Scientific Calendar

PLEASE NOTE: Due to ongoing concerns about the COVID-19 virus, ICTP conferences, schools and workshops are now being conducted mostly online until further notice. Please check ICTP's Scientific Calendar frequently for updates.

NEW: Attend one of ICTP's virtual seminars.

Each year, ICTP organizes more than 60 international conferences, workshops, and numerous seminars and colloquia.

Interested in attending an activity? Complete an online application form: Events in the scientific calendar that have an "smr" number require participants to apply online. Click on the activity and complete the online application form.
Have a question about an "smr" activity? Please contact the organizers at smrXXXX (x being the 4-digit number of the activity)@ictp.it
Wondering about the status of your application to an "smr" activity? Access your profile in the ICTP portal to check.
Want to propose a conference, school or workshop? See our guidelines.
External organisations can pay for and organize their own high-level scientific and cultural events at ICTP. Details for these "Hosted Activities" are available in the Logistic Guidelines for Hosted Activities (pdf download).
Travel fellowships for ICTP conferences and workshops are available.

Showing 7 records

Europe/Rome An ICTP Hybrid Meeting. You can submit your application for participation in presence or online. This school on random matrices and graphs, machine learning and statistical physics will emphasize the strong connections between these fields, strenghten the analytical toolbox of the students and provide a modern vision of the challenges in high-dimensional statistics. Inference and learning systems have been studied for decades. But the richness of contemporary high-dimensional statistical models (deep neural networks, community detection and inference on graphs, tensor factorization etc) require novel ideas and analytical methods. In particular, blending methods from random matrix theory, statistical physics and information theory is particularly promising. The school aims at providing an overview of recent progresses in this interdisciplinary field by worldwide experts coming from different backgrounds, but who all share a common goal of better modelling complex systems processing large datasets, and understanding their fundamental and algorithmic limitations. Topics: High-dimensional statistics Random matrix theory Statistical physics Information theory Theoretical machine learning Graph theory Lecturers: C. MALE, Bordeaux University, France L. MASSOULIÉ, INRIA Paris, France M. LELARGE, INRIA Paris & Ecole Polytechnique, France M. POTTERS, Capital Fund Management, France P. VIVO, King's College London, UK Grants: A limited number of grants are available to support the attendance of selected participants. There is no registration fee. In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors. ICTP ICTP pio@ictp.it

Activity

16 May 2022 - 20 May 2022

@ ICTP

Quantitative Life Sciences

Random Matrices, Random Graphs and Statistical Physics for Machine Learning and Inference | (smr 3703)

Address: Strada Costiera, 11 I - 34151 Trieste (Italy)

Room: Giambiagi Lecture Hall (AGH)

Secretary: Monica Petronela Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Sandrine PÉCHÉ (Université Paris, France), Vianney PERCHET (CREST, ENSAE, France), Jean Francois Emmanuel BARBIER (ICTP, Italy), Local Organiser: Jean Barbier (ICTP)

Cosponsor(s): Institut Universitaire de Franceiuf

Support E-Mail: smr3703@ictp.it

**DEADLINE: 01/04/2022**

Europe/Rome An ICTP Meeting in presence Microbial communities populate every corner of our planet, providing essential services to the ecosystems they are part of. The forces shaping their organization act on wide spatial and temporal scales. The fundamental constituents of communities are individual cells, which, typically, experience a local environment of the order of tens of microns and duplicate as fast as 20 minutes. On the other hand, microbial communities modify the environment on a scale of tens of meters. Understanding how the interactions, the environmental fluctuations, and the phenotypic heterogeneity occurring at the micro-scale affect the large-scale properties of microbial communities is one of the main challenges in microbial ecology. More broadly, microbial communities are the prototypical example of complex adaptive systems: a large number of heterogeneous, adaptive, agents interact at a microscopic scale giving rise to emergent properties at the macroscopic scale. This huddle aims at bringing together experimentalists and theorists to develop new understanding and new approaches to connect the fundamental biological processes occurring at the microscale with the phenomena observed at the macroscale. Topics: Microbial ecology Theoretical community ecology Spatial ecology Eco-evolutionary dynamics Stochastic processes Single-cell experimental ecology Macroecology Ecological networks Population genetics Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee. In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors. ICTP ICTP pio@ictp.it

Activity

6 Jun 2022 - 24 Jun 2022

@ ICTP

Quantitative Life Sciences

Eco-evolutionary Dynamics of Microbial Communities Across Scales | (smr 3714)

Address: Strada Costiera, 11 I - 34151 Trieste (Italy)

Room: Giambiagi Lecture Hall (AGH)

Secretary: Monica Petronela Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Otto X. CORDERO (MIT), Alma DAL CO (Swiss National Centre of Competence in Research for Microbiomes), Silvia DE MONTE (CNRS, Institute of Biology of ENS), Ricardo Martinez GARCIA (ICTP-SAIFR), Rodrigo ROCHA (Universidade Federal de Santa Catarina), Antonio CELANI (ICTP), Matteo MARSILI (ICTP), Emanuele PANIZON (ICTP), Local Organiser: Jacopo Grilli (ICTP)

Support E-Mail: smr3714@ictp.it

**DEADLINE: 31/03/2022**

Europe/Rome An ICTP Hybrid Meeting “Youth in high dimensions” gives to young researchers from academia and industry the opportunity to gather and present recent results on high-dimensional statistical problems, in areas ranging from machine learning and inference to neuroscience or statistical physics. Typical problems in high-dimensions include estimating noisy signals (compressed sensing, PCA and tensor decomposition), analysing (deep) neural-networks, detecting communities in large networks, or modelling disordered spin systems. These seemingly unrelated problems share many similarities in their phenomenology and in the tools used to analyse them. The core of the field is made of a very active, diverse and quickly expanding community of physicists, computer scientists, mathematicians, information theorists and engineers, with the common desire to tackle increasingly challenging problems at the forefront of data science. This conference aims at reinforcing the links among this interdisciplinary community, and in particular of its youngest theory-oriented members, and to bring forward the latest development happening in the high-dimensional world. Topics: High-dimensional statistics Statistical physics Machine learning Complex systems Random matrix theory Computational neuroscience Speakers: A. ALTIERI, Université Paris Cité, France A. BIETTI, NYU, USA E. CORNACCHIA, EPFL, Switzerland N. FLAMMARION, EPFL, Switzerland L. FOINI, CNRS IPhT Université Paris-Saclay, France M. GEIGER, MIT, USA J. HAN, Flatiron Institute, USA J. KADMON, The Hebrew University, Israel J. KO, ENS Lyon, France M. LINDSEY, NYU, USA B. MCKENNA, IST, Austria C. PEHLEVAN, Harvard University, USA N. RAZIN, Tel Aviv University, Israel D. SCHRÖDER, ETH, Switzerland M. SELLKE, Stanford University, USA G. SICURO, King’s College London, UK C. THRAMPOULIDIS, University of British Columbia, USA Y. WEI, University of Pennsylvania, USA F. YANG, ETH, Switzerland Y. ZHU, University of California, USA Please note in the application form you will be asked to submit a poster abstract. A number of abstracts will be selected for the poster session. Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee. In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors. ICTP ICTP pio@ictp.it

Activity

27 Jun 2022 - 30 Jun 2022

@ ICTP

Quantitative Life Sciences

Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference | (smr 3719)

Address: Strada Costiera, 11 I - 34151 Trieste (Italy)

Room: Budinich Lecture Hall (LB)

Secretary: Monica Petronela Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Marylou GABRIÉ (Ecole Polytechnique, France ), Sebastian GOLDT (SISSA, Italy), Marco MONDELLI (IST, Austria), Jean BARBIER (ICTP, Italy), Local Organiser: Jean Barbier (ICTP)

Support E-Mail: smr3719@ictp.it

**Note: the deadline on the 8th May 2022 is for all applications needing financial support and/or visa. The deadline on the 20th of June 2022 is for only online applications.****DEADLINE: 20/06/2022**

Europe/Rome An ICTP Hybrid Meeting. You can submit your application for participation in presence or online. The workshop aims at fostering a science based consensus on challenges that are central to sustainability, such as the rising inequality, demographic crises, migrations, biodiversity loss, and impacts of climate change. A wider integration of methods from hard sciences to statistical approaches and demography is needed in order to pursue the identification of general mechanisms, universal features, and stylized facts that are the roots of an comprehensive understanding of the determinants of sustainability. In particular the workshop will tackle key challenges such as: 1) the mismatch of time-scales between policy measures and the relevant systems' dynamics, 2) accounting for the human impacts and agency and 3) the integration of different dimensions (e.g. inequality, climate, biodiversity, etc). The ultimate aim is to shed light on the determinants of sustainability in systems of human and non-human interacting agents, with a large scale connectivity in order to delineate a research agenda on how basic sciences can contribute to sustainable development. The workshop will bring together scientists from different disciplines (economics, ecology, demography, physics, complex systems science, climatology, epidemiology, social sciences, and intelligent systems) in order to promote a wider integration of methods across disciplines. Speakers include: S. BARRETT, Columbia University, USA M. BENZAQUEN, Ecole Polytechnique, France L. BETTENCOURT, University of Chicago, USA J. COHEN, Rockefeller University and Columbia University, USA S. CRABTREE, Santa Fe Institute, USA M. DACOROGNA, University of Zurich, Switzerland A. DASGUPTA, UK Foreign, Commonwealth and Development Office, Nigeria P. DASGUPTA, Cambridge University, UK S. DIAZ, University of Cordoba, Argentina B. FATH, Towson University, Maryland, USA & IIASA, Austria M. FRANCO GAVONEL, Oxford University, UK M. GALESIC, Santa Fe Institute, USA S. GIETEL-BASTEN, Hong Kong University of Science and Technology, Hong Kong P. GONG, Tsinghua University, China A. GOUJON, IIASA and Austrian Academy of Sciences, Vienna Institute of Demography, Austria M. LOREAU, CNRS, France P.A. MARQUET, Pontificia Universidad Católica de Chile and Santa Fe Institute, USA E. OMODEI, Central European University, Austria S. SCHERBOV, IIASA, Austria D.P. SCHRAG, Harvard University, USA J. SHAWE-TAYLOR, University College London UK and IRCAI Ljubljana, Slovenia A. VESPIGNANI, Northeastern University, USA D. WOLPERT, Santa Fe Institute, USA Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee. In person participation: As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page Access Guidelines for Visitors. ICTP ICTP pio@ictp.it

Activity

25 Jul 2022 - 29 Jul 2022

@ ICTP

Quantitative Life Sciences

Workshop on Quantitative Human Ecology | (smr 3728)

Address: Strada Costiera, 11 I - 34151 Trieste (Italy)

Room: Budinich Lecture Hall (LB)

Secretary: Monica Petronela Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Stefano FANTONI (FIT, Italy), David KRAKAUER (SFI, USA), Simon LEVIN (Princeton University, USA), Marija MAMOLO (ISTAT, Italy), Guido SANGUINETTI (SISSA, Italy), Jacopo GRILLI (ICTP, Italy), Matteo MARSILI (ICTP, Italy), Local Organiser: Matteo Marsili (ICTP)

Cosponsor(s): International Year of Basic Sciences for Sustainable Developmentiybssd, U.S. Mission to the UN Agencies in Romeusmit1, FONDAZIONE INTERNAZIONALE TRIESTE PER IL PROGRESSO E LA LIBERTÀ DELLE SCIENZEfit1

Support E-Mail: smr3728@ictp.it

**DEADLINE: 12/06/2022****Note: the deadline on 1 May 2022 is for applications needing financial support and/or visa and on 12 June 2022 for online applications.**

Europe/Rome Complex signals are ubiquitous in non-equilibrium physics, biophysical processes, and in the noise of measurement devices. The school will provide advanced tools from information theory, statistical physics and machine learning to offer participants key knowledge on stochastic analysis and modelling. Topics: Control theory Entropy foundations Mean field theory and inference methods Information theory Biophysics Stochastic thermodynamics Speakers: Ada ALTIERI (Université de Paris, France) Andre C. BARATO (University of Houston, USA) John BECHHOEFER (Simon Fraser University, Canada) Jan KORBEL (Complexity Science Hub Vienna, Austria) Juan MR PARRONDO (Universidad Complutense de Madrid, Spain) Dimitri PETRITIS (Université de Rennes, France) Iva TOLIC (Ruder Boskovic Institute Zagreb, Croatia) -- online colloquium Volunteers: Bogdan Djordjević (MISANU, Belgrade, Serbia), Katarina Djordjević (PMF, University of Nis, Serbia), Lazar Stojković (PMF, University of Nis, Serbia) Nis - Serbia ICTP pio@ictp.it

Activity

19 Sep 2022 - 30 Sep 2022

@ Nis - Serbia

Quantitative Life Sciences

School on Information, Noise, and Physics of Life | (smr 3736)

Secretary: Erica Sarnataro

Organizer(s): Raphael Chetrite (Universite Cote d'Azur, Nice, France), Andjelka Hedrih (Mathematical Institute of SASA, Belgrade, Serbia), Velimir Ilic (Mathematical Institute of SASA, Belgrade, Serbia), ICTP Scientific Contact: Edgar Roldan (ICTP)

Cosponsor(s): Mathematical Institute of the Serbian Academy of Sciences and Artsmisanu

Support E-Mail: smr3736@ictp.it

**DEADLINE: 31/07/2022**

Activity

31 Oct 2022 - 7 Nov 2022

@ Seoul - Republic of Korea

Quantitative Life Sciences

ICTP-KIAS School on Statistical Physics for Life Sciences | (smr 3746)

Address: Strada Costiera, 11 I - 34151 Trieste (Italy)

Secretary: Erica Sarnataro

Organizer(s): Changbong Hyeon (KIAS), Junghyo Jo (Seoul National University), ICTP Scientific Contact: Antonio Celani (ICTP)

Activity

5 Dec 2022 - 16 Dec 2022

@ ICTP

Quantitative Life Sciences

ICTP-ICTS Winter School on Quantitative Systems Biology | (smr 3755)

Address: Strada Costiera, 11 I - 34151 Trieste (Italy)

Room: Budinich Lecture Hall (LB)

Secretary: Monica Petronela Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Vijay Balasubramanian (University of Pennsylvania), Pratik Chaudari (University of Pennsylvania), Guido Sanguinetti (SISSA), Matteo Marsili (ICTP), Local Organiser: Antonio Celani (ICTP)

Support E-Mail: 3755@ictp.it

ICTP - Strada Costiera, 11
I - 34151 Trieste Italy
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pio@ictp.it

ICTP is governed by UNESCO, IAEA, and Italy, and is a UNESCO Category 1 Institute

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Quantitative Life Sciences

Random Matrices, Random Graphs and Statistical Physics for Machine Learning and Inference | (smr 3703)

Activity

Quantitative Life Sciences

Eco-evolutionary Dynamics of Microbial Communities Across Scales | (smr 3714)

Activity

Quantitative Life Sciences

Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference | (smr 3719)

Activity

Quantitative Life Sciences

Workshop on Quantitative Human Ecology | (smr 3728)

Activity

Quantitative Life Sciences

School on Information, Noise, and Physics of Life | (smr 3736)

Activity

Quantitative Life Sciences

ICTP-KIAS School on Statistical Physics for Life Sciences | (smr 3746)

Activity

Quantitative Life Sciences

ICTP-ICTS Winter School on Quantitative Systems Biology | (smr 3755)

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Activity

Quantitative Life Sciences

Random Matrices, Random Graphs and Statistical Physics for Machine Learning and Inference | (smr 3703)

Activity

Quantitative Life Sciences

Eco-evolutionary Dynamics of Microbial Communities Across Scales | (smr 3714)

Activity

Quantitative Life Sciences

Youth in High-Dimensions: Recent Progress in Machine Learning, High-Dimensional Statistics and Inference | (smr 3719)

Activity

Quantitative Life Sciences

Workshop on Quantitative Human Ecology | (smr 3728)

Activity

Quantitative Life Sciences

School on Information, Noise, and Physics of Life | (smr 3736)

Activity

Quantitative Life Sciences

ICTP-KIAS School on Statistical Physics for Life Sciences | (smr 3746)

Activity

Quantitative Life Sciences

ICTP-ICTS Winter School on Quantitative Systems Biology | (smr 3755)

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