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February 9, 2016 — We Congratulate Janet M. Currie, the Henry Putnam Professor of Economics and Public Affairs, Chair of T
— February 9, 2016 — We congratulate Janet M. Currie, the Henry Putnam professor of economics and public affairs, chair of the Economics Department and director of the Center for Health and Well-Being at Princeton University, on receiving the 2015 Carolyn Shaw Bell Award from the Committee on the Status of Women in the Economics Profession (CSWEP) of the American Economic Association (AEA). From the AEA website: “Currie excels in her scholarship, in her teaching and advising, in mentoring, and in her service to the profession. She is an innovative and prolific scholar whose work spans labor, public and health economics. She has made fundamental contributions in many areas and is best known for her work on public policy issues affecting child health and wellbeing. Her work is notable for combining a focus on important, policy-relevant questions with unassailable objectivity and scrupulous attention to methodological detail. Currie’s concern for the development of the next generation of economists is expressed in her dedicated mentorship of colleagues and students, both male and female, who praise her sage, practical, no-nonsense advice and her creativity in devising solutions. She is known for her commitment to gender equity in economics and . led the research team that produced the only rigorous scientific evidence for the efficacy of a mentoring program.” She will become a member of CNSTAT in July 2016 and served on the CNSTAT panel that produced Estimating Eligibility and Participation for the WIC Program: Final Report in 2003. We congratulate Jeri Mulrow on her appointment as principal deputy director of the Bureau of Justice Statistics (BJS), effective January 25, 2016. -
Opportunities for US-Israeli Collaborations in Computational Neuroscience
Opportunities for US-Israeli Collaborations in Computational Neuroscience Report of a Binational Workshop* Larry Abbott and Naftali Tishby Introduction Both Israel and the United States have played and continue to play leading roles in the rapidly developing field of computational neuroscience, and both countries have strong interests in fostering collaboration in emerging research areas. A workshop was convened by the US-Israel Binational Science Foundation and the US National Science Foundation to discuss opportunities to encourage and support interdisciplinary collaborations among scientists from the US and Israel, centered around computational neuroscience. Seven leading experts from Israel and six from the US (Appendix 2) met in Jerusalem on November 14, 2012, to evaluate and characterize such research opportunities, and to generate suggestions and ideas about how best to proceed. The participants were asked to characterize the potential scientific opportunities that could be expected from collaborations between the US and Israel in computational neuroscience, and to discuss associated opportunities for training, applications, and other broader impacts, as well as practical considerations for maximizing success. Computational Neuroscience in the United States and Israel The computational research communities in the United States and Israel have both contributed significantly to the foundations of and advances in applying mathematical analysis and computational approaches to the study of neural circuits and behavior. This shared intellectual commitment has led to productive collaborations between US and Israeli researchers, and strong ties between a number of institutions in Israel and the US. These scientific collaborations are built on over 30 years of visits and joint publications and the results have been extremely influential. -
Arxiv:1912.08821V2 [Hep-Ph] 27 Jul 2020
MIT-CTP/5157 FERMILAB-PUB-19-628-A A Systematic Study of Hidden Sector Dark Matter: Application to the Gamma-Ray and Antiproton Excesses Dan Hooper,1, 2, 3, ∗ Rebecca K. Leane,4, y Yu-Dai Tsai,1, z Shalma Wegsman,5, x and Samuel J. Witte6, { 1Fermilab, Fermi National Accelerator Laboratory, Batavia, IL 60510, USA 2University of Chicago, Kavli Institute for Cosmological Physics, Chicago, IL 60637, USA 3University of Chicago, Department of Astronomy and Astrophysics, Chicago, IL 60637, USA 4Center for Theoretical Physics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 5University of Chicago, Department of Physics, Chicago, IL 60637, USA 6Instituto de Fisica Corpuscular (IFIC), CSIC-Universitat de Valencia, Spain (Dated: July 29, 2020) Abstract In hidden sector models, dark matter does not directly couple to the particle content of the Standard Model, strongly suppressing rates at direct detection experiments, while still allowing for large signals from annihilation. In this paper, we conduct an extensive study of hidden sector dark matter, covering a wide range of dark matter spins, mediator spins, interaction diagrams, and annihilation final states, in each case determining whether the annihilations are s-wave (thus enabling efficient annihilation in the universe today). We then go on to consider a variety of portal interactions that allow the hidden sector annihilation products to decay into the Standard Model. We broadly classify constraints from relic density requirements and dwarf spheroidal galaxy observations. In the scenario that the hidden sector was in equilibrium with the Standard Model in the early universe, we place a lower bound on the portal coupling, as well as on the dark matter’s elastic scattering cross section with nuclei. -
Parental Socioeconomic Status, Child Health, and Human Capital Janet
Parental Socioeconomic Status, Child Health, and Human Capital Janet Currie and Joshua Goodman ABSTRACT Parental socioeconomic status (SES) may affect a child’s educational outcomes through a number of pathways, one of which is the child’s health. This essay asks two questions: What evidence exists about the effect of parental SES on child health? And, what evidence exists about the effect of child health on future outcomes, such as education? We conclude that there is strong evidence of both links. Introduction Investments in education pay off in the form of higher future earnings, and differences in educational attainments explain a significant fraction of the adult variation in wages, incomes, and other outcomes. But what determines a child’s educational success? Most studies point to family background as the primary factor. But why does background matter? While many aspects are no doubt important, research increasingly implicates health as a potentially major factor. The importance of health for education and earnings suggests that if family background affects child health, then poor child health may in turn affect education and future economic status. What evidence exists about the effect of parental socioeconomic status (SES) on child health? And, what evidence exists about the effect of child health on future outcomes, such as education? A great deal of evidence shows that low SES in childhood is related to poorer future adult health (Davey Smith et al., 1998). The specific question at the heart of this review is whether low parental SES affects future outcomes through its effects on child health. In most of the studies cited, SES is defined by parental income or poverty status, though some measure SES through residential neighborhood or parental schooling attainment. -
Janet Currie Address
Curriculum Vitae: Janet Currie Address: Personal: Economics Department, UCLA W. Bentley MacLeod, spouse 405 Hilgard Ave Prof. of Law and Economics, USC Los Angeles CA 90095-1477 Joana MacLeod, daughter Telephone: 310 206 8380 Daniel MacLeod, son E-mail: [email protected] Web site: http://econweb.sscnet.ucla.edu/currie Education: Ph.D. Economics, Princeton University, 1988 M.A. Economics, University of Toronto, 1983 B.A. Economics, Lorne T. Morgan Gold Medal, University of Toronto, 1982 Professional Employment: Fellow, Center for Health and Well-Being, Princeton University, 2003-4. Full Professor, University of California at Los Angeles, July 1996-present. Associate Professor, University of California at Los Angeles, July 1993. Assistant Professor, Massachusetts Institute of Technology, July 1991. Assistant Professor, University of California at Los Angeles, July 1988. Articles: “Child Research Comes of Age,” forthcoming in Canadian Journal of Economics, August, 2004. “Poverty, Food Insecurity, and Nutritional Outcomes in Children and Adults," with Jayanta Bhattacharya and Steven Haider, forthcoming in Journal of Health Economics. “Socioeconomic Status and Health: Why is the Relationship Stronger for Older Children?,” American Economic Review, v93 #5, December 2003, 1813-1823, with Mark Stabile. “Mother’s Education and the Intergenerational Transmission of Human Capital: Evidence from College Openings,” Quarterly Journal of Economics, VCXVIII #4, Nov. 2003, with Enrico Moretti, 1495-1532. “Who’s Minding the Kids?: Preschool, Day Care, and After School Care,” The Handbook of Education Economics, Finis Welch and Eric Hanushek (eds). New York: North Holland, forthcoming, with David Blau. "Networks or Neighborhoods? Correlations in the Use of Publicly-Funded Maternity Care in California”, Journal of Public Economics, with Anna Aizer, forthcoming. -
Surya Ganguli: Innovator in Artificial Intelligence
Behind the Tech Kevin Scott Podcast EP-10: Surya Ganguli: Innovator in artificial intelligence SURYA GANGULI: (VOICEOVER) A lot of people, of course, listening to your podcast and out there in the world have become incredibly successful based on the rise of digital technology. But I think we need to think about digital technology now as a suboptimal legacy technology. To achieve energy efficient artificial intelligence, we've really got to take cues from biology. [MUSIC] KEVIN SCOTT: Hi, everyone. Welcome to Behind the Tech. I'm your host, Kevin Scott, Chief Technology Officer for Microsoft. In this podcast, we're going to get behind the tech. We'll talk with some of the people who have made our modern tech world possible and understand what motivated them to create what they did. So join me to maybe learn a little bit about the history of computing and get a few behind- the-scenes insights into what's happening today. Stick around. [MUSIC] CHRISTINA WARREN: Hello, and welcome to the show. I'm Christina Warren, Senior Cloud Advocate at Microsoft. KEVIN SCOTT: And I'm Kevin Scott. CHRISTINA WARREN: Today, we're excited to have with us Surya Ganguli. KEVIN SCOTT: Yeah, Surya is a professor at Stanford working at the intersection of a bunch of different, super interesting fields. So, he's a physicist. He's a neuroscientist. He is actually quite familiar with modern psychology, and he's a computer scientist. And so, he's applying all of this interest that he has across all of these different fields, trying to make sure that we're building better and more interesting biologically and psychologically inspired machine learning systems in AI. -
High Energy Physics Quantum Computing
High Energy Physics Quantum Computing Quantum Information Science in High Energy Physics at the Large Hadron Collider PI: O.K. Baker, Yale University Unraveling the quantum structure of QCD in parton shower Monte Carlo generators PI: Christian Bauer, Lawrence Berkeley National Laboratory Co-PIs: Wibe de Jong and Ben Nachman (LBNL) The HEP.QPR Project: Quantum Pattern Recognition for Charged Particle Tracking PI: Heather Gray, Lawrence Berkeley National Laboratory Co-PIs: Wahid Bhimji, Paolo Calafiura, Steve Farrell, Wim Lavrijsen, Lucy Linder, Illya Shapoval (LBNL) Neutrino-Nucleus Scattering on a Quantum Computer PI: Rajan Gupta, Los Alamos National Laboratory Co-PIs: Joseph Carlson (LANL); Alessandro Roggero (UW), Gabriel Purdue (FNAL) Particle Track Pattern Recognition via Content-Addressable Memory and Adiabatic Quantum Optimization PI: Lauren Ice, Johns Hopkins University Co-PIs: Gregory Quiroz (Johns Hopkins); Travis Humble (Oak Ridge National Laboratory) Towards practical quantum simulation for High Energy Physics PI: Peter Love, Tufts University Co-PIs: Gary Goldstein, Hugo Beauchemin (Tufts) High Energy Physics (HEP) ML and Optimization Go Quantum PI: Gabriel Perdue, Fermilab Co-PIs: Jim Kowalkowski, Stephen Mrenna, Brian Nord, Aris Tsaris (Fermilab); Travis Humble, Alex McCaskey (Oak Ridge National Lab) Quantum Machine Learning and Quantum Computation Frameworks for HEP (QMLQCF) PI: M. Spiropulu, California Institute of Technology Co-PIs: Panagiotis Spentzouris (Fermilab), Daniel Lidar (USC), Seth Lloyd (MIT) Quantum Algorithms for Collider Physics PI: Jesse Thaler, Massachusetts Institute of Technology Co-PI: Aram Harrow, Massachusetts Institute of Technology Quantum Machine Learning for Lattice QCD PI: Boram Yoon, Los Alamos National Laboratory Co-PIs: Nga T. T. Nguyen, Garrett Kenyon, Tanmoy Bhattacharya and Rajan Gupta (LANL) Quantum Information Science in High Energy Physics at the Large Hadron Collider O.K. -
Directed Searches for Continuous Gravitational Waves from Spinning Neutron Stars in Binary Systems
Directed searches for continuous gravitational waves from spinning neutron stars in binary systems by Grant David Meadors Adissertationsubmittedinpartialfulfillment of the requirements for the degree of Doctor of Philosophy (Physics) in The University of Michigan 2014 Doctoral Committee: Professor John Keith Riles, Chair Professor Fred C. Adams Professor Nuria Pilar Calvet Research Scientist Herold Richard Gustafson Professor Timothy A. McKay Professor Stephen C. Rand c Grant David Meadors 2014 ⃝ All Rights Reserved To the tree of Life, which took stardust and evolved into us. Pro arbore Vitae, ex nube stellarum ad nos evolvit. ii ACKNOWLEDGEMENTS Thanks should go beyond a simple page. Lest I forget, let me reflect on all the people without whom I would not have made it here. To my parents, Erin O’Rourke- Meadors and Gregory David Meadors, and my brother, Patrick Thomas Meadors. Home’s name follows you; three decades have we explored – beyond seas, roots grow. My dear grandmother, Florenceann O’Rourke (n´ee Williams), supported my undergraduate studies at Reed College. Aunt Nan & Uncle Bud Williams made book- reading & museum-going fond memories. Hanford gave time to learn my family’s wonderful stories. If only my paternal grandparents, ShulerandJeanne(Brown) Meadors, could be here too. Ethan Obie Romero-Severson is ever a devoted friend in adventures & colleague in mathematics: Team Science for fouryearsandcounting! Keith Riles is a dedicated and conscientious adviser: steadyprogressishownew science is born – detecting gravitational waves is a tricky task, and his thoughtful attention to details will be part of what makes it possible. Dick Gustafson introduced me to the field in 2005 and has helped ever since; my only regret working with him is that we never flew the glider, although we nearly won a sailboat regatta. -
Yonatan F. Kahn, Ph.D
Yonatan F. Kahn, Ph.D. Contact Loomis Laboratory 415 E-mail: [email protected] Information Urbana, IL 61801 USA Website: yfkahn.physics.illinois.edu Research High-energy theoretical physics (phenomenology): direct, indirect, and collider searches for sub-GeV Interests dark matter, laboratory and astrophysical probes of ultralight particles Positions Assistant professor August 2019 { present University of Illinois Urbana-Champaign Urbana, IL USA Current research: • Sub-GeV dark matter: new experimental proposals for direct detection • Axion-like particles: direct detection, indirect detection, laboratory searches • Phenomenology of new light weakly-coupled gauge forces: collider searches and effects on low-energy observables • Neural networks: physics-inspired theoretical descriptions of autoencoders and feed-forward networks Postdoctoral fellow August 2018 { July 2019 Kavli Institute for Cosmological Physics (KICP) University of Chicago Chicago, IL USA Postdoctoral research associate September 2015 { August 2018 Princeton University Princeton, NJ USA Education Massachusetts Institute of Technology September 2010 { June 2015 Cambridge, MA USA Ph.D, physics, June 2015 • Thesis title: Forces and Gauge Groups Beyond the Standard Model • Advisor: Jesse Thaler • Thesis committee: Jesse Thaler, Allan Adams, Christoph Paus University of Cambridge October 2009 { June 2010 Cambridge, UK Certificate of Advanced Study in Mathematics, June 2010 • Completed Part III of the Mathematical Tripos in Applied Mathematics and Theoretical Physics • Essay topic: From Topological Strings to Matrix Models Northwestern University September 2004 { June 2009 Evanston, IL USA B.A., physics and mathematics, June 2009 • Senior thesis: Models of Dark Matter and the INTEGRAL 511 keV line • Senior thesis advisor: Tim Tait B.Mus., horn performance, June 2009 Mentoring Graduate students • Siddharth Mishra-Sharma, Princeton (Ph.D. -
Predictive Coding in Balanced Neural Networks with Noise, Chaos and Delays
Predictive coding in balanced neural networks with noise, chaos and delays Jonathan Kadmon Jonathan Timcheck Surya Ganguli Department of Applied Physics Department of Physics Department of Applied Physics Stanford University,CA Stanford University,CA Stanford University, CA [email protected] Abstract Biological neural networks face a formidable task: performing reliable compu- tations in the face of intrinsic stochasticity in individual neurons, imprecisely specified synaptic connectivity, and nonnegligible delays in synaptic transmission. A common approach to combatting such biological heterogeneity involves aver- aging over large redundantp networks of N neurons resulting in coding errors that decrease classically as 1= N. Recent work demonstrated a novel mechanism whereby recurrent spiking networks could efficiently encode dynamic stimuli, achieving a superclassical scaling in which coding errors decrease as 1=N. This specific mechanism involved two key ideas: predictive coding, and a tight balance, or cancellation between strong feedforward inputs and strong recurrent feedback. However, the theoretical principles governing the efficacy of balanced predictive coding and its robustness to noise, synaptic weight heterogeneity and communica- tion delays remain poorly understood. To discover such principles, we introduce an analytically tractable model of balanced predictive coding, in which the de- gree of balance and the degree of weight disorder can be dissociated unlike in previous balanced network models, and we develop a mean field theory of coding accuracy. Overall, our work provides and solves a general theoretical framework for dissecting the differential contributions neural noise, synaptic disorder, chaos, synaptic delays, and balance to the fidelity of predictive neural codes, reveals the fundamental role that balance plays in achieving superclassical scaling, and unifies previously disparate models in theoretical neuroscience. -
SAPE Newsletter 13 1 of 33 ARGENTINA
SOCIETY OF AVIAN PALEONTOLOGY AND EVOLUTION INFORMATION LETTER n° 13, October 1999 Secretary: Cécile Mourer-Chauviré UFR des Sciences de la Terre Université Claude Bernard - Lyon 1 27-43 Boulevard du 11 Novembre 69622 Villeurbanne Cedex FRANCE Fax : (33) 4. 72. 44. 83. 82 e-mail: mourer@cismsun. univ-lyon1.fr 5TH INTERNATIONAL MEETING OF THE SOCIETY OF AVIAN PALEONTOLOGY AND EVOLUTION The Institute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of Sciences Beijing, China June 1-4, 2000 To receive the final circular or for any questions and suggestions, please contact: Huiling Wu / Yonghong Zhang Organizing Committee 5th International Meeting of the Society of Avian Paleontlogy and Evolution P. O. Box 643, Beijing 100044, People's Republic of China Telephone: 86-10-68354669, 86-10-68935168 Fax: 86-10-68337001 E-mail: [email protected] NEWS FROM THE MEMBERS SAPE Newsletter 13 1 of 33 ARGENTINA Jorge I. NORIEGA is now working together with Herculano ALVARENGA (Brazil) on the philogeny of the different species of giant Miocenic darters (Anhingidae) of South America. Together with Claudia TAMBUSSI (Argentina) and Herculano ALVARENGA, they are beginning to study fossil specimens belonging to divers (Gaviidae) from the Late Cretaceous of Antarctica. Also see new address. Florencia SAVANTI is working with another archaeologist, Isabel CRUZ, and they are trying to integrate information about taphonomy of avian remains collected in different places of Southern Patagonia. Their respective works have been done in different moments and research teams, and they are trying to unify methodological criteria to contribute to a regional taphonomy focused on the accurated interpretation of archaeological and paleoecological records. -
GGRO Season Summary 2012
G o l d e n G a t e R a p t o r O b s e r v a t o r y Season Summary 2012 VOLUNTEERS • HAWKWATCH • BANDING TELEMETRY • CTT TRACKING • OUTREACH • DONORS Veteran radiotracker Phil Capitolo refinds the beep from Marathon, the juvenile Broadwinged Hawk that sprinted from the Marin Headlands to Mexico in just four days. (Illustration by Heather von Bodungen) G O L D E N G A T E R A P T O R O B S E R V A T O R Y The Golden Gate Raptor Observatory’s mission is to inspire the preservation of birds of prey. Our business is to monitor and study the bird of prey migration along the central California coast, particularly at the Marin Headlands, part of the Golden Gate National Recreation Area. We are dedicated to the conservation of raptors both through careful data collection and through involving the public in every aspect of our research. The GGRO is a program of the Golden Gate National Parks Conservancy and the National Park Service, and is made up of 300 community volunteers and a small staff. GGRO Season Summary 2012 written by Chris Briggs, Allen Fish, Kate Howard, and Buzz Hull Cover illustration by Siobhan Ruck; other illustrations by Heather von Bodungen Compiled by Jill Harley and published by the Golden Gate Raptor Observatory, Golden Gate National Parks Conservancy Building 1064 Fort Cronkhite, Sausalito, California 94965 (415) 3310730 • (415) 3317521 fax • [email protected] • www.ggro.org Copyright 2013 by the Golden Gate Raptor Observatory.