CRA members have elected three new members to its board of directors: Lorrie Cranor, Divesh Srivastava and Marvin Theimer. Current board members Penny Rheingans, Shashi Shekhar, and Jaime Teevan were re-elected to the CRA board. Their terms run from July 1, 2019 through June 30, 2022.
The CRA board of directors has elected new board officers to serve two-year terms beginning July 1, 2019. At the February board meeting, Ellen Zegura was elected chair; Nancy Amato was elected vice-chair; Ran Libeskind-Hadas was elected secretary; and James Allan was elected treasurer.
On February 25, CRA hosted its annual Computing Research Leadership Summit for the senior leadership of CRA member societies (Association for the Advancement of Artificial Intelligence, Association for Computing Machinery, CS-Can/Info-Can, IEEE Computer Society, Society for Industrial and Applied Mathematics, and USENIX). Several engaging talks at the Leadership Summit provided useful information on current issues important to the organizations.
In partnership with the National Science Foundation (NSF) and the National Center for Women in Information Technology (NCWIT), CRA announces an initial launch of BPCnet.org, a resource portal designed to amplify the NSF CISE Directorate’s efforts in broadening participation in computing (BPC). CRA anticipates that BPCnet.org will provide a much-needed clearinghouse for the community to learn about and engage with ongoing projects to diversify computing.
By: Jan Cuny, NSF CISE Program Director for Computing Education, Erwin Gianchandani, Deputy Assistant Director of NSF for CISE, and Jim Kurose, Assistant Director of NSF for CISE In: March 2019, Vol. 31/No.3, Current Issue/
Colleges and universities across the country are experiencing a significant influx of students in their undergraduate computer science (CS) courses. Many of these students are seeking the “traditional,” CS-centric undergraduate degrees that have evolved over decades, along with changes in our field. But many other students are quite different from the students whom we have found in our undergraduate majors. While they are interested in computing, they are more interested in creatively applying sophisticated computational skills and methods to a range of disciplines from biology to linguistics to art. They understand that CS knowledge is critical to helping them succeed in nearly any job, that “every field is becoming an information field.”
The Computing Community Consortium (CCC) recently hosted a visioning workshop on Thermodynamic Computing in Honolulu, Hawaii in order to establish a community of like-minded visionaries; craft a statement of research needs; and summarize the current state of understanding within this new area of computing.
By: Josh Deutsch (UC Santa Cruz), Mike DeWeese (UC Berkeley), and Lee Altenberg (University of Hawaiʻi at Mānoa)In: March 2019, Vol. 31/No.3, Current Issue/
In early January, the Computing Community Consortium (CCC) hosted a visioning workshop on Thermodynamic Computing in Honolulu, Hawaii in order to establish a community of like-minded visionaries; craft a statement of research needs; and summarize the current state of understanding within this new area of computing.
President Trump signed an executive order on Maintaining American Leadership in Artificial Intelligence calling on Federal agencies to prioritize investments in research and dedicating Federal resources to boost U.S. artificial intelligence (AI).
The Computing Community Consortium’s (CCC) Industry Working Group has released their Evolving Academia/Industry Relations in Computing Research: Interim Report. In 2015, the CCC sponsored an industry round table that produced the report “The Future of Computing Research: Industry-Academic Collaborations”. Since then, several important trends in computing research have emerged such as the dramatic increase in undergraduate computer science enrollment, the increased availability of information technology, and the rising level of interactions between professors and companies, which has led to the sharing of critical industry resources (such as cloud computing and data). This report considers how these trends impact the interaction between academia and industry in computing fields.
The CRA Center for Evaluating the Research Pipeline concluded its fall 2018 Data Buddies Survey. The survey was modified to provide additional insight on student experiences in computing degree programs. These new data will be used in annual reporting and program evaluation.
Data Buddies 2018 came to a close at the end of February 2019 concluding the sixth year of data collection. Since its launch in 2013, the survey has collected approximately 60,000 total responses and 25,000 of these respondents agreed to join CERP’s longitudinal cohorts.
My research explores algorithmic methods for determining whether a pair of species are likely to have coevolved and, if so, finding the “best” scenarios that explain their evolutionary histories. This work explores the computational complexity of these reconciliation problems, seeks to develop efficient reconciliation algorithms where possible, and, ultimately, to implement these algorithms in practical tools for biologists and educators.
The computational complexity of these reconciliation problems depends on the particular biological events that we seek to model. We’ve shown that in some models the reconciliation problem is not only NP-hard but it’s even difficult to find an approximately optimal solution. In other cases, the reconciliation problem can be solved by efficient polynomial time algorithms.
CRA-ECRA
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2019 CRA Board Election Results and 2019-2021 Executive Committee
In: March 2019, Vol. 31/No.3, Current Issue /CRA members have elected three new members to its board of directors: Lorrie Cranor, Divesh Srivastava and Marvin Theimer. Current board members Penny Rheingans, Shashi Shekhar, and Jaime Teevan were re-elected to the CRA board. Their terms run from July 1, 2019 through June 30, 2022.
The CRA board of directors has elected new board officers to serve two-year terms beginning July 1, 2019. At the February board meeting, Ellen Zegura was elected chair; Nancy Amato was elected vice-chair; Ran Libeskind-Hadas was elected secretary; and James Allan was elected treasurer.
2019 CRA Distinguished Service and A. Nico Habermann Awardees Announced
In: March 2019, Vol. 31/No.3, Current Issue /The CRA board of directors is pleased to announce its selections for the 2019 CRA Awards.
Edward Felten – Distinguished Service Award Winner
Maria Gini – A. Nico Habermann Award Winner
Highlights of the 2019 CRA Computing Leadership Summit
In: March 2019, Vol. 31/No.3, Current Issue /On February 25, CRA hosted its annual Computing Research Leadership Summit for the senior leadership of CRA member societies (Association for the Advancement of Artificial Intelligence, Association for Computing Machinery, CS-Can/Info-Can, IEEE Computer Society, Society for Industrial and Applied Mathematics, and USENIX). Several engaging talks at the Leadership Summit provided useful information on current issues important to the organizations.
CRA Launches BPCnet.org: A Resource Portal for Broadening Participation in Computing Efforts
By: Mary Hall, University of Utah, and Shar Steed, CRAIn: March 2019, Vol. 31/No.3, Current Issue /In partnership with the National Science Foundation (NSF) and the National Center for Women in Information Technology (NCWIT), CRA announces an initial launch of BPCnet.org, a resource portal designed to amplify the NSF CISE Directorate’s efforts in broadening participation in computing (BPC). CRA anticipates that BPCnet.org will provide a much-needed clearinghouse for the community to learn about and engage with ongoing projects to diversify computing.
Re-envisioning Computing in Undergraduate Education
By: Jan Cuny, NSF CISE Program Director for Computing Education, Erwin Gianchandani, Deputy Assistant Director of NSF for CISE, and Jim Kurose, Assistant Director of NSF for CISE In: March 2019, Vol. 31/No.3, Current Issue /Colleges and universities across the country are experiencing a significant influx of students in their undergraduate computer science (CS) courses. Many of these students are seeking the “traditional,” CS-centric undergraduate degrees that have evolved over decades, along with changes in our field. But many other students are quite different from the students whom we have found in our undergraduate majors. While they are interested in computing, they are more interested in creatively applying sophisticated computational skills and methods to a range of disciplines from biology to linguistics to art. They understand that CS knowledge is critical to helping them succeed in nearly any job, that “every field is becoming an information field.”
Recap of the CCC’s Thermodynamic Computing Workshop
By: CCC StaffIn: March 2019, Vol. 31/No.3, Current Issue /The Computing Community Consortium (CCC) recently hosted a visioning workshop on Thermodynamic Computing in Honolulu, Hawaii in order to establish a community of like-minded visionaries; craft a statement of research needs; and summarize the current state of understanding within this new area of computing.
Recap of the Manoa Mini-Symposium on Physics of Adaptive Computation
By: Josh Deutsch (UC Santa Cruz), Mike DeWeese (UC Berkeley), and Lee Altenberg (University of Hawaiʻi at Mānoa)In: March 2019, Vol. 31/No.3, Current Issue /In early January, the Computing Community Consortium (CCC) hosted a visioning workshop on Thermodynamic Computing in Honolulu, Hawaii in order to establish a community of like-minded visionaries; craft a statement of research needs; and summarize the current state of understanding within this new area of computing.
White House Order Prioritizes U.S. Artificial Intelligence (AI) Research
By: CCC Staff, Peter Harsha, and Ann DrobnisIn: March 2019, Vol. 31/No.3, Current Issue /President Trump signed an executive order on Maintaining American Leadership in Artificial Intelligence calling on Federal agencies to prioritize investments in research and dedicating Federal resources to boost U.S. artificial intelligence (AI).
Evolving Academia/Industry Relations in Computing Research: Interim Report Released by the CCC
By: CCC StaffIn: March 2019, Vol. 31/No.3, Current Issue /The Computing Community Consortium’s (CCC) Industry Working Group has released their Evolving Academia/Industry Relations in Computing Research: Interim Report. In 2015, the CCC sponsored an industry round table that produced the report “The Future of Computing Research: Industry-Academic Collaborations”. Since then, several important trends in computing research have emerged such as the dramatic increase in undergraduate computer science enrollment, the increased availability of information technology, and the rising level of interactions between professors and companies, which has led to the sharing of critical industry resources (such as cloud computing and data). This report considers how these trends impact the interaction between academia and industry in computing fields.
Expanding the Pipeline: CERP Data Buddies Survey Finishes Strong with More Insights About Students’ Experiences
By: Heather M. Wright, Associate Director of CERPIn: March 2019, Vol. 31/No.3, Current Issue /The CRA Center for Evaluating the Research Pipeline concluded its fall 2018 Data Buddies Survey. The survey was modified to provide additional insight on student experiences in computing degree programs. These new data will be used in annual reporting and program evaluation.
Data Buddies Survey Collected 60,000 Responses Over the Past Six Years
By: Burçin Tamer, Director of CERPIn: March 2019, Vol. 31/No.3, Current Issue /Data Buddies 2018 came to a close at the end of February 2019 concluding the sixth year of data collection. Since its launch in 2013, the survey has collected approximately 60,000 total responses and 25,000 of these respondents agreed to join CERP’s longitudinal cohorts.
Board Member Highlight: CRA Board Member Ran Libeskind-Hadas
By: Ran Libeskind-HadasIn: March 2019, Vol. 31/No.3, Current Issue /My research explores algorithmic methods for determining whether a pair of species are likely to have coevolved and, if so, finding the “best” scenarios that explain their evolutionary histories. This work explores the computational complexity of these reconciliation problems, seeks to develop efficient reconciliation algorithms where possible, and, ultimately, to implement these algorithms in practical tools for biologists and educators.
The computational complexity of these reconciliation problems depends on the particular biological events that we seek to model. We’ve shown that in some models the reconciliation problem is not only NP-hard but it’s even difficult to find an approximately optimal solution. In other cases, the reconciliation problem can be solved by efficient polynomial time algorithms.