The challenges of predatory journals and paper mills in mathematics: A glimpse at the parallel universe of fake science.

Speaker: 

Ilka Agricola

Institution: 

University of Marburg

Time: 

Wednesday, October 9, 2024 - 2:00pm to 3:00pm

Host: 

Location: 

RH340P

In November 2023, Clarivate Plc announced that it had excluded the entire field of mathematics from the most recent edition of its influential list of authors of highly cited papers because of massive citation manipulation, which in return influences the so-called “Shanghai ranking” of top universities (or those claiming to be top). While most mathematicians would probably not care, the exclusion is in fact the tip of the iceberg of a parallel universe of predatory and mega-journals whose main purpose is to offer publishing opportunities for whoever is willing to pay the right price. I will explain how the system works, why we should care, and what measures we can all take against. In preparation, I invite you to think about the following questions: How often have you been contacted in the past months to attend a conference not in your field / submit a paper to  or edit a special issue in a journal you don’t know / review an article within 10 days or so? What do you know about the following journals: “Mathematics”, “Axioms” (published by MDPI), “Chaos, solitons, fractals” (Elsevier), “Journal of Difference Equations” (Springer)? Do you know the following mathematicians: Abdon Atangana, Dumitru Baleanu, Hari M. Srivastava? 

This talk is related to my work as  Chair of the Committee on Electronic Information and Communication (= publishing) of the International Mathematical Union.

Backpropagation and adjoint differentiation of chaos

Speaker: 

Angxiu Ni

Institution: 

Tsinghua University

Time: 

Monday, January 29, 2024 - 4:00pm to 5:00pm

Host: 

Location: 

Zoom - https://uci.zoom.us/j/8706895753

Computing the derivative of long-time-averaged observables with respect to system parameters is a central problem for many numerical applications. Conventionally, there are three straight-forward formulas for this derivative: the pathwise perturbation formula (including the backpropagation method used by the machine learning community), the divergence formula, and the kernel differentiation formula. We shall explain why none works for the general case, which is typically chaotic (also known as the gradient explosion phenomenon), high-dimensional, and small-noise.

We present the fast response formula, which is a 'Monte-Carlo' type formula for the parameter-derivative of hyperbolic chaos. It is the average of some function of u-many vectors over an orbit, where u is the unstable dimension, and those vectors can be computed recursively. The fast response overcomes all three difficulties under hyperbolicity assumptions. Then we discuss how to further incorporate the kernel differentiation trick to overcome non-hyperbolicity.

Quantifying Infinitude in Algebraic Structures: Growth, Local Smallness, and Global Largeness

Speaker: 

Be'eri Greenfeld

Institution: 

U Washington

Time: 

Thursday, January 11, 2024 - 2:00pm to 3:00pm

Host: 

Location: 

NS 1201

The growth of an infinite-dimensional algebra is a fundamental tool to measure its "size." The growth of noncommutative algebras plays an important role in noncommutative geometry, representation theory, differential algebraic geometry, symbolic dynamics, homological stability results, and more. 

We analyze the space of growth functions of algebras, answering a question of Zelmanov on the existence of certain 'holes' in this space, and provide evidence for the ampleness of the possible growth rates of algebras with prescribed properties; we conclude a strong quantitative solution of the Kurosh Problem on algebraic algebras.

Utilizing new layers of the interplay between noncommutative algebra and symbolic dynamics, we exhibit surprising pathologies in the prime spectrum and tensor product structure of algebras with polynomial growth, thereby providing counterexamples to questions of Bergman, Krause, Lenagan, and others; applying our methods to algebras of faster growth types, we resolve a conjecture of Bartholdi on amenable representations in exponential growth.

Finally, the largest objects (groups, algebras, Lie algebras) are, in many contexts, those containing free substructures. We discuss the coexistence of this phenomenon with finiteness properties -- in particular, "almost algebraicity" of algebras and "almost periodicity" of groups -- from algebraic, geometric, and probabilistic perspectives.

This talk is partially based on joint works with Bell, Goffer, and Zelmanov.

Modified diagonal and symmetry of a curve

Speaker: 

Congling Qiu

Institution: 

MIT

Time: 

Wednesday, January 10, 2024 - 2:00pm to 3:00pm

Host: 

Location: 

NS 1201

The modified diagonal on the triple product of a curve was first introduced by Gross and Schoen in the 90’s. This simply defined object holds fundamental importance in the study of the geometry and arithmetic of curves. One basic question is whether the modified diagonal vanishes under “deformation”. I will introduce the origin of this type of question and provide a brief history of the study of the modified diagonal. Subsequently, I will discuss my collaborative works with W. Zhang, where we demonstrated that such vanishing can be dictated by the symmetry of the curve. As an application in number theory, we proved a case of the notorious Beilinson—Bloch conjecture, a generalization of the Millennium Birch—Swinnerton-Dyer conjecture. Finally, I want to propose some new questions.

 

Why can Kontsevich's invariants detect exotic phenomena?

Speaker: 

Xujia Chen

Institution: 

Harvard

Time: 

Friday, January 19, 2024 - 2:00pm to 3:00pm

Host: 

Location: 

NS 1201

In topology, the difference between the category of smooth manifolds and the category of topological manifolds has always been a delicate and intriguing problem, called the "exotic phenomena". The recent work of Watanabe (2018) uses the tool "Kontsevich's invariants" to show that the group of diffeomorphisms of the 4-dimensional ball, as a topological group, has non-trivial homotopy type. In contrast, the group of homeomorphisms of the 4-dimensional ball is contractible. Kontsevich's invariants, defined by Kontsevich in the early 1990s from perturbative Chern-Simons theory, are invariants of (certain) 3-manifolds / fiber bundles / knots and links (it is the same argument in different settings). Watanabe's work implies that these invariants detect exotic phenomena, and, since then, they have become an important tool in studying the topology of diffeomorphism groups. It is thus natural to ask: how to understand the role smooth structure plays in Kontsevich's invariants? My recent work provides a perspective on this question: the real blow-up operation essentially depends on the smooth structure, therefore, given a manifold / fiber bundle X, the topology of some manifolds / bundles obtained by doing some real blow-ups on X can be different for different smooth structures on X

Ricci flow and Hamilton's flying wing Conjecture

Speaker: 

Yi Lai

Institution: 

Stanford

Time: 

Tuesday, January 16, 2024 - 2:00pm to 3:00pm

Host: 

Location: 

NS 1201

Ricci flow is an important tool in geometric analysis. There have been remarkable topology applications of Ricci flow on closed manifolds, such as the Poincaré Conjecture resolved by Perelman, and the recent Generalized Smale Conjecture resolved by Bamler-Kleiner. In contrast, much less is known about the Ricci flow on open manifolds. Solitons produce self-similar Ricci flows, and they often arise as singularity models. Collapsed singularities and solitons create additional difficulties for open manifolds. In this talk, I will survey some recent developments in Ricci flow on open manifolds. In particular, I will talk about the resolution of Hamilton's Flying Wing Conjecture, and the resulting collapsed steady solitons.

Doubling method for Monge-Ampere and special Lagrangian type equations

Speaker: 

Ravi Shankar

Institution: 

Princeton

Time: 

Friday, January 12, 2024 - 2:00pm to 3:00pm

Host: 

Location: 

NS 1201

We present a new, recent doubling method for establishing a priori estimates, then classical solvability and regularity for solutions to fully nonlinear PDEs.  The method produces the missing estimates for the quadratic Hessian and prescribed hypersurface scalar curvature PDEs in dimension four.  It also gives new proofs of the estimates and regularity for Monge–Ampère and special Lagrangian equations and provides prospects for classical solvability of alternative Dirichlet problems.

Creativity in the classroom: experiences from teaching in a Data Science bachelor program

Speaker: 

Constanza Rojas Molina

Institution: 

CY Cergy Paris University

Time: 

Tuesday, April 12, 2022 - 10:00am to 11:00am

Location: 

https://uci.zoom.us/j/92531194158

In this talk I will share my experiences teaching in the Bachelor on Data Science program of CY Cergy Paris University. Created in 2018, this program aims to train data scientists with a strong base of mathematics and informatics and hands-on experiences, and is considered to be an incubator for innovative pedagogies within the university.

 

Teaching in this program meant transitioning from a classical teaching approach, lecturer-centered, to a more student-centered approach, incorporating in the process new pedagogies, like Project-Based-Learning. The students enrolled are from international and backgrounds, and the teaching experience in the last years was heavily impacted by the COVID-19 pandemic. This resulted in a deep questioning of the teaching practice that I believe will change forever the way we understand the role of the lecturer and the student in higher education.
 

I hope to share with the audience the challenges, successes and lessons learnt from this experience in the last years.

Sparsity in Data Science, Mentoring Undergraduates in Research, and Service Contributions to Teaching

Speaker: 

Fred Park

Institution: 

Whittier College

Time: 

Thursday, March 31, 2022 - 3:00pm to 4:00pm

Location: 

Zoom Meeting https://uci.zoom.us/j/92166021194 Meeting ID: 921 6602 1194

 

 

In the first part of this talk, I will discuss sparsity in data science by looking at two applications. The first in machine learning, where I will briefly introduce supervised classification and neural networks. I will then show how sparsity can be used to prune and compress these networks while retaining or even improving accuracy. The second application involves image segmentation. Here, I will show the role of sparsity in capturing boundaries of salient objects in an image. In the second part of this talk, I will discuss my experience with mentoring undergraduates in research by looking at two case studies. One in segmentation, and the other, in data clustering. Finally, I'll talk a bit about some of my service contributions and how they tie into student affairs and teaching.

Research Experiences for Undergraduates: a Compendium of Multidisciplinary Applied Math Projects

Speaker: 

Michael Lindstrom

Institution: 

UCLA

Time: 

Tuesday, February 1, 2022 - 4:00pm to 5:00pm

Location: 

https://uci.zoom.us/j/97144933986 Meeting ID: 971 4493 3986 One tap mobile +16699006833,,97144933986#

In this talk, we will review a number of past and ongoing research projects, primarily involving undergraduates, in applied mathematics. The topics span a variety of domains such as, but not limited to, (1) physics, including investigating how surface roughness perturbs magnetic fields in superconductors and experimental studies of negatively buoyant particles flowing in a viscous suspension under gravity; (2) social sciences, including using machine learning to build predictive models for changes within the homeless population of Los Angeles; and (3) biology/medicine, including studying how COVID-19 affects the disabled community and developing an ab initio model to quantify how oligomers of amyloid beta can lead to Alzheimer's Disease. The projects have been carried out through directed research courses and summer REU programs.

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