Scientific Calendar

PLEASE NOTE: Due to ongoing concerns about the COVID-19 virus, ICTP conferences, schools and workshops that were to be held in person in Trieste this year are cancelled for the first half of 2021. Many activities are now being conducted online. 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 organizations 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 4 records

Europe/Rome Join Zoom Meeting https://zoom.us/j/475819702 Meeting ID: 475-819-702 If you haven't registered for previous QLS webinars, please contact qls@ictp.it to obtain the PASSWORD for this zoom meeting Abstract: Kelly's solution to allocating bets in a horse race, or other gambling games, maximizes the long-term growth rate, but is known to be risky. Here, I will describe optimal betting strategies that give the highest capital growth rate while keeping a certain low value of risk, that is, an optimal trade-off between the average and the fluctuations. This trade-off is also embodied in a general bound similar to thermodynamic uncertainty relations. Finally, I will discuss possible future applications in biology. This trade-off is also believed to operate in situations known generically in biology as "bet-hedging". Organisms may exchange a reduction of their present fitness for increased fitness in a possible future stressful condition. Some type of bet-hedging mechanism is believed to operate in the production of seeds by plants or in the resistance to antibiotics. Zoom Meeting ICTP pio@ictp.it

Seminar

20 Apr 2021

@ Zoom Meeting

Quantitative Life Sciences

Gambling, thermodynamic uncertainty and bet-hedging

Speaker(s): Luis Dinis - Department of Structure of Matter, Thermal Physics and Electronics, Universidad Complutense de Madrid, Spain

Support E-Mail: qls@ictp.it

Seminar Start Time: 15:00

Europe/Rome An ICTP virtual meeting The aim of the conference is to give young researchers the opportunity to present their results related to high-dimensional statistical problems, as arising in machine learning, inference or statistical physics. Typical problems in high-dimensions include the detection and estimation of noisy signals (compressed sensing, PCA and tensor decomposition etc), the analysis of (deep) neural-networks and their learning and generalization dynamics, the detection of communities in large networks, or disordered spin systems. While these problems may seem of different natures, they actually share many similarities in their common phenomenology and the tools used to analyze 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: Machine learning High-dimensional statistics Applied maths Computer sciences Speakers: L. BENIGNI, University of Chicago, USA M. CELENTANO, Stanford University, USA L. CHIZAT, University of Paris-Saclay SY. CHUNG, Massachusetts Institute of Technology, USA Z. FAN, Yale University, USA C. GERBELOT, ENS Paris, France A. GLIELMO, SISSA, Italy A. INGROSSO, ICTP, Italy A. JACOT, EPFL, Switzerland F. MASTROGIUSEPPE, University College London, UK F. MIGNACCO, IPHT Saclay, France T. MISIAKIEWICZ, Stanford University, USA P. NAKKIRAN, Harvard University, USA M. REFINETTI, ENS Paris, France C. RUSH, Columbia University, USA T. SCHRAMM, Stanford University, USA S. VILLAR, Johns Hopkins University, USA I. ZADIK, New York University, USA J. ZARKA, ENS Paris, France Registration: There is no registration fee. Online - ICTP pio@ictp.it

Activity

15 Jun 2021 - 18 Jun 2021

@ Online -

Quantitative Life Sciences

Youth in High-Dimensions | (smr 3602)

Room: Online

Secretary: Monica Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Marylou Gabrie (NYU / Flatiron), Sebastian Goldt (SISSA), Marco Mondelli (IST Austria), Local Organiser: Jean Barbier

Support E-Mail: smr3602@ictp.it

**DEADLINE: 07/06/2021**

Europe/Rome An ICTP virtual meeting The London Mathematical Laboratory (LML) is pleased to announce its 2021 Summer School. This will be held as an ICTP Virtual school from 5 to 30 July 2021. The school engages postgraduate students for a period of four weeks on research projects under the supervision of active research scientists. Each project addresses one or more open questions in order to expose students to the frontier of scientific cross-disciplinary research in several fields (statistical physics, systems ecology, quantitative economics, dynamical systems, information and large deviation theory, and neural networks). This provides a first hand experience of “research in action”, where asking the right questions is at least as important as finding the right answers. Many previous students have found this a life changing experience that transformed their view of science as an activity and as a possible career. The list of projects: 1. Stability of ecosystems with a core-periphery structure 2. The evolution of income or wealth distribution with higher order autoregressive processes 3. Exploring the Connections between Information Theory and Ergodicity Economics Through the Lens of Inequality Measurement 4. Growth incidence curves in reallocating geometric Brownian motion 5. Optimal allocation and risk parity 6. Time-average based saving versus Ensemble-average based saving and the evolution of wealth distribution 7. Learning random dynamical systems from data 8. Explainability and rationalization in decision theory: a coding theory approach 9. Beyond Rational Herding 10. Verifying interaction among different types of discrete events by using the multivariate Hawkes process 11. Anomalous diffusion in random dynamical systems 12. The trade-off between profit and time constraints and market impact 13. Large deviation theory in diluted random matrices 14. Tackling Quantum Many-Body Systems with Artificial Neural Networks 15. Experiments in ergodicity 16. Epidemic spreading models in the presence of feedback Supervisors include LML Fellows and colleagues from the ICTP and the International School for Advanced Studies (SISSA). Students will also attend a series of scientific lectures and a scientific writing course, and the School will culminate with student presentations of their research. Project Supervisors: A. ADAMOU, London Mathematical Laboratory, UK Y. BERMAN, London Mathematical Laboratory, UK J. BHASEEN, King’s College London, UK F. CACCIOLI, University College London, UK I.P. CASTILLO, Universidad Autónoma Metropolitana, Mexico D. DE MARTINO, Biofisika Institute - Ikerbasque, Spain J. GRILLI, ICTP, Italy O. HULME, Copenhagen University Hospital Hvidovre, Denmark R. KANBUR, Cornell University, USA M. KIRSTEIN, London Mathematical Laboratory, UK R. KLAGES, Queen Mary University of London, UK J. LAMB, Imperial College, UK S. LUZZATTO, ICTP, Italy M. MARSILI, ICTP, Italy L.F. METZ, Federal University of Rio Grande do Sul, Brazil O. PETERS, London Mathematical Laboratory, UK S. RUFFO, SISSA, Italy Y. SATO, Hokkaido University, Japan M. WERNER University of Bristol, UK J. ZHUANG ISM, Japan Grants: London Mathematical Laboratory intends to provide a grant of 500 EUR to all selected participants. Further information will be provided in due course. Registration: There is no registration fee. Online - ICTP pio@ictp.it

Activity

5 Jul 2021 - 30 Jul 2021

@ Online -

Quantitative Life Sciences

London Mathematical Laboratory Summer School | (smr 3598)

Room: Online

Secretary: Monica Ancuta, Viktoriya Lvova, Adriana Pinto

Organizer(s): Isaac Pérez Castillo (Universidad Autónoma Metropolitana), Local Organiser: Matteo Marsili

Cosponsor(s): London Mathematical Laboratorylml, Universidad Autónoma Metropolitana - Unidad Iztapalapauamiz

Support E-Mail: smr3598@ictp.it

**DEADLINE: 30/04/2021**

Activity

1 Dec 2021 - 17 Dec 2021

@ Bengaluru - India

Quantitative Life Sciences

ICTP-ICTS Winter School on Quantitative Systems Biology 2021 | (smr 3616)

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

Secretary: Erica Sarnataro

Organizer(s): Vatsala Thirumalai (National Centre for Biological Sciences, Bangalore), Sanjay Sane (National Centre for Biological Sciences, Bangalore.), Sharad Ramanathan (Harvard University, Cambridge, MA), Venkatesh N. Murthy (Harvard University, Cambridge, MA), ICTP Scientific Contact: Antonio Celani

ICTP - Strada Costiera, 11
I - 34151 Trieste Italy
(+39) 040 2240 111
pio@ictp.it

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

HECAP

CMSP

MATH

ESP

STI

QLS

New Research Areas

Scientific Calendar

Seminar

Quantitative Life Sciences

Gambling, thermodynamic uncertainty and bet-hedging

Activity

Quantitative Life Sciences

Youth in High-Dimensions | (smr 3602)

Activity

Quantitative Life Sciences

London Mathematical Laboratory Summer School | (smr 3598)

Activity

Quantitative Life Sciences

ICTP-ICTS Winter School on Quantitative Systems Biology 2021 | (smr 3616)

CheckRedirectPage

HECAP

CMSP

MATH

ESP

STI

QLS

New Research Areas

Scientific Calendar

Archive

Activities by year

Search

Filter by keyword

Filter by research sector

Filter by date

Seminar

Quantitative Life Sciences

Gambling, thermodynamic uncertainty and bet-hedging

Activity

Quantitative Life Sciences

Youth in High-Dimensions | (smr 3602)

Activity

Quantitative Life Sciences

London Mathematical Laboratory Summer School | (smr 3598)

Activity

Quantitative Life Sciences

ICTP-ICTS Winter School on Quantitative Systems Biology 2021 | (smr 3616)

CheckRedirectPage