sites.google.com/view/netsci-course.

On the Shape of Epidemics Abstract The SARS-CoV-2 pandemic upended our societies and re-shaped the way we go about our day-to-day lives—from how we work and interact to the way we buy groceries and attend school. In this talk, I will present a series of studies quantifying how our behavior, mobility patterns, and social networks shaped and were shaped by COVID-19. Leveraging global data sets that represent billions of people, I will show how myriad factors interacted to structure the course of the pandemic. Then, by connecting the mathematics of epidemics to classical theory from ecology, I will outline a strategy for preventing future outbreaks from growing into pandemics. Finally, using the lessons learned from COVID-19, I discuss how we might balance the ethical and privacy considerations around high-resolution data with their critical role in responding to epidemics. About the Speaker Samuel V. Scarpino, PhD, is the director of AI + life sciences at Northeastern University and a professor of the practice in health and computer sciences. He holds appointments in Northeastern’s Institute for Experiential AI and Network Science Institute. In recognition for his contributions to complex systems science, he was named a fellow of the ISI Foundation in 2017, an external professor at the Santa Fe Institute in 2020, and an external faculty member at the Vermont Complex System Center in 2021. Prior to joining Northeastern, Scarpino was the vice president of pathogen surveillance at The Rockefeller Foundation, chief strategy officer at Dharma Platform (a social impact, technology startup), and co-founded a data science initiative called Global.health, which was backed by Google and The Rockefeller Foundation. Scarpino’s research has been published in journals such as Nature, Science, The Lancet Global Health, Nature Medicine, PNAS, Clinical Infectious Diseases, and Nature Physics. The New York Times, Wired, the Boston Globe, National Geographic, and numerous other venues have covered his work. He earned his doctoral degree from The University of Texas at Austin in 2013 and was Santa Fe Institute Omidyar Fellow from 2013 – 2016. Register here: https://iu.zoom.us/webinar/register/WN_kj-cg_saTmi4oQERGNX8Lg#/registration

About the Speaker Samuel V. Scarpino, PhD, is the director of AI + life sciences at Northeastern University and a professor of the practice in health and computer sciences. He holds appointments in Northeastern’s Institute for Experiential AI and Network Science Institute. In recognition for his contributions to complex systems science, he was named a fellow of the ISI Foundation in 2017, an external professor at the Santa Fe Institute in 2020, and an external faculty member at the Vermont Complex System Center in 2021. Prior to joining Northeastern, Scarpino was the vice president of pathogen surveillance at The Rockefeller Foundation, chief strategy officer at Dharma Platform (a social impact, technology startup), and co-founded a data science initiative called Global.health, which was backed by Google and The Rockefeller Foundation. Scarpino’s research has been published in journals such as Nature, Science, The Lancet Global Health, Nature Medicine, PNAS, Clinical Infectious Diseases, and Nature Physics. The New York Times, Wired, the Boston Globe, National Geographic, and numerous other venues have covered his work. He earned his doctoral degree from The University of Texas at Austin in 2013 and was Santa Fe Institute Omidyar Fellow from 2013 – 2016. Register here: https://iu.zoom.us/webinar/register/WN_kj-cg_saTmi4oQERGNX8Lg#/registration

[NetSci Newsletter] Newsletter April 2024 Newsletter April 2024 Question of the Month You want to lay out some domino pieces in a single line such that adjacent pieces show the same number on the halves facing each other. After some failed attempts, you start wondering if this is even possible with the pieces that you have. Which famous mathematician comes to mind? NetSci Education Netsci2024: Educational Video Competition Channel your excitement about network science to engage and educate the public! Goal of the competition: To increase the broad visibility and relevance of network science with videos on interesting, surprising, useful, or otherwise intriguing concepts in the field. Format of submissions: 2-3 minute educational videos on a network concept of your choice. Videos should be entertaining and informative and focused on a topic in network science that excites you. Feel free to choose topics that are close to your own research or that you are personally passionate about. Target audience: Members of the public who take an interest in science. Think of the audience for popular science journals like Scientific American, New Scientist, Quanta Magazine, etc. Prizes and dissemination: Awards will be presented at NetSci 2024 to the top ranked submissions ($300 for 1st place, $200 for second place, and $100 for third place). Selected videos will be promoted by the Network Science Society on social media and screened at NetSci 2024 Deadline: Submit your video by May 15, 2024. Link: https://forms.gle/1pS8r7tUWHJuBgTq6 A Short First Course in Network Science Online, June 3-14, 2024 About: Networks are present in all aspects of our lives: networks of friends, computers, web pages, and roads are examples that we experience outwardly, while our brain cells and the proteins within our body form networks that determine our cognition and health. This introductory online short course explores the study of networks and how they help us understand the complex interaction patterns that shape our lives. Target audience: A broad interdisciplinary-minded audience of learners. The course has no technical prerequisites other than some introductory programming and a willingness to learn by doing. Students in programs such as business, data science, social science, medicine, engineering, and more will benefit from this course. Format: A combination of lectures by Professor Santo Fortunato; practical sessions with tutorials, exercises, and collaborative mini-projects; and office hours with teaching assistants. A certificate of participation will be awarded to individuals completing the full course. Apply by May 15, 2024 — https://sites.google.com/view/netsci-course. Colloquium of the Network Science Society The NetSci Colloquium series is hosted via Zoom on the last Wednesday of each month. Information on future events and recordings of previous presentations are available on the webpage of the Society: https://netscisociety.net/events/colloquium/. The next colloquium, which takes place on April 24 , 2024 at 10:00 am U.S. Eastern Time, will feature a presentation by Samuel V. Scarpino, Northeastern University. On the Shape of Epidemics Abstract The SARS-CoV-2 pandemic upended our societies and re-shaped the way we go about our day-to-day lives—from how we work and interact to the way we buy groceries and attend school. In this talk, I will present a series of studies quantifying how our behavior, mobility patterns, and social networks shaped and were shaped by COVID-19. Leveraging global data sets that represent billions of people, I will show how myriad factors interacted to structure the course of the pandemic. Then, by connecting the mathematics of epidemics to classical theory from ecology, I will outline a strategy for preventing future outbreaks from growing into pandemics. Finally, using the lessons learned from COVID-19, I discuss how we might balance the ethical and privacy considerations around high-resolution data with their critical role in responding to epidemics.