Aleksandra B. Slavkovic´

CONTACT Department of Statistics Phone: (814) 863-4918 421A Thomas Building Fax: (814) 863-7114 Penn State University E-mail: [email protected] University Park, PA 16802 http://personal.psu.edu/abs12/

EDUCATION Carnegie Mellon University, Pittsburgh, PA Ph.D. Statistics August 2004 Advisor: Stephen E. Fienberg M.S. Statistics May 2001 Masters in Human-Computer Interaction, December 1999 Duquesne University, Pittsburgh, PA B.A.(Magna Cum Laude), December 1996 Major: Psychology Minor: Biology

PROFESSIONAL Penn State University, Eberly College of Science, University Park, PA CAREER Associate Dean for Graduate Education, January 2018 - present

Penn State University, Department of Statistics, University Park, PA Co-Director of Online Programs, August 2017 - August 2018 Professor, July 2015 - present Associate Head for Diversity & Equity, October 2014 - October 2017 Associate Head for Graduate Studies, July 2013 - present Associate Professor, July 2010 - June 2015 Assistant Professor, August 2004 - June 2010

University of California, Berkeley, Simons Institute for the Theory of Computing, Berkeley, CA Semester Program: Data Privacy: Foundations and Applications Long-Term Visitor, January-May 2019

Penn State University, Department of Public Health Sciences, College of Medicine, Hershey, PA Professor, July 2015 - present Associate Professor, August 2010 - June 2015

Penn State University, Clinical Translational Science Institute, Hershey, PA & Uni- versity Park, PA Data Privacy Ofﬁcer, June 2011 - June 2016

Penn State University, The Institute for CyberScience, University Park, PA Afﬁliated Faculty, January 2008 - present Cornell University, The Labor Dynamics Institute, ILR School, Ithaca, NY. Visiting Professor, January 2013-May 2013

Utrecht University, Department of Methodology & Statistics, Utrecht, The Nether- lands. Visiting Researcher, September 2012-December 2012

University of Minnesota, The Institute for Mathematics and its Applications, Min- neapolis, MN. Annual Program: Applications of Algebraic Geometry Visiting Researcher, January-March 2007

Carnegie Mellon University, The Tepper School of Business, Pittsburgh, PA Teaching Instructor, May - June 2002

Carnegie Mellon University, Department of Statistics, Pittsburgh, PA Research Assistant, January 2003 - August 2004 Research Assistant/Consultant, January 2001 - March 2002 Consultant to the National Academy of Sciences/National Research Council Committee to Review the Scientiﬁc Evidence on the Polygraph. Teaching Instructor, Head Teaching Assistant, May 2000 - May 2004

Carnegie Mellon University, School of Computer Science, Pittsburgh, PA. Research Assistant, April 1997 - May 1999

TEACHING Penn State University EXPERIENCE Analysis of Discrete Data (STAT 504 - PSU World Campus), Spring 2007-2011/Spring 2014 Analysis of Discrete Data (STAT 504), Spring 2005/06/07/08/09/10/11/15 Applied Statistics (STAT 500 - PSU World Campus), Fall 2010 Categorical Data Analysis (STAT 544), Fall 2008/09, Fall 2011 Colloquium & Perspectives on Statistics (STAT 590), Fall 2014/15, Spring 2015/16 Data Privacy (STAT 597B), Fall 2014 Data Privacy (STAT 598B/CSE 598D), Fall 2007 Design and Analysis of Experiments (STAT 512), Spring 2012 Intermediate Applied Statistics (STAT 460), Fall 2004/05/06/07 Introduction to Computing Environments (STAT 597C), Fall 2008/09 Regression Analysis and Modeling (STAT 511), Fall 2011/13/17/18 Sampling Theory and Methods (STAT 506 - PSU World Campus), Fall 2015 Statistical Concepts and Reasoning (STAT 100), Spring 2016 Science Outreach and Communications (SC 451) – supervising, Fall 2018/19, Spring 2021.

Carnegie Mellon University Introduction to Probability and Statistics (46731), Summer 2002 Introduction to Statistical Reasoning (36201), Summer 2000 FACULTY, Advisor, Science Achievement Graduate Fellows Program, Eberly College of Science, POSTDOC, Penn State, January 2018 - present STUDENT ADVISING & Advisor and Chair, Graduate Students Climate and Diversity Committee, Eberly Col- MENTORING lege of Science, Penn State, January 2018 - September 2020

Faculty Advisor, Statistics Graduate Students Association, Department of Statistics, Penn State, Fall 2014 - January 2018

Junior Faculty Mentor, for a number of faculty in the Statistics Department, Penn State University & 2019 NISS Writing Workshop for Junior Researchers (at JSM).

Training Mentors in STEM, for all faculty in Eberly College of Science, Penn State University, co-organizer of the program, including workshops.

Co-organizer and mentor, Women in Statistics and Data Science, Penn State Univer- sity, November 2019 - present.

Postdoc & Research associate Advisor: • Carlos Soto, 2020 – present (co-advised, M. Reimherr). • Roberto Molinari, 2018 – 2020 (Assistant Professor at Auburn University). • Thomas Kent, 2018 – 2020 (Statistician, USDA). • Jing Lei, 2011-2012 (Assistant Professor at Carnegie Mellon University).

PhD Thesis Advisor: • Tran Tran (Statistics), expected May 2025 (co-advised, M. Reimherr) • Jeremy Seeman (Statistics), expected May 2024 (co-advised M. Reimherr) • Jonathan Hehir (Statistics), expected May 2023 • Ann Johnson (Statistics), expected May 2022 • Yuji Samizio (Statistics), expected December 2020 • Michelle Pistner (Statistics), December 2020 (Research Assistant Professor, IST at Penn State University) • Jordan Awan (Statistics), May 2020 (co-advised, M. Reimherr; Assistant Professor at Purdue University) • Joshua Snoke (Statistics), 2018 (Statistician, RAND) • Vishesh Karwa (Statistics), 2014 (Postdoctoral Fellow at Harvard and Carnegie Mel- lon, Assistant Professor at Ohio State University) • Jeffery Woo (Statistics), 2013 (Lecturer, University of Virginia) • Juyoun Lee (Statistics), 2009 (Senior Manager at Samsung)

MS Thesis Advisor: • Ann Johnson (Statistics), August 2020 • Yuji Samizio (Statistics), August 2016 • Eftychia Solea (Statistics), May 2014 • Nicole Khoury (Statistics), May 2013 • Xiaotian Zhu (Mathematics), December 2008. • Byran Smucker (Statistics and Operations Research), December 2007 PhD Thesis Committee Member, minor advisor: • Mildred Maldonado-Molina (Human Development (statistics minor), 2005) • Lan Yu (Educational Psychology (statistics minor), 2007) • Tamika Gilreath (Biobehavioral Health Department (statistics minor) 2007) • Hyekyung Jung, (Statistics, 2007) • Bimal Balakrishnan (Mass Communication (statistics minor), 2008) • Gregorio Convertino (Information Sciences and Technology, 2008) • Yuejiao Ma (Statistics, 2009) • Alexander Yin (Higher Education (masters in applied statistics), 2009) • Qiong Wu (Educational Psychology (statistics minor), 2009) • Joanna Bissel (Human Development (statistics minor), 2010) • Wen Hu (Civil Engineering (statistics minor), 2010) • Hong Li (Educational Psychology (statistics minor), 2011) • Kun-Feng Wu (Civil Engineering (statistics minor), 2011) • Claudia Nau (Social Science, 2012) • Anna Wu (Information Sciences and Technology (statistics minor), 2012) • Abhradeep Guha Thakurta (Computer Science and Engineering, 2013) • Yeying Zhu (Statistics, 2013) • Yu Zhao (Educational Psychology (statistics minor), 2015) • Fei Yu (Statistics, at Carnegie Mellon University), 2015) • Eftychia Solea (Statistics, 2016) • Nicholas Papernot (Computer Sciences and Engineering), 2018) • Mark Umbricht (Higher Education (statistics minor), 2018) • Yue Wang (Computer Sciences and Engineering), 2019) • William Wright (Mathematics (statistics minor), 2019) • Edward Zechmann (Acoustics (statistics minor), 2019) • Haining Zhu (Information Sciences and Technology (statistics minor)), 2019) • Zeyu Ding ((Computer Sciences and Engineering) • Kyung Sun Chung (Educational Psychology (statistics minor)) • Claire Kelling (Statistics, (cmt. chair)) • Aria Khademi (Information Sciences and Technology (statistics minor)) • Daniel Kwon (Civil Engineering (statistics minor)) • Fernando del Solar (Acoustics) • Siddharth Vishwanath (Statistics) • Adam Walder (Statistics)

MS Thesis Committee Member*, undergraduate, and project advisor: • Tran Tran (Statistics, Fall 2019-present) • Jeremy Seaman (Statistics, Fall 2019-present, so-advised with R. Molinari) • Jonathan Heihr (Statistics, Summer 2019-present) • Thomas Kent (Statistics, masters of applied statistics, Fall 2018-present) • Zhiyi He (Statistics, undergraduate honors thesis, Spring 2018-Spring 2019) • Anna Kinney (Statistics, Fall 2017 - Spring 2019, co-advised with M. Reimherr) • Jordan Awan (Statistics, Spring 2017-present) • Michelle Pitsner (Statistics, Summer 2016-present) • Ann Johnson (Statistics, Summer 2016-present, co-advised with S. Petrovic) • Ardalan Mirshani (Statistics, Summer 2015-Spring 2019, co-advised wtih M. Reimherr) • Ben Sheng (Stattsics, Summer 2015-present, co-advised with L. Bao) • Eftychia Solea (Statistics, Summer/Fall 2015, co-advised with B. Li) • Christopher Ipken (Demography, BDSS, Fall 2014-Spring 2015) • Muzi Zhang (Statistics, Summer 2015) • Anni Li (Statistics, undergraduate, Spring 2014) • Joshua Snoke (Statistics, Spring 2014 -Summer 2015) • Eftychia Solea (Statistics, Summer 2012) • Vishesh Karwa* (Civil Engineering, August 2009; independent study, Summer 2008) • Jeffery Woo (Statistics, independent study, Spring 2009) • Matthew Tibbits (Statistics, Summer/Fall 2007) • Tracey Wrobel (Statistics, Summer/Fall 2005) • Ashley Perretta (Statistics, undergraduate, independent study, Spring 2005)

PROFESSIONAL Associate Editor: ACTIVITIES & • Annals of Applied Statistics (AOAS), December 2009 - present AFFILIATIONS • Journal of Privacy and Conﬁdentiality (JPC), January 2009 - present • Journal of Statistical Computation and Simulation, June 2009 - August 2011.

Guest Editor: • Special Issue of CHANCE, 11/1/2020, Co-Editors, Fang Liu & Saki Kinney. • Special issue of JPC, 2/1/2018-12/16/2019. Co-Editor, Lars Vilhuber. • Special issue of Algebraic Statistics, 3/3/2017-2/6/2019 Co-Editors, Sonja Petrovic & Ruriko Yoshida. • Special issue of JPC, 4/1/2012. Co-Editor, Adam Smith.

Column Editor: CHANCE, November 2010 - present

Referee: Annals of Applied Statistics, Annals of Statistics, Bayesian Analysis, Bio- metrics, Electronic Journal of Statistics, European Journal of Operational Research, Journal of American Statistical Association, Journal of Biomedical Informatics, Jour- nal of Computational and Graphical Statistics, Journal of Ofﬁcial Statistics, Journal of Royal Statistical Society, Journal of Statistical Planning and Inference, Journal of Symbolic Computation, Journal of the Italian Statistical Society, Management Infor- mation Systems Quarterly, PNAS, Statistical Science, Statistica Sinica, Section on Bayesian Statistical Science (SBSS) Student Paper Competition Judging Committee for JSM 2007 Awards Committee, Peer Reviewer for the National Science Founda- tion, the National Security Agency, ICML, NeurIPS.

Advisory Committee: • Validation Server Advisory Board, Urban Institute, Washington, DC., October 2020 - present. • OpenDP Advisory Board, Harvard University, Cambridge, MA, May 2020 - present. • Committee on National Statistics (CNSTAT) Expert Group on 2020 Census Data Products/Implementing Differential Privacy, April 2020 - present. • Penn State Institute for Computational and Data Sciences (ICDS) Faculty Advisory Board, Penn State University, PA, February 2020 - present. • National Opinion Research Center (NORC) Committee on Statistics, Chicago, IL, August 2019 - present. • Advisory Committee for Graduate Education (ACGE), Penn State University, Jan- uary 2018 - present. • Theory and Practice of Differential Privacy (TPDP) Steering Committee, December 2017 - present. • Clinical and Translational Science Institute (CTSI) Penn State Directors’ Council, Penn State University. June 2016- May 2020. • Chief Information Security Ofﬁce (CISO) Advisory Board, Penn State University, October 2015 - present. • Research Cyber Infrastructure (RCCI) Advisory Council, Penn State University. May 2015 - June 2016. • IGERT Big Data Social Sciences Steering Committee, Penn State University. June 2012 - present. • Clinical and Translational Science Institute (CTSI) Penn State Directors’ Council, Data Privacy Ofﬁcer, Penn State University. June 2011- June 2016. • Law and Neuroscience Project advisory group, “Reasoning from Group Data to Individual Decision Making.” Sponsored by the MacArthur Foundation. Chicago, September 9-11, 2010. • Geographic Information Analysis (GIA) Core, Population Research Institute, Penn State University, September 2010-present.

Organizing committee: • Workshop: Differential Privacy and Statistical Data Analysis, The Fields Institute for Research in Mathematical Sciences, University of Toronto, Canada, June 13 - 17, 2022. • Workshop: Data Privacy: Foundations and Applications Reunion, Simons Institute for the Theory of Computing, UC Berkeley, CA, September, 2020; • Invited Session at SDSS 2019: “Computing in Data Privacy”, Pittsburgh, PA, June 3-6, 2020 • Penn State University Math Alliance university level member November 2019 - present, organizer and co-lead • Women in Statistics and Data Science Group, Department of Statistics, Penn State University, November 2019 - present, co-organizer and co-lead • Mentoring Matters: Training Mentors in STEM ECoS Workshop, Eberly College of Science (ECoS), Penn State University, Summer 2019 - present • Topic Contributed Session at JSM 2019: “Formal Privacy: Making an Impact on Large Organizations”, Denver, CO, August 2019 • Workshop: Privacy and the Science of Data Analysis, Simons Institute for the The- ory and Computing, UC Berkeley, CA, Apr 8 - Apr 12, 2019. • ASA Webinar: “Privacy Day 2019 – Toward protecting the privacy of individuals when disseminating data: Statistical data disclosure risk assessment case studies”, February 6, 2019. • Semester program: Data Privacy: Foundations and Applications, Simons Institute for the Theory of Computing, UC Berkeley, CA, January 15 - May 17, 2019. • ASA Webinar: “Privacy Day 2018 – What is a Privacy Loss Budget and How Is It used to Design Privacy Protection for a Confidential Database?”, February 1, 2018. • Invited Session at JSM 2017: “Differential Privacy in Statistical Agencies: Present and Future”, Baltimore, MD, August 2017. • ASA Webinar: “Privacy Day 2017 – Differential Privacy: Protecting Individuals from Re-Identification”, February 10, 2017. • Invited Session at ICML 2016: “Second International workshop on Theory and Prac- tice of Differential Privacy (TPDP 2016)” New York, NY, June 2016. • Invited Session at JSM 2016: “Statistical Foundations of Data Privacy” Chicago, IL, August 2016. • Invited Session at JSM 2015: “Has Informed Consent Outrun its Usefulness?”, Seat- tle, WA, August 2015. • Fifth IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2014), Shenzhen, China, December 14, 2014. • Invited Session at JSM 2014: “Genomic Privacy: Risk and Protection Methods” Boston, MA, August 2014. • The Rao Prize Conference, 2013, Department of Statistics, PSU, October 5, 2013. • Invited Session at JSM 2013: “Session in honor of 70th birthday of Stephen E. Fienberg and his nearly 50 years of statistical practice.” Montreal, CA, August 2013. • Conference & Tutorials: Algebraic Statistics in the Alleghenies 2012 at The Penn- sylvania State University, Departments of Mathematics & Statistics, PSU, June 8- 15, 2012. • Workshop: Statistical and Learning-Theoretic Challenges in Data Privacy, IPAM, February 22-26, 2010. • Invited Session at JSM 2009: “O’Privacy Where are Thou: Mapping the Landscape of Data Privacy and Confidentiality,” Washington, DC, August 2009. • Invited Session at JSM 2009: “Rigorous Foundation of Data Privacy and Confiden- tiality,” Washington, DC, August 2009. • Workshop on Matrix Theory and Computations for Research in Social and Physical Sciences, Department of Statistics, PSU, July 2006.

Program Committee: • Privacy in Statistical Databases Conference (PSD 2014, 2016, 2018, 2020). Septem- ber 2014, 2016, 2018, 2020. • 2nd International Workshop on Genome Privacy and Security (GenoPri’15), 36th IEEE Symposium on Security and Privacy, San Jose, CA, May 2015. • Workshop on Privacy Aspects of Data Mining (PADM 2011), IEEE International Conference on Data Mining (ICDM 2011), December 2011. • Scientiﬁc Programme Committee for the ISI Young Statisticians Meeting, The ISI World Congress, Dublin, August 2011. • Workshop on Privacy and Security Aspects of Data Mining, The Fifth and Sixth IEEE International Conference on Data Mining, November 2005, October 2007. • Session on Computer Security and Data Privacy, the IEEE International Conference on Granular Computing, May 2006.

Committee/Panel Member: • American Statistical Association (ASA) Social Statistics Section, January 2021, Chair- elect. • American Statistical Association (ASA) Committee on Privacy and Conﬁdentiality in Statistics, January 2012 - present (Vice-chair (January 2015-), Chair (January 2018-January 2020)). • The International Statistical Institute (ISI) Committee for Young Statisticians, Oc- tober 2011- October 2014. • National Research Council, Transportation Research Board. Expert Task Group (ETG) on Data Access for Safety Data, Phase 1 (FA015), May 15, 2015 - December 31, 2018. • National Research Council, Transportation Research Board. Strategic Highway Research Program 2 (SHARP 2) Safety Expert Task Group (ETG) for Technology Issues Associated with Implementation of Safety Database, FAO13, July 1, 2014 - March 15, 2015. • National Academy of Sciences, Committee on National Statistics’ Panel on Mea- suring and Collecting Pay Information from U.S. Employers by Gender, Race, and National Origin, February 2011 - August 2012.

Committee/Panel Member, Penn State University: • Advisory Committee for Graduate Education (ACGE) Diversiﬁcation of Graduate Education Subcommittee (January 2018 - present). • University Graduate Fellowships and Awards Committee (August 2017 - January 2018) • IST Privacy & Security Faculty Search Committee (August 2017 - May 2018) • Social Data Analytics Program Committee (August 2017 - present) • Big Data Social Sciences IGERT Steering Committee (August 2012 - August 2017) • Strategic Planning Advisory Committee (May 2014), Eberly College of Science • Committee to Review Data Use Agreement Process (October 2012- May 2013), Penn State Hershey College of Medicine • Promotion and Tenure Panel (P&T Workshop, Fall 2010, 2015), Eberly College of Science • Mentoring Workshop Panel, Mentoring in the Middle (April 14, 2010), PSU Grad- uate Student and Faculty Issues Committee

Committee Member, Department of Statistics, Penn State University: • Awards Committee (January 2021-present) • Eberly Fellow Search Committee (August 2019-August 2020) • Rock Ethics Data Faculty Search Committee (August 2017 - May 2018) • World Campus Program Coordinator (August 2017 - Summer 2018) • Bruce Lindsay VAP Selection Committee (August 2016-Summer 2018) • Associate Head for Equity and Diversity (October 2014-October 2017) • Associate Head for Graduate Studies (2013-January 2018) • Promotion and Tenure Committee (2010-present, Fixed-term subcommittee, 2016- present) • Department Head Search Committee (2008/09, 2012, 2018) • Interdisciplinary Initiatives (2008-2012) • Hiring and Retention (2008-2011, 2019-2020) • Outreach Advisory, PSU Statistics World Campus (2008-present) • Primary Mentor STAT 460 (2008/09/10) • Master’s Exam (Chair, 2007/08,2012, 2011) • Graduate Admissions (including online MAS program) (2007-2012, 2014-present) • Graduate Admissions online MAS (2007-2012, 2014-2016) • Graduate Program (2005-present, Chair 2013-present) • PhD Exam (2005/06) • Colloquium Series (Chair, 2005) • Social (Chair, 2005-2012, 2004) • Advisory and Strategic Planning Committee (2004/05/06) • National Institute of Statistical Sciences, Liaison (2005-2017) • Statistical Consulting Center Faculty Advisory Committee (2005-2009)

Afﬁliations: • INFORMS, 2020 - present • American Association for Advancement of Science (AAAS), 2019 - present • Caucus for Women in Statistics, 2019 - present • International Statistical Institute (ISI) - Elected member, 2012-present • International Society for Bayesian Analysis, 2004 - present • The Institute of Mathematical Statistics, 2002 - present • The American Statistical Association, - Fellow (2018), member, 2002 - present

HONORS • Fellow, The American Statistical Association (2018) • The 2017 Graduate School Alumni Society Graduate Program Chair Leadership Award, Penn State University. • The Social Statistics, Government Statistics, and Survey Research Methods Sections Joint Statistical Meetings 2016 winner of Student and Postgraduate Paper Competi- tion. Jointly with Joshua Snoke • Elected member, The International Statistical Institute (2012) • The Social Statistics, Government Statistics, and Survey Research Methods Sections Joint Statistical Meetings 2008 winner of Student and Postgraduate Paper Competi- tion. Jointly with Byran Smucker • IMA Long Term Visitor to the Program in Applications in Biology, Dynamics, and Statistics. (January 31 - March 31, 2007). The Institute of Mathematics and Its Applications (IMA). Minneapolis, MN • Honorable Mention, Prize for the best student paper. The Committee on Statisticians in Defense and National Security of the American Statistical Association (2003) • Honorable Mention, Best contributed poster/papers of the Fifth International Con- ference on Forensic Statistics (2002) • Phi Kappa Phi National Honor Society, Carnegie Mellon University (2001-present) • Duquesne University Tamburtizans Scholarship, Duquesne University (1993-1996) • Liebermann Scholarship for Academic Excellence, Duquesne University(1993-1996)

FUNDING NSF Award No. SES-1853209 (PI: M. Reimherr, co-PI: A. Slavkovic´, M. Shriver). “Formal Privacy for Complex Data Objects.” Project dates: 09/05/2019 -09/04/2022 . Direct and indirect costs: $680,000.

U.S. Census Bureau 1333LB19P00000172 (PI: Slavkovic´). The U.S. Census Bu- reau’s Dissertation Fellowship Program support for Michelle Nixon. Project dates: 08/01/2019-08/31/2020. Direct and indirect costs: $50,000.

NIH UL1 TR000127 and TR002014. (PI: Dr. L. Sinoway). “Penn State Clinical and Translational Science Institute”. Project dates: 09/01/16 - 08/31/2021. Specialist: A. Slavkovic´ - 10% effort. Direct and indirect costs: $26,032,795. NIH AH000611 “Privacy-protecting distributed analysis of biomedical big data”. (PI: D. Toh, Harvard Medical School and Harvard Pilgrim Health Care Institute). Project Dates: 9/1/2016 - 8/31/2019. Penn State subcontract, co-PI: Slavkovic´. Direct and indirect costs: $ 510,581.

NIH/NLM Grant number 182623 “Penn State Biomedical Big Data to Knowledge (B2D2K) Training Program.” (PI: M. Ritchie, faculty: A. Slavkovic´). Project Dates: 06/01/2016-05/28/2021. Direct and indirect costs: $ 208,067.

U.S. Census Bureau YA1323-RFQ-06-0802 (PI: Slavkovic´). The U.S. Census Bu- reau’s Dissertation Fellowship Program support for Joshua Snoke. Project dates: 09/01/2016- 08/31/2017. Direct and indirect costs: $50,000.

NSF Award No. SES-1534433 (PI: A. Slavkovic´, PSU; co-PI: R. Steorts, Duke). “Collaborative Proposal: Record Linkage and Privacy-Preserving Methods for Big Data”. Project dates: 09/15/15- 08/31/2019. Direct and indirect costs PSU $334,243.

Air Force STTR Phase I. Contract with Intelligent Automation Inc. (IAI). (PI: A. Slavkovic´ and co-PI, D. Kifer, PSU). “RADAR: Risk Assessment of Disclosure via Automated Reasoning. Project dates: 10/27/2013-7/27/2014. $46,716.

NSF Award No: DGE-1144860 (PI: B. Monroe, co-PI: Giles, Hardy, MacEachren, Slavkovic).´ “IGERT: Big Data Social Science - An Integrative Education and Research Program in Social Data Analytics”. Project dates: 06/01/2012 - 05/30/2017. Total amount: $2,999,713. co-PI A. Slavkovic´ - 0.5 summer.

U.S. Census Bureau: YA1323-12-SE-0303 (PI: Slavkovic´). The U.S. Census Bureau’s Dissertation Fellowship Program support for Yong Ming Jeffrey Woo. Project dates: 08/01/2012-07/31/2012. $50,000.

NSF Award No: DMS-1208837 (PI: J. Morton, The Pennsylvania State University. Co-PIs: S. Sullivant, North Caroline State University, M. Denker, S. Petrovic,´ A. Slavkovic´, PSU. “Conference and Summer School: Algebraic Statistics in the Al- leghenies”. Project dates: 05/01/2012-04/30/2013. $36,000.

NIH/NCRR Grant Number UL1RR033184 (PI: Dr. L. Sinoway). “Penn State Clinical and Translational Science Institute”. Project dates: 07/01/11 - 06/31/2016. Aleksan- dra Slavkovic´ - Data Privacy Ofﬁcer - 1.8 calendar months effort.

NSF Award No. BCS-0941553 (PI: A. Slavkovic´; co-PIs: J. Abowd (Cornell), S. Fien- berg (CMU), A. Smith (PSU), S. Raskhodnikova (PSU)). “CDI-Type II: Integrating Statistics and Computational Approaches to Data Privacy.” Project dates: 09/01/2010 - 08/31/2015. Direct and indirect costs PSU $1,025,626.

NSF Award No. SES-0532407. (PI: Slavkovic´) ”Statistical Disclosure Limitation Methods for Tabular Data.” Project dates: 10/01/2005 - 09/30/2008, extended to 09/30/2010. Direct and indirect costs $260,000. Collaborative research with National Institute of Statistical Sciences on NSF funded project EIA-0131884, (PI: Karr) ”Digital Government: Data Conﬁdentiality, Data Quality and Data Integration for Federal Databases.” Project Dates: 05/01/2006-08/31/2006, and 05/01/2005 - 08/31/2005.

The Methodology Center Level-I pilot awarded from NIH NIDA 2 P50 DA10075 (PI: Collins) with E. Michael Foster. Project Dates: 05/01/2005 - 08/31/2005.

TRAVEL The 9th International Society for Bayesian Analysis (ISBA) World Meeting. Hamil- GRANTS ton Island, Australia (July 2008); The 7th World Congress of Probability and Statistics, Singapore (July 2008). Workshop on Data Conﬁdentiality. Sponsored by National Sci- ence Foundation, Microsoft Corporation and IBM Almaden Research Center. Arling- ton, VA. (Sep 2007); Workshop on Algebraic Statistics and Computational Biology. (Nov 2005); The 69th Annual Meeting of the Institute of Mathematical Statistics and X Brazilian School of Probability (Aug 2006); Computer Science-Statistics Workshop on Privacy and Conﬁdentiality (July 2005); DIMACS Workshop on Usable Privacy and Security Software (March 2004); Workshop on Computational Algebraic Statis- tics (Dec 2003); Challenges In Stochastic Computation Closing Workshop, SAMSI (June 2003); GROSTAT VI and 1st International School on Algebraic Statistics (Feb 2003); The 5h International Conference on Forensic Statistics (Sep 2002).

INVITED (February 17, 2021) Department of Statistics, University of Wisconsin. Virtual. PRESENTATIONS (December 4, 2020) Privacy Group, Boston University, Virtual (Jeremy Seeman). (November 4, 2020) Department of Statistics, Rutgers University. Virtual. (November 2, 2020) Department of Biostatistics, Brown University. Virtual. (October 3-5, 2020) Women in Statistics and Data Science Conference, Pittsburgh, PA. Virtual. (Aug 1-6, 2020) Joint Statistical Meetings (JSM), Philadelphia, PA. Virtual. (June 4, 2020) Symposium on Data Science and Statistics (SDSS), Virtual. (Spring 2020) Department of Biostatistics, Drexel University – to be rescheduled. (October 3-5, 2019) Women in Statistics and Data Science Conference, Bellevue, WA. (October 11, 2019) Dean’s Advisory Board, Eberly College of Science, Penn State University, PA (July 28 - Aug 2, 2019) Joint Statistical Meetings (JSM), Vancouver, Canada. (July 28 -30, 2019) 2019 NISS Writing Workshop for Junior Researchers (at JSM), Vancouver, Canada. (February 16, 2019) AAAS Meetings, Washington, D.C. (January 15, 2019) Simons Institute for the Theory of Computing, Berkeley, CA. (July 29 - Aug 3, 2018) Joint Statistical Meetings (JSM), Vancouver, Canada. (June 3-6, 2018) Statistical Society of Canada (SSC) Meeting, Montreal, Canada. (May 28-29, 2018) Turing workshop on Statistics of Network Analysis, The Alan Turing Institute, London, UK.

INVITED (March, 2018 - tentative to reschedule) Department of Statistics, Duke University, NC. PRESENTATIONS (January 10-12, 2018) Algorithmic Challenges in Protecting Privacy for Biomedical Data, Institute of Pure and Applied Mathematics (IPAM), UCLA, CA. (Nov 14, 2017) SoDA 502, Penn State University, University Park, PA. (23-24 October, 2017) DIMACS/Northeast Big Data Hub Workshop on Overcoming Barriers to Data Sharing including Privacy and Fairness. Center for Discrete Mathe- matics and Theoretical Computer Science (DIMACS), Rutgers University, Piscataway, NJ. (11 September 2017) ENBIS-17, US Session. Naples. Italy. (16-21 July, 2017) ISI WSC in Marrakech, Morocco (presented by J. Snoke). (October 15, 2016) 2016 Celebration in Honor of Steve Fienberg, Department of Statistics, Carnegie Mellon University, Pittsburgh, PA. (July 2015) Institute of Mathematical Statistics Annual Meetings. Rio de Janeiro. Brazil. (presented by V. Karwa) (August 2015) Joint Statistical Meetings. Seattle, WA. (presented by V. Karwa) (April 2015) Workshop on Big Data for Social Policy. The Fields Institute for Research in Mathematical Sciences, Toronto. Canada. (March 2014) BERD (Biostatistics, Epidemiology and Research Design) seminar, CTSI, Penn State University, PA. (November 2014) Applied Algebra and Network Theory Seminar. Department of Mathematics, Penn State University, PA. (October 2014) Department of Statistics, University of Toronto, Toronto, Canada. (October 2014) Department of Statistics. Georgia Tech, Atlanta, GA. (September 2014) Conference on Privacy in Statistical Databases. Ibiza, Spain. (August 2014) Joint Statistical Meetings. SAMSI Session. Boston, MA. (August 2014) Discussant. Joint Statistical Meetings. Boston, MA (July 2014) Institute of Mathematical Statistics Annual Meetings. Sydney, Australia. (June 2014) Panelist. Genomic Privacy. 13th Annual Workshop on the Economics of Information Security. Penn State University, PA. (May 2014) Algebraic Statistics Conference. Illinois Institute of Technology, Chicago, IL. (presented by V. Karwa) (February 2014) REM Seminar. College of Education. University of Florida, Gainesville, FL. (January 2014) Research Data Center, Penn State, PA. (November 2013) The Center for Medical Genomics. Penn State, PA. (October 2013) Workshop on Social Network Data: Analysis and Collection. SAMSI, Research Triangle Park, NC

INVITED (October 2013) Panelist. Estimation of Re-Identiﬁcation Risk Panel & Workshop, 10th PRESENTATIONS International Conference on Health Policy Statistics (ICHPS) Conference, Chicago, IL. (October 2013) Algebraic Statistics Seminar. Department of Applied Mathematics. Illinois Institute of Technology, Chicago, IL. (September 2013) Workshop on Integrating Approaches to Privacy across the Re- search Life cycle. The Center for Research on Computation and Society. Harvard, Boston, MA. (August 2013) Joint Statistical Meetings. Montreal, Canada. (April 2013) Department of Statistics. Cornell University, Ithaca, NY. (March 2013) Department of Statistics. Temple University, Philadelphia, PA. (March 2013) Panelist. Symposium on Data Management in Biomedical Research: Information Challenges and Practical Strategies. Penn State Hershey and CTSI. Her- shey, PA. (December 2012) Social Statistics Group. Department of Statistics. London School of Economics. London, UK. (November 2012) EPFL Statistics Seminar. Laussane, Switzerland. (October 2012) Methodology & Statistics Seminar. Utrecht University. Utrecht, Nether- lands. (September 2012) Privacy in Statistical Databases. Palermo, Italy. (March 2012) Department of Statistics, University of Pennsylvania, PA. (February 2012) Applied Algebra Seminar. Department of Mathematics, Penn State, PA. (October 2011) Mini-symposium on Categorical Data: Contingency Tables and Net- work Structures, SIAM Conference on Applied Algebraic Geometry, North Caroline State University, NC. (May 2011) The Fourth Erich L. Lehmann Symposium, Rice University, Houston, TX.

(July 2010) Society of Industrial and Applied Mathematics (SIAM), Annual Meeting, Pittsburgh, PA. (March 2010) Advances in Algebraic Statistics. AMS Spring Southeastern Sectional Meeting, University of Kentucky, Lexington, KY. (February 2010) Statistical and Learning-Theoretic Challenges in Data Privacy. Insti- tute For Pure and Applied Mathematics, Los Angeles, CA. (February 2010) Department of Mathematics, California State University, Fullerton, CA. (November 2009) Department of Statistics, Ohio State University, Columbus, OH. (August 2009) Joint Statistical Meetings, Washington, DC. (May 2009) Center for Statistical and Social Sciences, University of Washington, Seat- tle, WA.

INVITED (March 2009) Science, Technology, and Society Program, Penn State University, Uni- PRESENTATIONS versity Park, PA. (March 2009) Departments of Mathematics and Statistics, University of Kentucky, Lexington, KY. (December 2008) Workshop in Algebraic Statistics. Mathematical Sciences Research Institute (MSRI), Berkeley, CA. (November 2008) Department of Statistics, University of California, Berkeley, CA. Neyman Seminar. (July 2008) The 9th International Society for Bayesian Analysis (ISBA) World Meet- ing. Hamilton Island, Australia. Poster Session. (July 2008) The 7th World Congress in Probability and Statistics. Singapore. (May 2008) ORM/NCHS/CDC/NISS Workshop on Data Conﬁdentiality: The Next Five Years. Hyattsville, MD (February 2008) BSF/DIMACS/DyDAn Workshop on Data Privacy. Center for Dis- crete Mathematics & Theoretical Computer Science, Piscataway, NJ. (January 2008) Methodology Center, Penn State, University Park, PA. (October 2007) Workshop on Privacy and Security Aspects of Data Mining. 7th IEEE International Conference on Data Mining, Omaha, NE. (October 2007) RAND, Pittsburgh, PA. (July 2007) Mathematical Institute of the Serbian Academy of Sciences and Arts, Bel- grade, Serbia. (March 2007) Workshop in Applications in Biology, Dynamics, and Statistics. The Institute of Mathematics and Its Applications, Minneapolis, MN. (December 2006) Conference on Privacy in Statistical Databases. Rome, Italy. (December 2006) New York University Stern Business School, New York, NY. (November 2006) The Quantitative Social Science Initiative, Penn State University, University Park, PA. (July 2006) The National Institute of Statistical Sciences, Research Triangle Park, NC.

(June 2006) The Faculty of Mathematics, University of Belgrade, Belgrade, Serbia. (March 2006) Data Conﬁdentiality Mid-Year Workshop A Working Group in National Defense and Homeland Security at SAMSI. National Center for Health Statistics, Hy- attsville, MD. (January 2006) AMS Special Session on Algebraic Statistics. Joint Mathematics Meet- ings, San Antonio, TX. (August 2005) Eight North American Meeting of New Researchers in Statistics and Probability. Minneapolis, MN. (July 2005) Computer Science-Statistics Workshop on Privacy and Conﬁdentiality. University of Bologna Residential Center, Bertinoro (Forl), Italy.

INVITED (June 2005) Department of Mathematics, University of Novi Sad, Novi Sad, Serbia. PRESENTATIONS (June 2005) Statistical Office of the Republic of Serbia, Belgrade, Serbia. (March 2005) Session on New Approaches to Statistical Access to Data in a Confiden- tial World. ENAR 2005, Austin, TX. (December 2004) Session on Disclosure Limitation Methods for Protecting the Con- fidentiality of Statistical Data. International Conference on the Future of Statistical Theory, Practice and Education, Hyderabad, India. (November 2004) Workshop on Privacy and Security Aspects of Data Mining, 4th IEEE International Conference on Data Mining, Brighton, England. (March 2004) DIMACS Workshop on Usable Privacy and Security Software. DI- MACS, Rutgers University, Piscataway, NJ. (February 2004) Department of Statistics, Harvard University, Boston, MA. (February 2004) Department of Statistics, Penn State University, University Park, PA. (November 2003) Data Confidentiality Day. The Bureau of Labor Statistics, Washing- ton, DC. (August 2003) Joint Statistical Meeting, San Francisco, CA. Poster Session. (July 2003) International Conference on Application of Computer Algebra. Raleigh, NC. (June 2003) Challenges In Stochastic Computation Closing Workshop. SAMSI, Re- search Triangle Park, NC. (June 2002) C. Warren Neel Conference on Statistical Data Mining & Knowledge Discovery. Knoxville, TN.

(August 2011) Joint Statistical Meetings, Miami, FL. (August 2006) The 69th Annual Meeting of the Institute of Mathematical Statistics and X Brazilian School of Probability. Instituto Nacional de Matemtica Pura e Aplicada (IMPA), Rio de Janeiro, Brazil. (August 2005) Joint Statistical Meetings, Minneapolis, MN. (October 2003) Math Department, University of California Berkeley. (August 2003) Joint Statistical Meetings, San Francisco, CA. Contributed Paper Ses- sion on Disclosure/Conﬁdentiality. (September 2002) Fifth International Conference on Forensic Statistics. Isola di San Servolo, Venice, Italy. Honorable Mention among contributed papers. (April 1999)ACM CHI’99 Conference on Human Factors in Computing Systems. Pittsburgh, PA. Poster.

INVITED (January 28 - February 1, 2019) Data Privacy: Foundations and Applications Boot WORKSHOPS Camp, Simons Institute for the Theory of Computing, Berkeley, CA. (May 29-30, 2018) The Turing Workshop on Social Network Analysis, The Alan Tur- ing Institute, London, UK. (January 10-12, 2018) Algorithmic Challenges in Protecting Privacy for Biomedical Data, Institute of Pure and Applied Mathematics (IPAM), UCLA, CA. ( 23-24 October, 2017) DIMACS/Northeast Big Data Hub Workshop on Overcoming Barriers to Data Sharing including Privacy and Fairness. Center for Discrete Mathe- matics and Theoretical Computer Science (DIMACS), Rutgers University, Piscataway, NJ. (April 2015) Workshop on Big Data for Social Policy. The Fields Institute for Research in Mathematical Sciences, Toronto. Canada. (December 2013) Big Data and Differential Privacy. The Simons Institute for the Theory of Computing, University of California, Berkeley, CA. (May 2013) What to keep and how to analyze it: Data Curation and Data Analysis with Multiple Phases. The Radcliffe Institute for Advanced Study, Harvard, Boston. MA. (March 2013) Differential Privacy and Economics and the Social Sciences. Simons Foundation, New York, NY. (May 7- 11, 2012) User-Centered Modeling. The Institute for Mathematics and its Applications (IMA) at the University of Minnesota. (March 15-16, 2012) Workshop on Privacy and Confidentiality Issues in Financial Data Exchanges. Center for the Study of Global Financial Stability. Penn State, Uni- versity Park, PA. (December 11-16, 2011) Singular learning theory. American Institute of Mathematics (AIM), Palo Alto, CA. (December 16-17, 2010) Workshop on the Future of Observatories in the Social Sci- ences. Sponsored by the National Science Foundation’s Social, Behavioral and Eco- nomic Sciences Directorate, Arlington, VA. (February 22-26, 2010) Statistical and Learning-Theoretic Challenges in Data Pri- vacy. Institute for Pure & Applied Mathematics (IPAM), Los Angeles, CA. (December 15-18, 2008) Algebraic Statistics. Mathematical Sciences Research Insti- tute (MSRI). Berkeley, CA. (May 1-2, 2008) Workshop on Data Confidentiality: The Next Five Years. Sponsored by Office of Research and Methodology (ORM), National Center for Health Statistics (NCHS), CDC, National Institute of Statistical Sciences (NISS). Hyattsville, MD. (February 4-8, 2008) Workshop on Data Privacy. Sponsored by BSF/DIMACS Center for Discrete Mathematics & Theoretical Computer Science. Piscataway (September 6-8, 2007) Workshop on Data Confidentiality. Sponsored by National Sci- ence Foundation, Microsoft Corporation and IBM Almaden Research Center. Arling- ton, VA. (January 31-March 31, 2007) Applications of Algebraic Geometry. The Institute for Mathematics and Its Applications (IMA), Minneapolis, MN. (March 13, 2006) Data Confidentiality Mid-Year Workshop A Working Group in Na- tional Defense and Homeland Security at SAMSI. National Center for Health Statistics, Hyattsville, MD.

INVITED (November 12-14. 2005) Workshop on Algebraic Statistics and Computational Biol- WORKSHOPS ogy. Clay Mathematics Institute, Boston, MA. (July 9-15, 2005) Computer Science-Statistics Workshop on Privacy and Conﬁdential- ity, University of Bologna Residential Center, Bertinoro (Forl), Italy. (November 1-4, 2004). Workshop on Privacy and Security Aspects of Data Mining. 4th IEEE International Conference on Data Mining, Brighton, UK. (March 15-16, 2004) DIMACS Workshop on Usable Privacy and Security Software. Center for Discrete Mathematics & Theoretical Computer Science, Piscataway, NJ. (December 14-18, 2003) Workshop on Computational Algebraic Statistics. American Institute of Mathematics, Palo Alto, CA. (February 17-23, 2003) GROSTAT VI and First International School on Algebraic Statistics. Menton, France.

WORKSHOPS (September 2019) New Administrator Seminar. Penn State University, University, Park, PA. (May 6-10, 2019) Evidence-Based Teaching Academy. Center for Excellence in Sci- ence Education, Eberly College of Science, Penn State, University Park, PA. (April 2016) Strong Women/Strategic Performance Course. Penn State University, University Park, PA. (October 2013) International graduate students. International Student and Scholar Advising. Penn State University, University Park, PA. (August 2013) Computational Methods in Social Sciences, SAMSI, Research Triangle Park, NC. (October 2011) CTSI Tracking and Evaluation Workshop. Hershey College of Medicine, Hershey, PA. (November 2010) Census Research Data Center Network: Annual Research Confer- ence, Maryland Population Research Center, University of Maryland, College Park, MD. (October 2010) STRIDE Workshop, Penn State University, University Park, PA. (September 2008) Discrete Models in Systems Biology. SAMSI, Research Triangle, NC. (May 2008) Nonparametric Statistics and Mixture Models: Past, Present and Future. Penn State University, University Park, PA. (June 2007) 12th Summer Institute on Longitudinal Methods. The Methodology Cen- ter, Penn State University, University Park, PA. (September 2007, 2005, 2003, 2001) Case Studies in Bayesian Statistics. Department of Statistics, Carnegie Mellon University, Pittsburgh, PA. (October 2005) The Methodology Center Fall Retreat. The Methodology Center, Penn State University, University Park, PA. (March 2003) Privacy in Data. ALADDIN Center & the Data Privacy Lab, Carnegie Mellon University, Pittsburgh, PA.

REFEREED Jonathan Hehir, Aleksandra Slavkovic,´ and Xiaoyue Niu (2021). “Consistency of PUBLICATIONS Privacy-Preserving Spectral Clustering under the Stochastic Block Model.” Submitted.

M. Pistner-Nixon, A.F. Barrientos, J.P. Reiter, and A. Slavkovic.´ (2020). “A Latent class modeling approach for differentially private synthetic data for contingency tables.” Under review.

Adam Walder, Ephraim Hanks, and Aleksandra Slavkovic. (2020) “Privacy for Spatial Point Process Data”. Under review. Best student paper award 2020, ASA Government Section. arXiv:2003.12816

Q Her, Y Samizo, T Kent, M Gallagher, A Slavkovic, S Toh (2020).“Automatable Dis- tributed Regression Analysis of Vertically Partitioned Data Facilitated by PopMedNet: A Feasibility and Enhancement Study.” Journal of Medical Internet Research, under revision.

A. Slavkovic´ and R. Molinari (2020). “Perturbed M-Estimation: A Further Investiga- tion of Robust Statistics for Differential Privacy ”. In Statistics in the Public Interest, Eds. A. Carriquiry et al. To appear.

Jeremy Seeman, Aleksandra Slavkovic and Matthew Reimherr. (2020). ”Private Pos- terior Inference Consistent with Public Information: a Case Study in Small Area Es- timation from Synthetic Census Data”. Privacy in Statistical Databases. PSD 2020. Lecture Notes in Computer Science, vol 12276. Springer, Cham. https://doi.org/10.1007/978- 3-030-57521-2 23

Awan, J. and Slavkovic,´ A. (2020) “Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms.” Journal of American Statistical Association. https://doi:10.1080/01621459.2020.1773831

J. Awan and A. Slavkovic´ (2019). “Differentially Private Inference for Binomial Data”. Journal of Privacy and Conﬁdentiality, 10(1). https://doi.org/10.29012/jpc.725

J Awan, A Kenney, M Reimherr, A Slavkovic´ (2019). “Beneﬁts and Pitfalls of the Exponential Mechanism with Applications to Hilbert Spaces and Functional PCA”. Proceedings of the 36th International Conference on International Conference on Ma- chine Learning (ICML 2019), 97:374–384. https://arxiv.org/abs/1901.10864

Q Her, Y Samizo, T Kent, M Gallagher, A Slavkovic, S Toh (2019). “A R-based application to perform distributed regression analysis with vertically partitioned data.” PHARMACOEPIDEMIOLOGY AND DRUG SAFETY 28, 203-203. REFEREED Qoua L Her, Yuji Samizo, Thomas Kent, Aleksandra B Slavkovic, Mia Gallagher, PUBLICATIONS Darren Toh. (2019). “Redesigning PopMedNetTM for distributed regression analysis with vertically partitioned data.” AMIA 2019 Extended abstract.

Ardalan Mirshani, Matthew Reimherr, and A. Slavkovic (2019) “Formal Privacy for Functional Data with Gaussian Perturbation.” Proceedings of the 36th International Conference on International Conference on Machine Learning (ICML 2019), 97:4595- 4604. http://proceedings.mlr.press/v97/mirshani19a/mirshani19a.pdf

B. Li, V. Karwa, A. Slavkovic, B. Steorts. (2018) “A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms.” Journal of Privacy and Conﬁdentiality 8 (1)

Awan, J. and Slavkovic,´ A. (2018) “Differentially private uniformly most powerful tests for binomial data.” NIPS 2018. https://arxiv.org/abs/1801.09236.

M Pistner, A Slavkovic, and L Vilhuber. (2018) “Synthetic Data via Quantile Re- gression for Heavy-Tailed and Heteroskedastic Data”. International Conference on Privacy in Statistical Databases (PSD 2018). 92-108.

Joshua Snoke and Aleksandra Slavkovic (2018). “pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity”. International Confer- ence on Privacy in Statistical Databases (PSD 2018). 138-159.

Joshua Snoke, Timothy Brick, Aleksandra Slavkovi´c´ and Micheal Hunter, (2018). “Providing Accurate Models across Private Partitioned Data: Secure Maximum Like- lihood Estimation”, Annals of Applied Statistics, Volume 12, 877-914. https://projecteuclid.org/euclid.aoas/1532743480

Snoke, J., B. Nowok, G. M. Raab, C. Dibben, and A. Slavkovic´ (2018). “General and speciﬁc utility measures for synthetic data.” Journal of Royal Statistical Society A (JRSS-A), Volume 181, Issue 3, 663-688. https://doi.org/10.1111/rssa.12358

Jing Lei, Anne-Sophie Charest, Aleksandra Slavkovic,´ Adam Smith, Stephen Fienberg (2018) “Differentially Private Model Selection with Penalized and Constrained Like- lihood”. Journal of Royal Statistical Society, Series A (JRSS-A). Volume 181, Issue 3, 609-633. https://doi.org/10.1111/rssa.12324

Solea, E, Li, B. and Slavkovic,´ A. (2018)“BRIC and MINT: statistical learning of emerging markets ”. Journal of Applied Statistics, Volume 45, Issue 3, 487-507 - Online January 31, 2017. https://doi.org/10.1080/02664763.2017.1280452

Ben Sheng, Kimberly Marsh, Aleksandra B. Slavkovic, Simon Gregson, Timothy B. Hallett, Jeffrey W. Eaton, Le Bao. (2017) “Statistical Models for Estimating HIV/AIDS Epidemics with Multiple Types of Prevalence Data”. AIDS. Vol 31.

Karwa, V., Krivitsky, P. and Slavkovic,´ A., (2017) “Sharing Social Network Data: Dif- ferentially Private Estimation of Exponential Family Random Graph Models.” Journal of Royal Statistical Society, Series C (JRSS-C). Volume 66, Part 3, 1-20. REFEREED Joshua Snoke, Timothy Brick, and Aleksandra Slavkovic,´ (2016). “Accurate Estima- PUBLICATIONS tion of Structural Equation Models with Remote Partitioned Data”, J. Domingo-Ferrer, eds., Privacy in Statistical Databases – PSD 2016, Lecture Notes in Computer Science (LNCS) 9837, pages 190-209. Berlin, Springer-Verlag.

Karwa, V., and Slavkovic,´ A. (2016) “Inference using noisy degrees: Differentially Private β-model and synthetic graphs.” The Annals of Statistics. Volume 44, Number 1, 87-112. http://arxiv.org/abs/1205.4697

Karwa, V., Kifer, D. and Slavkovic´ (2015). “Private Posterior distributions from Vari- ational approximations”. NIPS 2015 Workshop on Learning and Privacy with Incom- plete Data and Weak Supervision. Montreal, Canada. http://giorgiopatrini.org/nips15workshop/contributions/. http://arxiv.org/abs/1511.07896

Slavkovic,´ A., Zhu, X. and Petrovic,´ S. (2015) “Fibers of multi-way contingency tables given conditionals: relation to marginals, cell bounds and Markov bases.” Annals of the Institute of Statistical Mathematics. Vol. 67, pages 621-648. Published online June 25, 2014: DOI 10.1007/s10463-014-0471-z

Woo, Y.M.J. and Slavkovic,´ A. (2014) “Generalized Linear Models with Variables Subject to Post Randomization Method”. Statistica Applicata - Italian Journal of Ap- plied Statistics. Special issue of Ofﬁcial Statistics. Vol 24 (1), pages 29-56.

Karwa, V., Slavkovic,´ A., Krivitsky, P. (2014) “Differentially Private Exponential Ran- dom Graphs.” J. Domingo-Ferrer, eds., Privacy in Statistical Databases – PSD 2014, Lecture Notes in Computer Science (LNCS) 8744, pages 143-155. Berlin, Springer.

Yu, F., Fienberg, S., Slavkovic,´ A, Uhler, C. (2014) “Scalable Privacy-Preserving Data Sharing Methodology for Genome-Wide Association Studies.” Journal of Biomedical Informatics. Special Issue on Informatics Methods in Medical Privacy. Vol. 50., pages: 133-141. http://arxiv.org/abs/1401.5193

Alyssa Goodman, Alberto Pepe, Alexander W. Blocker, Christine L. Borgman, Kyle Cranmer, Merce Crosas, Rosanne Di Stefano, Yolanda Gil, Paul Groth, Margaret Hed- strom, David W. Hogg, Vinay Kashyap, Ashish Mahabal, Aneta Siemiginowska, Alek- sandra Slavkovic.´ (2014) “10 Simple Rules for the Care and Feeding of Scientiﬁc Data.” PLOS Computational Biology. 10 (4), 1-5. doi/10.1371/journal.pcbi.1003542

Karwa, V.and Slavkovic,´ A. (2013) “Conditional inference given partial information in contingency tables using Markov bases.” WIREs Computational Statistics: Advanced Review. 5(3), 207-218.

Uhler, C., Slavkovic,´ A. and Fienberg, S. (2013) “Privacy Preserving Data Sharing for Genome-Wide Association Studies.” Journal of Privacy and Conﬁdentiality. 5(1), 137-166. REFEREED Karwa, V. and Slavkovic,´ A. (2012) “Differentially private graphical degree sequences PUBLICATIONS and synthetic graphs.” J. Domingo-Ferrer and L. Francon, eds., Privacy in Statistical Databases – PSD 2012, Lecture Notes in Computer Science. No.7556, pages 273-285. Berlin, Springer-Verlag.

Woo, Y.M.J. and Slavkovic,´ A. (2012) “Logistic Regression with Variables Subject to Post Randomization Method.” J. Domingo-Ferrer and L. Francon, eds., Privacy in Statistical Databases – PSD 2012, Lecture Notes in Computer Science. No.7556, pages 116-130. Berlin, Springer-Verlag.

Fienberg, S., Slavkovic,´ A. and Uhler, C. (2012) “Privacy Preserving GWAS Data Sharing.” Proceedings of Data Mining Workshops (ICDMW). The 11th IEEE Interna- tional Conference on Data Mining. pages 628-635. IEEE press.

Smucker, B., Slavkovic,´ A.B. and Zhu, X. (2012) “Cell Bounds in k-way Tables given Conditional Frequencies.” Journal of Ofﬁcial Statistics., Vol. 28, Issue 1, pp 121-140.

Convertino, G, Mentis, H., Slavkovic,´ A., Rosson, M.B., and Carroll, J.M. (2011). “Supporting Common Ground and Awareness in Emergency Management Planning: A Design Research Project”. Hiltz, R and Diaz, P., ads. ACM Transactions on Computer- Human Interaction (TOCHI). Special Issue on Media & Collaborative Systems for Crisis Management. Vol. 18, Issue 4, article 22.

Karwa, V., Slavkovic,´ A. and Donnel, E.T. (2011). “Causal Inference in Transportation Safety Studies: Comparison of Potential Outcomes and Causal Diagrams.” Annals of Applied Statistics. Vol. 5, Issue 2B, pages 1428-1455.

Altman, N., Wang, Q., Karwa, V. and Slavkovic,´ A. (2010).“Resolving Isoform Ex- pression using Digital gene Expression Data.” Journal of Indian Society of Agricultural Statistics. Special Issue on Statistical Genomics. Vol. 64, Issue 1, pages 19-31.

Slavkovic,´ A. B. (2010). “Partial Information Releases for Conﬁdential Contingency Table Entries: Present and Future Research Efforts.” Journal of Privacy and Conﬁden- tiality. Vol. 1, Issue 2, Article 9.

Slavkovic,´ A.B. and Lee, J. (2010). “Synthetic two-way contingency tables that pre- serve conditional frequencies.” Statistical Methodology. Special Issue on Statistical Methods for Social Sciences. Vol 7, Issue 3, pages 225-239.

Duy,V. and Slavkovic,´ A. (2009) “Differential Privacy for Clinical Trial Data: Prelim- inary Evaluations.” Proceedings of the International workshop on Privacy Aspects of Data Mining, PADM09, pages 138-143. IEEE Press.

Slavkovic,´ A. and Fienberg, S.E. (2009). “Algebraic Geometry of 2 × 2 Contingency Tables.” In P. Gibilisco, E. Riccomagno, M.P. Rogantin, H.P. Wynn, eds., Algebraic and Geometric Methods in Statistics, pages 63-81. Cambridge University Press, UK.

Fienberg, S.E., Nardi, Y, Slavkovic,´ A.B. (2009). “Valid Statistical Analysis for Lo- gistic Regression with Multiple Sources.” In Gal, C.S., Kantor, P.B., Lesk, M.E., eds., Protecting Persons While Protecting the People. Lecture Notes in Computer Science No. 5661, pages 82-94. Springer, Heidelberg.

REFEREED Convertino, G., Mentis, H.M., Rosson, M.B., Slavkovic,´ A., and Carroll, J.M. (2009). PUBLICATIONS “Supporting Content and Process Common Ground in Computer - Supported Team- work.” In Proceedings of the 27th international conference on Human factors in computing systems, pages 2339-2348. ACM Press, NY.

Dobra, A., Fienberg, S., Rinaldo, A., Slavkovic,´ A. and Zhou, Y. (2009). “Algebraic Statistics and Contingency Table Problems: Log-linear models, likelihood estimation, and disclosure limitation.” In M. Putinar, S. Sullivant, eds., Emerging Applications of Algebraic Geometry: IMA Volumes in Mathematics and its Applications, 149, 63-88.

Smucker, B., and Slavkovic,´ A.B. (2008). “Cell Bounds in Two-Way Contingency Tables Based on Conditional Frequencies.” In J. Domingo-Ferrer and Y. Saygin, eds., Privacy in Statistical Databases – PSD 2008, Lecture Notes in Computer Science No.5262, pages 64-77. Berlin, Springer-Verlag.

Convertino G., Mentis H., Rosson M.B., Carroll J.M., Slavkovic,´ A., and Ganoe, C.H. (2008). “Articulating Common Ground in Cooperative Work: Content and Process.” In Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pages 1637-1646. ACM Press, NY

Fienberg, S.E. and Slavkovic,´ A.B. (2008). “A Survey of Statistical Approaches to Preserving Conﬁdentiality of Contingency Table Entries.” In C. Aggrawal and P. Yu, eds., Privacy-Preserving Data Mining: Models and Algorithms, Vol. 34, pages 291- 312. Springer, New York.

Slavkovic,´ A.B., Nardi, Y. and Tibbits, M.M. (2007). “Secure Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases.” Proceedings of Work- shop on Privacy and Security Aspects of Data Mining, pages 723-728. IEEE Computer Society Press.

Fienberg, S.E, Fulp, W.J., Slavkovic,´ A.B. and Wrobel, T. (2006). “Secure Log-Linear and Logistic Regression Analysis of Distributed Databases.” In J. Domingo-Ferrer and L. Francon, eds., Privacy in Statistical Databases – PSD 2006, Lecture Notes in Computer Science No.4302, pages 277-290. Berlin, Springer-Verlag.

Slavkovic,´ A. and Sullivant, S. (2006). “The Space of Compatible Full Conditionals is a Unimodular Toric Variety.” Special Issue of Journal of Symobolic Computation. 41(2), pages 196-209.

Fienberg, S.E. and Slavkovic,´ A.B. (2005). “Preserving the Conﬁdentiality of Categor- ical Statistical Data Bases When Releasing Information for Association Rules.”Data Mining and Knowledge Discovery Journal. 11(2), pages 155-180.

Slavkovic,´ A.B. (2004). “Statistical Disclosure Limitation with Released Marginals and Conditionals for Contingency Tables.” Proceedings of Workshop on Privacy and Security Aspects of Data Mining ICDM ’04. pages 13-20. IEEE Computer Society Press. Slavkovic,´ A.B. and Fienberg, S.E. (2004). “Bounds for Cell Entries in Two-Way Tables Given Conditional Frequencies.” Domingo-Ferrer, J, ,Vicence, T. (eds.) Pro- ceedings of Privacy in Statistical Databases – PSD’2004. Springer Lecture Notes in Computer Science No.3050, pages 30-43.

Fienberg, S.E. and Slavkovic.´ A.B. (2004). “Making the Release of Conﬁdential Data from Multi-Way Tables Count.” Chance. Vol.17, 3, pages 5-10.

Slavkovic,´ A. (2004). “Automated Scoring of Polygraph Data.” In H. Bozdogan, ed., Statistical Data Mining and Knowledge Discovery, Chapman & Hall/CRC Press, pages 135-155.

Patrick, E., Cosgrov, D., Slavkovic,´ A., Rode, J.A., Verratti, T., Chiselko, G. (2000). “Using a Large Projection Screen as an Alternative to Head Mounted Displays for Virtual Environments.” Proceedings of the ACM CHI 2000 Conf. on Human Factors in Computing Systems, pages 478-485. ACM Press, New York.

Slavkovic,´ A. and Cross, K. (1999). “Novice Heuristics Evaluation of a Complex In- terface.” Extended Abstracts of the ACM CHI 1999 Conference on Human Factors in Computing Systems, pages 96-101. ACM Press, New York.

NON-REFEREED Fang Liu, Sakki Kinney, Aleksandra Slavkovic.´ (2020). Editorial for Special Issue on PUBLICATIONS Data Privacy, CHANCE, Vol 33. No. 4.

Carriquiry, Alicia L., Nancy Reid, and Aleksandra B. Slavkovic.´ (2020). Stephen Elliott Fienberg 1942-2016, Founding Editor of the Annual Review of Statistics and Its Application.” Annual Review of Statistics and Its Application.

A. Slavkovic´ and L. Vilhuber (2018). Remembering Stephen Fienberg. Editorial for Volume 8 (1), Journal of Privacy and Conﬁdentiality.

E. Erosheva and A. Slavkovic´ (April 2017). Obituary: Stephen E. Fienberg, 1942?2016, Institute of Mathematical Statistics (IMS) Bulletin. 46:45.

Snoke, J., B. Nowok, G. M. Raab, C. Dibben, and A. Slavkovic´ (2016b). General and speciﬁc utility for synthetic data. Technical report, Joint Statistical Meetings. Ameri- can Statistician Association Student Paper Competition: Social Statistics, Government Statistics, and Survey Statistics Methodology Sections. Best paper award.

Slavkovic,´ A and Yu, F. (2015). Genomic Privacy: Risk and Protection Methods. CHANCE, Vol. 28, No. 2.

Slavkovic,´ A (2013). Steve the Matchmaker: The Marriage of Statistics and Computer Science in the World of Data Privacy. CHANCE, Vol. 26, No. 4.

Behseta, S. and Slavkovic,´ A (2013). Interview with Steve Fienberg. CHANCE, Vol. 26, No. 4.

Woo, Y.M.J. and Slavkovic,´ A (2012). “Logistic Regression subject to PRAM”. Pro- ceedings of the Federal Committee on Statistical Methodology Research Conference. January 2012. Washington, DC.

Petrovic,´ S. and Slavkovic,´ A (2010). “Algebraic Statistics”. International Encyclope- dia of Statistical Science. Springer-Verlag.

Fienberg, S. E. and Slavkovic,´ A (2010). “Data Privacy and Conﬁdentiality”. Interna- tional Encyclopedia of Statistical Science. Springer-Verlag.

Slavkovic,´ A. (2008). “Coding: Statistical Data Masking Techniques” in E. Melnick and B.Eviritt, eds., Encyclopedia of Quantitative Risk Assessment. Vol 1. John Wiley & Sons Limited, Chichester, UK.

Fienberg, S., Karr, A., Nardi, Y, and Slavkovic,´ A. (2007). Secure logistic regression with distributed databases. In Proceedings of the 56th Session of the ISI, The Bulletin of the International Statistical Institute. Published on the CD Proceedings of ISI 2007.

Slavkovic,´ A. (2002). Evaluating Polygraph Data. Technical Report 766. Department of Statistics. Carnegie Mellon University.

IN PREPARATION Ann Johnston and A. Slavkovic.´ “Register based human population size estimation: a geometric perspective toward assessing sensitivity to unveriﬁable independence as- sumptions.”

Kelling, C., Haran, M., A. Slavkovic, C. Graif, G. Korkmaz. A study of spatial mis- alignment with an application to urban crime.

J. Seeman, M. Reimherr, A. Slavkovic.´ “Mandated disclosure in differentially private table publishing:implications for privacy guarantees and inferential tools.”

Tran Tran, M. Reimherr, A. Slavkovic.´ “Differentially Private Heavy-Tailed Synthetic Data with the K-Norm Gradient Mechanism”.

Michelle Pistner-Nixon, Aleksandra Slavkovic.´ “Knockoff Privacy: Connections be- tween False Discovery RateControl and Data Privacy”.

Yuji Samizo, Aleksandra Slavkovic.“Secure lasso with vertically distributed databases”.

T. Kent, A. Slavkovic, Y. Samizo, Q. Her, Y. Vik. “Distributed Regression Analysis on Vertically Partitioned Data in R”.

EDITORIAL Joint Editor (with A. Peterson-Plunkett, Fang Liu, Sakki Kinney, Aleksandra Slavkovic.´ (2020). Special Issue on Data Privacy, CHANCE.

Joint Editor (with L. Vilhuber). Special issue of Journal of Privacy and Conﬁdential- ity. 2/1/2018-12/23/18. Joint Editor (with S. Petrovic & R. Yoshida). Special issue of Algebraic Statistics. 3/3/2017-present.

Joint Editor (with A. Smith). Special issue of Journal of Privacy and Conﬁdentiality. 4/1/2012.

Column Editor, A. Slavkovic. Roey, S., Krenzke, T. and Perkins, R., (2015) Can “Dirty” Data be Your Friend. CHANCE Column O Privacy, Where Art Thou. VOl. 28, No. 4.

Column Editor, A. Slavkovic. A.S. Charest (2013). Privacy Protection for the European Census Hub. CHANCE Column O Privacy, Where Art Thou. VOl. 26, No. 1.

Column Editor, A. Slavkovic. J. Lane (2013). Protecting Privacy and Conﬁdentiality in an Era of Big Data Access. CHANCE Column O Privacy, Where Art Thou. VOl. 25, No. 4.

Column Editor, A. Slavkovic. J. Reiter (2012). Statistical Disclosure Limitation Re- search and Practice: Fascinating and Growing Areas of Importance. CHANCE Column O Privacy, Where Art Thou. VOl. 25, No. 1.

Column Editor, A. Slavkovic. S. Kinney and A. Karr (2011). Research Access to Restricted-Use Data. CHANCE Column O Privacy, Where Art Thou. VOl. 24, No. 4.

Column Editor, A. Slavkovic. J. M. Abowd and L. Vilhuber(2011). Science, Conﬁden- tiality, and the Public Interest. CHANCE Column O Privacy, Where Art Thou. VOl. 24, No. 3.

Column Editor, A. Slavkovic. S.E. Fienberg (2011). What Should Privacy Mean to You?. CHANCE Column O Privacy, Where Art Thou. VOl. 24, No. 2.

COMPUTER Software: R, S-plus, SAS, SPSS, Minitab, Matlab, LattE, 4ti2 SKILLS Programming: elementary knowledge of C++, Java, HTML. Operating Systems: UNIX/Linux, Windows, Macintosh.

LANGUAGES Serbian (native), English (ﬂuent), German and Spanish (beginner)